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...
Key responsibilities:
Assisting in the collection and organisation of raw data from various sources to support data-driven leadership
Learning to transform data into usable formats for analysis, ensuring the data is ready for decision-making processes
Collaborating with the team to validate data quality and helping maintain clean and accurate datasets for reliable insights
Gaining exposure to database administration tasks and assisting in monitoring and optimising database performance for efficiency
Learning about data modelling techniques and contributing to the development of data pipelines to streamline data processes
Documenting processes, procedures, and best practices, as well as assisting in creating data-related reports to communicate findings effectively.
Training:Qualification:
BSc (Hons) Data Science
Duration - 42 months (including EPA period)
Delivery - Blended learning: combines remote online learning and face to face teaching delivered by block release in Nottingham
Entry requirements:
Grade 5 in GCSE Mathematics or equivalent, Grade 4 in GCSE English Language or equivalent (prior to admission)
with
BBC at A-Level to include Maths
The following A-Levels are not accepted: Citizenship Skills, General Studies, and Critical Thinking.
Candidates are reviewed on a case-by-case basis enabling employees with lower-level apprenticeships (including Level 4 Data Analyst), a strong mathematical background or substantial work experience with relevant qualifications to be considered. Apprentices’ prior learning may affect the start date of their programme.
All apprentices must:
Be working in a job role that provides opportunities to apply and develop the knowledge, skills and behaviours from the programme, outlined in the Level 6 Data Scientist Degree Apprenticeship Standard.
spend at least 50% of their working hours in England over the duration of the apprenticeship. This also applies to remote and hybrid workers.
Have access to the off-the-job training detailed in their individual learning plan.
Must have a valid and eligible residency status and the right to work in England.English and maths eligibility requirement
English and maths eligibility requirement is assessed based on the apprentice's age at the start of their apprenticeship. Please note that English and maths eligibility requirements do not supersede programme entry requirements.
Aged 16-18: Apprentices who do not hold a level 2 qualification in English and Maths must study towards and achieve this during their apprenticeship. Funding is available.
Aged 19+: There is no mandatory requirement to complete Level 2 English and maths. However, apprentices or employers may opt-in for the apprentice to study towards an English and maths qualification if they don't already have an equivalent qualification, with funding available if they choose to do so.
Apprentices who do not provide a suitable Level 2 English certificate, and do not hold an appropriate English language equivalent qualification from this list, will also need to provide an International English Language Testing System (IELTS) result that is dated within the last two years. The minimum requirement for this programme is an overall score of 6.0, with no less than a 5.5 in each of the individual elements. The university’s policy around this can be found here.
Start date - September 2026.Training Outcome:The department leads strategic transformation projects, develops trust-wide digital capability, strengthens communication and engagement, and ensures that technology and data are used purposefully to improve experiences for staff, pupils and families. By combining this expertise with a strong understanding of education, the team helps schools focus on what matters most, delivering outstanding learning opportunities and supporting every child to thrive. Operational Excellence is not simply a support function; it is a catalyst for innovation, continuous improvement and sustainable organisational growth.Employer Description:As one Trust we share a common purpose. We call it our social mobility and social justice mission to change our communities through the very best equitable education. When we get this right, it enables our children and young people to fulfil their potential, thrive in the world of work, and make a positive contribution to the local, national and international community.Put simply, our common purpose is to increase opportunities and improve outcomes for our students. We are particularly committed to students who are under-served and under-resourced. We prioritise those who have special educational needs and disabilities, or who are more likely to face discrimination for whatever reason.It is this common purpose that fuels everything we do. We deliver impactful, sustainable and ethical continuous school improvement in our schools to ensure the children and young people in the communities we serve learn in the very best and most inclusive schools. We are deeply rooted in the communities we serve (which are the education investment areas of the West Midlands). We adopt a pioneering spirit and look to lead the sector with innovative solutions to the problems our students and families face.Working Hours :Monday to Friday 8am to 4pm with some flexibilitySkills: Communication skills,IT skills,Attention to detail,Organisation skills,Customer care skills,Problem solving skills,Presentation skills,Administrative skills,Number skills,Analytical skills,Logical,Team working,Initiative....Read more...
