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Senior Algorithms Engineer
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Senior Algorithms Engineer
Wokingham, UK | £50,000 – £60,000 | Full-time, Hybrid
Our client is an established, leading design and manufacturing business with sites across the UK, delivering cutting-edge products to the defence industry. They're looking for an innovative Algorithms Engineer to join their Image Processing team, developing next-generation intelligent sensing and computer vision capabilities for challenging defence applications — including electro-optic gun fire control systems, ground-based air defence, counter-unmanned aerial systems (C-UAS), multi-domain surveillance, and autonomous platforms.
You'll solve complex real-world perception problems by combining machine learning, computer vision, signal processing, and statistical techniques to help systems detect, classify, track, and understand objects in challenging environments — with the opportunity to take technical ownership of key capability areas and mentor others across the team.
What you'll be doing:
- Researching, developing, and evaluating computer vision algorithms for image classification, object detection, and fine-grained recognition
- Designing datasets, evaluation methodologies, and automated pipelines to accelerate ML development
- Analysing model performance, identifying failure modes, and driving real-world capability improvements
- Supporting integration, testing, and deployment of algorithms into real-time video processing systems
- Mentoring engineers and sharing computer vision/ML expertise across the team
- Communicating technical concepts and recommendations to stakeholders and customers
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What we're looking for:
- Degree (or equivalent experience) in Computer Science, AI, Engineering, Mathematics, or Physics
- Practical experience deploying ML/computer vision algorithms in production or near-production systems
- Experience with modern CV architectures — object detection, image classification, transformers
- Strong Python skills, with C++ experience for production or performance-critical systems
- A methodical, ownership-driven approach to solving ambiguous technical problems
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Nice to have:
- Bayesian inference, uncertainty estimation, or probabilistic modelling experience
- Familiarity with synthetic data, multi-modal neural networks, or action recognition
- Experience with ML tooling (experiment tracking, dataset management, CI/CD) or CMake for cross-platform C++
What's on offer:
- 37.5hr week with Friday lunchtime finishes, hybrid/flexible working
- 28 days annual leave + Christmas closure
- Matched pension up to 5%, income protection, life assurance
- EAP, health/wellbeing initiatives, EV salary sacrifice scheme
- Shares incentive plan, gym discounts, referral bonus, strong L&D support
Please note: Successful candidates must be eligible to obtain UK Security Clearance, including 5 years' UK residency and full right-to-work history.
📩 Apply now or reach out directly to find out more.
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