Mission Systems Engineer

BAE Systems
Lincoln
1 week ago
Applications closed

Related Jobs

View all jobs

Mission Systems Engineer

Part Time Systems Engineers (All Levels)

Senior Thermal Engineer

Head of AI Engineering

Senior Software Engineer, Data

Senior Product Manager - Retention

Job Title:Mission Systems Engineer

Location:Warton / Brough

We offer a range of hybrid and flexible working arrangements – please speak to your recruiter about the options for this particular role.

Salary:£47,683+ (Commensurate with skills and experience)

What you’ll be doing:

You will be part of the Mission Systems Delivery Team (MSDT) delivering the Assessment Phase of the Future Combat Air System (FCAS) programme. The team uses an agile work planning process to develop mission system concept options, architectures, and designs for the various components of a future combat air system. The role will also require you:

  • Deliver advanced mission systems engineering capabilities to our customers while developing and evolving the technologies
  • Lead and support team meetings / DSUMs / Agile reviews
  • Manage / help / direct less experienced Systems Engineers, e.g. an apprentice
  • Manage the creation of Engineering documents that form part of the Systems Engineering process

Your skills and experiences:

Essential:

  • A degree in a STEM subject or equivalent relevant experience
  • Systems engineering and engineering lifecycle experience
  • Knowledge of systems engineering methods and tools (e.g. UML/SysML, MoDAF, MOOD, Matlab)
  • Experience of developing mission systems and associated domain knowledge

Desirable

  • Some experience of working in an agile environment
  • Experience of managing engineers
  • Presentation skills

Benefits:

You’ll receive benefits including a competitive pension scheme, enhanced annual leave allowance and a Company contributed Share Incentive Plan. You’ll also have access to additional benefits such as flexible working, an employee assistance programme, Cycle2work and employee discounts – you may also be eligible for an annual incentive.

The Mission Systems Delivery Team (MSDT):

The MSDT have a number of exciting and rewarding opportunities across their Future Combat Air Systems programme.

Thisspecialised team delivers advanced mission systems engineering capabilities to our customers while developing and evolving the technologies that will defend the UK for generations. Subject matter experts, systems architects and systems engineers are required in the following areas: Survivability, Cockpit/HMI, Stores Management, Communications, Navigation, Sensors and Non-Kinetic Effects, Electronic Warfare, EM Interop, Safety, Health Management, Mission Management, On-board Computing and Cyber Security.

These roles are UK-based and mostly in the North of England but some of your time may be based from home with regular working from our home bases of Warton/Brough and potentially at other BAE Systems locations throughout the UK. You may also be asked to support the Customers or our Industry Partners at one of their sites across the UK and there are opportunities for national and international travel.

Why BAE Systems?

This is a place where you’ll be able to make a real difference. You’ll be part of an inclusive culture that values diversity, rewards integrity, and merit, and where you’ll be empowered to fulfil your potential. We welcome candidates from all backgrounds and particularly from sections of the community who are currently underrepresented within our industry, including women, ethnic minorities, people with disabilities and LGBTQ+ individuals. We also want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments.

Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks

Closing Date:12th May 2025

We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.

Machine Learning vs. Deep Learning vs. MLOps Jobs: Which Path Should You Choose?

Machine Learning (ML) continues to transform how businesses operate, from personalised product recommendations to automated fraud detection. As ML adoption accelerates in nearly every industry—finance, healthcare, retail, automotive, and beyond—the demand for professionals with specialised ML skills is surging. Yet as you browse Machine Learning jobs on www.machinelearningjobs.co.uk, you may encounter multiple sub-disciplines, such as Deep Learning and MLOps. Each of these fields offers unique challenges, requires a distinct skill set, and can lead to a rewarding career path. So how do Machine Learning, Deep Learning, and MLOps differ? And which area best aligns with your talents and aspirations? This comprehensive guide will define each field, highlight overlaps and differences, discuss salary ranges and typical responsibilities, and explore real-world examples. By the end, you’ll have a clearer vision of which career track suits you—whether you prefer building foundational ML models, pushing the boundaries of neural network performance, or orchestrating robust ML pipelines at scale.

Machine Learning Programming Languages for Job Seekers: Which Should You Learn First to Launch Your ML Career?

Machine learning has swiftly become a cornerstone of modern technology, transforming entire industries—healthcare, finance, e-commerce, and beyond. As a result, demand for machine learning engineers, data scientists, and ML researchers continues to surge, creating a rich landscape of opportunity for job seekers. But if you’re new to the field—or even an experienced developer aiming to transition—the question arises: Which programming language should you learn first for a successful machine learning career? From Python and R to Scala, Java, C++, and Julia, the array of choices can feel overwhelming. Each language boasts its own community, tooling ecosystem, and industry use cases. This detailed guide, crafted for www.machinelearningjobs.co.uk, will help you align your learning path with in-demand machine learning roles. We’ll delve into the pros, cons, and ideal use cases for each language, offer a simple starter project to solidify your skills, and provide tips for leveraging the ML community and job market. By the end, you’ll have the insights you need to confidently pick a language that catapults your machine learning career to new heights.