National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Motorsport Engineering Intern

MoTeC
Adderbury
9 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Senior Vehicle Performance Engineer

Senior Data Analyst - 12 Month Fix-term

Company Description


MoTeC Europe Ltd is a subsidiary of MoTeC Pty Ltd which is now a part of the Bosch Group. We operate across Europe in the service areas of motorsports, EV and hybrid, off-highway, marine and e-mobility.


Our dynamic team develops customised electronic solutions for racing cars, motorcycles and commercial vehicles, as well as for industrial vehicles and watercraft, based on innovative, high-tech products from MoTeC.


We welcome applications from a range of candidates but please note that we require the successful candidate to have the right to work in the UK and Schengen Area countries from day one.


Job Description


As an Intern Motorsport Engineer within the team, you will be responsible for:


  • Provide technical support for testing, calibration, and commissioning of developed ICE/EV/HEV control systems and associated documentation
  • Backing the engineers with troubleshooting, system start up, test and racetrack support
  • Supporting the commercial processes and the acquisition of new projects
  • Aiding with market research efforts to identify new potential markets and customers
  • Configuration and calibration of the core MoTeC product range (ECU/VCU, display, power distribution, logging system etc) to be used in ICE/EV/HEV applications
  • Working on R&D topics for EV Programmes.
  • Carrying out maintenance and repair activities on MoTeC devices.

Qualifications


Essential Skills:


  • Electrical/Electronics, mechatronics, or computer science engineering degree or engineering degree with relevant experience (Predicted 2:1 or higher)
  • Knowledge of engine hardware, combustion theory and thermodynamics for highperformance engines
  • Knowledge of either of the following:
    • EV driveline components including HV batteries, BMS, motor controllers and EV drivetrain.
    • Direct Injection and Spark topics.

  • Programming knowledge to develop ICE/EV/HEV control systems (Matlab/Simulink/C experience)
  • Knowledge of network communication (CAN, LIN, Ethernet, Etc)
  • Good presentation, communication, and negotiation skills
  • Assertiveness, ready to work under pressure and good organization
  • Fluent in English
  • Must be eligible to work in the U.K.
  • Readiness to travel in UK and worldwide, readiness to work on weekends

Desired Skills:


  • Active passion for motorsport
  • Experience FSAE EV team highly regarded
  • Strong focus on Electric Vehicle and Hybrid systems for the suitable candidate
  • Strategic thinking and business development skills
  • Experience in motorsport development, engine hardware development or highperformance engine calibration

Additional Information


This is a 12-month internship beginning in July 2025. This position is open to undergraduates or Masters students who are required to partake in a work placement as part of their course.


Shortlisted candidates will then be invited to participate in a face-to-face interview by the hiring team.


You must have the right to live and work in the UK when you start your placement and for the full duration of your placement. Please note your placement must be directly relevant to your course to comply with visa requirements.


Before attending an interview for this position you must inform your Faculty/School Placement Officer and we strongly suggest you check you are eligible for a placement before you apply. If your Faculty/School does not have a Placement Officer, you must inform your course tutor.


Your future job offers you:


On offer is a competitive salary and pension contributions. We will also provide many opportunities for personal and professional development.


Location:


Adderbury, England, United Kingdom

National AI Awards 2025

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.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.