Senior Software Engineer (Computer Vision, C++)

Bolt6
Winchester
5 months ago
Applications closed

Related Jobs

View all jobs

Senior MLOps Engineer: AI-Driven Banking Platform

Senior Machine Learning Engineer

Lead Software Engineer - Agentic AI/Machine Learning

Senior MLOps Engineer

Lead Software Engineer (Machine Learning)

Lead Software Engineer - Agentic AI/Machine Learning

About Us

We’re building the future of sport. Bolt6 is a sports technology company at the forefront of visual innovation - from real-time tracking and data overlays, to immersive broadcast graphics and AR experiences. We work across tennis, golf, motorsport, volleyball, and more; partnering with rights holders and broadcasters to elevate how sport is seen, understood, and enjoyed.

What You’ll Do

  • Own Computer Vision Products End-to-End: You will own computer vision products throughout their entire lifecycle - from research and production-grade development to deployment, monitoring, and iterative improvement.

  • Maintain Reliability of Our Products: Sports happen in real time, and you will ensure our products deliver continuously. You will diagnose and resolve issues related to cloud-based micro-service systems.

  • Optimise & Debug Real-Time CV Applications: You will find and optimise bottlenecks inside C++ apps both on CPU and GPU.

  • Collaborate Across Teams: Work with our Machine Learning team, Product Managers, and Operations to ensure the project delivers within deadlines.

  • Be a Part of Our Culture: Be proactive, ask for help and clarifications when needed. Lend a hand to your teammates, mentors those you can teach, make Bolt6 a better place.

What You’ll Bring

  • Proven Experience Building and Shipping C++ systems: You have owned, shipped, and maintained a computer vision system in the past, ideally in a cloud-based micro-service environment.

  • Proficiency in Computer Vision: 3D geometry for computer vision, SLAM, numerical optimisations, modern ML techniques. You must be comfortable integrating open-source code to tackle problems.

  • Strong Communication Skills: You can explain technical concepts easily to our product managers, and are able to link those to product features and its delivery phases.

  • Project Ownership: You don’t need to be told what to do. You take responsibility in your work in all stages, from building client confidence with proof-of-concepts, to maintaining reliability when it’s deployed.

Nice to Haves

  • Experience in solving non-linear least square problems

  • Experience in UI development e.g. ImGui

  • Understanding of multithreading techniques

  • Experience with GPU programming e.g. CUDA

  • Experience with a messaging framework, e.g. NATS, RabbitMQ

  • Experience working in and configuring cloud environments (e.g. AWS, Azure, GCP)

  • Experience working with software containers (Docker, Podman) and container orchestration tools such as Kubernetes or Docker Swarm

What We Offer

  • High-impact projects that will appear on live television and be seen by thousands

  • If you are looking for a company where you will be challenged, valued and respected, with great compensation in a team that doesn’t play politics then this is the role for you

  • Ownership and autonomy of your work

  • The opportunity to work in sport at an elite level

  • Support through learning and development tailored to your role

  • We have supported a number of promotions as well as internal changes to help our top talent grow and stay engaged in their careers

  • Bonus scheme

  • Health and wellbeing stipend

  • Competitive salary

Location

There is a choice between working remotely ±3 hours timezone from UK, or we also have offices in London and Winchester.

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.

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Education Jobs

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Jobs

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.