ML Engineer

sky; Hounslow; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Free Sky TV or NOW package

Pension with up to 9% employer contrib

Private healthcare

Aviva Digital GP & dental insurance

Discounts on Sky products

Sharesave & Tech schemes

Sky VIP rewards

Job summary

Sky is seeking a Machine Learning Engineer to join our Data Science & Analytics team. You will build and deploy scalable ML solutions powering personalised experiences and commercial decisions across Sky, while developing robust feature pipelines and collaborating with data scientists, engineers and product teams.

You will implement, test, and optimise ML workflows in a large-scale cloud environment, stay current with techniques like Agentic AI, and contribute to reliable, scalable systems that

Qualifications

• Proven ability to build scalable ML solutions in production environments.
• Experience deploying ML models and analytical apps to cloud platforms.
• Familiarity with modern ML engineering practices (CI/CD, model management).
• Strong collaboration with data scientists, engineers and product teams.

Responsibilities

• Build and deploy scalable machine learning solutions that power customer experience, personalisation, and commercial decision-making across Sky.
• Develop robust feature engineering pipelines that feed ML models and analytical products.
• Work closely with data scientists, engineers, and product teams to translate business needs into production ready systems.
• Implement, test, and optimise ML workflows to ensure reliability, performance, and compliance in a large-scale cloud environment.
• Stay current with emerging ML engineering techniques and bring innovative approaches into the team.

Skills

Python engineering

Data engineering workflows

Cloud deployment (GCP)

ML operations (CI/CD)

Docker & Kubernetes

Collaboration

Communication

Tools

Docker

Kubernetes

CI/CD

SQL

Job description

We don't just believe in better. 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, Sky Stream 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.

Role/Team overview

Data science is central to how Sky understands and serves its customers. Our Data Science & Analytics team builds the intelligence that powers personalised experiences, smarter decision-making, and commercial performance across the business. With rich behavioural, engagement, and service-quality data at our fingertips, we're scaling our capabilities and investing in modern Machine Learning Engineering to unlock even more value.

Our ML Engineers work alongside data scientists, data engineers and our operations teams to productionise models, automate workflows, and ensure our solutions run reliably at scale. Together, we're evolving a proven, automated ML platform to keep it reliable, scalable, and ready for the future.

What you’ll do

• Build and deploy scalable machine learning solutions that power customer experience, personalisation, and commercial decision-making across Sky.


• Develop robust feature engineering pipelines that feed ML models and analytical products.


• Work closely with data scientists, engineers, and product teams to translate business needs into production ready systems.


• Implement, test, and optimise ML workflows to ensure reliability, performance, and compliance in a large-scale cloud environment.


• Stay current with emerging ML engineering techniques (e.g. Agentic AI) and bring innovative approaches into the team.

What you’ll bring

• Solid Python engineering skills, including writing production quality code and working with ML/analytics libraries.


• Hands-on experience with data engineering workflows: data modelling, pipeline development, and processing of large structured and unstructured datasets (SQL preferred).


• Practical experience deploying ML models and analytical applications to cloud platforms (GCP preferred).


• Familiarity with modern ML operations practices: model management, monitoring, CI/CD, and reproducible workflows.


• Understanding of microservices, containerisation, or orchestration tools (e.g., Docker, Kubernetes).


• Clear communication skills and the ability to collaborate effectively with technical and non-technical stakeholders.

Benefits and perks

• 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 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 will 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.

Who we are

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 bring 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.

We're an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited 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 as early as you can.

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.

To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position.

To find out more about working with us, search #LifeAtSky on social media.