Head of Machine Learning - Computer Vision

Tact United Kingdom
Remote
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AI Summary

Lead the development of production-grade computer vision models for a SportTech company. Set the ML roadmap and standards, and work closely with engineers to deploy and maintain reliable models. Requires experience taking ML models into production and leading engineers.

Key Highlights
Lead development of production-grade computer vision models.
Set ML roadmap and standards, ensuring real-world impact.
Work remotely anywhere in the UK with a competitive package.
Key Responsibilities
Leading development of production-grade computer vision models
Setting the ML roadmap and standards
Working closely with engineers to get models from idea → deployed → reliable in the wild
Owning quality, performance, and real-world impact of what goes out
Technical Skills Required
Python PyTorch TensorFlow AWS
Benefits & Perks
Up to £100K+ package
100% remote anywhere in the UK
Nice to Have
MLOps exposure (CI/CD, Docker, pipelines)
Experience working with video or real-time vision systems

Job Description


Head of Machine Learning - Computer Vision - Up to £100K+ package - 100% remote anywhere in the UK - SportTech


I’m working with a sports tech company building computer vision products used at the very top end of global sport. They are partnered with major golf tournaments, F1, NASCAR, and the biggest tennis events.


The models you work on will be seen by millions and showcased live.


This isn’t a big, bloated team. It’s lean, high bar, and properly technical. You’ll lead a small group of strong ML engineers, set the direction, and stay close enough to the work to actually ship.


What you’ll be doing:


• Leading development of production-grade computer vision models

• Setting the ML roadmap and standards

• Working closely with engineers to get models from idea → deployed → reliable in the wild

• Owning quality, performance, and real-world impact of what goes out


Tech:

• Python

• PyTorch / TensorFlow

• AWS (flexible if you’ve used other cloud)


Nice to have (not essential):

• MLOps exposure (CI/CD, Docker, pipelines)

• Experience working with video or real-time vision systems


What they’re looking for:


• You’ve taken ML models into production, not just experiments

• You’ve led or mentored engineers (small–mid sized teams)

• You don’t need the “Head of” title already you could be a Lead, Principal, EM for e.g.

• Computer vision experience is a strong plus


It’s one of those roles where the work actually gets used at scale, not sat in a lab. Proper ownership, proper impact.


If you’re open to hearing more, drop me a message. LinkedIn profile is fine — CV can come later.


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