Senior Algorithms Engineer in RG41, Wokingham, Berkshire

Senior Algorithms Engineer in RG41, Wokingham, Berkshire

Wokingham Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Develop cutting-edge algorithms for defence applications using AI and computer vision.
  • Company: Join Chess Dynamics, a leader in innovative design and manufacturing.
  • Benefits: Enjoy flexible working, 28 days leave, and a supportive work-life balance.
  • Other info: Opportunity for career growth and mentoring within a dynamic team.
  • Why this job: Make a real impact in defence tech while shaping future innovations.
  • Qualifications: Degree in relevant field and experience with machine learning or computer vision.

The predicted salary is between 63000 - 77000 £ per year.

Chess Dynamics is an established leading design and manufacturing business with several sites across the UK. Our product range is cutting edge and services the defence industries with products that aid specific client requirements - driving innovation is at the heart of everything we do. We are looking for an innovative algorithms engineer to join our 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 involves solving 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, object detection, and computer vision applications.
  • Investigate challenging technical problems where the solution is not immediately known, developing structured experiments and evidence-based approaches.
  • Design and improve datasets, evaluation methodologies, and automated pipelines to accelerate machine learning 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 machine learning lifecycle.
  • Keep up to date with advances in computer vision, AI, and machine learning, identifying opportunities to apply emerging technologies.
  • Support integration, testing, and deployment of algorithms into real-time video processing systems.
  • Produce technical documentation, reports, and presentations to support engineering decisions.
The Successful Applicant will
  • Essential: Degree or equivalent experience in a relevant technical discipline such as Computer Science, Artificial Intelligence, Engineering, Mathematics, or Physics.
  • Practical experience developing and deploying machine learning 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 machine learning model development and debugging.
  • Strong problem-solving skills with the ability to break down complex, uncertain problems into achievable steps.
  • Ability to take ownership of technical challenges from investigation through to delivery.
  • Have excellent communication skills and the ability to explain complex technical concepts clearly.
  • Able to evaluate technical trade-offs and select appropriate approaches.
  • Strong programming skills in Python, with experience in C++ for production or performance-critical systems.
  • Desirable skills: Applying statistical modelling techniques, Bayesian inference, uncertainty estimation, probabilistic modelling, or state estimation methods to real-world engineering problems.
  • Custom loss functions.
  • Action recognition.
  • Synthetic data.
  • Multi-modal neural networks.
Work life balance
  • 37.5 hour working week, Lunchtime finishes on a Friday.
  • Hybrid / flexible working arrangements.
  • 28 days annual leave, Christmas closure, Holiday purchasing scheme.
Benefits
  • Group pension plan – matched contributions up to 5%.
  • Income protection scheme.
  • Employee Assistance Programme gives you and your family access to 4 key services including remote GP service, second opinion, mental health pathway service and physiotherapy consultations.
  • Life assurance policy, including bereavement counselling and probate helpline.
Security Clearance Requirements

Due to the nature of our business, our staff need to be able to obtain UK Security Clearance as a mandated requirement. Therefore, if successful, you will need to provide proof of employment history and right to work in the UK, along with proof of UK residency for at least five years.

Senior Algorithms Engineer in RG41, Wokingham, Berkshire employer: Energy Jobline CVL

Join a well-established property maintenance contractor in Birmingham, where you will enjoy a supportive work culture and the opportunity for career progression. With benefits such as a company van, fuel card, and ongoing training, this role not only offers stability but also the chance to develop your skills in a hands-on environment backed by an experienced office team. Experience a rewarding career with guaranteed annual leave and social events that foster a strong team spirit.

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Contact Details:

Energy Jobline CVL Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Algorithms Engineer in RG41, Wokingham, Berkshire

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We think you need these skills to ace Senior Algorithms Engineer in RG41, Wokingham, Berkshire

Machine Learning
Computer Vision
Signal Processing
Statistical Techniques
Image Classification
Object Detection
Transformers

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 Energy Jobline CVL.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Energy Jobline CVL 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 Energy Jobline CVL

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 Energy Jobline CVL 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.