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

Apply Now

Project Manager

Norwich
7 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist Project Lead

Data Scientist Project Lead

Clinical Data Science Unit Technical Project Manager

Clinical Data Science PM for Health AI & Analytics

Sr. Manager, Data Science & AI

Sr. Manager, Data Science & AI

Project Manager - £60k – Norwich

Hexwired Recruitment has partnered with a Well established Electronics manufacturer with offices in Norwich. They are now looking for a Project Manager to help lead a new project the company is delivering for a key customer.

The company are working with customers globally to develop novel solutions to a range of applications, utilising the latest technology available! As a Project Manager, you will be working closely with business stake holders, the end customers and the engineering team. To deliver a fair assessment on deliverables, and have a real impact on the influence of the product from Design to Manufacture.

This is a Project Manager role leading a multi million pound project. Due to the nature of the work, this role will be mostly onsite.

Key Skills

  • Degree in Electronics, Embedded Systems or similar is highly desirable

  • Good commercial Project Management experience

  • Excellent written and verbal communication skills

  • Previous experience liaising with engineering teams.

  • Excellent project delivery and scheduling experience

  • Ability to gain SC/DV clearance

    The company are offering circa £60k dependent on experience along with an excellent benefits package. Due to the nature of the work, the company will need you mostly onsite. If you’re interested in this Project Manager role, please apply.

    For more information on this role or any other jobs across; FPGA, Mixed-signal, Electronics, Hardware, Embedded, C++ programming, Mechanical design, Analogue Eelctronics, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today

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.