Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

CAE Developer - Virtual Build

Coventry
4 months 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.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.