CAE Developer - Virtual Build

Coventry

1 month ago

Applications closed

Our premium brand Automotive client is currently recruiting for the following role:

CAE Developer - Virtual Build - £34/hr (Inside IR35) - Coventry - 12 Months (potential for yearly renewal)

Our client has recently restructured the Propulsion CAE team in particular the Virtual Build Factory team. The area is currently inventing and developing its processes to improve speed & quality. The successful candidate will be required to detect opportunities and develop the code to automate its process to unleash the efficiency required from the team. The role is multidisciplinary as it involves working on-cycle and off-cycle programmes primarily developing the code but working closely with Development engineers, analysts and model builders.

The individual will be responsible for the following:

The collection and compilation of the Non Geometric Data by working with a multitude of internal customers
The collection and compilation of the Geometric Data operating the in-house CAD Software to help the team build the virtual models.
Understand the Virtual Factory floors in order to find opportunities to automate the current processes as well as build the required KPIs
Determine the automation and optimisation requirements, develop code, metrics and targets.
Code/program to convert the manual effort into automation
Develop programming code to automate all manual processes to reduce time and improve quality.
Support methods reviews as appropriate contributing ideas.
Develop and deliver new process training material.
Undertake any other work as directed by their line manager in connection with their job as may be requested.
Creation of user guides and manuals to the train CAE team members.

Skills:
Proficiency in programming language Python, VB, Java, Simulink, Matlab etc.
Good understanding of CAD software 3DX CATIA
MS Excel
Ability to adapt / understand new technology areas
Communication skills
Understanding of propulsion systems - Preferred
Understanding of materials and material properties - Preferred
Awareness of EDU, HV charging system, Electrical, Mechanical - Preferred
Machine learning AI etc. - Preferred

Education:
Programming, Electrical, Mechanical, AI, Software.

Additional Information:
This role is on a contract basis and is Inside IR35.
The services advertised by Premea Limited for this vacancy are those of an Employment Business.
Premea is a specialist IT & Engineering recruitment consultancy representing clients in the UK and internationally within the Automotive, Motorsport and Aerospace sectors

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jul 2, 2025

Careers

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Jun 29, 2025

Jobs

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Jun 24, 2025

Careers Jobs

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.