Machine Learning Engineer - Hybrid Modelling
Newton Colmore is partnered with a venture-backed deep tech company developing novel intelligent systems that will transform how complex industrial and scientific processes are designed, monitored, and optimised.
As the organisation continues to scale, they are seeking a machine learning engineer to take ownership of advanced modelling, machine learning, and predictive analytics initiatives at the heart of their technology platform.
You will be joining a highly talented team of scientists and engineers who are tackling a difficult technical challenge and applying new computational methods to real-world problems. The role offers autonomy, access to leadership, and the opportunity to help shape both technology strategy and future product direction.
In this role you will work across the full lifecycle of scientific and engineering modelling, turning complex data into pratical insights
Responsibilities include:
Developing advanced mathematical and machine learning models for complex real-world systems.
Building predictive models and digital representations of physical processes.
Combining first-principles approaches with modern AI and machine learning techniques.
Designing and analysing experimental programmes to generate meaningful insights and improve model performance.
Working with large-scale sensor and operational datasets to develop forecasting and monitoring capabilities.
To be successful in this role you will need a strong quantitative background and a track record of applying advanced modelling techniques to real-world challenges.
You will likely have:
MSc or PhD in Mathematics, Physics, Statistics, Applied Mathematics, Computer Science, Engineering, or a related quantitative discipline.
Industrial experience developing computational, statistical or machine learning models.
Strong understanding of mathematical modelling, optimisation, simulation, or predictive analytics.
Excellent Python programming skills and experience working with modern scientific computing frameworks.
Any additional experience with digital twin technologies, Bayesian modelling, or working knowledge gained within an engineering or life sciences setting would be highly advantageous.
What's on Offer
Opportunity to play a pivotal role in a rapidly growing deep-tech company.
High-impact position with significant technical ownership.
Competitive salary package.
Meaningful equity participation.
Clear progression path into technical leadership.
Collaborative, highly capable and mission-driven team environment.
The chance to work on genuinely novel technology with impact.
For a confidential discussion, please apply or contact us directly. Full details of the company and technology will be shared with shortlisted candidates.
....Read more...
Machine Learning Engineer - Hybrid Modelling - Remote / Hybrid
Newton Colmore is partnered with a venture-backed deep tech company developing novel intelligent systems that will transform how complex industrial and scientific processes are designed, monitored, and optimised. This will be either a hybrid or remote role with occasional travel to HQ in Spain.
As the organisation continues to scale, they are seeking a machine learning engineer to take ownership of advanced modelling, machine learning, and predictive analytics initiatives at the heart of their technology platform.
You will be joining a highly talented team of scientists and engineers who are tackling a difficult technical challenge and applying new computational methods to real-world problems. The role offers autonomy, access to leadership, and the opportunity to help shape both technology strategy and future product direction.
In this role you will work across the full lifecycle of scientific and engineering modelling, turning complex data into pratical insights
Responsibilities include:
Developing advanced mathematical and machine learning models for complex real-world systems.
Building predictive models and digital representations of physical processes.
Combining first-principles approaches with modern AI and machine learning techniques.
Designing and analysing experimental programmes to generate meaningful insights and improve model performance.
Working with large-scale sensor and operational datasets to develop forecasting and monitoring capabilities.
To be successful in this role you will need a strong quantitative background and a track record of applying advanced modelling techniques to real-world challenges.
You will likely have:
MSc or PhD in Mathematics, Physics, Statistics, Applied Mathematics, Computer Science, Engineering, or a related quantitative discipline.
Industrial experience developing computational, statistical or machine learning models.
Strong understanding of mathematical modelling, optimisation, simulation, or predictive analytics.
Excellent Python programming skills and experience working with modern scientific computing frameworks.
Any additional experience with digital twin technologies, Bayesian modelling, or working knowledge gained within an engineering or life sciences setting would be highly advantageous.
What's on Offer
Opportunity to play a pivotal role in a rapidly growing deep-tech company.
High-impact position with significant technical ownership.
Competitive salary package.
Meaningful equity participation.
Clear progression path into technical leadership.
Collaborative, highly capable and mission-driven team environment.
The chance to work on genuinely novel technology with impact.
For a confidential discussion, please apply or contact us directly. Full details of the company and technology will be shared with shortlisted candidates.
....Read more...
Senior Modelling Scientist – San Sebastián/Donostia – Fully Remote – High‑Growth Start‑Up
An exciting Bioprocessing start‑up company, based in San Sebastián, is keen to bring an experienced Senior Modelling Scientist, Simulation Scientist or Mathematical Modelling Scientist into the team to lead complex modelling projects within the bioprocessing and life science sectors.
As this role is centred on advanced modelling work, you can operate fully remotely. We welcome applications from across Europe. If you prefer hybrid or on‑site collaboration, the team is equally happy to support that.
You will likely hold a PhD or MSc in Mathematics, Physics, Applied Mathematics, Statistics, Life Sciences or a related discipline that has led you into a modelling‑focused career. Given the autonomy of the position, you will also need several years of industry experience and the ability to manage complex work without continual oversight.
As the company grows, your responsibilities will expand with it, offering genuine long‑term career development that is rarely available in remote‑first roles. You’ll be joining a well‑funded organisation with ambitious growth plans and a clear vision for how advanced modelling accelerates their technology roadmap.
English fluency is essential. Spanish would be beneficial but is not required.
You will be rewarded with an excellent starting salary and bonuses. This is a well‑funded company with strong backing and an exciting trajectory.
We expect significant interest in this position, so apply immediately or risk missing out.
To discuss the role in more detail, contact Andrew Welsh, Director of Medical Devices, Biotech and DeepTech Recruitment at Newton Colmore, on +44 121 268 2240.
Alternatively, submit your CV and a member of our team will be in touch to discuss next steps.....Read more...
Simulation & Modelling Engineer – Cambridge – Cutting‑Edge Technology Projects
I’m supporting a growing engineering team in Cambridge who are looking to bring in an experienced Simulation & Modelling Engineer to work on a range of technically challenging, concept‑driven projects. This is a role for someone who enjoys diving into complex systems, understanding how they behave, and turning that insight into robust models that guide real‑world engineering decisions.
You’ll be working closely with multidisciplinary teams made up of physicists, engineers, mathematicians and designers, contributing to early‑stage ideas, shaping system behaviour, and helping to turn concepts into functioning prototypes. The work is fast‑paced, varied, and ideal for someone who thrives on solving difficult problems with a mix of analytical thinking and hands‑on engineering.
The position centres around building and refining mathematical models using MATLAB and Simulink, analysing system interactions, and supporting the development of new technologies. You’ll draw on your background in physics, electronics, mathematics or a related discipline, and you’ll bring industry experience that allows you to approach challenges with both rigour and creativity. Experience within defence is helpful but absolutely not essential — strong fundamentals and curiosity matter more.
You’ll be involved in model‑based systems engineering, developing physics‑driven models, shaping system architectures, and contributing to test environments and code reviews. Any exposure to hardware‑in‑the‑loop, DSP, radar signal processing or embedded code generation would be a welcome bonus, but the team is open‑minded and supportive of people who want to broaden their skillset.
The organisation is continuing to scale, offering a genuinely collaborative environment with modern labs, a flat structure, and the freedom to contribute ideas from day one. You’ll be surrounded by people who enjoy pushing boundaries, sharing knowledge, and working on technology that has real‑world impact. Strong benefits, professional development opportunities, and a culture built around trust and autonomy are all part of the package.
Due to the nature of the work, you will need to be eligible for UK security clearance.
If this sounds like the kind of challenge you’ve been looking for, apply now or risk missing out.
To discuss the position in more detail, you can contact Andrew Welsh, Director of Medical Devices, Biotech and DeepTech Recruitment at Newton Colmore, on +44 121 268 2240. You can also submit your CV and a member of the team will be in touch to talk through next steps.....Read more...
Apply appropriate civil engineering principles, techniques, and methods, including mathematical, scientific, and technical know-how, to civil engineering and the construction process
Apply key principles, techniques and methods of data and technical information collection, analysis, and evaluation to support the delivery of civil engineering models, designs, and technical solutions
Operate appropriate software packages for data gathering and analysis, such as Computer Aided Design (CAD) or Building Information Modelling (BIM), to create technical drawings, models and designs using relevant conventions and engineering terminology
Apply statutory health, safety and welfare policies, procedures, and regulations in the civil engineering environment, using risk management processes, procedures, and documentation
Support and contribute to the production or modification of civil engineering technical solutions in accordance with relevant industry standards, regulations, and procedures and codes of practice
Apply environmental policies and sustainable principles in civil engineering projects, recognising the need to reduce carbon use, lower emissions and plan for wider sustainability
Plan, carry out and manage own work in line with quality assurance, recognising the wider implications to customer needs, and within cost and resource limitations
Consider equality, diversity and inclusion in the delivery of civil engineering projects
Training:The successful candidate will work towards a Level 3 Civil Engineering Technician Qualification which will take 18 months plus End Point Assessment (EPA).Training Outcome:Full time role.Employer Description:Enable Futures, award-winning Shared/Flexi Job apprenticeship service will support you through your apprenticeship journey and professional development. We employ our apprentices directly and are listed on the Flexi Job Apprenticeship Register. We work with hosts in Yorkshire and the North East to provide apprentices in the construction and civil engineering industry.Working Hours :Monday to Friday, 08:30 - 17:00.Skills: Communication skills,IT skills,Attention to detail,Problem solving skills,Number skills,Analytical skills,Team working,Initiative....Read more...
Excellent opportunity for a Senior FPGA Engineer – Compute Architecture & Hardware Acceleration to join an innovative technology business on a hybrid basis, with time spent at their Oxford site, helping develop next-generation probabilistic computing platforms and advanced hardware acceleration solutions. This role will require expertise in FPGA design, algorithm implementation, and high-speed digital systems development.
Key responsibilities for the Senior FPGA Engineer – Compute Architecture & Hardware Acceleration role (hybrid and Oxford based):
Translate complex probabilistic algorithms from Python, C++, MATLAB and pseudocode into highly pipelined, resource-efficient FPGA RTL designs
Design and implement custom digital logic in VHDL from scratch where vendor IP is unsuitable, introduces latency or creates bottlenecks
Architect and integrate high-speed data acquisition pipelines utilising ultra-fast ADCs, PCIe, high-speed Ethernet and transceiver technologies
Work closely with hardware engineers, software developers, researchers and ASIC architects to define system architecture and technical solutions
Develop robust verification environments, perform hardware bring-up activities and optimise timing, power and resource utilisation across multiple clock domains
Key skills required for the Senior FPGA Engineer – Compute Architecture & Hardware Acceleration role:
Degree in Electrical Engineering, Computer Engineering or a related discipline
Demonstrable experience of FPGA digital design experience developing complex, high-speed digital systems
Strong HDL expertise with a proven ability to develop custom RTL from scratch
Experience with FPGA SoC platforms, including practical knowledge of processor-side development and PS/PL architectures such as Zynq
Proven ability to translate mathematical or algorithmic models into hardware accelerators using fixed-point arithmetic and bit-accurate modelling techniques
Strong understanding of timing closure, clock domain crossing (CDC) and advanced digital design principles
Experience with Xilinx Vivado, Vitis and TCL scripting toolchains
Familiarity with hardware debugging tools including oscilloscopes, logic analysers, JTAG debuggers and signal generators
This is an opportunity to work at the forefront of probabilistic computing, helping define the hardware architecture for a revolutionary computing platform while collaborating with leading experts and researchers in the field.
APPLY NOW! To apply for the Senior FPGA Engineer – Compute Architecture & Hardware Acceleration role (hybrid and Oxford based), please send your CV to mbelmar@redlinegroup.Com, or for more information contact Mike Belmar on 01582 878807.....Read more...
