Principal ML Engineer | Sports AI & ComputerVision

Sky UK
London, UK
11 days ago
Apply on find.jobs
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Computer Vision Systems Architecture Deep Learning AI Platforms Machine Learning Operations

Job description

You’ll join a team building AI that understands sport, not another recommendation engine. Our work turns live video and sports data into products and experiences used by millions of fans.

What you’ll do:

Act as the technical authority for a key area of our Sports AI platform, setting direction and making the big technical calls.

Shape architecture and guide how we build production-ready AI systems for live video and sports data at scale.

Lead complex AI work from idea through to production, staying hands-on when the technical challenge needs it.

Guide and influence senior engineers and data scientists through technical leadership, mentoring and design reviews.

Raise engineering standards across quality, reliability, scalability and production readiness.

Build credibility through deep technical expertise rather than line management responsibility.

Requirements

Deep expertise in Computer Vision, Deep Learning and production machine learning systems.

Experience operating at Lead, Staff or Principal Engineer level, with a track record of technical ownership and influence.

Proven ability to take complex AI systems from concept to scalable, reliable production services.

Strong judgement across model design, system architecture, engineering trade-offs and low-latency inference.

A hands-on approach to solving difficult technical problems and unblocking teams when it matters.

Desirable skills and experience:

Experience with sports data, video analytics, real-time insight platforms or a passion for sport.

Benefits & conditions

There’s one thing people can’t stop talking about when it comes to life at Sky: the perks. Here’s a taster:

  • Free Sky TV or NOW package, including Sky Sports and Sky Cinema

  • Pension package with up to 9% employer contribution

  • Private healthcare with mental health support

  • Aviva Digital GP and dental insurance

  • Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect

  • Sharesave and Tech schemes

  • A range of Sky VIP rewards and experiences

How you’ll work

We’ve adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week.

Your office base

Osterley

Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there’s plenty of space to see your big ideas come to life. Here you’ll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon.

Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there’s free onsite parking available for cars, motorbikes and bicycles.

About the company

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Q to Sky Glass, we never stand still. We optimise and innovate., We’re Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you’ll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on find.jobs
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:36 min

Choosing between managed AI platforms and custom governance

Péter Farkas Péter Farkas · Europe 2026 Virtual

1:25 min

Distinguishing artificial intelligence from deep learning

Sam Witteveen · Coffee With Developers

5:55 min

Practical applications and use cases for computer vision

Flo Pachinger · LIVE

2:12 min

Navigating technical clarity as a global black belt

Chris Heilmann +2 · LIVE

2:17 min

Distinguishing between AI, machine learning, and deep learning

Mary Grygleski Mary Grygleski · LIVE

Videos

See all

Related articles

See all