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

Apply Now

Systems Engineer (MBSE)

MASS Consultants
Farnborough
11 months ago
Applications closed

Related Jobs

View all jobs

Big Data Engineer - High level Clearance (IT) / Freelance

Data Analyst

Senior MLOps Engineer

Senior MLOps Engineer

Big Data Engineer - R10188677

Machine Learning Engineer

Systems Engineer (MBSE) Farnborough (GU14) - PermSalary up to £62,000 DOE25 days annual leave inclusive of up to 3 days Christmas shut-downBuy or sell up to 5 days annual leaveAnnual Wellbeing allowanceTwo pension schemes to choose fromPrivate Medical Insurance + discounts for additional family membersLife Assurance scheme up to 4 x salaryShare Save schemeElectric/Hybrid Car leasing schemeCycle to work schemeRetail discountsCareer development supportOur Electronic Warfare Operations Support Group (EWOS) is made up of around 60+ electronic warfare specialists. From all manner of backgrounds, our engineers, scientists, and ex-military personnel combine their experience to help our customers achieve the true operational potential and help keep their people and platforms safe.We are building a new team led by our Principal Solution Architect at a state-of-the-art test andevaluationfacility at a client site in Farnborough. You willhelp design, implement, and support new capability within the facility, taking part in both domesticmanage development, and take part in both domestic and international trials while working with both present and future technology.Working autonomously at Farnborough with unprecedented access to the customer. Recognising and relaying customer requests, demands, and comments to our Lincoln location andas the project progresses, given on-site presence,you will be crucial to ensure that deployment, verification, and validation are successful. You will develop into the Subject Matter Expert (SME) for the project facility acting as the main point of contact for stakeholder queries.The invaluable experience youll bringJoining a large project at the initial stages, you will be expected to gather stakeholder use cases and create requirements specifications,(URD & SRDs).This will mean providing ongoing support and continuous assistance during deployment to help with these design tasks, using your knowledge of Model Based Systems Engineering (UML/SysML/Archimate) expertise.Due to the highly secure nature of the projects that you will be involved with, youmustbe:AUK National, eligible to work and live in the UK and to undergo and maintain appropriate UK governmentDV Security Clearance.Essential experienceSystems EngineeringTest and acceptance of integrated systemsExperience across the Engineering Delivery LifecycleRequirements Management (DOORS/Enterprise Architect etc.)System Design DocumentationDesirable experienceSystems Modelling (UML/SysML)Defence Industry knowledge of EW systemsCoding experience (JavaScript or MATLAB/Simulink)Previous ex-Military experience with EW systems (operator, maintenance, support, or acquisition).Wellbeing is at the core to our culture, allowing you to flourish and to achieve your full potential. You are important to us, and we take pride in our wellbeing programmes and policies that support you as individuals including, mental health first aiders and readily available support through our extensive employee assistance programme.Apply todayto see how working for MASS could work for you!TPBN1_UKTJ

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 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.

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.