Principal ai mobile Work, Jobs in Blackheath (with Salaries)

Principal Machine Learning Engineer (Live Sports Insights)
Sky —London
- Full-time
- Hybrid work
- Machine learning
- Mentoring
- Leadership
Principal Accessibility Specialist, Amazon Experiences and Upskilling
Amazon UK Services Ltd. —London
- Full-time
- Project management
- Bachelor's degree
- JavaScript
Principal Product Manager
Cuvva Limited —Farringdon
- £108,000 - £122,000 a year
- Hybrid work
- Work from home
- Employee discount
Quick apply
Principal Android Engineer - Search and Recommendations Experience
Expedia —London
- Full-time
- Computer Science
- Bachelor's degree
- APIs
Principal Engineer (iGaming)
CreateFuture —London
- Hybrid work
- Travel
- APIs
- IT
Quick apply
1d
Staff Product Designer
Fleek —London
- Full-time
- Employee discount
Quick apply
SAP EWM, MFS S/4HANA Functional consultant - UK
Infosys —London
- Analysis skills
- Continuous improvement
- Mentoring
Engineering Team Lead - Payment Systems
Soho House & Co. —London
- Analysis skills
- AI
- Leadership
- Employee discount
Quick apply
12d
Head of Fire Engineering
Bellrock Property and Facilities Management —London
- Monday to Friday
- Hybrid work
- Bachelor's degree
- Quality control
- Mentoring
- Health & wellbeing programme
- Annual leave
Quick apply
VodafoneThree - Senior Legal Counsel
Vodafone —London
- Full-time
- Hybrid work
- Leadership
- Negotiation
- Employee discount
Head of Learning & Development
Trainline —London
- £100,000 - £110,000 a year
- Full-time
- Hybrid work
- Leadership
Senior Internet Intelligence & Investigations Officer
Competition & Markets Authority —London
- £49,400 - £53,200 a year
- Part-time
- Analysis skills
- Presentation skills
- Scripting
- Employee assistance programme
- Employee discount
1d
Principal Engineer - Technical Lead (Gen AI and MACH Architecture)
AKQA —London
- Hybrid work
- Azure
- System design
- Master's degree
Principal Product Engineer
Zapp —London
- £135,000 - £175,000 a year
- Full-time
- SQL
- APIs
- Sick pay
Principal Machine Learning Engineer, Matching and Recommendations (UK Based)
Bumble Inc. —London
- Call to connect
- Hybrid work
- Machine learning
- Mentoring
- AI
- Annual leave
Quick apply
Principal Product Engineer, React Native
Zapp —London
- £135,000 - £175,000 a year
- Full-time
- DevOps
- Sick pay
Social Content Creator - Government Media Unit
Cabinet Office —London
- £37,922 - £45,259 a year
- Full-time
- Presentation skills
- Mentoring
- Communication skills
- Annual leave
Principal Technical Product Manager, Ads Traffic Quality
Amazon Development Centre (London) Limited —London
- Full-time
- Project management
- Bachelor's degree
- Machine learning
10d
Principal Support Engineer
Tyk Technologies —London
- Weekend availability
- Remote
- APIs
- Leadership
- Communication skills
- Annual leave
Quick apply
Senior Principal Engineer (iOS)
Trainline —London
- £110,000 - £130,000 a year
- Full-time
- Hybrid work
- Leadership
- Communication skills

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Principal Machine Learning Engineer (Live Sports Insights)

Sky -
London

Apply Now

Job details

Full-time

Benefits

Company pension
Discounted gym membership
Private medical insurance
Shuttle service provided

Qualifications

TensorFlow
PyTorch
Machine learning
Mentoring
Metadata
Leadership
Python

Full job description

Job ID: R0052537

Location

London, Middlesex

Hours/week

37.5 hrs/week

Payrate range

Unknown

We believe in better. And we make it happen.

Better content. Better products. And better careers.

Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.

We turn big ideas into the products, content and services millions of people love.

And we do it all right here at Sky.

Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports—giving fans control, fresh perspectives, and predictive insights during the action.

As a Principal Machine Learning Engineer, you’ll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans.

For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office.

What you’ll do:

You’ll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation, real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution—not just single models—while mentoring engineers and data scientists and raising the bar across teams.

Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.

Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.

Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data.

Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring.

Design, architect, and operate low latency, highly reliable cloud based AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance.

What you'll bring

Proven extensive lead level engineering experience delivering data–driven ML systems, with clear ownership of technical direction, mentoring, and delivery.

Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).

Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch, TensorFlow), including taking models from experimentation into production model serving.

End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices.

Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary.

Nice to have

Understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights.

Being a Sports Fan – we immerse ourselves in Sport so having a passion for sport and a desire to push the sports experience to the next level is a real bonus.

The rewards

There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here’s a taster:

Sky Q, for the TV you love all in one place

The magic of Sky Glass at an exclusive rate

A generous pension package

Private healthcare

Discounted mobile and broadband

A wide range of Sky VIP rewards and experiences

Inclusion & how you'll work
We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.
We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space
Osterley
Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.
On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We'd love to hear from you
Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.

But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.

If you believe in better, we’ll back you all the way.

Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Apply Now

Refine Your Search

principal ai mobile jobs in blackheath

Principal Machine Learning Engineer (Live Sports Insights)

Principal Accessibility Specialist, Amazon Experiences and Upskilling

Principal Product Manager

Principal Android Engineer - Search and Recommendations Experience

Principal Engineer (iGaming)

Staff Product Designer

SAP EWM, MFS S/4HANA Functional consultant - UK

Engineering Team Lead - Payment Systems

Head of Fire Engineering

VodafoneThree - Senior Legal Counsel

Head of Learning & Development

Senior Internet Intelligence & Investigations Officer

Principal Engineer - Technical Lead (Gen AI and MACH Architecture)

Principal Product Engineer

Principal Machine Learning Engineer, Matching and Recommendations (UK Based)

Principal Product Engineer, React Native

Social Content Creator - Government Media Unit

Principal Technical Product Manager, Ads Traffic Quality

Principal Support Engineer

Senior Principal Engineer (iOS)

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