Tech Lead Jobs

Join Barclays as a Front Office Senior Java Developer and play a key role in delivering a one-stop platform for the global EFG Funding Desk. As part of the Cash Management Program, you will work closely with the UK and EU Funding Desks, supporting daily funding operations with real-time, accurate data and contributing to the transition from T+2 to T+1 settlement cycles. Embedded with the business, you will act as a hands-on technical partner—translating workflows into scalable Java and Spring Boot solutions, supporting production, and collaborating with global teams to drive continuous improvement.

To be successful in this role, you should have:

Excellent communication and collaboration skills, with the ability to engage directly with business users
Proficient in Core Java and Spring Framework with demonstrated hands‑on development experience
Strong background in server‑side microservices architecture utilizing real‑time messaging frameworks
Solid understanding and practical skills in Unix/Linux environments, including shell scripting fundamentals
Advanced SQL capabilities with expertise in stored procedures and database optimization

Some other highly valued skills may include:

CI/CD and DevOps practices using GitLab
Prior exposure to prime brokerage and/or funding/settlements business domain
Ability to learn new tools and technologies quickly

You may be assessed on key critical skills relevant to success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology skills, as well as job-specific technical skills.

This role is based in Glasgow.

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.

Accountabilities

Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Assistant Vice President Expectations

To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
Communicate complex information. ‘Complex’ information could include sensitive information or information that is difficult to communicate because of its content or its audience.
Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Tech Lead – Python / TypeScript / C# / React / Azure £650–£750 per day | Outside IR35 | 6 Month Contract | Remote (Occasional London Travel) I’m currently working with a leading financial services technology consultancy that is looking to bring in an experienced Tech Lead to support the delivery of modern software solutions within the pensions and investment space. This is a hands-on leadership role, splitting your time between full-stack engineering and leading a small team of senior developers. The role offers the opportunity to work on complex platforms within a highly collaborative environment while helping shape modern engineering practices including AI-assisted and agentic development workflows. The role You will lead a team of four experienced engineers while remaining actively involved in the development process. Alongside technical leadership, you will play a key role in delivery coordination, Agile ceremonies, and stakeholder engagement. You will also act as a key technical contact within the project environment, helping unblock delivery challenges, guide engineering decisions and ensure high-quality solutions are delivered. Key responsibilities • Leading a team of four senior engineers within an Agile delivery environment • Remaining hands-on with full-stack development across Python, TypeScript, C#, React and Azure • Running Agile ceremonies including stand-ups, sprint planning and retrospectives • Managing day-to-day delivery, identifying and removing blockers • Acting as a key technical contact for stakeholders and clients • Driving modern development practices including AI-assisted and agentic engineering workflows • Supporting solution design and maintaining strong engineering standards Experience required • Proven experience operating as a Tech Lead or Senior/Lead Engineer • Strong hands-on development experience across modern full-stack technologies • Experience with Python, TypeScript, C#/.NET, React and Azure environments • Experience leading engineering teams within Agile delivery frameworks • Strong communication skills with the ability to engage confidently with stakeholders • A solutions-focused mindset with a strong focus on delivery and engineering quality Contract details • £650–£750 per day • Outside IR35 • Initial 6 month contract • Remote working with occasional travel to Central London • Immediate start available If this looks like something you’d be interested in, feel free to apply or reach out directly to discuss the opportunity further

Principal/Lead Software Engineer

We're looking for a Principal/Lead Software Engineer to lead the migration and modernisation of a complex legacy application into a modern, scalable architecture. This is a hands-on technical leadership role where you'll shape the design, guide the team, and ensure successful delivery of a critical transformation project. Key Responsibilities Drive the migration of legacy systems to modern, cloud-based solutions. Define and implement microservice architecture using a code-first approach. Apply strong architectural principles and design patterns to deliver robust solutions. Collaborate with a cross-functional team (including React developers) to ensure seamless integration of front-end and back-end. Get hands-on with C#, .NET, SQL, Web APIs, and React for complex feature development. Build credibility through technical expertise and lead the team in pushing designs forward. Work on features that require deep integration with multiple third-party applications. What We're Looking For Proven experience in application modernisation and migration projects. Strong background in microservice architecture and design patterns. Hands-on expertise in C#, .NET, SQL, and Web APIs. Cloud experience (Azure preferred, AWS considered). Knowledge of front-end technologies (React essential; exposure to Next.js a plus). Ability to understand and guide front-end work within the overall architecture. Evidence of delivering complex technical solutions and influencing design decisions. Excellent communication and leadership skills to inspire and guide a team. Interview Process Introductory Call with the Hiring Manager - review CV, discuss role, answer questions. Take-home Technical Task. Face-to-Face Interview at the Newcastle office. Why Join Us? Excellent benefits package including an attractive pension scheme Be at the forefront of a major transformation project. Work with modern technologies and cloud platforms. Hybrid working with flexibility. Opportunity to influence architecture and technical direction. Interested? Apply now and help us modernise for the future

Machine Learning Engineering Lead

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 #LifeAtSky: the perks. Here’s a taster:

Sky Q, for the TV you love all in one place
The magic of Sky Glass at an exclusive rate
A generous pension package
Private healthcare
Discounted mobile and broadband
A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

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

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

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

Applied Machine Learning Lead

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 #LifeAtSky: the perks. Here’s a taster:

Sky Q, for the TV you love all in one place
The magic of Sky Glass at an exclusive rate
A generous pension package
Private healthcare
Discounted mobile and broadband
A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

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

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

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

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 #LifeAtSky: the perks. Here’s a taster:

Sky Q, for the TV you love all in one place
The magic of Sky Glass at an exclusive rate
A generous pension package
Private healthcare
Discounted mobile and broadband
A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

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

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

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

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.

This is a hands-on engineering role within a forward-thinking team driving AI adoption at enterprise scale, transforming customer experiences, optimising operations, and unlocking new business capabilities across the Group. You will be involved across the AI lifecycle - from prototyping and validation to production deployment and ongoing optimisation of AI solutions.

What you’ll do

Design, prototype, and deliver production ready AI systems at enterprise scale, including agentic and multi agent solutions that automate decision making and adaptive workflows.
Build and evolve AI services using large language models, embeddings, vector search, APIs, microservices, and event driven architectures integrated with enterprise data and platforms.
Work hands on with modern AI engineering stacks, primarily Python and cloud native services, taking AI solutions from experimentation through to secure and observable production.
Define, shape, and apply reusable AI engineering standards and patterns, often referred to as AI cookbooks, to accelerate delivery and consistency across teams.
Contribute to the design and evolution of enterprise AI platforms, tooling, and lifecycle management including pipelines, evaluation, deployment, monitoring, and ongoing optimisation.
Partner closely with Architecture, Data, and Cyber Security teams to ensure AI systems are secure, compliant, interoperable, and ethically deployed.
Provide technical leadership and mentoring to AI engineers, and where appropriate take on people management responsibilities aligned to experience and team needs.
Act as a technical leader across the organisation, enabling teams to adopt AI safely and effectively while delivering measurable business impact.

What you’ll bring

Strong software engineering experience in Python and or Java , with a solid understanding of Agile delivery in large scale enterprise environments.
Proven experience delivering AI driven solutions from concept through to production, with clear business or operational impact.
Deep practical understanding of large language models, embeddings, vector databases, and AI system optimisation , with experience building reliable and maintainable AI services.
Experience working in enterprise cloud environments such as Azure Machine Learning, Azure AI Foundry, Google Vertex AI, or equivalent platforms.
Familiarity with agentic or orchestration frameworks such as LangChain, Semantic Kernel, or similar technologies.
Experience mentoring or leading engineers , with the capability to take on people management responsibilities where required.
A strong engineering mindset focused on code quality, performance, observability, and continuous improvement.
Excellent communication skills, with the ability to explain complex AI concepts clearly to both technical and non technical stakeholders.

Team overview

We are seeking an experienced Lead AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You’ll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact.

The rewards

There’s a reason people can’t stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few:
Sky Q, for the TV you love all in one place
A generous pension package
Private healthcare
Discounted mobile and broadband
Access a wide range of exclusive 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:

Livingston Watermark House:

Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there’s onsite parking available for cars, motorbikes and bicycles.

OR

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’s 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.

Machine Learning Team Lead

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 #LifeAtSky: the perks. Here’s a taster:

Sky Q, for the TV you love all in one place
The magic of Sky Glass at an exclusive rate
A generous pension package
Private healthcare
Discounted mobile and broadband
A wide range of Sky VIP rewards and experiences

Inclusion & how you’ll work

We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.

We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.

Your office space

Osterley

Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers.

On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon.

We’d love to hear from you

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

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

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

AI Engineering Manager

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.

This is a hands-on engineering role within a forward-thinking team driving AI adoption at enterprise scale, transforming customer experiences, optimising operations, and unlocking new business capabilities across the Group. You will be involved across the AI lifecycle - from prototyping and validation to production deployment and ongoing optimisation of AI solutions.

What you’ll do

Design, prototype, and deliver production ready AI systems at enterprise scale, including agentic and multi agent solutions that automate decision making and adaptive workflows.
Build and evolve AI services using large language models, embeddings, vector search, APIs, microservices, and event driven architectures integrated with enterprise data and platforms.
Work hands on with modern AI engineering stacks, primarily Python and cloud native services, taking AI solutions from experimentation through to secure and observable production.
Define, shape, and apply reusable AI engineering standards and patterns, often referred to as AI cookbooks, to accelerate delivery and consistency across teams.
Contribute to the design and evolution of enterprise AI platforms, tooling, and lifecycle management including pipelines, evaluation, deployment, monitoring, and ongoing optimisation.
Partner closely with Architecture, Data, and Cyber Security teams to ensure AI systems are secure, compliant, interoperable, and ethically deployed.
Provide technical leadership and mentoring to AI engineers, and where appropriate take on people management responsibilities aligned to experience and team needs.
Act as a technical leader across the organisation, enabling teams to adopt AI safely and effectively while delivering measurable business impact.

What you’ll bring

Strong software engineering experience in Python and or Java , with a solid understanding of Agile delivery in large scale enterprise environments.
Proven experience delivering AI driven solutions from concept through to production, with clear business or operational impact.
Deep practical understanding of large language models, embeddings, vector databases, and AI system optimisation , with experience building reliable and maintainable AI services.
Experience working in enterprise cloud environments such as Azure Machine Learning, Azure AI Foundry, Google Vertex AI, or equivalent platforms.
Familiarity with agentic or orchestration frameworks such as LangChain, Semantic Kernel, or similar technologies.
Experience mentoring or leading engineers , with the capability to take on people management responsibilities where required.
A strong engineering mindset focused on code quality, performance, observability, and continuous improvement.
Excellent communication skills, with the ability to explain complex AI concepts clearly to both technical and non technical stakeholders.

Team overview

We are seeking an experienced Lead AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You’ll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact.

The rewards

There’s a reason people can’t stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few:
Sky Q, for the TV you love all in one place
A generous pension package
Private healthcare
Discounted mobile and broadband
Access a wide range of exclusive 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:

Livingston Watermark House:

Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there’s onsite parking available for cars, motorbikes and bicycles.

OR

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’s 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.

AI Engineering Manager (Google)

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.

This is a hands-on engineering role in a forward-thinking team driving AI adoption at enterprise scale. You will work across the AI lifecycle - from experimentation and prototyping to production deployment - to deliver innovative solutions that transform customer experiences, optimise operations, and enable new business capabilities across the Group.

What you’ll do

Act as a technical leader and mentor, guiding engineering teams in AI design, tooling, and development practices.
Develop and implement AI solutions that automate decision-making and deliver measurable business outcomes.
Design, build, and deploy scalable, maintainable, and observable AI systems, collaborating with senior engineers as needed.
Implement key stages of the AI lifecycle, including data preparation, agent development, evaluation, and monitoring.
Create and refine AI engineering standards, reusable assets, and support secure integration into enterprise platforms.
Stay up to date with industry trends, tools, and best practices in AI engineering

What you’ll bring

Experience of AI architectures, LLMs, vector databases, and agent frameworks such as Google ADK
Strong software development experience in Python and/or Java, with familiarity with the Agile software development lifecycle.
Experience with AI/ML solution development - from prototype to deployment - ideally within a large enterprise environment.
Understanding of cloud environments such as GCP, AWS, or Azure.
Strong analytical and problem-solving skills, with attention to performance and maintainability.
Enthusiasm for AI technologies, automation, and innovation, with a desire to experiment and learn quickly.

Team overview

We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You’ll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact.

The rewards

There’s a reason people can’t stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few:
Sky Q, for the TV you love all in one place
A generous pension package
Private healthcare
Discounted mobile and broadband
Access a wide range of exclusive 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’s 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.

OR

Livingston Watermark House:

Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there’s onsite parking available for cars, motorbikes and bicycles.

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.

This is a hands-on engineering role within a forward-thinking team driving AI adoption at enterprise scale, transforming customer experiences, optimising operations, and unlocking new business capabilities across the Group. You will be involved across the AI lifecycle - from prototyping and validation to production deployment and ongoing optimisation of AI solutions.

What you’ll do

Design, prototype, and deliver production ready AI systems at enterprise scale, including agentic and multi agent solutions that automate decision making and adaptive workflows.
Build and evolve AI services using large language models, embeddings, vector search, APIs, microservices, and event driven architectures integrated with enterprise data and platforms.
Work hands on with modern AI engineering stacks, primarily Python and cloud native services, taking AI solutions from experimentation through to secure and observable production.
Define, shape, and apply reusable AI engineering standards and patterns, often referred to as AI cookbooks, to accelerate delivery and consistency across teams.
Contribute to the design and evolution of enterprise AI platforms, tooling, and lifecycle management including pipelines, evaluation, deployment, monitoring, and ongoing optimisation.
Partner closely with Architecture, Data, and Cyber Security teams to ensure AI systems are secure, compliant, interoperable, and ethically deployed.
Provide technical leadership and mentoring to AI engineers, and where appropriate take on people management responsibilities aligned to experience and team needs.
Act as a technical leader across the organisation, enabling teams to adopt AI safely and effectively while delivering measurable business impact.

What you’ll bring

Strong software engineering experience in Python and or Java , with a solid understanding of Agile delivery in large scale enterprise environments.
Proven experience delivering AI driven solutions from concept through to production, with clear business or operational impact.
Deep practical understanding of large language models, embeddings, vector databases, and AI system optimisation , with experience building reliable and maintainable AI services.
Experience working in enterprise cloud environments such as Azure Machine Learning, Azure AI Foundry, Google Vertex AI, or equivalent platforms.
Familiarity with agentic or orchestration frameworks such as LangChain, Semantic Kernel, or similar technologies.
Experience mentoring or leading engineers , with the capability to take on people management responsibilities where required.
A strong engineering mindset focused on code quality, performance, observability, and continuous improvement.
Excellent communication skills, with the ability to explain complex AI concepts clearly to both technical and non technical stakeholders.

Team overview

We are seeking an experienced Lead AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You’ll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact.

The rewards

There’s a reason people can’t stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few:
Sky Q, for the TV you love all in one place
A generous pension package
Private healthcare
Discounted mobile and broadband
Access a wide range of exclusive 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:

Livingston Watermark House:

Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there’s onsite parking available for cars, motorbikes and bicycles.

OR

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’s 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.

Join Barclays as a UI Developer, contributing to the Investment Banking division by enhancing and expanding platforms within Securitized Products. This is a hands-on role where you will design and build high-quality user interfaces while ensuring excellent user experience.

You will provide technical guidance and mentorship to team members, support the delivery of robust software solutions, and collaborate closely with cross-functional teams to ensure technology decisions align with business objectives. The role requires strong UI/UX expertise combined with full-stack capabilities, enabling you to contribute across the application stack when needed.

To be successful in this role, you should have:

Strong Angular proficiency

Solid web development skills (HTML, CSS)

Strong understanding of UI/UX best practices

Additional highly valued skills include:

Experience working with databases such as Oracle or SQL Server

Knowledge of Python

Experience with Java

You may be assessed on key critical skills relevant to success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology skills, as well as job-specific technical skills.

This role is based in London.

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.

Accountabilities

Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.

Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.

Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.

Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.

Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.

Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Assistant Vice President Expectations

To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.

Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes

If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.

OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.

Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.

Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.

Take ownership for managing risk and strengthening controls in relation to the work done.

Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.

Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.

Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.

Communicate complex information. ‘Complex’ information could include sensitive information or information that is difficult to communicate because of its content or its audience.

Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave

Join Barclays as a Back-End Developer, contributing to the Investment Banking division by enhancing and expanding platforms within Securitized Products. In this role, you will play a key part in designing and developing robust backend systems that support critical business functions.

Your responsibilities will include providing technical guidance, mentorship, and support to help deliver high-quality, scalable software solutions. You will work closely with cross-functional teams to drive technical excellence, encourage innovation, and ensure that engineering decisions align with business objectives.

To be successful in this role, you should have:

Strong experience with Core Java, including multithreading and concurrency

Solid database expertise with technologies such as Oracle or SQL Server

Additional highly valued skills include:

Experience with Python

Previous experience in Investment Banking