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

Apply Now

AD and NCAP Performance and Test (969)

Morson Talent
Wharley End
10 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst (L&D / People)

Data Scientist

Claims Data Scientist

Administrator & Data Analyst

Graduate Data Analyst

Senior Data Analyst - Chelmsford

AD and NCAP Performance and Test (969) Cranfield £27.94 per hour We are recruiting for an AD and NCAP Performance and Test for one of our automotive clients based in Cranfield. You will be working for a globally recognised automotive company. This is a long-term contract role. The contract is on an ongoing basis a may run for several years. Key Responsibilities of the ADAS Project Engineer: Support advanced engineering of AD and NCAP: • Support AD development • Gather data to define AD development scope • Retrofit and reprogram vehicle electronics for development test • Collect data and make initial analysis report • Facilitate alignment of specification fix between various departments within the company • Support NCAP activities • Participate in NCAP meetings for sharing of latest information • Actively make contribution to NCAP working group • Feed NCAP latest information to ADAS teams and align on latest internal strategy • Manage test activities (location, schedule, prototype vehicles, personnel and equipment) • Travel to test site in order to oversee/support testing activities. • Data collection report, data analysis report, fixed specification documentation • NCAP latest information report, NCAP development plan, NCAP test result, test result analysis. Qualifications & Experience for the ADAS Project Engineer: Be degree qualified (or equivalent) in a relevant discipline. • Have understanding of vehicle AD/ADAS systems and its development. • Have fluent written and verbal English language capability. • Have experience of software application into vehicle ECUs in the manufacturing environment – flashing, coding/configuration and calibration. • Be able to risk assess software modifications and develop appropriate test plans • Understand network communications and multiple bus principles (CAN, LIN, Ethernet). • Be able to operate CANalyzer, CAPL, CANoe, CANape, Matlab software or similar for capturing data, analysis of data and preparing/executing test procedures. • Be able to follow system circuit diagrams and identify electrical connections. • Be able to demonstrate and have practical experience in problem solving tools and techniques. • Hold a valid UK driver’s license and be able to pass driver training in order to drive vehicles for ADAS evaluation. • Have relevant experience in automotive electronic system development, completing a minimum of two vehicle developments, or be able to demonstrate equivalent experience. • Have good written and verbal communication. • Be able to travel abroad or within the UK, occasionally a few days, but on rare occasions travel may be long distance and for up to 10 weeks at short notice. • Competent with PC applications. Including Microsoft excel, powerpoint and project. • Self-motivating and self-managing. Pro-active. Energetic personality and flexible regarding working practice and working hours. • Ability to priorities and multitask between multiple projects simultaneously. LMIND

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 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.

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.

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.