London, in-person 5 days per week. Competitive Salary between £150,000 and £160,000 base plus benefits.

This is an opportunity to join a high-growth AI scale-up where you will build and deploy production-grade models that sit at the core of the product. You will work directly with an exceptional founding and engineering team, shipping advanced AI features into live customer workflows at pace.

The Company

They are a fast-growing technology business applying generative AI to complex, document-heavy workflows for global customers. The product is already used commercially and is central to how clients manage and automate specialist knowledge work. Backed by leading investors and with a strong balance sheet, they are now scaling their engineering and AI teams significantly. You will be part of a highly technical, in-office culture focused on shipping high-quality product quickly.

The Role

• Design, build and deploy production AI models that directly power core product features.
• Work across the stack to take ideas from research and prototyping into robust, user-facing systems.
• Implement, test and optimise model evaluation pipelines to improve quality and reliability.
• Collaborate closely with engineers, product and research to design new AI features end to end.
• Contribute to architecture and infrastructure decisions in a modern cloud environment.

Your Skills and Experience

• Strong commercial experience as an AI-focused engineer or software engineer with deep AI exposure.
• Excellent Python skills and a track record of writing production-quality code.
• Experience building and deploying ML or LLM-driven systems into live environments.
• Solid software engineering fundamentals across backend and, ideally, some frontend experience.
• Familiarity with modern web and data technologies such as React, TypeScript, APIs, relational databases and cloud infrastructure.
• Comfortable working in a fast-paced, in-person environment and collaborating closely with a highly technical team.
• Strong academic background in a relevant subject and/or evidence of high-calibre research or open-source work is highly valued.

What They Offer

• Base salary up to £185000, with potential flexibility for exceptional profiles.
• Meaningful equity package, giving you real ownership in the business.
• Standard pension and a high-quality in-office environment, including weekday meals.
• Visa sponsorship available where required.
• The chance to work directly with founders and senior engineers on complex, high-impact AI problems.
• Clear progression as the team scales, with opportunities to shape technical direction and standards.

How to Apply

If you are interested in this opportunity, please apply below or email me at

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 .

Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast .

As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects.

What you’ll do

• Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users

• Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data

• Optimise relevance, latency, and response quality for interactive UI components

• Evaluate and improve models using real-world feedback, analytics and experimentation

• Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications

• Contributes to system architecture, model selection, and deployment strategies

• Provides technical guidance and mentorship to junior members of the engineering team

• Participates in Scrum / agile process

• Participates in on-call support with the rest of the team

What you’ll bring

• Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production

• Working experience and in-depth understanding of:

• Large Language Models (LLMs)
• Vector databases and semantic search
• Retrieval-Augmented Generation (RAG)

• Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset

• Familiar with cloud services (e.g. AWS Lambda best practices)

• Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments

Big Plus:

• PhD in related subjects

• Extensive machine learning research background, including a cademic publications in ML- related conferences or journals

Team overview

Global Product

We’re the Global Product. We’re the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can’t wait to get started on what’s next.

The rewards

• 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.

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.

What you’ll do
We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform.

• Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis.
• Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.
• Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.
• Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.
• Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.
• Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.

What you’ll bring

• Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance.
• Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). .
• Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe).
• Experience with high-volume data processing and real-time streaming architectures.
• Strong understanding of recommendation system design and personalisation algorithms.
• Familiarity with Generative AI and its applications in production settings.
• Exceptional communication and analytical problem-solving skills.
• Proven successful experience in mentoring less experienced engineers to improve their technical skills

A Typical Day at the Office

When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what’s happening in the tech communities, then catch up with everyone at the team stand-up. After that, you’ll join your team and pick the first task to get cracking on.

At lunchtime, you’ve got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you’re back, you’ll carry on working with your team on your current feature.

Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective.

Global OTT Technology

Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world’s best entertainment, news and sport.

The rewards

There’s one thing people can’t stop talking about when it comes to : 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.

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 .

Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast .

As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects.

What you’ll do

• Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users

• Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data

• Optimise relevance, latency, and response quality for interactive UI components

• Evaluate and improve models using real-world feedback, analytics and experimentation

• Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications

• Contributes to system architecture, model selection, and deployment strategies

• Provides technical guidance and mentorship to junior members of the engineering team

• Participates in Scrum / agile process

• Participates in on-call support with the rest of the team

What you’ll bring

• Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production

• Working experience and in-depth understanding of:

• Large Language Models (LLMs)
• Vector databases and semantic search
• Retrieval-Augmented Generation (RAG)

• Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset

• Familiar with cloud services (e.g. AWS Lambda best practices)

• Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments

Big Plus:

• PhD in related subjects

• Extensive machine learning research background, including a cademic publications in ML- related conferences or journals

Team overview

Global Product

We’re the Global Product. We’re the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can’t wait to get started on what’s next.

The rewards

• 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.

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 .

Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast .

As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects.

What you’ll do

• Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users

• Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data

• Optimise relevance, latency, and response quality for interactive UI components

• Evaluate and improve models using real-world feedback, analytics and experimentation

• Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications

• Contributes to system architecture, model selection, and deployment strategies

• Provides technical guidance and mentorship to junior members of the engineering team

• Participates in Scrum / agile process

• Participates in on-call support with the rest of the team

What you’ll bring

• Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production

• Working experience and in-depth understanding of:

• Large Language Models (LLMs)
• Vector databases and semantic search
• Retrieval-Augmented Generation (RAG)

• Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset

• Familiar with cloud services (e.g. AWS Lambda best practices)

• Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments

Big Plus:

• PhD in related subjects

• Extensive machine learning research background, including a cademic publications in ML- related conferences or journals

Team overview

Global Product

We’re the Global Product. We’re the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can’t wait to get started on what’s next.

The rewards

• 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.

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 .

Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast .

As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects.

What you’ll do

• Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users

• Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data

• Optimise relevance, latency, and response quality for interactive UI components

• Evaluate and improve models using real-world feedback, analytics and experimentation

• Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications

• Contributes to system architecture, model selection, and deployment strategies

• Provides technical guidance and mentorship to junior members of the engineering team

• Participates in Scrum / agile process

• Participates in on-call support with the rest of the team

What you’ll bring

• Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production

• Working experience and in-depth understanding of:

• Large Language Models (LLMs)
• Vector databases and semantic search
• Retrieval-Augmented Generation (RAG)

• Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset

• Familiar with cloud services (e.g. AWS Lambda best practices)

• Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments

Big Plus:

• PhD in related subjects

• Extensive machine learning research background, including a cademic publications in ML- related conferences or journals

Team overview

Global Product

We’re the Global Product. We’re the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can’t wait to get started on what’s next.

The rewards

• 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.

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.

What you’ll do
We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform.

• Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis.
• Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.
• Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.
• Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.
• Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.
• Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.

What you’ll bring

• Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance.
• Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). .
• Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe).
• Experience with high-volume data processing and real-time streaming architectures.
• Strong understanding of recommendation system design and personalisation algorithms.
• Familiarity with Generative AI and its applications in production settings.
• Exceptional communication and analytical problem-solving skills.
• Proven successful experience in mentoring less experienced engineers to improve their technical skills

A Typical Day at the Office

When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what’s happening in the tech communities, then catch up with everyone at the team stand-up. After that, you’ll join your team and pick the first task to get cracking on.

At lunchtime, you’ve got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you’re back, you’ll carry on working with your team on your current feature.

Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective.

Global OTT Technology

Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world’s best entertainment, news and sport.

The rewards

There’s one thing people can’t stop talking about when it comes to : 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.

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 .

Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast .

As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects.

What you’ll do

• Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users

• Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data

• Optimise relevance, latency, and response quality for interactive UI components

• Evaluate and improve models using real-world feedback, analytics and experimentation

• Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications

• Contributes to system architecture, model selection, and deployment strategies

• Provides technical guidance and mentorship to junior members of the engineering team

• Participates in Scrum / agile process

• Participates in on-call support with the rest of the team

What you’ll bring

• Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production

• Working experience and in-depth understanding of:

• Large Language Models (LLMs)
• Vector databases and semantic search
• Retrieval-Augmented Generation (RAG)

• Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset

• Familiar with cloud services (e.g. AWS Lambda best practices)

• Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments

Big Plus:

• PhD in related subjects

• Extensive machine learning research background, including a cademic publications in ML- related conferences or journals

Team overview

Global Product

We’re the Global Product. We’re the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can’t wait to get started on what’s next.

The rewards

• 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.

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 .

Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast .

As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects.

What you’ll do

• Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users

• Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data

• Optimise relevance, latency, and response quality for interactive UI components

• Evaluate and improve models using real-world feedback, analytics and experimentation

• Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications

• Contributes to system architecture, model selection, and deployment strategies

• Provides technical guidance and mentorship to junior members of the engineering team

• Participates in Scrum / agile process

• Participates in on-call support with the rest of the team

What you’ll bring

• Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production

• Working experience and in-depth understanding of:

• Large Language Models (LLMs)
• Vector databases and semantic search
• Retrieval-Augmented Generation (RAG)

• Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset

• Familiar with cloud services (e.g. AWS Lambda best practices)

• Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments

Big Plus:

• PhD in related subjects

• Extensive machine learning research background, including a cademic publications in ML- related conferences or journals

Team overview

Global Product

We’re the Global Product. We’re the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can’t wait to get started on what’s next.

The rewards

• 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.

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 .

Design, develop, and implement machine learning pipelines and GenAI-powered search and conversational chatbot solutions for scalable mobile and TV applications at Sky and Comcast .

As a professional, be a source of expertise and knowledge for junior team members. Solve complex problems within your area, coordinating with others outside of it if needed. Lead on projects or parts of projects.

What you’ll do

• Design, develop and optimise GenAI-powered search and conversational chatbot experiences that integrate seamlessly into scalable mobile and TV applications used by end users

• Build retrieval-augmented generation (RAG) pipelines combining LLMs with structured and unstructured data

• Optimise relevance, latency, and response quality for interactive UI components

• Evaluate and improve models using real-world feedback, analytics and experimentation

• Collaborates closely with frontend, product, and UX teams to embed AI components into user-facing applications

• Contributes to system architecture, model selection, and deployment strategies

• Provides technical guidance and mentorship to junior members of the engineering team

• Participates in Scrum / agile process

• Participates in on-call support with the rest of the team

What you’ll bring

• Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production

• Working experience and in-depth understanding of:

• Large Language Models (LLMs)
• Vector databases and semantic search
• Retrieval-Augmented Generation (RAG)

• Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset

• Familiar with cloud services (e.g. AWS Lambda best practices)

• Strong team player and confident communicator with experience as a tech lead and individual contributor in agile, fast paced environments

Big Plus:

• PhD in related subjects

• Extensive machine learning research background, including a cademic publications in ML- related conferences or journals

Team overview

Global Product

We’re the Global Product. We’re the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can’t wait to get started on what’s next.

The rewards

• 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.

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.

What you’ll do
We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform.

• Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis.
• Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets.
• Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance.
• Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.
• Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.
• Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems.

What you’ll bring

• Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance.
• Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). .
• Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe).
• Experience with high-volume data processing and real-time streaming architectures.
• Strong understanding of recommendation system design and personalisation algorithms.
• Familiarity with Generative AI and its applications in production settings.
• Exceptional communication and analytical problem-solving skills.
• Proven successful experience in mentoring less experienced engineers to improve their technical skills

A Typical Day at the Office

When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what’s happening in the tech communities, then catch up with everyone at the team stand-up. After that, you’ll join your team and pick the first task to get cracking on.

At lunchtime, you’ve got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you’re back, you’ll carry on working with your team on your current feature.

Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective.

Global OTT Technology

Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world’s best entertainment, news and sport.

The rewards

There’s one thing people can’t stop talking about when it comes to : 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.

Are you an experienced Lead Data Scientist looking to shape AI strategy, mentor a high-performing team, and work on cutting-edge LLM and generative AI projects? Our client, a growing data & AI consultancy, is hiring a technical leader to drive innovation and deliver high-impact solutions for customers across multiple industries.
This role includes leading a team of four and acting as deputy for the Engineering Manager when required.
? Why This Role Stands Out

• Work with advanced machine learning, generative AI, LLMs, and modern analytics technologies.
• Lead and develop a talented data science team.
• Blend hands-on technical delivery with strategic influence.
• Hybrid working, excellent benefits, and strong investment in your professional growth.

Key Responsibilities

• Lead and mentor a team of 4 data scientists, supporting skills’ development, career growth and project delivery.
• Deliver end-to-end data science and AI solutions across multiple client projects.
• Build and deploy machine learning models, including LLM-powered and generative AI applications.
• Run client workshops, gather requirements and translate business challenges into data-driven solutions.
• Review code, set best practices and drive high standards in model development and engineering.
• Contribute to technical roadmaps and product innovation.
• Act as stand-in for the Engineering Manager, supporting delivery governance and technical leadership.

Skills & Experience Needed

• Strong commercial experience in data science, machine learning and AI.
• Hands-on experience with LLMs, generative AI, NLP, or advanced modelling techniques.
• Proficiency in Python, SQL and modern data science libraries (e.g., PyTorch, TensorFlow, scikit-learn, HuggingFace).
• Experience mentoring or managing data scientists.
• Confident working in Agile environments with Git/version control.
• Strong communication skills, especially with non-technical customers.

Desirable (SEO-Optimised)

• Experience with cloud platforms (AWS, Azure, GCP).
• Docker/Kubernetes & modern MLOps tooling.
• Experience across NLP, tabular modelling or computer vision.
• Exposure to LangChain, vector databases or AI-augmented development workflows.

Benefits

• 35 days leave, including public holidays.
• Optional additional unpaid leave.
• Hybrid and flexible working.
• Pension + private health insurance.
• Funding for training, learning resources and conferences.
• Regular knowledge-sharing sessions and team events.

How to ApplySubmit your CV through Hays or contact your Hays consultant for more details.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found at hays.co.uk

Role: Software Developer

Salary: £350,000 T/C

Location: London

Client: Top Fintech

An exciting opportunity has arisen for a highly skilled C++ Developer with excellent technical and communication abilities to join a successful and fast-paced tech-driven team within the finance sector.

You’ll be working alongside top-tier technologists with backgrounds from some of the most respected tech and trading environments, collaborating on cutting-edge systems that push the boundaries of performance and scalability in financial software.

This role offers the chance to contribute to the development of one of the most robust and scalable data platforms in the industry. You’ll have end-to-end involvement in the software development life cycle, with real influence over the direction and implementation of key technical solutions.

Key Requirements:

• Strong commercial experience with C++ and Python (2+ years)
• Proven experience building and consuming RESTful microservices
• Experience handling large-scale or high-throughput data systems
• Prior experience in the finance sector (preferred but not essential)
• Solid academic background, ideally in Computer Science or a related discipline from a top University

If you’re a talented software developer ready to make a meaningful impact in a technically sophisticated environment, apply now - interviews are taking place immediately.

Feel free to get in touch directly with any questions!

Job Title: Solutions Architect (AI and Automation)
Location: Remote (occasional travel to London required)
Salary: £75,000 - £85,000 (Depending on location)

Would you like to work for an organisation plays a pivotal role in safeguarding and improving the quality of health and social care services across England. My client plays a vital role in improving outcomes across health and social care by using data, technology, and insight to drive meaningful change. With a strong focus on innovation and digital transformation, they are investing in modern cloud platforms, artificial intelligence, and advanced analytics to become a truly intelligence-led regulator.

Solutions Architect Responsibilities

• Design scalable, secure, and ethical AI and data solutions using Microsoft Azure technologies.
• Translate business requirements into end-to-end solution architecture across AI, machine learning, and data platforms.
• Maintain architectural blueprints ensuring interoperability, resilience, governance, and regulatory compliance.
• Lead architecture design reviews and provide technical leadership to delivery teams using Agile, DevOps, and CI/CD practices.
• Mentor technical teams and promote responsible AI practices, including transparency, fairness, and security.

Solutions Architect Requirements

• Extensive experience delivering solutions on the Microsoft Azure Data Platform (Synapse Analytics, Data Lake, Databricks, Azure ML, Power BI).
• Expertise in modern data engineering approaches such as ETL/ELT pipelines, streaming, APIs, and event-driven architecture.
• Experience with cloud-native architectures, microservices, and SaaS integrations.
• Knowledge of data governance, information security, and AI ethics within regulated industries.
• Excellent stakeholder engagement and leadership skills.

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.

Hybrid - 3 days onsite, Central London

£65,000 - £90,000 (depending on experience)

Permanent

The Opportunity

We’re partnering with a leading financial services organisation seeking an experienced AI & Data Platform Architect to design and evolve enterprise-scale data and AI solutions within a highly regulated investment banking environment.

This is a senior, hands-on architecture role requiring deep expertise in modern data technologies, AI integration, and cloud-native deployment. You’ll shape the future-state architecture for AI-driven platforms supporting front-office applications, regulatory reporting, and real-time analytics.

Key Responsibilities

• Design and own end-to-end AI-enabled data architectures supporting investment banking use cases
• Architect high-performance data storage and retrieval solutions using technologies such as MongoDB, Redis, Elasticsearch and related tools
• Define best practices across caching, indexing, search optimisation, and distributed data patterns
• Lead AI/ML integration into enterprise systems, including model deployment, inference optimisation and real-time analytics
• Collaborate with data science, engineering, infrastructure and business teams to deliver scalable, compliant solutions
• Ensure robust governance across data provenance, security, and regulatory controls
• Drive cloud-native architecture strategy (AWS/Azure/GCP, containers, micro-services)
• Provide technical leadership, architecture governance, and mentorship across engineering teams

Essential Experience

• 15+ year’s experience in enterprise technology environments
• 5+ year’s operating in a Technical/Enterprise Architecture capacity
• Deep expertise in:
  • MongoDB (schema design, scaling, performance tuning)
  • Redis (high-speed caching, distributed access patterns)
  • Elasticsearch (search architecture and indexing strategies)
• Strong experience embedding AI/ML into enterprise platforms
• Advanced understanding of distributed systems, micro-services, and data modelling
• Experience operating within regulated financial services environments
• Cloud and containerisation expertise (AWS/Azure/GCP, Docker, Kubernetes)
• Strong stakeholder engagement skills with the ability to translate business and regulatory requirements into technical design

Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law.

Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.

By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Job Title: Principal Pricing Analyst

Locations: This can be a largely remote position with the occasion travel to the office closest to you. We have offices based in Manchester, Stoke, London and Peterborough.

Role Overview

Markerstudy Group are looking for a Principal Pricing Analyst to join a quickly growing and developing pricing department across a range of insurance lines.

You will utilise your technical expertise, in-depth knowledge of insurance industry and market leading tools to produce creative and actionable pricing solutions. This role requires a large element of coaching team members and championing best practice across the department.

Reporting to the our Associate Director, you will make use of WTW Radar and Emblem and you will have responsibility for the development and maintenance of predictive models (GLM) and price optimisation including machine learning algorithms (GBM), LTV (Lifetime Value) and fair pricing principles. Ultimately creating value for our customers.

Bringing best in class pricing experience, you’ll be expected to provide pricing proposals considering customer and commercial outcomes, communicating these in a compelling, impactful way to all levels of stakeholders to help us make the right decisions at the right times.

You’ll work on multiple priorities within a fast paced, dynamic environment. You’ll need to be able to manage the expectations of stakeholders alongside prioritising your workload.

As a Principal Pricing Analyst, you will use your advanced analytical skills to:

• Be a key stakeholder influencing the direction & outcome of projects
• Provide technical leadership on WTW toolkit (in particular Radar Optimiser) to drive forward effective and efficient solutions
• Provide thought leadership on optimisation and modelling concepts
• Research, develop and champion the use of best practice methods and standards and ensure they are embedded throughout the department
• Lead the development of the Groups pricing capability
• Query large databases to extract and manipulate data that is fit for purpose
• Oversee and assist in the development and implementation of the market leading methodologies you’ve identified
• Continuously evaluate methodologies, understanding how they fit into the wider piece, and identify where they can be improved

Key Skills and Experience:

• Previous experience within general insurance pricing
• Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering
• Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL)
• A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science)
• Experience of WTW’s Radar software
• Proficient at communicating results in a concise manner both verbally and written

About us

Markerstudy Group is a major force in UK general insurance market, combining scale with innovation. Markerstudy Group have deep product and distribution reach through multiple brands and an experienced leadership foundation coordinating diverse and fast-evolving business units. The Group employs more than 6,000 people across the UK.

£550/day Inside IR-35

Portsmouth - 3 days per week on site

Initial 4 month contract

We’re looking for a Software Engineer to work within a Space Systems Engineering team, developing custom parallel algorithms and accelerating the processing of large-scale imagery and data on GPU platforms.

Key technical skills:

• C++ development and GPU programming frameworks
• Parallel programming concepts and GPU architecture
• Linux systems engineering
• Profiling and debugging tools for GPU code

What you’ll be doing:

• Designing and implementing parallel algorithms for GPUs where existing libraries aren’t sufficient
• Building GPU-ready code for vectorisation, parallel execution and large-scale data processing
• Offloading CPU-heavy imaging, simulation or ML workloads onto multi-GPU Linux systems
• Producing benchmarks, validating performance gains and ensuring numerical correctness

Experience with GPU acceleration in gaming or AI development is also relevant.

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Location:  Hybrid – UK Contract Type: Permanent Hours: Full time Salary: Competitive COMPANY OVERVIEW MOBKOI is a fast-growing mobile company headquartered in London, with offices across central Europe, US and Asia. We use the latest in mobile ad technology to help premium brands effectively reach and engage with their clients' audiences. Bringing to market the most selective site list of premium global and local publishers enabling brands to be selective of where their ads are going to run and thus ensuring brand safety. MOBKOI prides itself on offering full transparency, bespoke creative builds and local market coordination. We are part of The Brandtech Group, formerly known as You & Mr Jones, working with partners developing the best technology across the globe. ROLE OVERVIEW As a Backend Software Engineer (Junior–Mid Level) – Programmatic, you will contribute to the development and evolution of MOBKOI’s programmatic advertising platform. You will work closely with experienced engineers on backend systems that power real-time bidding (RTB), campaign delivery, and large-scale integrations with SSPs and DSPs. This role is well suited to engineers early in their career who want to deepen their expertise in distributed systems, low-latency services, and cloud-based infrastructure, while gaining exposure to the programmatic advertising ecosystem. You will be supported through mentorship, code reviews, and progressive ownership of backend components. RESPONSIBILITIES •    Contribute to the development and improvement of MOBKOI’s programmatic backend systems, including components of the real-time bidding (RTB) pipeline. •    Support the design and implementation of scalable, reliable, and high-performance services handling large volumes of traffic. •    Work alongside senior engineers to help evolve system architecture while balancing performance, cost efficiency, and reliability. •    Assist in monitoring system performance and contribute to initiatives that optimise infrastructure usage and operational cost. •    Participate in diagnosing and resolving issues related to distributed systems, including latency, availability, and scaling challenges. •    Implement backend components following best practices in fault tolerance, load balancing, and resilient design. •    Develop an understanding of the programmatic advertising ecosystem, including SSPs, DSPs, bidding flows, and ad exchanges. •    Contribute to discussions around technology selection, tooling, and build-vs-buy  decisions. •    Collaborate with product, data, and business teams to ensure technical solutions align with business needs. •    Actively participate in code reviews, technical discussions, and continuous improvement initiatives. KEY SKILLS & COMPETENCIES •    Experience in backend software development, gained through a first professional role, internship, or apprenticeship. •    Solid engineering fundamentals with Go (or another backend language with a strong willingness to learn Go). •    Interest in or exposure to distributed systems and high-traffic environments. •    Understanding of core concepts around scalability, reliability, and high availability. •    Familiarity with cloud platforms such as AWS or GCP. •    Awareness of cost-efficient engineering practices and infrastructure optimisation. •    Curiosity about the programmatic advertising landscape and how technical systems support business outcomes. •    Strong collaboration skills and the ability to communicate clearly within a cross-functional team. BEHAVIOURS This role operates in a fast-moving, high-standards environment and requires someone who is motivated to learn, take ownership, and deliver quality work. The role holder is expected to manage their time effectively, adapt to change, and contribute positively to team and business outcomes. The role offers autonomy and is suited to someone who is comfortable balancing independent work with cross-functional collaboration. What we’re looking for: •    Motivation to contribute to the growth and success of the business •    A proactive, adaptable mindset with the ability to learn quickly •    Strong ownership and accountability for outcomes •    Clear and professional communication with a range of stakeholders You may also have experience in the following: Backend Software Engineer, Junior Backend Engineer, Mid-Level Backend Developer, Go Developer (Golang Engineer), Software Engineer – Backend, Programmatic Engineer, AdTech Engineer, RTB Engineer (Real-Time Bidding Engineer), Distributed Systems Engineer, Cloud Backend Engineer (AWS / GCP), Platform Engineer – AdTech, API Developer (Backend), High-Performance Systems Engineer, Programmatic Advertising Developer, Software Engineer – AdTech REF-(Apply online only)

SRT Marine Systems plc (SRT) is a market leader in the domain of international marine surveillance technology and systems. We are a respected, established, and an ambitious multi-national company headquartered in the UK with a global customer base.

The company has a worldwide impact in the marine sector by leading the next generation of maritime domain awareness technologies “MDA”, products, and systems that significantly enhance security, safety, environmental protection, and sustainability. Our customers are global and range from the largest national coast guards to individual vessel owners.

SRT is an exciting company where high-quality results are rewarded. We are ambitious and constantly seek to innovate in order to deliver better products and services to our customers. We strive to make SRT a rewarding and challenging place to work, where talented, hard-working individuals have the opportunity to make a real impact across the marine industry.

We’re seeking an experienced and versatile Senior Sensor Engineer join our Edge Team. This is a rare opportunity to help define and deliver our cutting-edge Maritime Surveillance and Fisheries Monitoring solutions, working at the intersection of hardware, software, and advanced sensor technologies.

About the role of Senior Sensor Engineer - (not exhaustive):

In the Edge Team, you’ll work on the “sensors at the fringe” fixed and mobile surveillance equipment such as radars, cameras, RDF, AIS, and other specialist maritime sensors. Your mission as a Senior Sensor Engineer will be to integrate, calibrate, and optimise these systems in non-production environments, building the software that makes their outputs usable for downstream systems and training our Delivery Team for fielddeployment.

The role spans multi-domain sensor fusion, AI-assisted analysis, anomaly detection, augmented reality, autonomous sentry operation, and evidence collection. You’ll work closely with colleagues across software, hardware, data science, and infrastructure to bring innovative, high-performance edge solutions to life.

What You’ll Be Doing - Senior Sensor Engineer

• Design, develop, and maintain edge-sensor solutions focusing on performance, reliability, and scalability.
• Build test infrastructure to capture and analyse quality and performance metrics
• Work across the stack - UI, backend, robotics, device integrations, networking - learning new technologies as needed
• Collaborate with cross-functional teams to plan, build, and test complex functionality
• Diagnose and resolve technical issues through root cause analysis
• Automate SDLC processes to improve efficiency and reduce manual effort
• Produce and maintain technical documentation
• Mentor peers, contribute to code reviews, and promote collaborative working practices

What You’ll Bring - Senior Sensor Engineer

• Strong engineering mindset with experience in one or more of: Microsoft .Net, GoLang, Python, C++, Rust.
• Broad exposure to remote sensing disciplines, including:
  • Mathematics, physics, and geospatial mapping
  • Working with sensor hardware and electronics
  • Networking principles, protocols, and services
  • Application development across embedded, desktop, and web platforms
  • Video and radar signal processing (e.g., OpenCV)
  • AI-based, hardware-accelerated image processing (e.g., YOLO)
• Familiarity with Enterprise Systems architecture
• Experience with version control systems (Git) and SDLC automation tools
• Excellent problem-solving, debugging, and collaboration skills

Our Values at SRT

Ambition - Aspiring to lead in maritimedomain management
Innovation - Driving improvement through creativity and forward-thinking
Quality - Committing to high standards in performance and reliability
Responsibility - Being individually accountable and team-driven
Team - Collaborating openly with colleagues, partners, and customers

Why Join Us?

• Work on mission-critical maritime surveillance systems used worldwide
• Be part of an ambitious, innovative, and supportive team
• Make a direct impact on global maritime safety and sustainability
• Enjoy flexible hybrid working
• Competitive salary and benefits, including:
  • Matched pension contributions up to 5%
  • Private health care
  • Development and training programmes

SRT Marine Systems plc is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and welcome applications from all backgrounds.

This 3-6 month contract for a Data Architect focuses on shaping and managing data architecture to support analytics initiatives. The role requires expertise in designing and implementing scalable data solutions.

Client Details

They are a not for profit organisation based in the North West

Description

• Design and implement robust data architecture frameworks to support analytics projects.
• Collaborate with cross-functional teams to ensure data solutions align with business objectives.
• Develop scalable data models and optimise database performance.
• Ensure data governance and compliance with relevant regulations.
• Provide technical guidance on data integration and transformation processes.
• Evaluate and recommend tools and technologies for data management.
• Document data architecture and maintain up-to-date records.
• Monitor and troubleshoot data-related issues to ensure seamless operations.

Profile

A successful Data Architect should have:

• Proven experience in data architecture and analytics within the life science industry.
• Strong knowledge of data modelling, database design, and data integration techniques.
• Expertise in relevant tools and technologies for data management and analytics.
• Understanding of data governance and regulatory compliance requirements.
• Ability to collaborate effectively with multidisciplinary teams.
• Strong problem-solving skills and attention to detail.

Job Offer

Daily rate of 450 to 600 - outside IR35

3 month contract, with likely extension

Fully remote role

About the Company

Our client is seeking a Systems Research Engineer to join their AI team in Edinburgh. This is a full-time, permanent role focused on building the next generation of AI-native infrastructure and “Agentic Serving” architectures. Working at the cutting edge of LLM workloads and distributed systems, you will be supported by world-class experts in a high-growth environment. This is a unique opportunity to enter the AI sector, offering an exceptional career path and long-term growth potential. Junior-level candidates are welcome to apply.

About the Role

Job Title: Systems Research Engineer

Location: Edinburgh

Who we are looking

• A Degree in Computer Science / Electrical Engineering, or a related field
• Proficiency in C/C++
• Experience in Python for prototyping
• Hands-on experience with LLM frameworks
• Having one of these knowledge areas: distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure
• Skilled in systems research, distributed algorithms, and performance profiling

Junior-level candidates are welcome to apply

Pay range and compensation package

• Competitive salary
• 33 days annual leave per year (including UK public holidays)
• Group Personal Pension
• Life insurance
• Private medical insurance
• Medical expense claim scheme
• Employee Assistance Program (EAP)
• Cycle to Work scheme
• Company sports club and social events
• Opportunities for funded additional professional certifications or training, where relevant to the business

Equal Opportunity Statement

If you are ready to turn your technical expertise into strategic impact, please send your CV and research portfolio (if any) to Maggie Kwong ( email : (url removed) / mobile : (0)(phone number removed) )

Project People is acting as an Employment Agency in relation to this vacancy.