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...
Type: Permanent Location: San Sebastián, Spain
Salary / Rate: Tailored package + share options
Posted: 2026-09-04 11:01:38
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...
Type: Permanent Location: Cambridge, England
Salary / Rate: Pension, bonus, medical etc.
Posted: 2026-09-04 09:02:57
