Algorithm Engineer – Defence/Aerospace

CV-Library
Bristol, Bristol (County)
12 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist / Algorithm Engineer

PhysicsX United Kingdom

Software Engineer - AI Workbench

PhysicsX London, United Kingdom

Frontend Software Engineer - Simulation Workbench

PhysicsX London, United Kingdom

Frontend Software Engineer - Core Services

PhysicsX London, United Kingdom
£50,000 – £80,000 pa On-site

Senior Software Engineer - AI Workbench

PhysicsX London, United Kingdom

Senior Software Engineer - Core Services

PhysicsX London, United Kingdom
Posted
6 May 2025 (12 months ago)

Algorithm Engineer – Defence/Aerospace

Join a specialist team developing advanced algorithms at the core of next-generation Autonomous Systems, Guided Weapons, and ML-enabled defence technologies.
You’ll contribute to high-impact programmes across the full engineering lifecycle — from early-stage research and feasibility studies through to development, trials, and in-service enhancement. Focus areas include navigation, guidance, tracking, sensor/data fusion, and machine learning.
Key requirements:

Proficiency in MATLAB and/or Python for algorithm development and simulation
Degree or PhD in a technical discipline such as Aerospace Engineering, Control Engineering, Mathematics, or Physics
Experience in one or more of:
Autonomous decision-making and control systems
Navigation, estimation, or tracking algorithms (e.g. Kalman filtering, SLAM)
AI/ML, including real-time implementation and model validation
Verification & validation of complex algorithms in mission-critical systemsWhat’s on offer:

Hybrid/flexible working and multiple career pathways (technical or managerial)
Cross-disciplinary collaboration on critical national defence programmes
Exposure to complex systems: RF/IR seekers, inertial sensors, thrust vectoring, and moreCandidates must be eligible for UK SC (Security Check) clearance.
Apply now to work at the forefront of defence innovation.

If you are interested please apply ASAP. The People Network is an employment agency and will respond to all applicants within three - five working days. If you do not hear within these timescales please feel free to get in touch

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.