Description
Join us, be part of more.

We’re so much more than an energy company. We’re a family of brands revolutionising how we power the planet. We’re energisers. One team of 21,000 colleagues that’s energising a greener, fairer future by creating an energy system that doesn’t rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion and more potential. That’s why working here is #MoreThanACareer. We do energy differently - we do it all. We make it, store it, move it, sell it and mend it.

About your team:

At Centrica Energy, our mission is to move it.

We’re energy movers by nature. We’re a global renewable energy trading company which helps move energy from source to use - powering businesses, homes, and societies as they transition to a new sustainable energy future. If the idea of working to create a sustainable energy future also moves you, we may very well be the right place for you.

The Quantitative Analytics team at Centrica Energy is part of the Trading Analytics and Algorithms centre of excellence, and is responsible for:

• Delivering quantitative analysis of complex and structured products, that provides insight to help traders to maximise value and manage risk
• Designing and implementing complex mathematical models that allow for consistent pricing and joint risk quantification across multiple portfolios, enabling more holistic and optimal hedging decisions
• Assisting originators in development of structured products across the Renewables, LNG, Gas & Power sectors.

As a Senior Quantitative Developer you will become part of an agile team of circa 10 people located across our offices in both London (UK) and Aalborg (Denmark), with a broad remit to support the development, and use of, our pricing and risk management models and systems. As well as consulting on software design, systems architecture and software engineering practices.

This role will be situated in our London or Aalborg office and the successful candidate will be required to:

• Produce high quality increments to the team’s model library - working both individually and collaboratively.
• Providing leadership in areas such as object modelling & interface design, automated testing & refactoring and performance optimisation.
• Provide support to Trading & Origination on model usage and behaviour.
• Leverage the teams cross-asset expertise to connect business locations, helping to identify synergies and increase efficiency.

Here’s what we’re looking for:

• Master’s Degree or PhD qualification within science, computing, mathematics or other quantitative subject.
• Solid experience of code development in Python, including:
  • Experience developing in an Agile environment
  • Use of math/stats & testing libraries, as well as modern build tools.
  • Ability to refactor code and work effectively with legacy systems.
• Knowledge of Object Orientation, Software Architecture and Design Patterns.
• Good understanding of software testing practices (unit testing, integration testing, etc.). Knowledge of TDD and BDD is a strong plus.
• Experience with DevOps practices and tooling (CI/CD, containerization etc) is desirable.
• Familiarity with mathematical and statistical models used in finance, particularly with regards to derivatives pricing and risk management systems.
• Familiarity or high level of interest in Energy / commodity markets.
• Strong Communicator and fluent in English language.
• Strong interpersonal skills.

#LI-CET

Why should you apply?

We’re not a perfect place - but we’re a people place. Our priority is supporting all of the different realities our people face. Life is about so much more than work. We get it. That’s why we’ve designed our total rewards to give you the flexibility to choose what you need, when you need it, making sure that you and your family are supported not only financially, but physically and emotionally too. Visit the link below to discover why we’re a great place to work and what being part of more means for you.

https://www.morethanacareer.energy/centricaenergy

If you’re full of energy, fired up about sustainability, and ready to craft not only a better tomorrow, but a better you, then come and find your purpose in a team where your voice matters, your growth is non-negotiable, and your ambitions are our priority.

Help us, help you. We would love for you to share any information about yourself throughout our recruitment process so that we can better understand you and help shape your journey.

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.

Sky are developing a cutting-edge AI Operations platform that supports large-scale streaming, content delivery, and live services across the Sky and NBCUniversal ecosystems. We are looking for a Senior Engineer who is passionate about comples systems and the advancement toward AI-assisted operations.

This Senior Software Engineer position within AI Operations focuses on designing, building, and maintaining complex systems that enable alert ingestion, correlation, automation, and operational intelligence at scale. The role is hands-on and deeply technical, offering opportunities to influence platform architecture, contribute to AI-adjacent projects, and shape the application of intelligent automation across intricate operational environments. We utilize a range of technologies to achieve these goals, including machine learning, data engineering, AI, and GENAI for supporting GST.

What you’ll do

• Work as a full-stack software engineer, coding, developing, and testing applications using Golang and Python, across service, API, and automation layers

• Lead the strategic development and implementation of the AI Operations platform, driving AI-enabled software solutions for alert ingestion, correlation, automation, and operational workflows

• Design, build, and operate software and automated testing frameworks on AWS, including unit tests, integration tests, API tests, and environment-based validation

• Document and maintain every aspect of applications and software, including design specifications, configuration, deployment processes, and troubleshooting runbooks

• Train, mentor, and oversee development team members through code reviews, design walkthroughs, and technical guidance

• Locate and direct solutions for critical challenges involving software and hardware interfaces, performance bottlenecks, and reliability issues

• Deliver full-stack software development using continuous improvement techniques and automation, identifying root causes and resolving issues within distributed software systems

• Develop strong cross-functional relationships with leaders, product owners, engineers, programmers, and QA, contributing to planning, delivery, and operational support.

What you’ll bring

• Hands-on experience developing infrastructure-as-code ( IaC ) solutions in a data or platform engineering role, and working with Application Performance Management for monitoring, diagnostics, and performance analysis

• Proficie ncy in programming languages such as Golang and Python

• Proven expertise in building and scaling automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing

• Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows

• Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using low-code / no-code automation platforms

• Experience working with MongoDB and Postgres, including data modelling, query optimization, and operational support

• Proven experience creating and maintaining technical documentation, including design specifications, configuration guides, deployment processes, and troubleshooting documentation

• Experience maintaining architecture artifacts such as sequence diagrams and software specification diagrams to support system understanding and change management

• Ability to lead and introduce innovative design concepts, influencing development strategies, patterns, and engineering techniques

• Proven ability to provide technical solutions, troubleshoot engineering automation issues, and stay current with emerging software technologies to design features that complement the platform

Team overview

You’ll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide.

The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work.

Global Streaming 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.

Leeds

Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts

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.

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 .

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.

The Company

Cognizant (NASDAQ:CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world’s leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant has over 350,000 employees as of January 2024. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.

Cognizant Consulting

At Cognizant, our consultants orchestrate the capabilities to truly change the game across strategy, design, technology, and industry/functional knowledge to deliver insight at speed and solutions at scale. Our consulting services elevate the unique abilities and business aspirations of customers and employees and build relationships based on trust and value.

Role Overview

We are looking for an inspiring AI + Data Evangelist to drive awareness, adoption, and cultural transformation around AI, Generative AI, Agentic AI, and data-driven decisioning across the organization. The role acts as a bridge between business teams, technology teams, and senior leadership to articulate AI value, identify transformation opportunities, shape AI-enabled use cases, and promote best practices across BSS, OSS, Network, CX, and Operations.

The ideal candidate is a storyteller, strategist, and hands-on innovator who can simplify complex AI concepts, influence cross-functional teams, and guide the enterprise toward becoming an AI-first telco.

Key Responsibilities

• AI Evangelism & Thought Leadership
• Champion the vision for AI, GenAI, and Agentic AI adoption across business units and technology domains.
• Deliver inspirational talks, demos, PoVs, and workshops to accelerate organizational AI literacy.
• Shape the narrative of how AI will transform BSS, OSS, network operations, customer experience, field operations, and enterprise processes.
• Act as an internal influencer to build a culture of experimentation and data-driven innovation.

Opportunity Identification & Use Case Design

• Work with stakeholders to identify high-impact AI/GenAI opportunities aligned with business priorities.
• Create use case backlogs, business value assessments, and prioritization frameworks.
• Design AI use cases across domains such as:
• Customer service (NLP, chatbots, agent assist)
• BSS (automated journeys, intelligent CRM, catalogue automation)
• OSS/Network (predictive assurance, autonomous ops, network slicing intelligence)
• Enterprise functions (HR, Finance, supply chain insights)
• Collaborate with product managers and enterprise architects to shape MVPs and pilot roadmaps.

Data Strategy & Enablement

• Advocate for strong data governance, data quality, cataloguing, and democratization.
• Promote the use of modern data platforms, streaming analytics, vector search, and LLM-ready architectures.
• Translate analytics and AI potential into business value narratives for leadership teams.
• Support data literacy programs across non-technical teams.

Experimentation & Innovation

• Lead PoCs, showcase emerging AI frameworks, and conduct hands-on demos.
• Stay updated on telco AI innovations digital twins, autonomous networks, intelligent assurance, RAG, multi-agent systems.
• Partner with engineering teams, cloud teams, and vendors to assess tools and capabilities for scaling.

Stakeholder Engagement & Communication

• Act as a trusted advisor to senior leadership on AI strategy and industry trends.
• Work closely with BUs, architecture, and product teams to align AI initiatives with enterprise roadmaps.
• Present complex AI concepts in simplified, business-friendly language.
• Prepare executive thought leadership papers, showcases, roadmaps, and storytelling collateral.

Skills & Experience Requirements

• Technical Competencies
• Strong understanding of telecom ecosystems (BSS/OSS/Network/CX/Operations).
• Solid hands-on experience or strong working knowledge of:
• AI/ML pipelines, MLOps/LLMOps
• Generative AI (LLMs, RAG, embeddings, prompt engineering)
• Agentic AI frameworks and multi-agent orchestration
• Data platforms, big data tools, streaming analytics
• APIs, cloud services (AWS/Azure/GCP)
• Ability to conceptualize and communicate architecture patterns (AI-driven ops, vector databases, knowledge graphs, digital twins).

Business & Leadership Competencies

• Excellent storytelling, communication, and presentation skills.
• Ability to influence executive stakeholders and create buy-in.
• Strong business acumen around digital transformation, cost optimization, and productization of AI.
• Experience in leading workshops, hackathons, or innovation labs.
• Ability to mentor teams and drive organizational data literacy.

Preferred Qualifications

• Certifications in AI/ML, GenAI, Cloud, or Data Engineering.
• Experience working with major telecom operators or technology vendors.
• Knowledge of TM Forum frameworks (Open APIs, eTOM, ODA).

Why This Role Matters

This role is central to accelerating the organizations journey toward becoming a data-powered, AI-native, autonomous telco. As the AI & Data Evangelist, you will be the storyteller, catalyst, and culture-builder who connects strategy to execution and transforms how teams work, make decisions, and innovate.

Hybrid - London - 3 days a week

Our client is a FTSE 100 organisation that invests in and scales businesses across a diverse range of industries. They’re looking for a Junior Data Analyst to join their Digital Solutions team. Reporting into the AI/Data Science Specialist, this will be a hands-on, learning-focused role where you’ll be supporting across a portfolio of digital projects spanning AI, IoT, analytics and operational improvement.

You’ll need to be a recent graduate with a degree in a related field like Data Science, Computer Science, Mathematics, Statistics etc. You’ll also need to be skilled in data preparation, exploratory analysis and visualisation. Having experience with Machine Learning is beneficial as you’ll contribute towards experimentation, validation and structured analytical work. You must be an excellent communicator as you’ll work with technical and nontechnical stakeholders across the organisation.

We’re looking to speak with candidates who:

• A recent graduate (or 1-2 years’ experience) in Data Science, Computer Science, Mathematics, Statistics or a related field
• Have hands-on experience with Python or similar data tools
• Understand core machine learning concepts
• Have experience with data visualisation tools
• Are highly organised, detail-oriented and capable of maintaining structured documentation

AI & GenAI Solutions * Design and delivery of production‑grade GenAI applications * LLMs: Gemini (Flash), OpenAI, LLaMA * Retrieval‑Augmented Generation (RAG), OCR‑based document intelligence * AI‑driven automation for network design audit and compliance * Full‑Stack Application Development * Backend: Python, FastAPI, Django REST * Frontend: Next.js, Angular * Secure API design, document parsing, PDF obfuscation, data extraction * Network Automation & Telco Domain Expertise * RAN design validation and automation * Network automation using APIs and intent‑based workflows * Strong understanding of telecom network architecture and operations * Cloud & Platform Engineering * Cloud platforms: GCP (primary), AWS, Azure * Containerized and cloud‑native application design * CI/CD, Git-based workflows * DevOps & Automation * Infrastructure automation and orchestration * End‑to‑end testing automation * Performance optimization and operational efficiency improvements. * Architecture & Technical Leadership * End‑to‑end ownership from architecture to production * Stakeholder collaboration with engineering, operations, and business teams * Delivery of high‑impact solutions with measurable cost and time savings

Start April initially until Dec 2026 Central London Certain Advantage are seeking Engineers skilled in Python, PySpark and Azure infrastructure services to join a platform team supporting a major data and analytics initiative within a globally renowned Trading business in London. You must be willing to work 3 days a week onsite in central London. This Engineer position is critical to enhancing the team’s ability to deliver re-usable, high quality data pipelines, reduce bottlenecks, and accelerate insight availability for business stakeholders. We need Engineers to have a solid architectural foundation to be able to solve problems independently at a fast pace. You’ll need to offer strong effective communication skills to be able to understand requirements and communicate with technical leaders asynchronously across 5 time zones. Your initial work will involve abstracting code from our product teams into a shared, common python library leveraging PySpark/dataframes. You’ll also be building microservices in the form of python-based Azure Functions. After the initial pre-defined work, you’ll serve as an extension of the product teams building microservices and libraries to solve the common needs across the teams. Required skills: Python PySpark SQL Azure infrastructure Understanding of Containers, Microservices, and Functional design patterns Experience with Agile processes Experience with Terraform Experience with Unit Testing Preferably PyTestOptional, but recommended skills: HTML/CSS React Typescript FastAPI framework Does this sound like your next career move? Apply today! Working with Certain Advantage We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering. If this job isn’t for you, head to (url removed) and register for job alerts and career guidance tips

Onsite Requirements: Remote
Start Date: ASAP
Role Duration: 1 year
Clerance Requirements: Active SC clearance
Inside IR35 - umbrella only

Role Description:
We’re looking for a Data Engineer whose main focus is understanding and documenting existing systems, with the goal of supporting decommissioning activities. The role centres on analysing current solutions built using Java, Node JS, and React, and developing a clear, end to end picture of how data flows across the wider programme.
This includes documenting data flows, system dependencies, and underlying data models, ensuring there is a clear record of how data is structured, stored, and used throughout the solution. The role involves investigating how systems are used on a day-to-day basis, clarifying ownership and integration points, and capturing this information in a way that supports risk assessment and decommissioning decisions.

Responsibilities:
Python and PySpark are required as supporting capabilities, used where needed to analyse data pipelines and confirm how data moves and transforms in practice. The role also requires strong experience with testing and data quality management, ensuring that documented data flows and models are accurate and trusted. Experience working in cloud environments such as AWS or Azure is expected, with Databricks considered a nice to have.
Required Skills:

• Java background
• Node JS
• Json
• RDS
• React
• Data Modelling
• Python / Spark
• Cloud experience (AWS / Azure) o AWS Glue o Databricks
• Testing e.g. PyTest
• Data Quality e.g. Great Expectations

AI & Automation Lead

London (2 days per week)

Up to £70,000

We’re supporting a high-growth, private equity-backed business investing heavily in AI-led operational transformation. With ambitious scale plans over the next 12-18 months, AI is being Embedded into the core operating layer - not as experimentation, but as infrastructure.

This is a hands-on systems role for someone who builds API-driven, production-ready workflows integrated directly into CRM and business processes.

You will own the evolution of HubSpot while architecting AI-driven workflows across marketing and operations. There is clear scope for this position to become the internal AI lead.

Responsibilities

AI & Workflow Architecture

* Design and deploy API-led AI workflows Embedded into CRM and operational processes

* Implement structured prompting, retrieval-based logic and human-in-the-loop controls

* Integrate AI into segmentation, enrichment, reporting and communication flows

CRM & Data

* Architect HubSpot for scale and data integrity

* Build segmentation logic and reporting frameworks to enable intelligent automation

* Maintain clean, structured data foundations

Automation & Integration

* Replace manual processes with automation-first systems

* Build cross-platform workflows (n8n, Make, Zapier or similar)

* Work confidently with APIs, webhooks and structured payloads

Requirements

* 4-6+ years in CRM, automation, RevOps or technical marketing

* Deep hands-on HubSpot experience (essential)

* Strong API and workflow automation experience

* Proven AI implementation beyond basic ChatGPT usage

* Understanding of retrieval-based systems and structured AI workflows

* High ownership mindset and comfort operating at systems level

Up to £70,000 + benefits. London-based, two days per week onsite.

*Rates depend on experience and client requirements

Data Scientist

Hybrid Working - Edinburgh OR London - 2 day a week on site.

Financial Services

Lorien’s leading banking client are seeking an experienced Data Scientist with strong expertise in graph databases and hierarchical data modelling to join our dynamic team onsite in London or Edinburgh.

The successful candidate will be responsible for designing, developing, and optimising graph database solutions to support complex data relationships and hierarchies in our business applications with knowledge/experience of Neo4j.

This role is based in Edinburgh OR London.

This role will be Via Umbrella.

Working in a Hybrid Model of 1 day a week on site.

Key Responsibilities:

• Design, develop, and maintain graph database solutions using Neo4j to model complex hierarchical and relational data.
• Collaborate with data architects and business analysts to translate business requirements into graph models.
• Develop Cypher queries and procedures for data retrieval, manipulation, and analysis.
• Optimise query performance and database schema to ensure scalability and efficiency.
• Integrate Neo4j with existing applications and data sources.
• Troubleshoot and resolve issues related to graph data storage and retrieval.
• Document designs, processes, and solutions clearly for technical and non-technical stakeholders.
• Stay current with graph database trends and best practices to continuously enhance system capabilities.

Required Skills and Experience:

• Proven experience (4+ years) working with Neo4j and Cypher query language.
• Strong understanding of graph theory, graph data structures, and hierarchical data modelling.
• Ability to design and implement efficient and scalable graph database schemas.
• Experience in integrating Neo4j with other data platforms or applications.
• Knowledge of software development best practices, including version control, testing, and deployment.
• Proficiency in relevant programming languages (eg, Java, Python, or JavaScript).
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and ability to work collaboratively in a team.

Preferred Qualifications:

• Experience with other graph technologies or databases.
• Familiarity with cloud platforms (AWS, Azure) hosting Neo4j solutions.
• Experience working in agile development environments.
• Relevant certifications in Neo4j or graph database technologies

IND_PC3

Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Data & AI Product Lead

London Hybrid Permanent
Up to £110,000

VIQU have partnered with a leading insurance organisation seeking a Data & AI Product Lead to shape and drive their UK&I data and AI product strategy. As a Data & AI Product Lead, you will define the vision, roadmap, and operating model for a growing data product ecosystem, working closely with underwriting, pricing, claims, risk, data science, and engineering teams to deliver scalable, high value data and AI products aligned to commercial outcomes. This Data & AI Product Lead role offers genuine enterprise level influence and strategic ownership across the organisation.

Key Responsibilities:

• Define and drive the data and AI product strategy as a Data & AI Product Lead, aligned to business and data objectives.
• Develop and maintain comprehensive product roadmaps and a target data product catalogue.
• Partner with underwriting, pricing, claims, risk, data science, and technology teams to identify opportunities and prioritise initiatives.
• Own the end to end lifecycle of data and AI products from ideation through to deployment and continuous optimisation.
• Establish and embed a clear data product operating model and governance framework.
• Define KPIs and ROI measures to track performance, adoption, and commercial impact.
• Engage senior stakeholders, translating complex data and AI concepts into clear business value.
• Ensure regulatory compliance and high standards of data quality and integrity.

Key Requirements:

• Proven experience as a Data & AI Product Lead, Senior Data Product Manager, or similar end to end product ownership role.
• Strong insurance domain knowledge across pricing, underwriting, claims, and risk.
• Demonstrable experience defining product strategy, roadmaps, prioritisation frameworks, and value measurement.
• Practical knowledge of cloud data platforms such as Azure and Databricks, with the ability to engage engineering teams credibly.
• Experience establishing governance frameworks for data products, ensuring regulatory compliance and data integrity.
• Strong executive level stakeholder management and communication skills.
• Strategic, structured thinker able to operate in ambiguity and drive clarity at pace.

Data & AI Product Lead

London Hybrid Permanent
Up to £110,000

Apply today to speak with VIQU in confidence or contact Belle Hegarty at (url removed).
Know someone exceptional for this Data & AI Product Lead position? Refer them and receive up to £1,000 if successful terms apply.
Follow us on LinkedIn IT Recruitment for more exciting opportunities.

Position: Forward Deployed Engineer (B2)
Location: London, UK (Hybrid)
Permanent position

Job Requirements

• Experience building GenAI applications, including RAG, multi-agent systems, fine-tuning, etc., with tools such as LangChain, LangGraph etc.
• Clear understanding of Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs
• Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP
• Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.)
• Experience with DevOps tools: Kubernetes, Docker, Terraform, CI/CD Pipelines, GitHub/GitLab, GitOps, GitHub Actions, Jira, Jenkins, CircleCI, Datadog, Slack.
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• 5+ years of engineering and technical deployment experience in a customer-facing set up
• Should scoped and delivered complex systems in rapid and ambiguous environments
• Delivered production-grade code across frontend and backend using Python, JavaScript, or similar stacks
• Understand how AI model behaviour affects product experience
• Communicate clearly with engineers, product teams, and customer stakeholders
• Flag risks early and seek attention as per the severity

Key responsibilities:

• Help clients integrate and adopt the offerings; demonstrate the impact / outcomes the offerings commited such as KPI improvements and help client succeed
• Embed within the client landscape, understand their domain and co-develop solutions with the core product engineering teams
• Own technical delivery across multiple deployments from prototype to stable release
• Build bespoke AI and transformative agentic AI solutions
• Technical debugging and root cause analysis
• Rapid prototyping
• Implement and administer best practices

We’re hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in real-world environments.

You’ll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture.

This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform securely, reliably and at scale ensuring performance, cost control and operational maturity as adoption grows.

You’ll work closely with AI engineers, security teams, and product stakeholders to transform experimental models into hardened, production-ready services while shaping a reusable AI platform capable of supporting multiple products.

What You’ll Be Doing

• Design and optimise scalable RAG pipelines and vector search systems
• Orchestrate multi-model AI services with a focus on latency, resilience and performance
• Productionise GenAI workflows and ensure they operate reliably under real usage
• Build and run AI services across AWS and Databricks
• Develop ingestion, embedding and retrieval pipelines
• Deploy containerised workloads via Kubernetes and Helm
• Implement Infrastructure-as-Code using Terraform
• Introduce end-to-end monitoring, tracing and alerting for AI workloads
• Improve inference and retrieval performance while reducing operational cost
• Establish fault-tolerant, scalable infrastructure patterns
• Embed security, evaluation and governance into the AI lifecycle
• Build CI/CD pipelines and automation to support continuous model deployment
• Create reusable platform components to accelerate future AI initiatives

Strong experience in:

• Cloud infrastructure engineering (AWS-focused environments)
• Kubernetes, containerisation, and distributed systems
• Terraform / Infrastructure-as-Code
• CI/CD, automation, and platform reliability
• Running production workloads with high availability requirements

Plus, experience with one or more of the following:

• MLOps or ML platform engineering
• RAG architectures, embeddings, or vector search
• Model serving, observability or performance optimisation
• Data / AI workflow orchestration in Databricks or similar ecosystems

Why Join?

• Work on real-world AI systems operating at scale
• Own platform design decisions and influence long-term architecture
• Blend modern DevOps practices with cutting-edge Generative AI use cases
• Be part of a growing, innovation-driven engineering environment
• Opportunity to define how AI is operationalised across multiple products

If you’re excited by building the infrastructure that makes AI usable, scalable and reliable in production, we’d love to hear from you.

49914MS

INDLON

Portfolio Payroll Ltd is acting as an Employment Agency in relation to this vacancy.

Forward Deployed Engineer Generative AI / LLM Deployment
GenAI LangChain RAG AWS Kubernetes Customer-Facing

We are hiring a Forward Deployed Engineer to lead the deployment of production-grade Generative AI and LLM solutions into enterprise environments.

This is a hands-on, customer-facing role focused on building and deploying RAG pipelines, multi-agent systems and fine-tuned LLM applications using tools such as LangChain and LangGraph. You will embed with client teams, own technical delivery from prototype to production, and demonstrate measurable KPI impact.

Key Responsibilities

• Design and deploy GenAI / LLM applications (RAG, agentic AI, fine-tuning)
• Lead production deployment on AWS, Azure or GCP
• Build scalable backend systems in Python (JavaScript a plus)
• Manage infrastructure using Kubernetes, Docker, Terraform
• Own end-to-end technical delivery across multiple client deployments
• Conduct debugging, optimisation and root cause analysis
• Communicate complex AI concepts to technical and non-technical stakeholders

Requirements

• Strong experience building and deploying LLM / Generative AI solutions
• Hands-on with LangChain, RAG, multi-agent systems
• Cloud ML deployment experience (AWS, Azure or GCP)
• DevOps tooling: Kubernetes, CI/CD, GitHub, GitOps
• Customer-facing technical delivery experience
• Background in Machine Learning, Data Science or AI Engineering

This role suits a Senior Machine Learning Engineer, Applied AI Engineer, AI Solutions Engineer or LLM Engineer who enjoys client impact, rapid prototyping and owning delivery in fast-moving environments.

Apply now to work at the forefront of enterprise AI deployment and agentic systems.

Senior Agentic & Generative AI Consultant
London (Hybrid)
£120,000 £150,000 + Benefits

We are hiring a Senior Agentic & Generative AI Consultant to lead enterprise AI transformation programmes across complex, large-scale organisations.

This is a high-impact consulting role combining AI strategy, solution architecture and hands-on delivery across Generative AI, Large Language Models (LLMs), Agentic AI and Retrieval-Augmented Generation (RAG).

Key Responsibilities:

• Lead AI strategy and executive advisory engagements
• Architect enterprise-grade Generative AI and Agentic AI solutions
• Design multi-agent systems, orchestration frameworks and RAG pipelines
• Own end-to-end solution architecture from discovery to implementation
• Shape AI-led deal pursuits, presales and business cases
• Define AI operating models, governance and responsible AI frameworks
• Integrate AI solutions with ERP, CRM and enterprise platforms

Required Experience:

• Strong consulting background in AI / digital transformation
• Deep hands-on experience with LLMs, Generative AI and RAG architectures
• Experience with vector databases, embeddings and orchestration frameworks
• Enterprise solution architecture and systems integration
• Executive stakeholder engagement and deal leadership

Experience across cloud AI platforms (Azure AI, AWS, GCP) is highly desirable.

This role suits a Principal AI Consultant, AI Architect, AI Director or AI Practice Lead looking to shape enterprise AI strategy while remaining technically hands-on.

Apply now to lead cutting-edge Agentic AI and Generative AI transformation programmes.