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

Apply Now

HW / Device Test Engineer

Contechs Consulting
Gaydon
9 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Operations Engineer

Machine Learning Operations Engineer

Position: HW/Device Test EngineerSector: ElectricalLocation: WhitleyPosition Type: ContractInside / Outside IR35: INSIDESalary: £31.27phr *Applicants MUST have proof of immediate, on-going and valid eligibility to work full time in the UK and travel within the EU.*I am currently recruiting on behalf of a Luxury Automotive OEM based in Whitley who are seeking a HW/Device Test Engineer to join their teamJob DescriptionAs HW/Device Test Engineer your main responsibilities are:The candidate will lead a team that will deliver HW and SW testing methodology and solutions across the Power Electronics and Charging test areas.They will be focused on delivering continuous improvement and innovation to the test operations to gain efficiency and quality.This will involve software model design (from complex full vehicle simulation to component ResBus control), integration of the models and automation, design for data quality in measurement and operation of HV test rigs.Skills neededExperience in dSpace based HiL or Power-HiL development and testing.Excellent knowledge of and experience developing and/or testing Electrical Distribution Systems and power electronics components that could be used in a vehicle (DCDC's, Inverters, charging systems, battery systems and battery management technology)Experience using ASPICE and working in an Agile teamExperience RequiredEngineering degree in a relevant discipline.Excellent knowledge of power electronics components that could be used in a vehicle (DCDC's, Inverters, charging systems, battery systems and battery management technology).Knowledge of Electrical distribution systems.Excellent knowledge of worldwide Charging Standards and vehicle charging requirements.Excellent practical knowledge of HiL toolchain both SW and HW, more specifically Dspace, Vector and INCA.Experience in HiL development and testing ¿ Simulink/CAPL/Other programming languages welcome and proficient in developing Matlab/Simulink and CAPL models/scripts.Ability to accurately and concisely present complex technical ideas or projects to a diverse audience using a variety of communication media.Experience in hardware or software testing, development & debug.Extensive knowledge of vehicle networks and architectures (CAN/CAN-FD/FlexRay/LIN/Ethernet) at a protocol manipulation level.Experience in leading a team of engineers in a complex engineering environment, capable of exhibiting leadership skills, high organisation, ability to inspire and lead by example.Good understanding of ISO standards (ISO9001, IATF16949, ISO14001) Why work through Contechs?Contechs is a leading Automotive, Design, Engineering, Technology and Innovation Recruitment Consultancy. Founded in 1997, with an inhouse Contractor Care Team to support all external employees, acts as an employment agency for permanent and contract recruitment.How to ApplyIf you're interested in applying for this position, submit your application If you know anyone that is suitable for the role, please visit the below page where we offer up to £600 referral fee

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 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.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 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.