National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Mission System Radar Lead Engineer

BAE Systems
Lytham Saint Annes
2 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Computational Biology & Machine Learning Scientist

Computational Biology & Machine Learning Scientist

Computational Biology & Machine Learning Scientist

Computational Biology & Machine Learning Scientist

Computational Biology & Machine Learning Scientist

Job Title:Radar Lead Engineer

Location:Warton

Salary:£54,793 – £60,326 depending on experience

What you’ll be doing:

  • Maintaining relationships with and managing Radar activities undertaken by our suppliers and partners
  • Developing the next generation of radar systems across the engineering lifecycle, from requirements, technology maturation through to design, development and implementation
  • Providing technical expertise, supporting and / or leading in radar development activities, as part of a multi-functional engineering team
  • Leading and supporting a team of engineers and engaging with international counterparts to develop the next generation of radar system
  • Managing the creation of Engineering documents that form part of the Systems Engineering process and inputs to engineering lifecycle reviews
  • You’ll also have people manager responsibilities in this role

Your skills and experiences:

Essential:

  • Experience of working with Radio Frequency (RF) systems, with a strong preference for working with Radar Systems
  • 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)

Desirable:

  • Experience of working in an agile environment
  • Experience of working in early phases of the engineering lifecycle

Benefits:

As well as a competitive pension scheme, BAE Systems also offers employee share plans, an extensive range of flexible discounted health, wellbeing and lifestyle benefits, including a green car scheme, private health plans and shopping discounts – you may also be eligible for an annual incentive.

Mission Systems Delivery Team:

This is an exciting role working in a fast-paced team on an advanced and highly capable sensing system which is at the heart of the next generation combat air systems. In this role, there is opportunity to work as a tri-national team and develop international relationships and experience international cultures.

The role presents opportunities to develop sensing technologies, working with key partners & suppliers and customers and exposure to a wider range of internal and external stakeholders.

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:28th March 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.

#LI-JS1

#LI-Onsite

National AI Awards 2025

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.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.