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

Apply Now

Algorithms Team Lead

Filton
1 year ago
Applications closed

Related Jobs

View all jobs

Junior Data Scientist

Data Science Principal

Assistant Manager- Algorithm & Artificial Intelligence (AI) Assurance - Audit & Assurance

Manager- Algorithm & Artificial Intelligence (AI) Assurance - Audit & Assurance

Senior Data Scientist

Data Science Principal

Hours: 37 hours per week
Do you want to join a business, who value inclusivity, a three-time gold investor in people award winner, an advocate of supporting women in engineering and developing their people to be the best they can be?
We have an exciting opportunity for an experienced Algorithms Team Lead to join an ambitious, highly regarded, scientific engineering / manufacturing business that are in a position of sustained growth.
The Algorithms Team Lead will be an experienced technologist with leadership experience who wishes to lead a forward-thinking team using product knowledge and mathematical analysis to develop the algorithms that underpin the advanced capabilities of a highly technical product range.
To keep ahead of their rivals, the business is always looking to develop state of the art algorithm technology. This includes an increasing adoption of methods that employ machine-learning and artificial intelligence
Benefits of working here:

  • State of the art technology & innovation
  • External learning and development encouraged
  • Light and airy university type campus
  • Friendly environment!
    • Restaurant, On site Medical Centre, Parking / Easy Access to train station, Coffee Shops & Onsite Shop, Sports & Social Club and More
      The successful candidate will:
  • Lead a team of algorithm developers typically using MATLAB/SIMULINK.
  • Collaborate with the systems teams to understand how the algorithms will be used, and with the software team to appreciate how they will be implemented.
  • Be responsible for defining the toolchain and process for ensuring integrity through to the final product.
  • Have the ability to influence:
    • How we develop algorithms within the team and more widely within MBDA.
    • How the team grows and adapts to meet evolving technological needs.
      Skills Required:
  • Experience of leading teams of highly qualified and technical individuals.
  • A commitment to quality and the procedures we follow to ensure it.
  • A desire to make an impression within the MBDA engineering community.
    Any experience in any of the following areas would be highly beneficial:
  • Software development, Mathematical analysis, Numerical simulation and / or Machine learning
    You will need to obtain UK Security Clearance for this role. This will require you to either be a UK Citizen or a UK Dual Citizen. Some restrictions may apply.
    Cirrus Selection offers the services of an Employment Agency for permanent recruitment and the services of an Employment Business for contract recruitment

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 to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.