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

Apply Now

Engineering Manager - Marine Systems

T2M Resourcing
Milton Keynes
10 months ago
Applications closed

Related Jobs

View all jobs

Engineering Manager - Machine Learning (Competitive + Equity) at Fast-scaling AI logistics platform

Engineering Manager - Machine Learning (Competitive + Equity) at Fast-growing AI logistics platform

Data Engineering Manager

Data Engineering Manager...

Data Engineering Manager...

Data Science and AI Engineering Manager

Principal Systems Engineer Competitive Salary Milton Keynes - Hybrid T2M Resourcing are working with a growing technology and manufacturing business to recruit a Principal Systems Engineer to lead systems requirements, design and architecture, testing, and overall V-Cycle activities. As a Principal Systems Engineer you will specialise in managing systems activities and working with multi-discipline teams in software and hardware development. Duties of the Principal Systems Engineer: Leading systems activities across the V-Cycle alongside multi-discipline teams. Develop and manage requirements from product conception to delivery. Deliver functional safety activities to ISO26262 standards. Delivering test cases and plans alongside Software Test Engineers. System architecture design utilising SysML. Mentor and lead engineers during technical projects. Complete and oversee systems tasks such as FMEA and HAZOP and HARA. Support software team with development of models using Simulink/Matlab. Requirements to be successful as a Principal Systems Engineer: Degree level qualification in Systems Engineer, Electronics Engineering, Mechanical Engineering or similar field. Able to lead by example. Knowledge of Functional Safety and ISO26262 standards. Testing experience such as Software-in-loop and Hardware-in-loop. Specialist understanding of model-based systems engineering (MBSE). Clear communicator. Experience of automotive/aerospace systems engineering processes. Working knowledge of hardware, systems, and software development tools, such as: SysML MATLAB/Simulink Embedded Coders DOORS ~ Strong problem-solving skills. This role is based in Milton Keynes and can be completed as a hybrid role with up to 2 days a week from home. Due to high to the high volume of applications we are receiving we are unable to respond to each candidate personally. If you have not heard from us within 14 days, unfortunately your application will not have been successful.

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.