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

Apply Now

Research and Development Test Engineer

EVera Recruitment
Milton Keynes
10 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Research Engineer (Foundational Research)

Machine Learning Engineer (Databricks)

2026 Graduate Machine Learning Engineer - Applied AI

2026 Graduate Machine Learning Engineer - Applied AI

Machine Learning Engineer

Senior Data Scientist

A leading company specialising in scientific instruments, with a strong focus on applications in energy storage and battery technology is currently looking to hire aR&D Testing Engineer.The successful candidate will develop and execute rigorous testing procedures to ensure the performance, reliability, and quality of complex systems and components.


TheR&D Testing Engineerwill:

  • Conduct performance, reliability, stress, and failure analysis tests on mechanical, electronic, and software systems.
  • Analyse and interpret test data, providing actionable feedback to the engineering team.
  • Develop and implement comprehensive test plans, protocols, and procedures for new and existing product designs.
  • Maintain and calibrate testing equipment to ensure accuracy and reliability.
  • Design and build custom test setups and fixtures as needed.


TheR&D Testing Engineerwill have:

  • Bachelor’s degree in STEM field or a related technical field.
  • 3+ years of experience in testing within an R&D or product development environment.
  • Proficiency in test instrumentation, data acquisition systems, and related tools.
  • Hands-on experience with automated testing systems and scripting languages (e.g., Python, LabVIEW, MATLAB).
  • Strong communication skills for documenting and presenting test results.
  • Familiarity with rapid prototyping and iterative design processes.


If this sounds like a great opportunity for you, simply apply online using an updated version of your CV and we will be in touch!

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.