EV Powertrain: Applied AI Engineer

About this role

Applied AI Engineer – EV Powertrain Location: Lausanne, Switzerland or Cambridge, UKAbout the role Neural Concept's Vertical Solutions team builds data-driven workflows for specific engineering applications that sit on top of the Neural Concept platform. Working alongside the Solution Owner — who defines product direction and customer value — you bring the deep engineering domain expertise and hands-on technical build capability needed to turn that direction into a working solution. You combine real-world EV Powertrain design experience with fluency in modern AI tooling, including foundation models and LLM-based build assistants, to prototype and ship production-grade workflows quickly.What you will doBuild data-driven engineering workflows for EV Powertrain applications (electric motor, gearbox, battery, EDU) on the Neural Concept platform, translating the Solution Owner's product direction into working solutions.Work with lead customers to understand and solve their challengesApply deep domain knowledge to ensure workflows reflect real engineering practice, constraints, and edge cases that a non-domain builder would miss.Hands-on prototyping using AI/ML tooling — foundation models, LLM-based coding assistants (e.g. Claude), and Python/CAE scripting — to build and iterate rapidly.Work day-to-day with CAD/CAE/ML engineers to take prototypes from first pass to production-ready quality.Validate outputs against real-world engineering standards, using your domain judgment as the quality bar.Feed technical and domain insight back into the broader roadmap based on what you learn while building.Who you are5+ years of hands-on engineering experience at an OEM or Tier 1 supplier, designing electric motors, gearboxes, batteries, or other EDU sub-systems — system-level experience preferred.Fluent in Powertrain simulation tools (Motor-CAD, Maxwell, JMAG, Romax) and/or system-level tools (MATLAB/Simulink, Amesim, or in-house tools).Proficient, hands-on user of modern AI tooling — comfortable building real engineering solutions with foundation models and LLM-based tools such as Claude or Codex, not just casually experimenting with them.Direct involvement in an AI transformation initiative at your current or previous company — evidence you've driven AI adoption in engineering practice, not just observed it.Strong Python (or equivalent) scripting ability to build and connect workflow components yourself.Builder mindset: you'd rather prototype something quickly and iterate than stay at the strategy level.What you getWork with a world-class technology team — our engineers are top-notch, and we always aim for excellence.Benefit from a competitive salary and rewarding opportunities as we continue to scale.Thrive in a collaborative, multicultural environment where your work is visible and recognized.Develop professionally alongside talented colleagues who share knowledge freely and support one another.Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable.Hybrid model and flexible hours — we care about results, not rigid schedules.We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.

What this role is, and what else it is called

Employers in Cambridge advertise this kind of work as Data Scientist/Computational Biologist, Data Analyst - Institutional Research and Analytics (IAR), Computer Vision Engineer and Senior Machine Learning Ops Engineer too, so it is worth searching more than one wording. It is a mid-level Data, AI & Machine Learning role in Cambridge, advertised as hybrid, splitting time between home and the office.

How this role compares to the market

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Technologies mentioned

Detected on Neuralconcept's careers page. ProdReady Recruitment lists this vacancy as an aggregator and is not the employer; applications go to the employer's own site. More IT jobs in East of England.