Lloyds Banking Group

Build the future. Design and develop digital products used by millions. Drive the next era of banking innovation. Duration: 2 years Salary: £48,500 plus fantastic benefits Locations: London, Halifax, Leeds, Bristol, Manchester, Chester and Edinburgh. Mix office and home working with our hybrid working policy. Qualifications: Access to industry-recognised cloud certifications like Google and Azure, supporting the development of in-demand technical skills alongside day-to-day role experience. Put your love for smart tech to use The Group Chief Operating Office is what makes us who we are. It's one of the largest parts of Lloyds Banking Group, bringing together the technology, engineering and operations teams that keep the business moving. Our software engineers sit in platform teams across Group COO, with each platform aligned to a different part of the business. That means they work with teams across commercial markets, pensions, retail banking, mortgages, HR, Finance or Risk - building the services they need to do their best work. And as a Software Engineer graduate, your work will be anything but behind the scenes. You'll help design, build and maintain the applications, platforms and digital services that millions of customers and colleagues rely on every day. From mobile banking and cloud infrastructure to AI-enabled solutions, you'll use your smarts to decide what banking looks like tomorrow. Two years. Real impact Throughout this two-year scheme, you'll do everything a Junior Software Engineer does. And while you build out your technical expertise within a specific team from the outset, your impact will be felt throughout the business. Expect to: Develop your capability through a blend of structured learning and hands-on experience Get exposed to real business challenges in real environments Transition from learning to delivery at an unmatched pace Keep up with the latest software engineering practices, tools and technologies What your work could look like Work with experienced engineers, product teams, architects and tech specialists to build software that makes a real difference for customers and colleagues Get stuck into coding with languages like Java, Python, TypeScript, Kotlin, Swift, Rust and Golang Learn how modern engineering works in practice, from cloud development and automation to continuous testing Help improve the apps, digital journeys, APIs, AI-enabled tools and platforms that people across the bank rely on every day Use technology to solve real problems, improve experiences and help the business work better Build your confidence as an engineer while learning how software is designed, developed and delivered at serious scale Support in your corner You'll get: A learning journey that's made for you, delivered through digestible training modules A chance to not just build on your existing knowledge but also grow in areas you're interested in The opportunity to learn directly from software engineers and technical specialists who know what they're doing Access to optional industry-recognised cloud certifications like Google and Azure to grow your technical expertise Requirements What you need to apply An understanding of modern engineering practices such as cloud development, automation and continuous testing. A strong foundation in coding languages like Java, Python, TypeScript, Kotlin, Swift, Rust and Golang would be advantageous in the application process. This is a Software Engineer programme first. You may work with AI-enabled solutions, but if your real focus is artificial intelligence, machine learning or data science, our Data Science programme is likely the better route. Note: We cannot sponsor visas. Locations This programme operates in various UK regional locations including London, Halifax, Leeds, Bristol, Manchester and Edinburgh. You'll select one of these regional locations and will be based in that office for the duration of your programme. We support hybrid working, where you'll be expected to spend a minimum of two days each week in the office where you have been placed. Opening and Closing Date Applications for our Software Engineer Graduate Scheme open on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon, as our schemes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.

Build the future. Design and develop digital products used by millions. Drive the next era of banking innovation. Duration: 2 years Salary: £48,500 plus fantastic benefits Locations: London, Halifax, Leeds, Bristol, Manchester and Edinburgh. Mix office and home working with our hybrid working policy. Qualifications: Access to industry-recognised cloud certifications like Google and Azure, supporting the development of in-demand technical skills alongside day-to-day role experience. Put your love for smart tech to use The Group Chief Operating Office is what makes us who we are. It's one of the largest parts of Lloyds Banking Group, bringing together the technology, engineering and operations teams that keep the business moving. Our software engineers sit in platform teams across Group COO, with each platform aligned to a different part of the business. That means they work with teams across commercial markets, pensions, retail banking, mortgages, HR, Finance or Risk - building the services they need to do their best work. And as a Software Engineer graduate, your work will be anything but behind the scenes. You'll help design, build and maintain the applications, platforms and digital services that millions of customers and colleagues rely on every day. From mobile banking and cloud infrastructure to AI-enabled solutions, you'll use your smarts to decide what banking looks like tomorrow. Two years. Real impact Throughout this two-year scheme, you'll do everything a Junior Software Engineer does. And while you build out your technical expertise within a specific team from the outset, your impact will be felt throughout the business. Expect to: Develop your capability through a blend of structured learning and hands-on experience Get exposed to real business challenges in real environments Transition from learning to delivery at an unmatched pace Keep up with the latest software engineering practices, tools and technologies What your work could look like Work with experienced engineers, product teams, architects and tech specialists to build software that makes a real difference for customers and colleagues Get stuck into coding with languages like Java, Python, TypeScript, Kotlin, Swift, Rust and Golang Learn how modern engineering works in practice, from cloud development and automation to continuous testing Help improve the apps, digital journeys, APIs, AI-enabled tools and platforms that people across the bank rely on every day Use technology to solve real problems, improve experiences and help the business work better Build your confidence as an engineer while learning how software is designed, developed and delivered at serious scale Support in your corner You'll get: A learning journey that's made for you, delivered through digestible training modules A chance to not just build on your existing knowledge but also grow in areas you're interested in The opportunity to learn directly from software engineers and technical specialists who know what they're doing Access to optional industry-recognised cloud certifications like Google and Azure to grow your technical expertise Requirements What you need to apply An understanding of modern engineering practices such as cloud development, automation and continuous testing. A strong foundation in coding languages like Java, Python, TypeScript, Kotlin, Swift, Rust and Golang would be advantageous in the application process. This is a Software Engineer programme first. You may work with AI-enabled solutions, but if your real focus is artificial intelligence, machine learning or data science, our Data Science programme is likely the better route. Note: We cannot sponsor visas. Locations This programme operates in various UK regional locations including London, Halifax, Leeds, Bristol, Manchester and Edinburgh. You'll select one of these regional locations and will be based in that office for the duration of your programme. We support hybrid working, where you'll be expected to spend a minimum of two days each week in the office where you have been placed. Opening and Closing Date Applications for our Software Engineer Graduate Scheme open on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon, as our schemes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.

Build the future. Design and develop digital products used by millions. Drive the next era of banking innovation. Duration: 2 years Salary: £48,500 plus fantastic benefits Locations: London, Halifax, Leeds, Bristol, Manchester and Edinburgh. Mix office and home working with our hybrid working policy. Qualifications: Access to industry-recognised cloud certifications like Google and Azure, supporting the development of in-demand technical skills alongside day-to-day role experience. Put your love for smart tech to use The Group Chief Operating Office is what makes us who we are. It's one of the largest parts of Lloyds Banking Group, bringing together the technology, engineering and operations teams that keep the business moving. Our software engineers sit in platform teams across Group COO, with each platform aligned to a different part of the business. That means they work with teams across commercial markets, pensions, retail banking, mortgages, HR, Finance or Risk - building the services they need to do their best work. And as a Software Engineer graduate, your work will be anything but behind the scenes. You'll help design, build and maintain the applications, platforms and digital services that millions of customers and colleagues rely on every day. From mobile banking and cloud infrastructure to AI-enabled solutions, you'll use your smarts to decide what banking looks like tomorrow. Two years. Real impact Throughout this two-year scheme, you'll do everything a Junior Software Engineer does. And while you build out your technical expertise within a specific team from the outset, your impact will be felt throughout the business. Expect to: Develop your capability through a blend of structured learning and hands-on experience Get exposed to real business challenges in real environments Transition from learning to delivery at an unmatched pace Keep up with the latest software engineering practices, tools and technologies What your work could look like Work with experienced engineers, product teams, architects and tech specialists to build software that makes a real difference for customers and colleagues Get stuck into coding with languages like Java, Python, TypeScript, Kotlin, Swift, Rust and Golang Learn how modern engineering works in practice, from cloud development and automation to continuous testing Help improve the apps, digital journeys, APIs, AI-enabled tools and platforms that people across the bank rely on every day Use technology to solve real problems, improve experiences and help the business work better Build your confidence as an engineer while learning how software is designed, developed and delivered at serious scale Support in your corner You'll get: A learning journey that's made for you, delivered through digestible training modules A chance to not just build on your existing knowledge but also grow in areas you're interested in The opportunity to learn directly from software engineers and technical specialists who know what they're doing Access to optional industry-recognised cloud certifications like Google and Azure to grow your technical expertise Requirements What you need to apply An understanding of modern engineering practices such as cloud development, automation and continuous testing. A strong foundation in coding languages like Java, Python, TypeScript, Kotlin, Swift, Rust and Golang would be advantageous in the application process. This is a Software Engineer programme first. You may work with AI-enabled solutions, but if your real focus is artificial intelligence, machine learning or data science, our Data Science programme is likely the better route. Note: We cannot sponsor visas. Locations This programme operates in various UK regional locations including London, Halifax, Leeds, Bristol, Manchester and Edinburgh. You'll select one of these regional locations and will be based in that office for the duration of your programme. We support hybrid working, where you'll be expected to spend a minimum of two days each week in the office where you have been placed. Opening and Closing Date Applications for our Software Engineer Graduate Scheme open on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon, as our schemes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.

Build the future. Design and develop digital products used by millions. Drive the next era of banking innovation. Duration: 2 years Salary: £48,500 plus fantastic benefits Locations: London, Halifax, Leeds, Bristol, Manchester and Edinburgh. Mix office and home working with our hybrid working policy. Qualifications: Access to industry-recognised cloud certifications like Google and Azure, supporting the development of in-demand technical skills alongside day-to-day role experience. Put your love for smart tech to use The Group Chief Operating Office is what makes us who we are. It's one of the largest parts of Lloyds Banking Group, bringing together the technology, engineering and operations teams that keep the business moving. Our software engineers sit in platform teams across Group COO, with each platform aligned to a different part of the business. That means they work with teams across commercial markets, pensions, retail banking, mortgages, HR, Finance or Risk - building the services they need to do their best work. And as a Software Engineer graduate, your work will be anything but behind the scenes. You'll help design, build and maintain the applications, platforms and digital services that millions of customers and colleagues rely on every day. From mobile banking and cloud infrastructure to AI-enabled solutions, you'll use your smarts to decide what banking looks like tomorrow. Two years. Real impact Throughout this two-year scheme, you'll do everything a Junior Software Engineer does. And while you build out your technical expertise within a specific team from the outset, your impact will be felt throughout the business. Expect to: Develop your capability through a blend of structured learning and hands-on experience Get exposed to real business challenges in real environments Transition from learning to delivery at an unmatched pace Keep up with the latest software engineering practices, tools and technologies What your work could look like Work with experienced engineers, product teams, architects and tech specialists to build software that makes a real difference for customers and colleagues Get stuck into coding with languages like Java, Python, TypeScript, Kotlin, Swift, Rust and Golang Learn how modern engineering works in practice, from cloud development and automation to continuous testing Help improve the apps, digital journeys, APIs, AI-enabled tools and platforms that people across the bank rely on every day Use technology to solve real problems, improve experiences and help the business work better Build your confidence as an engineer while learning how software is designed, developed and delivered at serious scale Support in your corner You'll get: A learning journey that's made for you, delivered through digestible training modules A chance to not just build on your existing knowledge but also grow in areas you're interested in The opportunity to learn directly from software engineers and technical specialists who know what they're doing Access to optional industry-recognised cloud certifications like Google and Azure to grow your technical expertise Requirements What you need to apply An understanding of modern engineering practices such as cloud development, automation and continuous testing. A strong foundation in coding languages like Java, Python, TypeScript, Kotlin, Swift, Rust and Golang would be advantageous in the application process. This is a Software Engineer programme first. You may work with AI-enabled solutions, but if your real focus is artificial intelligence, machine learning or data science, our Data Science programme is likely the better route. Note: We cannot sponsor visas. Locations This programme operates in various UK regional locations including London, Halifax, Leeds, Bristol, Manchester and Edinburgh. You'll select one of these regional locations and will be based in that office for the duration of your programme. We support hybrid working, where you'll be expected to spend a minimum of two days each week in the office where you have been placed. Opening and Closing Date Applications for our Software Engineer Graduate Scheme open on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon, as our schemes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.

Build the future. Design and develop digital products used by millions. Drive the next era of banking innovation. Duration: 2 years Salary: £48,500 plus fantastic benefits Locations: London, Halifax, Leeds, Bristol, Manchester and Edinburgh. Mix office and home working with our hybrid working policy. Qualifications: Access to industry-recognised cloud certifications like Google and Azure, supporting the development of in-demand technical skills alongside day-to-day role experience. Put your love for smart tech to use The Group Chief Operating Office is what makes us who we are. It's one of the largest parts of Lloyds Banking Group, bringing together the technology, engineering and operations teams that keep the business moving. Our software engineers sit in platform teams across Group COO, with each platform aligned to a different part of the business. That means they work with teams across commercial markets, pensions, retail banking, mortgages, HR, Finance or Risk - building the services they need to do their best work. And as a Software Engineer graduate, your work will be anything but behind the scenes. You'll help design, build and maintain the applications, platforms and digital services that millions of customers and colleagues rely on every day. From mobile banking and cloud infrastructure to AI-enabled solutions, you'll use your smarts to decide what banking looks like tomorrow. Two years. Real impact Throughout this two-year scheme, you'll do everything a Junior Software Engineer does. And while you build out your technical expertise within a specific team from the outset, your impact will be felt throughout the business. Expect to: Develop your capability through a blend of structured learning and hands-on experience Get exposed to real business challenges in real environments Transition from learning to delivery at an unmatched pace Keep up with the latest software engineering practices, tools and technologies What your work could look like Work with experienced engineers, product teams, architects and tech specialists to build software that makes a real difference for customers and colleagues Get stuck into coding with languages like Java, Python, TypeScript, Kotlin, Swift, Rust and Golang Learn how modern engineering works in practice, from cloud development and automation to continuous testing Help improve the apps, digital journeys, APIs, AI-enabled tools and platforms that people across the bank rely on every day Use technology to solve real problems, improve experiences and help the business work better Build your confidence as an engineer while learning how software is designed, developed and delivered at serious scale Support in your corner You'll get: A learning journey that's made for you, delivered through digestible training modules A chance to not just build on your existing knowledge but also grow in areas you're interested in The opportunity to learn directly from software engineers and technical specialists who know what they're doing Access to optional industry-recognised cloud certifications like Google and Azure to grow your technical expertise Requirements What you need to apply An understanding of modern engineering practices such as cloud development, automation and continuous testing. A strong foundation in coding languages like Java, Python, TypeScript, Kotlin, Swift, Rust and Golang would be advantageous in the application process. This is a Software Engineer programme first. You may work with AI-enabled solutions, but if your real focus is artificial intelligence, machine learning or data science, our Data Science programme is likely the better route. Note: We cannot sponsor visas. Locations This programme operates in various UK regional locations including London, Halifax, Leeds, Bristol, Manchester and Edinburgh. You'll select one of these regional locations and will be based in that office for the duration of your programme. We support hybrid working, where you'll be expected to spend a minimum of two days each week in the office where you have been placed. Opening and Closing Date Applications for our Software Engineer Graduate Scheme open on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon, as our schemes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.

Build the future. Design and develop digital products used by millions. Drive the next era of banking innovation. Duration: 2 years Salary: £48,500 plus fantastic benefits Locations: London, Halifax, Leeds, Bristol, Manchester and Edinburgh. Mix office and home working with our hybrid working policy. Qualifications: Access to industry-recognised cloud certifications like Google and Azure, supporting the development of in-demand technical skills alongside day-to-day role experience. Put your love for smart tech to use The Group Chief Operating Office is what makes us who we are. It's one of the largest parts of Lloyds Banking Group, bringing together the technology, engineering and operations teams that keep the business moving. Our software engineers sit in platform teams across Group COO, with each platform aligned to a different part of the business. That means they work with teams across commercial markets, pensions, retail banking, mortgages, HR, Finance or Risk - building the services they need to do their best work. And as a Software Engineer graduate, your work will be anything but behind the scenes. You'll help design, build and maintain the applications, platforms and digital services that millions of customers and colleagues rely on every day. From mobile banking and cloud infrastructure to AI-enabled solutions, you'll use your smarts to decide what banking looks like tomorrow. Two years. Real impact Throughout this two-year scheme, you'll do everything a Junior Software Engineer does. And while you build out your technical expertise within a specific team from the outset, your impact will be felt throughout the business. Expect to: Develop your capability through a blend of structured learning and hands-on experience Get exposed to real business challenges in real environments Transition from learning to delivery at an unmatched pace Keep up with the latest software engineering practices, tools and technologies What your work could look like Work with experienced engineers, product teams, architects and tech specialists to build software that makes a real difference for customers and colleagues Get stuck into coding with languages like Java, Python, TypeScript, Kotlin, Swift, Rust and Golang Learn how modern engineering works in practice, from cloud development and automation to continuous testing Help improve the apps, digital journeys, APIs, AI-enabled tools and platforms that people across the bank rely on every day Use technology to solve real problems, improve experiences and help the business work better Build your confidence as an engineer while learning how software is designed, developed and delivered at serious scale Support in your corner You'll get: A learning journey that's made for you, delivered through digestible training modules A chance to not just build on your existing knowledge but also grow in areas you're interested in The opportunity to learn directly from software engineers and technical specialists who know what they're doing Access to optional industry-recognised cloud certifications like Google and Azure to grow your technical expertise Requirements What you need to apply An understanding of modern engineering practices such as cloud development, automation and continuous testing. A strong foundation in coding languages like Java, Python, TypeScript, Kotlin, Swift, Rust and Golang would be advantageous in the application process. This is a Software Engineer programme first. You may work with AI-enabled solutions, but if your real focus is artificial intelligence, machine learning or data science, our Data Science programme is likely the better route. Note: We cannot sponsor visas. Locations This programme operates in various UK regional locations including London, Halifax, Leeds, Bristol, Manchester and Edinburgh. You'll select one of these regional locations and will be based in that office for the duration of your programme. We support hybrid working, where you'll be expected to spend a minimum of two days each week in the office where you have been placed. Opening and Closing Date Applications for our Software Engineer Graduate Scheme open on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon, as our schemes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.

Build the future. Design and develop digital products used by millions. Drive the next era of banking innovation. Duration: 2 years Salary: £48,500 plus fantastic benefits Locations: London, Halifax, Leeds, Bristol, Manchester and Edinburgh. Mix office and home working with our hybrid working policy. Qualifications: Access to industry-recognised cloud certifications like Google and Azure, supporting the development of in-demand technical skills alongside day-to-day role experience. Put your love for smart tech to use The Group Chief Operating Office is what makes us who we are. It's one of the largest parts of Lloyds Banking Group, bringing together the technology, engineering and operations teams that keep the business moving. Our software engineers sit in platform teams across Group COO, with each platform aligned to a different part of the business. That means they work with teams across commercial markets, pensions, retail banking, mortgages, HR, Finance or Risk - building the services they need to do their best work. And as a Software Engineer graduate, your work will be anything but behind the scenes. You'll help design, build and maintain the applications, platforms and digital services that millions of customers and colleagues rely on every day. From mobile banking and cloud infrastructure to AI-enabled solutions, you'll use your smarts to decide what banking looks like tomorrow. Two years. Real impact Throughout this two-year scheme, you'll do everything a Junior Software Engineer does. And while you build out your technical expertise within a specific team from the outset, your impact will be felt throughout the business. Expect to: Develop your capability through a blend of structured learning and hands-on experience Get exposed to real business challenges in real environments Transition from learning to delivery at an unmatched pace Keep up with the latest software engineering practices, tools and technologies What your work could look like Work with experienced engineers, product teams, architects and tech specialists to build software that makes a real difference for customers and colleagues Get stuck into coding with languages like Java, Python, TypeScript, Kotlin, Swift, Rust and Golang Learn how modern engineering works in practice, from cloud development and automation to continuous testing Help improve the apps, digital journeys, APIs, AI-enabled tools and platforms that people across the bank rely on every day Use technology to solve real problems, improve experiences and help the business work better Build your confidence as an engineer while learning how software is designed, developed and delivered at serious scale Support in your corner You'll get: A learning journey that's made for you, delivered through digestible training modules A chance to not just build on your existing knowledge but also grow in areas you're interested in The opportunity to learn directly from software engineers and technical specialists who know what they're doing Access to optional industry-recognised cloud certifications like Google and Azure to grow your technical expertise Requirements What you need to apply An understanding of modern engineering practices such as cloud development, automation and continuous testing. A strong foundation in coding languages like Java, Python, TypeScript, Kotlin, Swift, Rust and Golang would be advantageous in the application process. This is a Software Engineer programme first. You may work with AI-enabled solutions, but if your real focus is artificial intelligence, machine learning or data science, our Data Science programme is likely the better route. Note: We cannot sponsor visas. Locations This programme operates in various UK regional locations including London, Halifax, Leeds, Bristol, Manchester and Edinburgh. You'll select one of these regional locations and will be based in that office for the duration of your programme. We support hybrid working, where you'll be expected to spend a minimum of two days each week in the office where you have been placed. Opening and Closing Date Applications for our Software Engineer Graduate Scheme open on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon, as our schemes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.

Be the team behind the shield. Design, build and strengthen the cyber defences that protect critical services from current and emerging cyber threats. Duration: 2 years Salary: £48,500 plus fantastic benefits Locations: Edinburgh, Leeds, Manchester. Mix office and home working with our hybrid working policy. Qualifications: Choose from a range of industry-recognised certifications across Cloud & Infrastructure, DevOps & platform engineering, programming & engineering framework and tools. Engineer the safety net that protects millions The Chief Security Office helps us move fast without compromising security, resilience or control. It protects our people, customers, data and technology while building security into the products, platforms and journeys people use every day. And as a Cyber Security Engineer graduate, your work will be nothing short of impactful. You'll work in the enabling layer of CSO, doing the hard yards of reducing cyber risk at every level. That includes designing and building controls, tooling, detection logic and securing systems that protect millions. Two years. Real impact Throughout this two-year scheme, you'll go beyond just putting out fires. Your work will be centred on secure design, detection capability and risk reduction - as you build security into the bones of every system, platform and delivery process. Expect to: Build and improve security tools and services that help us innovate and safely go faster Create solutions that protect customers, colleagues and data from cyber threats Automate repetitive tasks and security checks to make processes faster, simpler and more reliable Help keep critical systems secure, resilient and available when they are needed most Work across software engineering, cloud, infrastructure and DevOps to design and deliver secure technology solutions What your work could look like Helping engineering teams embed security into every design and deliverable Taking our detection capability, response logic, rules, and controls to the next level Building secure infrastructure using code, laying strong and scalable foundations Improving the way we build, test and release pipelines (CI/CD) Automating the stuff that doesn't need to be manual - reducing risk and room for error Contributing to a security-minded engineering culture Skills you'd own By the end of the scheme, you'll: Get comfortable in the cloud learn how modern cloud technology powers secure digital services working with platforms such as Google Cloud and Microsoft Azure Build things that are safe from the start, using tools like Kubernetes, Docker, Terraform and CI/CD pipelines Use code to solve real problems, developing practical skills in Python, JavaScript, TypeScript, React and Node.js Explore how security works behind the scenes, from protecting sensitive information to identifying and responding to cyber threats Automate the repetitive stuff - to make security faster, simpler and more reliable with less risk and fewer mistakes Build skills that can keep up - because the tools, projects and cyber threats may change, but adaptable strong engineering thinking will always matter Teams you'd touch base with This is a role with real variety and impact. You'll work with teams across different security labs and teams, gaining experience in everything from cloud security and cyber defence to AI, digital identity and threat protection. Along the way, you'll see how different technologies, teams and security capabilities come together to help protect millions of customers, how they work together to protect the business and enable us to safely go faster. What you'll take away Being an expert in design discussions and risk-based decision making Going beyond prevention into detection thinking Taking automation, scripting and configuration-driven engineering head-on Mastering tools like Python, Terraform, Kubernetes, CI/CD pipelines, APIs, and data platforms Support in your corner You'll get: Opportunities to acquire certifications in Google Cloud Platform and Associate Cloud Engineer. Access to the CSO Security Engineering Guild, where engineers connect, learn, share knowledge and build their skills together. Hands-on Tech Days where you'll participate in Catch the Flag (CTF) challenges, hackathons, and real-world problem solving. Anchor Days across hub locations that bring colleagues together for hands on learning, collaboration and community building. Specifically curated Security Learning Pathways to support your skill build and bringing security skills to life. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. Note: We cannot sponsor visas. A strong foundation in Python coding, as it is the main language used across Security Engineering. Locations This programme operates in various UK regional locations, including Leeds, Manchester, Edinburgh. You'll select one of these regional locations and will be based in various offices for the duration of your programme. We support hybrid working, where you'll be expected to spend a minimum of two days each week in the office where you have been placed. Opening and Closing Date Applications for our Cyber Security Engineer Graduate Scheme open on 10 th September and close on 29 TH November. Apply soon, as our schemes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.

Be the team behind the shield. Design, build and strengthen the cyber defences that protect critical services from current and emerging cyber threats. Duration: 2 years Salary: £48,500 plus fantastic benefits Locations: Edinburgh, Leeds, Manchester. Mix office and home working with our hybrid working policy. Qualifications: Choose from a range of industry-recognised certifications across Cloud & Infrastructure, DevOps & platform engineering, programming & engineering framework and tools. Engineer the safety net that protects millions The Chief Security Office helps us move fast without compromising security, resilience or control. It protects our people, customers, data and technology while building security into the products, platforms and journeys people use every day. And as a Cyber Security Engineer graduate, your work will be nothing short of impactful. You'll work in the enabling layer of CSO, doing the hard yards of reducing cyber risk at every level. That includes designing and building controls, tooling, detection logic and securing systems that protect millions. Two years. Real impact Throughout this two-year scheme, you'll go beyond just putting out fires. Your work will be centred on secure design, detection capability and risk reduction - as you build security into the bones of every system, platform and delivery process. Expect to: Build and improve security tools and services that help us innovate and safely go faster Create solutions that protect customers, colleagues and data from cyber threats Automate repetitive tasks and security checks to make processes faster, simpler and more reliable Help keep critical systems secure, resilient and available when they are needed most Work across software engineering, cloud, infrastructure and DevOps to design and deliver secure technology solutions What your work could look like Helping engineering teams embed security into every design and deliverable Taking our detection capability, response logic, rules, and controls to the next level Building secure infrastructure using code, laying strong and scalable foundations Improving the way we build, test and release pipelines (CI/CD) Automating the stuff that doesn't need to be manual - reducing risk and room for error Contributing to a security-minded engineering culture Skills you'd own By the end of the scheme, you'll: Get comfortable in the cloud learn how modern cloud technology powers secure digital services working with platforms such as Google Cloud and Microsoft Azure Build things that are safe from the start, using tools like Kubernetes, Docker, Terraform and CI/CD pipelines Use code to solve real problems, developing practical skills in Python, JavaScript, TypeScript, React and Node.js Explore how security works behind the scenes, from protecting sensitive information to identifying and responding to cyber threats Automate the repetitive stuff - to make security faster, simpler and more reliable with less risk and fewer mistakes Build skills that can keep up - because the tools, projects and cyber threats may change, but adaptable strong engineering thinking will always matter Teams you'd touch base with This is a role with real variety and impact. You'll work with teams across different security labs and teams, gaining experience in everything from cloud security and cyber defence to AI, digital identity and threat protection. Along the way, you'll see how different technologies, teams and security capabilities come together to help protect millions of customers, how they work together to protect the business and enable us to safely go faster. What you'll take away Being an expert in design discussions and risk-based decision making Going beyond prevention into detection thinking Taking automation, scripting and configuration-driven engineering head-on Mastering tools like Python, Terraform, Kubernetes, CI/CD pipelines, APIs, and data platforms Support in your corner You'll get: Opportunities to acquire certifications in Google Cloud Platform and Associate Cloud Engineer. Access to the CSO Security Engineering Guild, where engineers connect, learn, share knowledge and build their skills together. Hands-on Tech Days where you'll participate in Catch the Flag (CTF) challenges, hackathons, and real-world problem solving. Anchor Days across hub locations that bring colleagues together for hands on learning, collaboration and community building. Specifically curated Security Learning Pathways to support your skill build and bringing security skills to life. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. Note: We cannot sponsor visas. A strong foundation in Python coding, as it is the main language used across Security Engineering. Locations This programme operates in various UK regional locations, including Leeds, Manchester, Edinburgh. You'll select one of these regional locations and will be based in various offices for the duration of your programme. We support hybrid working, where you'll be expected to spend a minimum of two days each week in the office where you have been placed. Opening and Closing Date Applications for our Cyber Security Engineer Graduate Scheme open on 10 th September and close on 29 TH November. Apply soon, as our schemes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.

Code. Analyse. Transform. For those with a passion for data that can solve big challenges and reimagine finance, this is the opportunity for you. Duration - 2 years Salary - £48,500 plus fantastic benefits Locations - Bristol, Edinburgh, Leeds, Halifax, London and Manchester. You may need to have regional flexibility whilst on programme. Mix office and home working with our hybrid working policy. Qualifications - Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals. Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you're optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact. Two years. Two game-changing rotations This two-year programme blends office and home working. Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence , applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI , developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems , building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation , creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance , designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability and algorithmic governance , applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities. Your skills toolkit You'll master: Python & SQL Cloud platforms like GCP Data Analysis Machine learning techniques, both theory and application Generative and Agentic AI AI Solution design and evaluation techniques CI/CD and DevOps all delivered through a commercial lens Your multi-week AI power-up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don't know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work. The team in your corner A dedicated mentor A close-knit community of data professional who speak fluent Python and coffee, naturally Your future. Fully funded You'll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us. By the end, you'll have the technical confidence, strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no-one has thought of yet. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas. Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy. Opening and Closing Date Applications for our Data Science & AI Graduate Scheme opens on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon as our programmes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.

Code. Analyse. Transform. For those with a passion for data that can solve big challenges and reimagine finance, this is the opportunity for you. Duration - 2 years Salary - £48,500 plus fantastic benefits Locations - Bristol, Edinburgh, Leeds, Halifax, London and Manchester. You may need to have regional flexibility whilst on programme. Mix office and home working with our hybrid working policy. Qualifications - Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals. Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you're optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact. Two years. Two game-changing rotations This two-year programme blends office and home working. Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence , applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI , developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems , building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation , creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance , designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability and algorithmic governance , applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities. Your skills toolkit You'll master: Python & SQL Cloud platforms like GCP Data Analysis Machine learning techniques, both theory and application Generative and Agentic AI AI Solution design and evaluation techniques CI/CD and DevOps all delivered through a commercial lens Your multi-week AI power-up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don't know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work. The team in your corner A dedicated mentor A close-knit community of data professional who speak fluent Python and coffee, naturally Your future. Fully funded You'll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us. By the end, you'll have the technical confidence, strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no-one has thought of yet. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas. Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy. Opening and Closing Date Applications for our Data Science & AI Graduate Scheme opens on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon as our programmes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.

Code. Analyse. Transform. For those with a passion for data that can solve big challenges and reimagine finance, this is the opportunity for you. Duration - 2 years Salary - £48,500 plus fantastic benefits Locations - Bristol, Edinburgh, Leeds, Halifax, London and Manchester. You may need to have regional flexibility whilst on programme. Mix office and home working with our hybrid working policy. Qualifications - Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals. Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you're optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact. Two years. Two game-changing rotations This two-year programme blends office and home working. Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence , applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI , developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems , building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation , creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance , designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability and algorithmic governance , applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities. Your skills toolkit You'll master: Python & SQL Cloud platforms like GCP Data Analysis Machine learning techniques, both theory and application Generative and Agentic AI AI Solution design and evaluation techniques CI/CD and DevOps all delivered through a commercial lens Your multi-week AI power-up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don't know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work. The team in your corner A dedicated mentor A close-knit community of data professional who speak fluent Python and coffee, naturally Your future. Fully funded You'll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us. By the end, you'll have the technical confidence, strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no-one has thought of yet. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas. Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy. Opening and Closing Date Applications for our Data Science & AI Graduate Scheme opens on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon as our programmes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.

Code. Analyse. Transform. For those with a passion for data that can solve big challenges and reimagine finance, this is the opportunity for you. Duration - 2 years Salary - £48,500 plus fantastic benefits Locations - Bristol, Edinburgh, Leeds, Halifax, London and Manchester. You may need to have regional flexibility whilst on programme. Mix office and home working with our hybrid working policy. Qualifications - Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals. Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you're optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact. Two years. Two game-changing rotations This two-year programme blends office and home working. Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence , applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI , developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems , building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation , creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance , designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability and algorithmic governance , applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities. Your skills toolkit You'll master: Python & SQL Cloud platforms like GCP Data Analysis Machine learning techniques, both theory and application Generative and Agentic AI AI Solution design and evaluation techniques CI/CD and DevOps all delivered through a commercial lens Your multi-week AI power-up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don't know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work. The team in your corner A dedicated mentor A close-knit community of data professional who speak fluent Python and coffee, naturally Your future. Fully funded You'll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us. By the end, you'll have the technical confidence, strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no-one has thought of yet. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas. Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy. Opening and Closing Date Applications for our Data Science & AI Graduate Scheme opens on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon as our programmes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.

Be the team behind the shield. Design, build and strengthen the cyber defences that protect critical services from current and emerging cyber threats. Duration: 2 years Salary: £48,500 plus fantastic benefits Locations: Edinburgh, Leeds, Manchester. Mix office and home working with our hybrid working policy. Qualifications: Choose from a range of industry-recognised certifications across Cloud & Infrastructure, DevOps & platform engineering, programming & engineering framework and tools. Engineer the safety net that protects millions The Chief Security Office helps us move fast without compromising security, resilience or control. It protects our people, customers, data and technology while building security into the products, platforms and journeys people use every day. And as a Cyber Security Engineer graduate, your work will be nothing short of impactful. You'll work in the enabling layer of CSO, doing the hard yards of reducing cyber risk at every level. That includes designing and building controls, tooling, detection logic and securing systems that protect millions. Two years. Real impact Throughout this two-year scheme, you'll go beyond just putting out fires. Your work will be centred on secure design, detection capability and risk reduction - as you build security into the bones of every system, platform and delivery process. Expect to: Build and improve security tools and services that help us innovate and safely go faster Create solutions that protect customers, colleagues and data from cyber threats Automate repetitive tasks and security checks to make processes faster, simpler and more reliable Help keep critical systems secure, resilient and available when they are needed most Work across software engineering, cloud, infrastructure and DevOps to design and deliver secure technology solutions What your work could look like Helping engineering teams embed security into every design and deliverable Taking our detection capability, response logic, rules, and controls to the next level Building secure infrastructure using code, laying strong and scalable foundations Improving the way we build, test and release pipelines (CI/CD) Automating the stuff that doesn't need to be manual - reducing risk and room for error Contributing to a security-minded engineering culture Skills you'd own By the end of the scheme, you'll: Get comfortable in the cloud learn how modern cloud technology powers secure digital services working with platforms such as Google Cloud and Microsoft Azure Build things that are safe from the start, using tools like Kubernetes, Docker, Terraform and CI/CD pipelines Use code to solve real problems, developing practical skills in Python, JavaScript, TypeScript, React and Node.js Explore how security works behind the scenes, from protecting sensitive information to identifying and responding to cyber threats Automate the repetitive stuff - to make security faster, simpler and more reliable with less risk and fewer mistakes Build skills that can keep up - because the tools, projects and cyber threats may change, but adaptable strong engineering thinking will always matter Teams you'd touch base with This is a role with real variety and impact. You'll work with teams across different security labs and teams, gaining experience in everything from cloud security and cyber defence to AI, digital identity and threat protection. Along the way, you'll see how different technologies, teams and security capabilities come together to help protect millions of customers, how they work together to protect the business and enable us to safely go faster. What you'll take away Being an expert in design discussions and risk-based decision making Going beyond prevention into detection thinking Taking automation, scripting and configuration-driven engineering head-on Mastering tools like Python, Terraform, Kubernetes, CI/CD pipelines, APIs, and data platforms Support in your corner You'll get: Opportunities to acquire certifications in Google Cloud Platform and Associate Cloud Engineer. Access to the CSO Security Engineering Guild, where engineers connect, learn, share knowledge and build their skills together. Hands-on Tech Days where you'll participate in Catch the Flag (CTF) challenges, hackathons, and real-world problem solving. Anchor Days across hub locations that bring colleagues together for hands on learning, collaboration and community building. Specifically curated Security Learning Pathways to support your skill build and bringing security skills to life. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. Note: We cannot sponsor visas. A strong foundation in Python coding, as it is the main language used across Security Engineering. Locations This programme operates in various UK regional locations, including Leeds, Manchester, Edinburgh. You'll select one of these regional locations and will be based in various offices for the duration of your programme. We support hybrid working, where you'll be expected to spend a minimum of two days each week in the office where you have been placed. Opening and Closing Date Applications for our Cyber Security Engineer Graduate Scheme open on 10 th September and close on 29 TH November. Apply soon, as our schemes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.

Code. Analyse. Transform. For those with a passion for data that can solve big challenges and reimagine finance, this is the opportunity for you. Duration - 2 years Salary - £48,500 plus fantastic benefits Locations - Bristol, Edinburgh, Leeds, Halifax, London and Manchester. You may need to have regional flexibility whilst on programme. Mix office and home working with our hybrid working policy. Qualifications - Choose from various qualifications to boost your career, including certifications through Stanford University Online. Work to a personal learning plan that matches your interests and goals. Your AI era starts now At Lloyds Banking Group, data isn't just something we store in the cloud. It's the juice that keeps ideas flowing, decisions sharper, and progress unstoppable. Our Chief Data & Analytics Office has one mission: weave data, analytics and AI into every decision we make. The goal? Simple. Every choice, everywhere, driven by data. As a Data Science & AI Graduate, you won't be on the sidelines watching the algorithms run the show. You'll be training models, crafting algorithms, deploying scalable solutions, and showing exactly what AI can do in the real world. Whether you're optimising performance, unlocking insight or making predictions, everything you do will be rooted in data literacy, ethics and genuine business impact. Two years. Two game-changing rotations This two-year programme blends office and home working. Across two year-long placements, you'll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with some of the biggest datasets in the UK - using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Cloud-native AI engineering and large-scale data platforms , leveraging Google Cloud technologies and modern coding practices to design, build and deploy intelligent solutions, helping the Bank innovate rapidly and deliver value at scale. Advanced analytics, statistical learning and decision intelligence , applying quantitative techniques to uncover patterns, generate insights and optimise outcomes, enabling more informed decisions for both the business and its customers. Machine Learning, predictive modelling and applied AI , developing, evaluating and operationalising models using state-of-the-art libraries and frameworks such as scikit-learn, TensorFlow, PyTorch and XGBoost, helping tackle complex challenges including in areas like fraud prevention, credit risk management and customer personalisation. Generative AI, Large Language Models and autonomous agent systems , building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation , creating resilient data pipelines, scalable deployment architectures and automated machine learning workflows using contemporary engineering and CI/CD practices, enabling AI solutions to operate reliably across the enterprise. AI assurance, evaluation science and model governance , designing rigorous testing, monitoring and validation frameworks for machine learning models and agentic systems, ensuring AI solutions remain robust, trustworthy and aligned to the Bank's strategic objectives. Responsible AI, explainability and algorithmic governance , applying principles of fairness, transparency, interpretability and risk management throughout the AI lifecycle, helping maintain customer trust while delivering innovative AI capabilities. Your skills toolkit You'll master: Python & SQL Cloud platforms like GCP Data Analysis Machine learning techniques, both theory and application Generative and Agentic AI AI Solution design and evaluation techniques CI/CD and DevOps all delivered through a commercial lens Your multi-week AI power-up We start with a blended learning bootcamp. Your fast track from fundamental concepts to advanced technologies and AI skills (and your chance to learn a few tricks even the bots don't know yet). You'll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It's all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects to build your network, test fresh ideas and put your creativity to work. The team in your corner A dedicated mentor A close-knit community of data professional who speak fluent Python and coffee, naturally Your future. Fully funded You'll earn a good salary while mastering the skills shaping the future of tech and finance. Training? Bootcamp? Certifications? All on us. By the end, you'll have the technical confidence, strategic mindset and industry know-how to take your career wherever you want - from deep technical roles to AI strategy leadership or even inventing the next big thing that no-one has thought of yet. Requirements What you need to apply While we do not require a set minimum degree achievement, we strongly recommend the ability to be able to demonstrate sound knowledge, understanding and technical skills aligned to the role. Some aspects of this will be assessed through the application process. We encourage all students to apply, from newly graduated through to MSc/PhD. Note: we cannot sponsor visas. Knowledge of analytical techniques and experience in manipulating and deriving insight from data. Python coding experience, knowledge of SQL and the ability to use statistical modelling techniques as this will form a part of the assessments. Locations Bristol, Edinburgh, Halifax, Leeds, London, Manchester. You will be expected to work in your allocated office a minimum of two days a week as part of our hybrid working policy. Opening and Closing Date Applications for our Data Science & AI Graduate Scheme opens on 10 th September and close on the 29 th November, except for the London location which closes on 11th October. Apply soon as our programmes may close early if we receive a high number of applications. How to Apply Our application process is designed to help you shine. We want everyone to feel they belong and can be their best, regardless of background, identity, or culture. Find details, including stages and tips for success, on our How to Apply page.

Lloyds Banking Group is seeking a WAF Security Engineer to design, implement and evolve our Web Application Firewall platforms, protecting critical customer-facing services at scale. You will automate with IaC and CI/CD, drive platform modernisation and improve monitoring, incident response and security posture across edge, data centre and cloud environments. This hybrid role offers significant influence over technical direction.

JOB TITLE: WAF Security Engineer SALARY: £48,987 - £55,000 per annum LOCATION: Manchester, Leeds, Edinburgh HOURS: Full-time - 35 hours WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy. What you'll be doing You'll be a key engineer responsible for designing, implementing, evolving and maintaining our Web Application Firewall (WAF) platforms, protecting critical customer-facing services at scale. You'll use modern engineering practices, including automation and secure-by-default design, to improve the resilience, performance and security of our edge, data centre and cloud environments. The role offers real scope to influence technical direction, raise engineering standards, and develop our WAF and wider Layer 7 security services. Day to day, you'll work with a high degree of autonomy and contribute technical influence across the team. Your responsibilities will include: Design, implement and continuously optimise WAF security controls, developing and tuning rules and policies to improve protection against emerging threats while minimising false positives and maintaining a seamless customer experience. Engineer new WAF capabilities using Infrastructure as Code, CI/CD pipelines and policy-as-code approaches to deliver secure, repeatable and scalable outcomes. Playing a key role in platform modernisation and service improvements, including refactoring, automation and the reduction of technical debt Driving observability and operational insight by improving monitoring, alerting and telemetry to strengthen platform reliability and incident response Support the diagnosis and resolution of major incidents, partnering closely with Security Engineering, Network and Cloud teams. Embed secure-by-design patterns and guardrails, ensuring controls are codified, consistent and easy for platform consumers to adopt. Produce high-quality engineering documentation, including standards, patterns, platform guidance and runbooks, to enable self-service and repeatable delivery. Participate in the on-call rota, helping to maintain the operational resilience of critical services, with additional compensation provided. Why Join us? If you think all banks are the same, you're wrong. We're a pioneering, fast-changing business that's shaping finance as a force for good. If you're after a role where you can have an impact and do the best work of your career, you've just found it In this role, you'll have the chance to: Shape the future of WAF and Web Application Security capabilities across Lloyds Banking Group. Contribute to engineering standards, patterns and guardrails used across multiple teams and platforms. Work alongside highly skilled engineers in a culture that values modern engineering, automation and continuous improvement. Continue to develop your knowledge in Layer 7 controls and modern engineering practices. What we're looking for? A strong engineering mindset, with hands-on experience of edge, on-premises or cloud-native WAF technologies. Solid understanding of networking and web fundamentals, including HTTP/S, DNS, TLS and platform security concepts. Experience in any of the following: Application Security, API Security, Bot Protection, and Layer 7 DDoS mitigation. Strong automation and scripting skills (Python preferred), with practical experience using Infrastructure as Code tools (Terraform preferred) and modern CI/CD pipelines. Ability to contribute to complex technical investigations, diagnose issues under pressure and develop robust solutions. Confidence to influence engineering decisions and contribute to the team's technical direction. And any experience of these would be great Professional level cloud certifications and/or recognised security or network engineering accreditations. Demonstrable experience with Cloud-based data warehouse technologies. Interest in or experience with developing AI solutions to augment security solutions. We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply. This is a place for you Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities, and we're committed to creating an environment in which everyone can thrive, learn and develop. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative. We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme. We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need. We also offer a wide-ranging benefits package, which includes A generous pension contribution of up to 15% An annual bonus award, subject to Group performance Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 28 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies