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

Apply Now

Control Systems Engineer

Hernshead Recruitment Ltd
Silverstone
11 months ago
Applications closed

Related Jobs

View all jobs

NSL - Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Senior Data Engineer

Senior Data Engineer

Machine Learning Research Engineer - Speech / Audio / Gen-AI - 6 Month Fixed Term Contract

About this position:We are currently seeking a Control Systems Engineer to join our clients dynamic team. As a Control Systems Engineer, you will develop real-time control software for battery powered electric vehicles. You will assist in software creation and modification for the control of a variety of LV and HV devices, including the optimisation through software of high voltage powertrains.Job Responsibilities: * Work with Head of Whole Vehicle and Head of T+D software according to latest legislative, functional safety, cost and performance standards * Re-engineer and re-architect proof-of-concept strategies so that they are suitable for use in production vehicles * Provide support for in vehicle testing, powertrain testing and calibration * Verify and validate control software using MIL and HIL testing * Provide clear and concise documentation * Contribute improvements to the software which will improve vehicle reliability, efficiency, and driving refinementExperience Required: * Possess working knowledge of auto-coding with the MathWorks toolchain: Simulink, Stateflow and Embedded coder * Possess working knowledge of C or C++ programming languages (especially for embedded applications) * Possess working knowledge of MATLAB, Simulink, and Stateflow * Possess working knowledge in the configuration and use of HIL systems (e.g., dSpace) * Possess working knowledge of automotive serial communications protocols (e.g., CAN, Flexray) * Possess working knowledge of automotive calibration software (e.g., Etas INCA, Vector CANape) * Demonstrable expertise in LV system design in automotive applications * Demonstrable ability to perform root cause analysis efficiently * Strong understanding of LV component design & construction (wires, connectors, insulation, shielding, etc) * Experience with automotive standards and communication protocolsQualifications/Requirements: * Experience of developing prototype software on rapid-prototyping controllers. Pi OpenECU and GEMS preferred * Working knowledge of electric motors and inverters * Working knowledge of Li-ion battery cells and battery management systems * Experience of developing software for safety critical automotive applications (e.g., ISO 26262) * Experience of scripting in MATLAB or Python

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.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.