Senior Machine Learning Engineer

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Hawk-Eye Innovations (HEI)

Hawk-Eye is a global leader in the live sports arena, pioneering change across Broadcast Production, Officiating and Performance through cutting-edge technology.

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Senior Machine Learning Engineer

Salary Banding: £64,150 - £85,540 or HUF 1.5M - HUF 2.2M per Month

Contract: Full-Time, Permanent

Working Location: Hybrid, 2 Days a week in the office, minimum

Office Locations: Basingstoke, Bristol, Budapest, London

Join Our Team as a Senior Machine Learning Engineer at Hawk-Eye Innovations

Hi, I’m Gabriel Costa, Machine Learning Team Lead at Hawk-Eye Innovations. We're on a mission to revolutionise sports technology, delivering real-time ball, player, and skeletal tracking solutions that power everything from officiating to fan engagement.

Our Machine Learning team plays a vital role in building game-changing systems like SkeleTRACK, which is already trusted by top-tier US sports leagues and European football clubs. As we push into new sports and services, we're looking for a passionate Senior Machine Learning Engineer who’s ready to lead from the front, drive innovation, and help elevate our technology to the next level.

What Your Day Will Look Like:

As a Senior ML Engineer, you'll be at the heart of our development lifecycle. You’ll work closely with product managers, annotation specialists, and engineers across the Computer Vision and ML teams. Here’s what a typical week might involve:

  • Designing and developing new machine learning models with a focus on real-time performance

  • Integrating cutting-edge ML features into our SkeleTRACK product

  • Analysing model performance and identifying areas of improvement

  • Mentoring junior engineers and driving technical discussions

  • Collaborating with annotation teams to ensure data quality and workflow efficiency

  • Staying ahead of the curve by keeping up with CV/ML research and attending top conferences

  • Proactively identifying problems and owning solutions from design to delivery

This is a role that demands both depth and breadth, you’ll be expected to ship clean, well-structured code and contribute meaningfully to architectural decisions.

Tech Stack and Skill Requirements:

We work at the cutting edge of ML and sports tech. You’ll ideally bring expertise in:

Must-Haves:

  • Python (strong programming fundamentals)

  • Modern C++ (C++17/20)

  • TensorRT for model optimisation

  • PyTorch, PyTorch-Ignite

  • Linux & Windows 10 experience

  • GIT and collaborative software development

Nice-to-Haves:

  • CUDA

  • OpenCV

  • CMake & Visual Studio

  • Typescript & Semantic UI React

  • SSH and secure deployment workflows

Bonus Skills:

  • QT, JIRA, Confluence

  • ClearML

  • TeamCity for CI/CD

What We Value:

At Hawk-Eye, our culture is built on openness, collaboration, and technical excellence. Here’s what we value in our team members:

  • Autonomy & Accountability – We trust our engineers to own their work and deliver impact

  • Mentorship & Leadership – As a senior team member, you’ll lead by example and uplift others

  • Pragmatism – We’re creative and experimental, but always grounded in real-world application

  • Continuous Learning – From peer code reviews to hack days and conferences, we never stop growing

  • Collaboration – We work cross-functionally and communicate with transparency and empathy

Ready to Make an Impact?

If you’re excited about working with elite engineers, solving complex ML problems in real-time, and seeing your work power some of the world’s biggest sporting events, then we’d love to meet you.

Here at Hawk-Eye, you won’t just be building models, you’ll be helping define the future of sports technology.

Apply now and join us in shaping the next era of officiating, broadcasting, and fan experience.

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Tags: C++ CI/CD ClearML CMake Computer Vision Confluence CUDA Data quality Git Jira Linux Machine Learning ML models OpenCV Python PyTorch React Research TensorRT TypeScript

Perks/benefits: Career development Conferences Team events Transparency

Region: Remote/Anywhere

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