At a Glance
- Tasks: Develop cutting-edge algorithms for defence applications using machine learning and computer vision.
- Company: Leading design and manufacturing business in the defence industry.
- Benefits: Hybrid working, competitive salary, generous leave, and strong professional development support.
- Other info: Dynamic team environment with opportunities for career growth and technical ownership.
- Why this job: Make a real impact on innovative defence technologies while mentoring others.
- Qualifications: Degree in relevant field and experience with ML or computer vision algorithms.
The predicted salary is between 63000 - 77000 £ per year.
Our client is an established, leading design and manufacturing business with several sites across the UK, delivering cutting‑edge products to the defence industry. They are seeking an innovative Senior 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.
The Role
You'll solve complex real‑world perception problems by combining machine learning, computer vision, signal processing, and statistical techniques to improve the ability of systems to detect, classify, track, and understand objects in challenging environments. The successful candidate will have the opportunity to take technical ownership of key capability areas, helping shape future development activities while mentoring others and sharing expertise across the engineering team.
Key Responsibilities
- Research, develop, and evaluate computer vision algorithms for image classification, fine‑grained recognition, and object detection
- Investigate challenging technical problems through structured experiments and evidence‑based approaches
- Design and improve datasets, evaluation methodologies, and automated pipelines to accelerate ML development
- Analyse model performance, identify failure modes, and develop innovative solutions to improve real‑world capability
- Develop tools and processes to improve automation, repeatability, and efficiency across the ML lifecycle
- Provide technical guidance and mentoring to other engineers
- Support integration, testing, and deployment of algorithms into real‑time video processing systems
- Produce technical documentation, reports, and presentations to support engineering decisions
What You'll Need
Essential:
- Degree or equivalent experience in Computer Science, AI, Engineering, Mathematics, or Physics
- Practical experience developing and deploying ML or computer vision algorithms in production or near‑production systems
- Experience with modern computer vision architectures, including object detection, image classification, and transformers
- Ability to analyse image datasets using image processing techniques to inform model development and debugging
- Strong problem‑solving skills with the ability to break down complex, uncertain problems
- Excellent communication skills, able to explain complex technical concepts clearly
- Strong programming skills in Python, with experience in C++ for production or performance‑critical systems
Desirable:
- Experience with Bayesian inference, uncertainty estimation, probabilistic modelling, or state estimation
- Familiarity with custom loss functions, action recognition, synthetic data, or multi‑modal neural networks
- ML development tools (experiment tracking, dataset management, model evaluation, CI/CD pipelines)
- Experience using build systems such as CMake for cross‑platform C++ development
What's on Offer
- 37.5-hour week with lunchtime finishes on Fridays
- Hybrid/flexible working
- 28 days annual leave plus Christmas closure
- Group pension (matched up to 5%), income protection, and life assurance
- EAP, health/wellbeing initiatives, gym membership discounts, EV salary sacrifice scheme
- Shares incentive plan, referral bonus scheme, and strong L&D support
- Free onsite car parking across all locations
Please Note: Due to the nature of this business, successful candidates must be able to obtain UK Security Clearance, including proof of identity, employment history, and 5 years' UK residency.
Senior Algorithms Engineer in Wokingham employer: OpenSourced
Join a leading design and manufacturing business in Wokingham, where innovation meets opportunity. As a Senior Algorithms Engineer, you'll thrive in a collaborative work culture that values creativity and technical excellence, while enjoying benefits like hybrid working, generous annual leave, and strong professional development support. This role not only allows you to tackle complex challenges in the defence industry but also offers a chance to mentor others and shape the future of intelligent sensing technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Algorithms Engineer in Wokingham
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at OpenSourced or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to OpenSourced.
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We think you need these skills to ace Senior Algorithms Engineer in Wokingham
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at OpenSourced.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at OpenSourced and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at OpenSourced
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If OpenSourced uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.