Our client is expanding their technology team and leveraging data-driven solutions to accelerate innovation. They are seeking a talented Senior Data Scientist to extract actionable insights, build predictive models, and drive strategic decision-making. Join a company that values creativity, collaboration, and cutting-edge technology.
Responsibilities:
Collect, clean, and analyze structured and unstructured data.Develop and evaluate machine learning models for anomaly detection, classification, regression, and clustering tasks.Collaborate with data engineers to add new functionality and analytical capabilities to our graph analytics platform.
Requirements:
Proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, numpy, matplotlib).
Understanding of key machine learning concepts and workflows.
Strong problem-solving and analytical thinking skills.
Excellent communication and teamwork abilities.
(Optional) Experience with Golang for backend or high-performance data processing.
(Optional) Familiarity with network science tools (e.g., NetworkX, graph databases).
For more information – please apply for this job or send your CV directly and I will call you back to provide you with more details.Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of, gender, race, age, sexual orientation, religion, or belief.....Read more...
Our client is expanding their technology team and leveraging data-driven solutions to accelerate innovation. They are seeking a talented Senior Data Scientist to extract actionable insights, build predictive models, and drive strategic decision-making. Join a company that values creativity, collaboration, and cutting-edge technology.
Responsibilities:
Collect, clean, and analyze structured and unstructured data.Develop and evaluate machine learning models for anomaly detection, classification, regression, and clustering tasks.Collaborate with data engineers to add new functionality and analytical capabilities to our graph analytics platform.
Requirements:
Proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, numpy, matplotlib).
Understanding of key machine learning concepts and workflows.
Strong problem-solving and analytical thinking skills.
Excellent communication and teamwork abilities.
(Optional) Experience with Golang for backend or high-performance data processing.
(Optional) Familiarity with network science tools (e.g., NetworkX, graph databases).
For more information – please apply for this job or send your CV directly and I will call you back to provide you with more details.
Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of, gender, race, age, sexual orientation, religion, or belief.....Read more...
DevOps Engineer – Burton upon Trent / Hybrid Hybrid workingSalary up to £60,000 per annumA leading client in Burton seeks a DevOps Engineer to design, implement, and maintain AWS and Azure cloud infrastructure. The role involves supporting continuous integration and delivery, ensuring reliability and security, and sharing expertise to help develop the team.Key skills and responsibilities:
Design, deploy, and manage secure, scalable AWS infrastructure.
Build and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins.
Set up monitoring, alerting, and logging with tools like Datadog, Logic Monitor, and Solarwinds.
Strong grasp of DevOps principles; hands-on CI/CD experience.
Microsoft Certified: DevOps Engineer Expert (AZ-400).
Design and deploy containers on AKS/EKS with CloudFormation or ARM templates.
Automate tasks using PowerShell, Bash, or Python.
Manage infrastructure with Terraform, Bicep, or ARM templates (HashiCorp Certified: Terraform Associate).
Enforce security compliance and access controls (IAM, PIM, RBAC).
Respond to incidents; conduct root cause analysis and post-mortems.
Maintain documentation and runbooks.
Collaborate cross-functionally to align DevOps practices with project goals.
Interested?! Send your up-to-date CV to Dean Sadler-Parkes at Crimson for reviewNot interested?! Do you know anyone that might be? Refer a friend for this role to earn £250 worth of vouchers.
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Our client is expanding their technology team and leveraging data-driven solutions to accelerate innovation. They are seeking a talented Senior Data Scientist to extract actionable insights, build predictive models, and drive strategic decision-making. Join a company that values creativity, collaboration, and cutting-edge technology.
Responsibilities:
Collect, clean, and analyze structured and unstructured data.Develop and evaluate machine learning models for anomaly detection, classification, regression, and clustering tasks.Collaborate with data engineers to add new functionality and analytical capabilities to our graph analytics platform.
Requirements:
Proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, numpy, matplotlib).
Understanding of key machine learning concepts and workflows.
Strong problem-solving and analytical thinking skills.
Excellent communication and teamwork abilities.
(Optional) Experience with Golang for backend or high-performance data processing.
(Optional) Familiarity with network science tools (e.g., NetworkX, graph databases).
For more information – please apply for this job or send your CV directly and I will call you back to provide you with more details.Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of, gender, race, age, sexual orientation, religion, or belief.....Read more...
Job Description:
Our client, a leading global financial services organisation based in Glasgow is looking for a Data Engineer to join the team. This is an excellent opportunity to play a pivotal role in the development, enhancement, and ongoing management of a strategic internal platform that supports compliance and market integrity across the business.
Skills/Experience:
Strong technical proficiency in Power BI, Python, Microsoft SQL, PowerApps, Power Automate, and SharePoint.
Solid understanding of data engineering, ETL processes, DataIKU and data integration methodologies.
Previous experience in data governance or data management, with a focus on data quality and metadata management.
Track record in managing complex IT-related projects, with excellent organisational and project management abilities.
Strong analytical and problem-solving skills with exceptional attention to detail.
Ability to influence and drive projects without direct hierarchical authority.
Effective communication and relationship-building skills, with experience working across regions and seniority levels.
Core Responsibilities:
Extend and maintain an internal compliance tool using Microsoft SQL Server, Power Apps, Power Automate, Power BI, Python and SharePoint.
Design and develop APIs to integrate upstream and downstream systems, ensuring data completeness and accuracy.
Optimise database structures, indexes and queries to improve performance and resolve technical challenges.
Automate data ingestion pipelines and strengthen data quality controls.
Enhance the user interface, including visualisation, navigation, categorisation and role-based access management.
Document all functional and technical specifications, operational procedures and troubleshooting processes.
Lead the migration of the current prototype into a scalable, business-as-usual application.
Ensure business continuity, monitoring and incident response frameworks are maintained.
Manage a dynamic backlog, aligning priorities with the Head of Record Keeping Practice.
Provide clear and concise communication of progress, risks and interdependencies to stakeholders and senior leaders.
Act as the subject matter expert for internal audit engagements relating to the record keeping platform.
Support broader compliance market integrity and corporate data initiatives as directed by leadership.
Provide efficient data processing and analysis support for surveillance and market abuse-related projects.
Deliver forensic data analysis and evidence-ready reports for whistleblowing, disciplinary and other investigations.
Core-Asset Consulting is an equal opportunities recruiter and we welcome applications from everyone irrespective of age, disability, gender, gender identity or expression, race, colour, ethnic or national origin, sexual orientation, religion or belief, marital/civil partner status or pregnancy.
Job reference: 16311
To apply for this vacancy applicants must be eligible to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006.
At Core-Asset, we’re committed to protecting and respecting your privacy. Our privacy statement explains when and why we collect personal information about people who engage with our services, how we use it, the conditions under which we may disclose it to others, and how we keep it secure. We may change this policy from time to time, so please check this policy occasionally to ensure that you’re happy with any changes.
By engaging with us (either by applying for a job we’re advertising, registering through our website, or getting in touch with our business) you’re agreeing to be bound by this policy.
Core-Asset Consulting is committed to protecting the privacy of our candidates, clients and website users. For further information, please refer to our full Privacy Statement available on our website http://www.core-asset.co.uk/about-core-asset/privacy-statement
Core-Asset Consulting offers specialist recruitment services to asset management, accounting & finance, asset servicing, legal and the wider financial services sector in Scotland.
INDPERM....Read more...
Please note that this is an apprenticeship position and therefore anyone with more than six months professional experience working as a data analyst or who holds a degree or Master’s degree in a subject such as Data Science, Business Analytics, Maths will not be eligible.
You will also need to commit to completing a Level 4 Data Analyst Apprenticeship.
This apprenticeship offers an excellent opportunity to gain hands-on experience and develop practical skills in data science and analytics while working towards a recognised qualification. As a member of the Data Science Lab, you will support a range of research and data analysis projects, contributing to the development of high-quality datasets, analytical tools, and insightful visualisations. This role enables you to learn from experienced data scientists, collaborate across multidisciplinary teams, and apply your skills to projects that inspire better policy and decision-making.
You will receive comprehensive training and mentorship, developing your expertise in data collection, cleaning, programming, and communication of data-driven insights. Upon completion, you will have built a solid foundation in modern data science workflows and best practice within a research environment. As well as ensuring sufficient training to meet your Level 4 Data Analyst Apprenticeship, you will have access to a range of complimentary training services as part of RAND’s Data Science Lab.
Key responsibilities
Support the extraction, aggregation, and creation of datasets from a range of sources, including open databases, web scraping, policy documents, academic literature, and bibliometric data.
Clean, standardise, and prepare datasets from various sources, ensuring data quality and consistency prior to analysis.
Explore and analyse datasets using a range of analytical tools – including statistical methods, regression analysis, and machine learning techniques – to identify key trends and generate actionable insights for research projects.
Create clear, engaging data visualisations and dashboards to communicate key research insights to internal and external audiences, including policy makers.
Contribute to the adaptation of existing data workflows, such as the systematic application of large language models (LLMs) in a Python programming environment for data extraction and analysis.
Maintain up-to-date code repositories and documentation, ensuring code is well annotated and accessible for team use.
Assist in the development and upkeep of dashboards and digital observatories using tools such as Power BI, Streamlit, Shiny, Plotly or WordPress.
Collaborate across the Data Science Lab and research groups, providing support to colleagues and contributing to a positive, inclusive team environment.
Undertake ad hoc duties as required.
Skills and Experience
Strong interest in data science and research analytics, with demonstrable motivation to build a career in this field.
Familiarity with data analysis, statistical concepts, and creating data visualisations (coursework, science experiments, projects, or self-study count).
Some experience with coding (e.g. Python, R, or similar) is desirable but not essential.
Excellent problem-solving skills.
Effective verbal and written communication skills, with the ability to present findings clearly.
Strong team player who can work collaboratively and communicate clearly within a team.
Self-starter with a positive attitude, curious mindset, and willingness to embrace new challenges.
Commitment to continuous learning and professional development.
Training Outcome:Ongoing employment and career progression. Employer Description:RAND Europe is a not-for-profit policy research organisation. Our mission is to help improve policy- and decision-making through evidence-based research and analysis. We realise our mission by undertaking objective, balanced and relevant research, sharing the insights and information widely, and working in partnership with a range of clients and collaborators.
Our work combines the academic rigour with a task-oriented approach. In addition to our strong ethos of evidence-based research, RAND Europe is a values-driven organisation.Working Hours :Monday - Friday, shifts to be confirmed.Skills: Communication skills,IT skills,Attention to detail,Organisation skills,Problem solving skills,Presentation skills,Number skills,Analytical skills,Logical,Team working,Creative,Initiative,Non judgemental,Patience....Read more...
AWS Cloud Engineer – 2nd Line Support (Contract)
Location: 4 days Office based in Central London, 1 day remote
Contract Length: 6 Months
Rate: £250 - £270 per day (Inside IR35)
Start: ASAP
Are you an experienced AWS Cloud Engineer looking for your next contract? We’re seeking a talented 2nd Line Support Engineer to join a busy team and play a key role in maintaining, troubleshooting, and optimising in a cloud environment.
What You’ll Do
• Provide 2nd line support across AWS cloud infrastructure and associated services
• Troubleshoot incidents, service interruptions, and performance issues
• Support deployments, configuration, and maintenance of cloud resources
• Work closely with 3rd line, DevOps, and architecture teams to resolve complex issues
• Ensure compliance with operational standards, security policies, and best practices
• Maintain technical documentation and contribute to process improvements
Required Skills & Experience
• Strong hands-on AWS experience (EC2, VPC, IAM, S3, CloudWatch, Lambda, etc.)
• Solid knowledge of Linux/Windows administration
• Experience with networking fundamentals (DNS, routing, load balancing, firewalls)
• Familiarity with Terraform, CloudFormation, or similar IaC tools
• Understanding of CI/CD pipelines and modern DevOps workflows
• Proven background in 2nd line/operational support roles
• Excellent communication and problem-solving skills
Nice to Have
• AWS Certifications (Associate or above)
• Experience supporting containerised environments (ECS/EKS/Docker)
• Scripting skills (Python, Bash, PowerShell)
@mecscomms: uniting opportunity with ambition in Telecoms | Media | Technology
@mecscomms is the brand name of MECS Communications Ltd who provide permanent & contract recruitment consultancy service as an Employment Agency & Employment Business.
For more information or a list of current vacancies, please see our web site at mecscomms.co.uk
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An exciting opportunity has arisen for a Cloud DevOps Engineer / Cloud Infrastructure Engineer to join a well-established biotech company using large-scale genetic data and AI to predict disease risk and advance precision healthcare.
As a Cloud DevOps Engineer / Cloud Infrastructure Engineer, you will focus on building, automating, and managing scalable cloud infrastructure while ensuring the highest standards of security and availability.
This is a contract-based role (6-12 months) offering hybrid / remote working options, a salary range of £500 - £600 per day (Inside IR35) and benefits.
Responsibilities:
? Develop and automate infrastructure for cloud-native networks, integrating APIs for seamless operations.
? Work with virtual cloud firewall appliances (e.g., CheckPoint, Cisco) to ensure network security.
? Implement and manage routing protocols such as BGP and OSPF, with a focus on high-availability designs.
? Ensure adherence to software engineering best practices, including unit testing, code reviews, and troubleshooting.
? Support infrastructure-as-code practices using tools like Terraform, Pulumi, and GitOps principles.
? Contribute to an Agile development environment, collaborating with cross-functional teams to deliver robust solutions.
What We Are Looking For:
? Previously worked as a Cloud DevOps Engineer, DevOps Engineer, Platform Engineer, Cloud Infrastructure Engineer, Cloud Engineer, Infrastructure Engineer, Cloud Network Engineer, Cloud Platform Engineer, Cloud Operations Engineer,or in a similar role.
? Technical expertise in virtual cloud firewalls (CheckPoint, Cisco) and cloud security best practices.
? Strong Python programming skills for automation, API integration, and orchestration.
? Proven knowledge of routing protocols (BGP, OSPF) and high-availability architecture.
? Hands-on experience with Infrastructure-as-Code tools (e.g., Terraform, Pulumi) and GitOps methodologies.
? Expertise in software engineering....Read more...
We are looking for an experienced AI/ML Engineer to join one of our client's team.
Role and Responsibilities:
Maintain and extend our Recommendation back-end.
Design, develop, run and evaluate online AB-tests to improve the quality of recommenders.
Support operational excellence through practices like code review and pair programming.
The entire team is responsible for the operations of our services. This includes actively monitoring different applications and their infrastructure as well as intervening to solve operational problems whenever they arise.
Keep up with developments in the wide field of Recommendations and Machine Learning.
Skills and Qualifications:
Degree in computer science, artificial intelligence, a related field, or relevant prior experience
AWS, Kafka, Python (FastAPI), SQL, Docker, Spark
4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Affinity with data analysis
Pre-existing knowledge or experience with machine learning modelling
Interest in NLP
A natural interest in digital media products.
If interested, please get in touch via contact details provided or click “Apply” to forward an up-to-date copy of your CV.
Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of, gender, race, age, sexual orientation, religion, or belief.....Read more...
Data Analyst – Microsoft Technologies
Outside IR35 (£450-500 P/D)
Remote / Birmingham 1-2 days per month
3 Months +
Start Date: 2026
(Sponsorship is not provided for this opportunity)
Data Analyst required for a leading Microsoft Digital Transformation partner based in Birmingham. We are looking for a highly skilled and detail-oriented Data Analyst to join our growing team. In this role, you will be responsible for analysing and interpreting data using Microsoft technologies, helping to drive data-informed decision-making across the organisation. You will work with a variety of data sources to identify key trends, develop clear visual reports, and support business stakeholders with actionable insights.
Key Skills:
Experience with Microsoft Fabric components (e.g., Data Factory, Synapse Data Warehouse, Synapse Data Science/Engineering)
Strong SQL skills
Proficiency with Power BI or similar BI tools (Qlik, Tableau, etc.)
Python preferred (R or Scala also considered)
Advanced Excel capabilities
Nice to Have:
Knowledge of OneLake and Delta Lake
Experience with Spark
Familiarity with Databricks
Interested? Please submit your updated CV to Olivia Yafai at Crimson for immediate consideration.
Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers!
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Ambitious Mathematics graduate wanted for this Quantitative Analyst position. The investment management industry stands at a fascinating crossroads where sophisticated mathematical theory meets real-world market dynamics. This Quantitative Analyst role offers recent graduates with exceptional analytical capabilities the chance to apply advanced statistical methods and machine learning techniques within a genuine fund environment, moving beyond theoretical frameworks into hands-on portfolio analytics and risk assessment. About the Firm A boutique investment management firm operating within London's competitive asset management landscape, this company is evolving its strategic direction with a focus on quantitative approaches to credit analysis. Having previously concentrated on equity strategies, the organisation recognises that mathematical rigour and computational skills will prove essential as it transitions its investment methodology. The culture values intellectual curiosity, analytical precision, and the ability to translate complex mathematical concepts into actionable investment insights. The Role As a Quantitative Analyst, you'll work directly with portfolio managers and senior investment professionals to develop analytical frameworks that support credit assessment and portfolio construction. This position represents a genuine opportunity to shape analytical processes during a pivotal strategic transition, where your quantitative skillset will contribute materially to the firm's evolving investment approach. You'll bridge the gap between theoretical finance and practical application, developing your understanding of fixed income markets whilst leveraging your mathematical and programming expertise. Your core responsibilities will include:Building and refining quantitative models for credit risk assessment, applying statistical techniques to evaluate issuer creditworthiness and default probabilityDeveloping Python-based analytical tools to process and analyse fixed income market data, creating visualisations that communicate complex risk metrics to investment teamsConducting backtesting and validation of quantitative strategies, documenting methodology and results with academic rigourSupporting portfolio construction by analysing correlation structures, duration profiles, and yield curve dynamics across credit instrumentsCollaborating with investment professionals to translate quantitative findings into practical investment recommendationsResearching emerging quantitative techniques applicable to credit markets, staying current with academic literature in financial mathematicsEssential qualifications and experience:Strong academic background in Mathematics, Statistics, Physics, or related quantitative discipline (First Class or high 2:1 honours degree)Postgraduate qualification in Financial Mathematics, Quantitative Finance, or similar field demonstrating specialised knowledgeDemonstrable programming ability in Python, with experience using libraries such as NumPy, Pandas, and scikit-learn for data analysisGenuine intellectual curiosity about financial markets and investment management, with clear motivation for pursuing a quantitative finance careerStrong analytical reasoning skills with ability to approach complex problems systematicallyExcellent communication abilities, capable of explaining mathematical concepts to non-technical audiencesWork Permissions You must have the right to work in the United Kingdom. Visa sponsorship is not available at this time. What you'll gain:Competitive salary of £30,000-£40,000 reflecting your academic achievements and potentialDirect exposure to institutional investment processes and credit market dynamicsMentorship from experienced investment professionals who value quantitative rigourProfessional development pathway with clear progression as analytical capabilities developOpportunity to contribute meaningfully during a strategic transition periodCentral London location with excellent transport connectivityCollaborative environment that rewards analytical thinking and intellectual contributionBuilding a Career in Quantitative Finance The intersection of mathematics and finance continues to expand as investment firms increasingly rely on quantitative methods for decision-making. For graduates with strong analytical foundations, quantitative analyst roles provide an exceptional entry point into the investment industry, offering exposure to sophisticated financial theory whilst developing practical market knowledge. As firms evolve their strategies to incorporate machine learning and alternative data sources, professionals who combine mathematical expertise with genuine market understanding will find themselves particularly well-positioned. The skills developed in quantitative finance roles—rigorous analysis, clear communication of complex ideas, and systematic problem-solving—create pathways toward portfolio management, risk leadership, or specialised quantitative research positions. The Opportunity Hub UK specialises in connecting mathematically talented graduates with investment firms seeking analytical excellence. This Quantitative Analyst position represents a genuine career-building opportunity for ambitious professionals.....Read more...
We are looking for an experienced Senior Data Scientist to join one of our client's team.
Role and Responsibilities:
Development and training of transformer-based models for both text and images.
Architect and oversee the entire model lifecycle, from data preparation, model design, training, development and validation to model deployment and monitoring.
Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to design and implement AI-driven solutions.
Stay current with the latest advancements in AI and machine learning, integrating new techniques and technologies as appropriate.
Skills and Qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Strong expertise with large scale Neural Networks, Deep Learning and Reinforcement Learning techniques.
Practical exposure to GenAI projects and related frameworks (RAG apps, vector DBs, LangChain, LlamaIndex, agentic frameworks, ...)
Advanced knowledge of Python and machine learning frameworks (SciPy, Scikit-learn, TensorFlow, PyTorch, pyMC, pgmpy, ...)
Hands-on experience with one or more cloud computing platforms (Azure - preferred, AWS, GCP).
Understanding of the whole ML lifecycle and experience with MLOps/DataOps.
Experience with Probabilistic Graphical Modelling (Bayesian Networks, Markov Random Fields, Factor Graphs, ...)
Strong problem-solving skills and attention to detail.
Good communication skills, fluent English.
If interested, please get in touch via contact details provided or click “Apply” to forward an up-to-date copy of your CV.
Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of, gender, race, age, sexual orientation, religion, or belief.....Read more...
We are looking for an experienced Senior AI/ML Engineer to join one of our client's team.
Skills and Qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Strong expertise in Python, with a focus on FastAPI, Pandas, and NumPy.
Experience with Retrieval Augmented Generation (RAG).
Proficiency in Prompt Engineering.
Knowledge of vector databases and embedding models.
Familiarity with frameworks such as LangChain, LangGraph, and LlamaIndex.
Experience with multi-agent libraries/frameworks like CrewAI, Autogen, and Taskweave.
Hands-on experience with Azure cloud services, including Azure Functions.
Familiarity with other cloud platforms and their AI services is a plus, but Azure experience is mandatory.
Understanding of data engineering concepts, including data pipelines, data integration, and data warehousing.
Ability to work with large datasets and perform data cleaning, transformation, and manipulation.
Experience with version control, small and regular commits, unit tests, CI/CD, packaging, and Docker.
.NET technology stack proficiency incl. C# is a plus.
Knowledge of AI ethics, bias mitigation, and responsible AI practices is a plus.
Strong analytical thinking and creative problem-solving skills.
Good communication skills for collaborating with cross-functional teams and stakeholders.
If interested, please get in touch via contact details provided or click “Apply” to forward an up-to-date copy of your CV.
Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of, gender, race, age, sexual orientation, religion, or belief.....Read more...
Role Summary A unique internship opportunity for undergraduates with strong analytical abilities and interest in financial services, commencing June/July for 2-4 months. Company Profile The Opportunity Hub UK has partnered with an established financial services organisation based across Woking and London locations. Our client combines technological innovation with financial expertise to deliver market-leading solutions to their customers. Internship Overview This structured programme offers practical experience in business and financial analysis within a technology-driven environment. You'll work within cross-functional teams to analyse data, develop insights, and contribute to business decision-making processes. Main DutiesSupport the analysis of financial data using various analytical toolsAssist in creating reports and dashboards for business intelligenceHelp identify patterns and trends in complex datasetsCollaborate with technical and non-technical stakeholdersContribute to process improvement initiativesEssential RequirementsCurrent undergraduate in Finance, Business, Economics, Mathematics, Statistics, or related disciplinesStrong analytical capabilities and attention to detailProficiency in data analysis tools (SQL, Excel, Python beneficial but not required)Excellent numerical and statistical reasoningStrong communication skills to present findings to varied audiencesLegal Requirements All candidates must have the right to work in the UK. We cannot provide visa sponsorship for this position. Professional Development This position offers a competitive salary of £24,000-£25,000 (pro-rated). The intersection of business analysis and financial services represents one of the most dynamic and rewarding career paths available. This internship provides foundational experience for roles such as Financial Analyst, Business Intelligence Specialist, or Data Analyst within the financial services sector. The analytical skills developed are highly valued across industries.....Read more...
C Software Engineer – Defence Sector – Cambridge
A growing Defence and Security company, based in Cambridge, is currently seeking an experienced C Software Engineer to contribute to the development of breakthrough technologies that will enhance the UK’s security against external threats.
You will have the opportunity to work on cutting-edge systems architecture, ideally utilizing past firmware and embedded software tools. The projects you will be involved in will truly mind-blowing, challenging you on a daily basis.
It would also be ideally, though not essential, if you have previous knowledge and experience in Software-Defined Radio (SDR) and Real-Time Operating Systems (RTOS). There will also be a significant amount of algorithm development, so a strong mathematical background would be advantageous in this role.
The company has recently revamped cutting-edge labs, enabling development at the forefront of the sector. This means you will be working on brand-new developments using the latest technologies available.
Knowledge of other programming languages such as C++, MATLAB, or Python will also be required.
As this role involves working in the defence and security sectors, you will need to be able to obtain (or already hold) security clearance. If you have previous experience in the defence and security field and hold security clearance, this would be highly advantageous.
In addition to working within a growing company on some of the most fascinating projects, you will also be rewarded with an excellent starting salary (based on level of experience), bonuses, enhanced pensions, healthcare, gym membership, free lunches, and other excellent benefits you would expect from a larger organisation.
If you believe you are well-suited for this role, I suggest submitting an application now to avoid missing out on this career opportunity.
For more information, please feel free to call Andrew Welsh, Director of Medical Devices Recruitment and Scientific Recruitment Specialists Newton Colmore, on +44 121 268 2240, or submit an application, and one of our team members at Newton Colmore will contact you.
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Our client is seeking a Senior AI/ML Engineer to lead the development and deployment of advanced machine learning models and AI-driven solutions. This is a unique opportunity to join an innovative team focused on pushing the boundaries of applied artificial intelligence and large-scale model optimization.
Role and Responsibilities:
Lead initiatives involving fine-tuning or distillation of large-scale models for specialized tasks.
Design, build, and optimize multi-agent architectures (e.g., LangGraph, AutoGen, crewAI) to enable distributed AI functionality.
Develop and implement multimodal systems integrating text, image, and audio inputs.
Contribute to AI-first features that incorporate feedback loops, human-in-the-loop systems, or adaptive behaviors.
Engage with research and open-source communities through publications or contributions to leading AI projects.
Requirements:
Senior-level experience with a proven track record in AI/ML model development and deployment.
Strong programming skills in Python with experience using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Advanced knowledge in Deep Learning, NLP, and LLM fine-tuning, including hands-on work with Hugging Face Transformers.
Demonstrated experience deploying LLMs (e.g., OpenAI, Anthropic, Mistral) into large-scale production environments.
Proficiency with cloud and MLOps tools (AWS, Azure, GCP, MLflow, Kubeflow, containerization).
Solid understanding of distributed systems and data engineering principles.
Strong knowledge of orchestration tools such as LangChain, LlamaIndex, and experience with agent-based systems.
Excellent problem-solving skills, analytical mindset, and ability to work independently on complex technical challenges.
Strong communication skills and fluency in English.
For more information – please apply for this job or send your CV directly and we will contact you to provide further details.Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of gender, race, age, sexual orientation, religion, or belief.....Read more...
Our client is seeking a Senior Data Scientist – GenAI to develop and deploy cutting-edge generative AI models that drive innovation and business impact. Join a forward-thinking team at the forefront of next-generation AI solutions.
Role and Responsibilities:
Development and training of transformer-based models for both text and images.
Architect and oversee the entire model lifecycle, from data preparation, model design, training, development and validation to model deployment and monitoring.
Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to design and implement AI-driven solutions.
Stay current with the latest advancements in AI and machine learning, integrating new techniques and technologies as appropriate.
Requirements:
Senior with 5+ years of relevant experience
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Strong expertise with large scale Neural Networks, Deep Learning and Reinforcement Learning techniques.
Practical exposure to GenAI projects and related frameworks (RAG apps, vector DBs, LangChain, LlamaIndex, agentic frameworks, ...)
Advanced knowledge of Python and machine learning frameworks (SciPy, Scikit-learn, TensorFlow, PyTorch, pyMC, pgmpy, ...)
Hands-on experience with one or more cloud computing platforms (Azure - preferred, AWS, GCP).
Understanding of the whole ML lifecycle and experience with MLOps/DataOps.
Experience with Probabilistic Graphical Modelling (Bayesian Networks, Markov Random Fields, Factor Graphs, ...)
Strong problem-solving skills and attention to detail.
Good communication skills, fluent English.
For more information – please apply for this job or send your CV directly and I will call you back to provide you with more details.Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of, gender, race, age, sexual orientation, religion, or belief.....Read more...
Our client is seeking a Senior AI/ML Engineer to lead the development and deployment of advanced machine learning models and AI-driven solutions. This is a unique opportunity to join an innovative team focused on pushing the boundaries of applied artificial intelligence and large-scale model optimization.
Role and Responsibilities:
Lead initiatives involving fine-tuning or distillation of large-scale models for specialized tasks.
Design, build, and optimize multi-agent architectures (e.g., LangGraph, AutoGen, crewAI) to enable distributed AI functionality.
Develop and implement multimodal systems integrating text, image, and audio inputs.
Contribute to AI-first features that incorporate feedback loops, human-in-the-loop systems, or adaptive behaviors.
Engage with research and open-source communities through publications or contributions to leading AI projects.
Requirements:
Senior-level experience with a proven track record in AI/ML model development and deployment.
Strong programming skills in Python with experience using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Advanced knowledge in Deep Learning, NLP, and LLM fine-tuning, including hands-on work with Hugging Face Transformers.
Demonstrated experience deploying LLMs (e.g., OpenAI, Anthropic, Mistral) into large-scale production environments.
Proficiency with cloud and MLOps tools (AWS, Azure, GCP, MLflow, Kubeflow, containerization).
Solid understanding of distributed systems and data engineering principles.
Strong knowledge of orchestration tools such as LangChain, LlamaIndex, and experience with agent-based systems.
Excellent problem-solving skills, analytical mindset, and ability to work independently on complex technical challenges.
Strong communication skills and fluency in English.
For more information – please apply for this job or send your CV directly and we will contact you to provide further details.Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of gender, race, age, sexual orientation, religion, or belief.....Read more...
Our client is seeking a Senior Data Scientist – GenAI to develop and deploy cutting-edge generative AI models that drive innovation and business impact. Join a forward-thinking team at the forefront of next-generation AI solutions.
Role and Responsibilities:
Development and training of transformer-based models for both text and images.
Architect and oversee the entire model lifecycle, from data preparation, model design, training, development and validation to model deployment and monitoring.
Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to design and implement AI-driven solutions.
Stay current with the latest advancements in AI and machine learning, integrating new techniques and technologies as appropriate.
Skills and Requirements:
Senior with 5+ years of relevant experience
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Strong expertise with large scale Neural Networks, Deep Learning and Reinforcement Learning techniques.
Practical exposure to GenAI projects and related frameworks (RAG apps, vector DBs, LangChain, LlamaIndex, agentic frameworks, ...)
Advanced knowledge of Python and machine learning frameworks (SciPy, Scikit-learn, TensorFlow, PyTorch, pyMC, pgmpy, ...)
Hands-on experience with one or more cloud computing platforms (Azure - preferred, AWS, GCP).
Understanding of the whole ML lifecycle and experience with MLOps/DataOps.
Experience with Probabilistic Graphical Modelling (Bayesian Networks, Markov Random Fields, Factor Graphs, ...)
Strong problem-solving skills and attention to detail.
Good communication skills, fluent English.
For more information – please apply for this job or send your CV directly and I will call you back to provide you with more details.
Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of, gender, race, age, sexual orientation, religion, or belief.....Read more...
A Graduate/Junior Firmware Engineer is sought to join an innovative engineering team in Wiltshire, contributing to the design and development of embedded firmware used in modern data logging, sensing, and display solutions.
The Graduate/Junior Firmware Engineer, Wiltshire, will be expected to develop their understanding in the field, learning from peers and senior engineers in technical areas and industry best practices. This may include embedded system design, real-time firmware development, hardware–software integration, and processes used in production.
Responsibilities include:
Work with engineering, product, and hardware teams to define product and firmware specifications.
Assist in developing embedded firmware, writing high-quality C/C++ code for microcontrollers and resource-constrained systems.
Support the development and execution of firmware test plans and validation procedures for prototypes and production-ready products.
Assist in debugging and validating embedded systems, supporting hardware bring-up and integration of peripheral drivers.
Collaborate closely with hardware, software, and manufacturing teams to ensure seamless end-to-end product delivery.
Maintain and update technical documentation, including firmware design specifications and user manuals.
Support product lifecycle activities, learn from senior engineers, and assist with CI/CD processes to ensure reliable firmware deployment.
Key skills & experience:
Degree in Electronic Engineering, Computer Science, or related discipline, or equivalent industry experience.
Basic proficiency in C/C++ firmware development for embedded systems, with a willingness to learn and develop expertise.
Familiarity with RTOS environments such as Zephyr, compilers, IDEs, or firmware development toolchains is advantageous.
An understanding of digital electronics, hardware interfaces, and embedded debugging is desirable.
Exposure to version control systems such as Git, and Python for scripting/automation is a plus.
Strong problem-solving abilities, eagerness to learn, and effective communication skills.
How to apply:
Apply now for the Graduate/Junior Firmware Engineer role in Wiltshire. Send your CV to adighton@redlinegroup.com or call Adam on 07961158768.....Read more...
A Senior Firmware Engineer is sought to join an innovative engineering team in Wiltshire, contributing to the design and development of advanced embedded firmware used in modern data logging, sensing, and display solutions.
The Senior Firmware Engineer, Wiltshire, will be expected to develop their understanding in the field, learning from peers and leading engineers in technical areas and industry best practices. This may include embedded system design, real-time firmware development, hardware–software integration, and processes used in production.
Responsibilities include:
Work with engineering, product, and hardware teams to define product and firmware specifications.
Create embedded firmware designs, developing high-quality C/C++ code for microcontrollers and resource-constrained systems.
Develop and execute firmware test plans and validation procedures for prototypes and production-ready products.
Debug and validate embedded systems, supporting hardware bring-up, BSP development, and integration of peripheral drivers.
Collaborate closely with hardware, software, and manufacturing teams to ensure seamless end-to-end product delivery.
Maintain comprehensive technical documentation, including firmware design specifications and user manuals.
Support product lifecycle activities, provide technical leadership to junior engineers, and implement CI/CD processes to support reliable firmware deployment.
Key skills & experience:
Degree in Electronic Engineering, Computer Science, or related discipline, or equivalent industry experience.
Proficiency in C/C++ firmware development for embedded systems.
Practical experience with RTOS environments such as Zephyr, and familiarity with compilers, IDEs, and firmware development toolchains.
Strong understanding of digital electronics, hardware interfaces, and embedded debugging techniques.
Experience with version control systems such as Git, and ideally exposure to Python for scripting or automation.
Strong problem-solving abilities, technical leadership skills, and effective communication.
How to apply:
Apply now for the Senior Firmware Engineer role in Wiltshire. Send your CV to adighton@redlinegroup.com or call Adam on 07961158768....Read more...
Our client is seeking a Senior AI/ML Engineer to lead the development and deployment of advanced machine learning models and AI-driven solutions. This is a unique opportunity to join an innovative team focused on pushing the boundaries of applied artificial intelligence and large-scale model optimization.
Role and Responsibilities:
Lead initiatives involving fine-tuning or distillation of large-scale models for specialized tasks.
Design, build, and optimize multi-agent architectures (e.g., LangGraph, AutoGen, crewAI) to enable distributed AI functionality.
Develop and implement multimodal systems integrating text, image, and audio inputs.
Contribute to AI-first features that incorporate feedback loops, human-in-the-loop systems, or adaptive behaviors.
Engage with research and open-source communities through publications or contributions to leading AI projects.
Requirements:
Senior-level experience with a proven track record in AI/ML model development and deployment.
Strong programming skills in Python with experience using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Advanced knowledge in Deep Learning, NLP, and LLM fine-tuning, including hands-on work with Hugging Face Transformers.
Demonstrated experience deploying LLMs (e.g., OpenAI, Anthropic, Mistral) into large-scale production environments.
Proficiency with cloud and MLOps tools (AWS, Azure, GCP, MLflow, Kubeflow, containerization).
Solid understanding of distributed systems and data engineering principles.
Strong knowledge of orchestration tools such as LangChain, LlamaIndex, and experience with agent-based systems.
Excellent problem-solving skills, analytical mindset, and ability to work independently on complex technical challenges.
Strong communication skills and fluency in English.
For more information – please apply for this job or send your CV directly and we will contact you to provide further details.Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of gender, race, age, sexual orientation, religion, or belief.....Read more...
Our client is seeking a Senior Data Scientist – GenAI to develop and deploy cutting-edge generative AI models that drive innovation and business impact. Join a forward-thinking team at the forefront of next-generation AI solutions.
Role and Responsibilities:
Development and training of transformer-based models for both text and images.
Architect and oversee the entire model lifecycle, from data preparation, model design, training, development and validation to model deployment and monitoring.
Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to design and implement AI-driven solutions.
Stay current with the latest advancements in AI and machine learning, integrating new techniques and technologies as appropriate.
Requirements:
Senior with 5+ years of relevant experience
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Strong expertise with large scale Neural Networks, Deep Learning and Reinforcement Learning techniques.
Practical exposure to GenAI projects and related frameworks (RAG apps, vector DBs, LangChain, LlamaIndex, agentic frameworks, ...)
Advanced knowledge of Python and machine learning frameworks (SciPy, Scikit-learn, TensorFlow, PyTorch, pyMC, pgmpy, ...)
Hands-on experience with one or more cloud computing platforms (Azure - preferred, AWS, GCP).
Understanding of the whole ML lifecycle and experience with MLOps/DataOps.
Experience with Probabilistic Graphical Modelling (Bayesian Networks, Markov Random Fields, Factor Graphs, ...)
Strong problem-solving skills and attention to detail.
Good communication skills, fluent English.
For more information – please apply for this job or send your CV directly and I will call you back to provide you with more details.Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of, gender, race, age, sexual orientation, religion, or belief.....Read more...
Work across all stages of the software development lifecycle, from planning and design to testing, deployment, and maintenance.
Write clear, logical, and maintainable code that meets project specifications and coding standards.
Use version control systems to manage and store code safely.
Help fix bugs and support the maintenance of existing software systems.
Take part in different types of testing, such as unit, integration, and end-to-end testing.
Follow secure coding practices to protect software from security risks.
Connect code to data sources to ensure software functions correctly.
Communicate and work with team members, stakeholders, and customers, and help create technical documents like user stories and design diagrams.
Training:As a Software Developer apprentice, your role will consist of creating and testing high-quality code. You will use programming languages and software development tools such as Java, Python, and C++.
You will be responsible for interpreting customer requirements from a design specification, planning and managing their contribution to the wider project, and creating effective software solutions.
Due to the nature of the role, you could be employed within a wide range of businesses and sectors – from SME games studios to finance multinationals. All corporations depend on software in some way to function!Training Outcome:This apprenticeship provides you with the skills to become a fully fledged software developer.Employer Description:OSL Technology is looking for an enthusiastic and motivated individual to begin their career in software development. The company designs and develops cutting-edge software that powers security systems across airports, defence sites, and critical infrastructure. Their technology combines AI, smart sensors, and data analytics to keep people and places safe, and they are now looking for the next generation of developers to join the team.Working Hours :9am-6pm Monday to FridaySkills: Communication skills,IT skills,Attention to detail,Logical....Read more...
Work across all stages of the software development lifecycle, from planning and design to testing, deployment, and maintenance.
Write clear, logical, and maintainable code that meets project specifications and coding standards.
Use version control systems to manage and store code safely.Help fix bugs and support the maintenance of existing software systems.
Take part in different types of testing, such as unit, integration, and end-to-end testing.
Follow secure coding practices to protect software from security risks.
Connect code to data sources to ensure software functions correctly.
Communicate and work with team members, stakeholders, and customers, and help create technical documents like user stories and design diagrams.
Training:As a Software Developer apprentice, your role will consist of creating and testing high-quality code. You will use programming languages and software development tools such as Java, Python, and C++.
You will be responsible for interpreting customer requirements from a design specification, planning and managing their contribution to the wider project, and creating effective software solutions.
Due to the nature of the role, you could be employed within a wide range of businesses and sectors – from SME games studios to finance multinationals. All corporations depend on software in some way to function!Training Outcome:This apprenticeship provides you with the skills to become a software developer.Employer Description:OSL Technology is looking for an enthusiastic and motivated individual to begin their career in software development. The company designs and develops cutting-edge software that powers security systems across airports, defence sites, and critical infrastructure. Their technology combines AI, smart sensors, and data analytics to keep people and places safe, and they are now looking for the next generation of developers to join the team.Working Hours :Monday - Friday between 9am-6pmSkills: Communication skills,IT skills,Organisation skills,Analytical skills,Logical,Team working....Read more...
