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

Apply Now

BMW Hams Hall, Birmingham - Industrial Engineer - 13 Month Placement (July 2025)

BMW Group
Coleshill
1 year ago
Applications closed

Related Jobs

View all jobs

Metrology Data Scientist - Placement Year

Data Science - Placement Year

Logistics & Data Science - Placement Year

Metrology Data Scientist - Placement Year

IT-Services and Digitalisation (Computer and Data Science) - 2 Year Graduate Programme

Metrology Data Scientist - Placement Year

BMW Group Plant Hams Hall is a modern, state-of-the-art engine manufacturing facility, located just outside Birmingham, UK. Producing the latest generation of three and four cylinder petrol engines, and precision machining key engine components, the plant has recently celebrated 20 years of successful production. Operating seven days a week, with more than one engine rolling off the line per minute, the plant plays a key role in BMW Group’s global production network, supplying engines for BMW and MINI, including some of the latest plug-in hybrid vehicles.

BMW Hams Hall, Birmingham – Industrial Engineer- 13 Month Placement(July 2025)

Join our Industrial Engineering team at BMW Plant Hams Hall for a 13 month internship programme. This role offers a unique blend of training, mentorship and responsibility working with industry leaders on state of the art products powering our BMW vehicles.

What awaits you?

Gain an understanding and experience of the process of completing Methods Time Measurement (MTM) studies to analyse the required time to complete production processes Support the existing team with the data capture for MTM studies Support the existing team with the completion of MTM studies Support the company with suggested process improvements to increase efficiency, output and/or cost reduction Support the existing team with business data analytics using necessary tools such as Excel, PowerBI, etc. Work with external companies on the development of innovating the completion of MTM studies in the future for BMW Group Support the existing team with the migration of MTM data from the current to new systems

Qualifications and Experience

Studying towards the successful completion of a relevant Engineering, Mathematics or Data Science degree on track to achieve a 2:1 or above Excellent verbal & written communication skills Experience in Microsoft Office suite including Powerpoint, Excel, PowerBI

Why choose us?

·Great Pay – A competitive annual salary of £24.950,26 days holiday per annum (pro rata to your contract)and an attractive pension scheme.

·Rewarding Work-Life Balance – Contracted working hours are 39 hours a week, with a half day on a Friday, helping you develop a fulfilling work-life balance.

·Exciting Additional Benefits – You will have the opportunity to enjoy other employee benefits, including an on-site gym, a subsidised on-site restaurant and access to our Advantages scheme which gives you a range of offers and discounts.

 What do you need to do now?

If you apply, the next stages of the recruiting process could include: online testing, video interview and then a face to face, telephone or virtual interview with the hiring manager. This may be in the form of an assessment centre.

Please note:

We operate rolling recruitment, this means we may close the application window earlier than identified, if sufficient applications are received, so please apply early to avoid disappointment.

Once you make your application you will be automatically sent cognitive tests (via Eligo) for completion before we have had the opportunity to determine your eligibility for the role. Please be aware that if you complete the tests and you are not eligible your application will not be processed any further. If you need support in undertaking the tests please email us at .

To be eligible for this position, you must be returning to your studies, for a minimum of 6 months, after completion of this placement. You must be able to provide proof of your legal right to work in the UK.

We are committed to promoting equal opportunities in employment and job applicants will receive equal treatment regardless of disability, age, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, gender, sex or sexual orientation.

Closing date for applications: Saturday 30th November 2024

Any further questions? Email us on 

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

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.