RF Systems Lead Engineer

MBDA
Bristol
1 year ago
Applications closed

At MBDA, we are continuing to grow our Data Link Systems organisation, providing a world leading missile data link capability. A fantastic opportunity has arisen for an RF Systems Lead Engineer. You will be responsible for leading data link systems engineering work on a new weapons system programme, interfacing with both suppliers and customers, and providing technical leadership for junior RF systems engineers.

Salary: Circa £50,000 depending on experience

Dynamic (hybrid) working: typically 3 days per week on-site due to workload classification

Security Clearance: British Citizen or a Dual UK national with British citizenship.

Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team.

What we can offer you:

  • Company bonus: Up to £2,500 (based on company performance and will vary year to year)
  • Pension: maximum total (employer and employee) contribution of up to 14%
  • Overtime: opportunity for paid overtime
  • Flexi Leave: Up to 15 additional days
  • Flexible working: We welcome applicants who are looking for flexible working arrangements
  • Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave - enhancements are available for paternity leave, neonatal leave and fertility testing and treatments
  • Facilities: Fantastic site facilities including subsidised meals, free car parking and much more…

The opportunity:

As RF system lead engineer, you will be the main Data Links technical point of contact for a weapon system project. You will be responsible for coordinating the systems engineering aspects of the project, including supporting bids, defining the system architecture, and managing development activities such as requirements management, system modelling management, and system proving plans (V&V). You will lead a small team of RF systems engineers.

What we're looking for from you:

You will have an understanding of RF technologies and system level design considerations for RF communication systems. Ideally, you will be degree qualified in a STEM subject. You will have a strong background in systems engineering across the full product life cycle together with experience of managing suppliers. Customer facing skills are also highly desirable.

We’re looking for you to have an ability to work autonomously within a multi-skilled team with a good understanding and commitment to achieving project goals. You should also be able to perform technical investigations, provide problem assessments, and propose design solutions within a culture of innovative thinking.

We are looking forsomeof the following skills:

  • Managing internal suppliers and external suppliers
  • Work package management
  • Technical leadership of junior engineers
  • Systems design methodologies
  • Requirements definition and management
  • Leading design reviews across the product lifecycle
  • Overseeing the transition of development hardware into production
  • Leading technical investigations
  • Experience with proving and validation
  • Configuration management
  • Awareness of simulation tools: Architecture (SysML) / performance modelling (MATLAB)
  • Experience working within an international team
  • Understanding of RF communication principles and design

Our company:Peace is not a given, Freedom is not a given, Sovereignty is not a given.

MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom.

We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity and more…

We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process.

Follow us on LinkedIn (MBDA), X (@MBDA_UK), Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.

#J-18808-Ljbffr

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.