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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.

Are you an Automation Engineer who enjoys keeping highly automated equipment running at peak performance? Do you thrive on fault finding, problem solving and identifying improvements that reduce downtime and increase reliability? Would you like to work in a state-of-the-art automated distribution centre supporting one of the worlds most recognised supply chains? Join GXO as an Automation Engineer at our Avonmouth site supporting the Amazon contract. You'll maintain and improve a highly automated operation featuring roller conveyor networks and Intralox sorter technology , helping to maximise reliability, performance and uptime. The role is approximately 60% mechanical and 40% electrical , offering excellent variety across planned maintenance, fault finding and continuous improvement projects. You'll play a key role in keeping the operation running safely and efficiently while working with advanced automation systems in a fast-paced engineering environment. This is a full time, permanent, position. Working hours are Monday to Friday 09:00 till 17:00. Pay, benefits and more: We're looking to offer a salary of up to £50,000.00 per annum and 25 days annual leave (plus bank holidays). Your benefits package includes flexible dental insurance plans, a company sponsored pension scheme, a 24/7 online GP service, life assurance and a fully comprehensive employee assistance programme. You'll also have access to our MyBenefits platform offering a variety of high street discounts, a cycle to work scheme, cashback cards, a saving scheme and much more! What you'll do on a typical day: Carry out planned preventative maintenance to keep automated equipment operating safely and efficiently Diagnose and repair electrical, mechanical and control system faults to minimise downtime Complete maintenance records, reports and documentation using the site CMMS system Support continuous improvement projects, equipment upgrades and engineering initiatives across the site What you need to succeed at GXO: NVQ level 3 or City & Guilds qualification in Mechanical or Electrical Engineering, 18 Edition Electrical certification, plus IOSH managing safely Experience working in an automated engineering, manufacturing, logistics or maintenance environment Strong fault-finding skills across mechanical, electrical and pneumatic systems, with a pro-active approach to problem solving A safety-first mindset with the ability to work independently, manage priorities and drive continuous improvement We engineer faster, smarter, leaner supply chains. GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team - energetic, innovative people of all experience levels and talents who make GXO a great place to work. GXO is an equal opportunity employer. We celebrate, support and thrive on diversity and are committed to creating an inclusive environment for all employees. We believe that diversity and inclusion in our business is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. We are an Armed Forces friendly organisation and Disability Confident Leader as part of the Disability Confident Scheme (GIS) and actively welcome applications from people with disabilities. The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement

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.

Transport Manager (Fleet/Logistics) £40,000 - £50,000 + Training + Progression + Company benefits Uxbridge Are you a Transport Manager looking to join a growing engineering business in a newly created role where you will manage the transport function, support the team and help shape the department? You will work closely with senior management to improve processes and support the continued growth of the business. On offer is the chance to join an employee-centred company with proven record of internal promotion. This multi-disciplinary company provide a range of Plant and Haulage services UK wide, They are currently expanding and opening a new divisions within the business. In this role you will support the Transport Management team with daily fleet operations, vehicle maintenance, compliance and driver management, ensuring maximum fleet availability and safe, cost-effective operations. You will also assist with audits, reporting, accident investigations and compliance. This role would suit a transport manager looking to join an expanding business, work closely with your peers in management in a role with ongoing career development. The Role Oversee vehicle maintenance, repairs, MOTs, defects and PMI scheduling. Manage driver compliance, working hours, infringements and safe driving standards. Support cost control across maintenance and vehicle damage. Produce operational reports and assist with audits. The Person Transport Manager with a background in Fleet/Logistics or Similar Commutable to Uxbridge Reference:BBBH27464 Fleet Manager, Logistics Manager, Fleet Operations Manager, Transport Coordinator, Fleet, Planner, Haulage Manager Ealing, London, Bishop Stortford, Hertford, Slough, Epsom, Watford, Uxbridge, High Wycombe. If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. We are an equal opportunities employer and welcome applications from all suitable candidates. The salary advertised is a guideline for this position. The offered renumeration will be dependent on the extent of your experience, qualifications, and skillset. Ernest Gordon Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job, you accept the T&C's, Privacy Policy and Disclaimers which can be found at our website

Yolk Recruitment is supporting an established Welsh manufacturer in their search for a Multi-Skilled Engineer with a strong Electrical bias. This is an excellent opportunity to join a growing engineering team, playing a key role in maintaining production performance, improving equipment reliability, and supporting continuous improvement initiatives across the site. Working a rotating three-shift pattern covering mornings, afternoons and nights, you'll be responsible for keeping manufacturing operations running safely, efficiently and reliably through a combination of reactive maintenance, planned preventative maintenance, fault finding and engineering improvements. What You'll Be Doing As a Multi-Skilled Engineer, you'll work across electrical and mechanical systems to ensure plant performance is maintained at the highest level. Key responsibilities will include: Responding quickly to electrical and mechanical breakdowns to minimise production downtime. Diagnosing faults and carrying out repairs across production machinery, automated equipment and site services. Completing planned preventative maintenance (PPM) activities and inspections to a high standard. Carrying out mechanical maintenance and breakdown repairs as part of a multi-skilled engineering team. Identifying recurring equipment issues and supporting root cause analysis activities. Implementing corrective actions to improve reliability and prevent repeat failures. Working closely with production teams to maximise equipment availability and performance. Supporting engineering projects, machinery upgrades, installations and continuous improvement activities. Maintaining accurate maintenance records through the site's maintenance management system. Following safe systems of work, risk assessments, isolation procedures and LOTOTO processes. Contributing to high housekeeping, quality and safety standards across engineering and production areas. Supporting the development of engineering standards, maintenance procedures and best practices. What You'll Bring We're looking for a proactive maintenance engineer who enjoys fault finding, solving technical problems and improving equipment reliability. You'll ideally have: An Electrical Engineering qualification such as NVQ Level 3, City & Guilds, HNC/HND or equivalent. Previous maintenance engineering experience within manufacturing, production or industrial environments. Strong electrical fault-finding, diagnostics and repair experience. Good mechanical maintenance knowledge and practical experience. Experience working on industrial machinery, automated equipment and production systems. Knowledge of preventative maintenance principles and reliability-focused maintenance practices. A proactive approach to identifying and resolving issues before they impact production. The ability to prioritise workloads effectively in a fast-paced manufacturing environment. Excellent communication skills and the ability to work collaboratively with production colleagues. A strong commitment to health and safety, engineering standards and continuous improvement. Why You Should Apply Join a respected Welsh manufacturer with a strong heritage and growing operation. Work within a supportive engineering team where your ideas and improvements are valued. Gain exposure to a varied manufacturing environment with modern production equipment. Play a key role in reliability improvement and engineering enhancement projects. Attractive benefits package including pension scheme, company perks and generous annual leave. Long-term career stability with a business committed to investment and continuous improvement. Ready to Apply? If you're an electrically biased Multi-Skilled Engineer looking for your next challenge within a successful manufacturing environment, we'd love to hear from you. Contact Andy Jones at Yolk Recruitment for a confidential discussion. Please apply with an up-to-date CV outlining your engineering experience and suitability for the role. Know someone who could be a great fit? Ask about our referral scheme. We aim to respond to every application. However, due to the volume of applications received, if you have not heard from us within 7 days, unfortunately your application has not been successful on this occasion. Please continue to monitor our website for future opportunities.

Panel Wirer £30,000 - £33,000 + Bonus + Training + Progression Middlewich Are you a Panel Wirer looking for a new role with an expanding business that will provide in-house training to develop your career, upskill you on specialist electrical equipment, and offer multiple routes for progression alongside an annual company bonus? This market-leading engineering business manufacture bespoke equipment for a range of commercial and industrial clients UK wide. They build and supplying custom electrical assemblies, distribution equipment and switchgear. In this workshop-based position, you will work on projects of varying sizes, both independently and as part of a tight-knit team. As your skills and career develop, you will take on larger and more complex projects with increased responsibility. This role would suit Panel Wirer or someone looking to start their career with a company offering personal development, training and progression within a growing, expanding business. The Role Workshop based static position Reading, interpreting and working from schematic drawings Multiple opportunities for progression and technical development The Person Panel wiring/Electrical background or similar Level 2/3 Electrical qualification Seeking a junior role and progression Reference:BBBH27344 Electrician, Electrician's mate Panel, Wirer, Wireman, Installation, Engineer, Solar, Switchgear, Technician, Power, Control Panel, Panel Wiring, Trainee, Junior, Altrincham, Crewe, Middlewich, Stockport If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. We are an equal opportunities employer and welcome applications from all suitable candidates. The salary advertised is a guideline for this position. The offered renumeration will be dependent on the extent of your experience, qualifications, and skill set. Ernest Gordon Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job, you accept the T&C's, Privacy Policy and Disclaimers which can be found at our website.

Astute's Nuclear Team is partnering with a leading nuclear engineering and waste management organisation to recruit a Bid Manager / Tender Manager for its UK operations. The strategically important Bid Manager / Tender Manager role offers the opportunity to support complex nuclear engineering projects, leading tender activities from initial opportunity assessment through to bid submission. You'll play a key role in developing competitive, commercially robust proposals within a highly regulated industry. It offers a salary of 50,000 - 80,000, hybrid working model and other benefits including an enhanced pension and your birthday off! If you're an experienced Bid Manager or Tender Manager , with previous experience within the UK Nuclear sector and are looking to work for an organisation delivering specialist engineering and waste management solutions across the nuclear sector, then submit your CV to apply today. Responsibilities and duties of the Bid Manager / Tender Manager role Reporting to the relevant manager, you will: Lead and coordinate tender activities from initial opportunity review through to final submission. Develop and manage tender plans, ensuring submissions meet client requirements, deadlines and internal governance standards. Work closely with technical, commercial, operational and project teams to develop competitive proposals. Review tender documentation, specifications and contractual requirements to identify risks, opportunities and compliance requirements. Coordinate the preparation of technical and commercial submissions, ensuring accuracy, consistency and quality. Manage tender schedules, resources and stakeholder contributions throughout the bid process. Support pricing, cost estimation and commercial reviews to ensure proposals are competitive and commercially viable. Identify opportunities to improve bid processes, strengthen win strategies and enhance future tender performance. Professional qualifications We are looking for someone with the following: Proven experience in tender management, bid management or a similar commercial role. Experience coordinating complex tenders within engineering, nuclear, energy, waste management or another highly regulated industry. Strong understanding of commercial requirements, contract documentation and bid governance. Experience working collaboratively with multidisciplinary teams to develop technical and commercial proposals. Relevant qualifications in business, commercial management, project management or a related discipline would be advantageous. Personal skills The Tender Manager role would suit someone who is: Highly organised, with excellent planning and coordination skills. Commercially aware, with the ability to identify risks and opportunities. A confident communicator who can engage stakeholders at all levels. Detail-oriented, with a strong focus on quality, accuracy and compliance. Comfortable managing multiple priorities and working to tight deadlines. Proactive and collaborative, with the ability to influence and bring teams together to deliver successful bids. Salary and benefits of the Bid Manager / Tender Manager role Competitive salary of 50,000- 80,000 dependent on experience. Car allowance, bonus scheme and enhanced 8% pension. 25 days holiday + your birthday off, increasing incrementally with length of service Opportunity to work on complex and technically challenging projects within the nuclear sector. INDNUC Astute People are acting as an employment agency in relation to this vacancy. We do not discriminate on the grounds of age, race, gender, disability, creed or sexual orientation and comply with all relevant UK legislation. We encourage applications from individuals from all backgrounds but candidates must be able to demonstrate their ability to work in the UK. Astute is also committed to the government's Disability Confident Employer initiative. We endeavour to get back to everyone, however, if you have not heard anything after 7 days, please consider your application unsuccessful.

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.

At Engine by Starling, we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. Engine is software-as-a-service (SaaS) business, the technology that was built to power Starling, and two years ago we split out as a separate business. Starling has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success. We draw upon our experience as knowledgeable bankers, and best in class technologists to become the chosen option for these banks, and preferred partners for leading consultancies. Hybrid Working We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person About the role This role is pivotal within Engine's Product & Technology function, in making sure we understand the client needs and build the right products. We're looking for a Product Manager to join our Lending team to help shape our product in this domain. At Engine, our Lending domain covers our platform's existing and new lending products such as overdrafts, unsecured loans, mortgages and credit cards, as well as cross-cutting lending capabilities such as origination and collections. We're looking for versatile, adaptable individuals who enjoy the challenge of a varied and collaborative role. Prior experience in the lending domain is helpful, but not essential. You'll work closely with the Business Development, Customer Success and Engineering functions to design solutions that meet client needs and support our product strategy. You'll enjoy problem solving, getting to the detail, and understanding how clients can make the best use of our product, whilst designing ways to improve it. Your work will span product strategy, client-facing requirements gathering & solution design, and product ownership in an Engineering context. Your skills and what you'll get to do Navigating Ambiguity: You are entirely comfortable working in an environment where the starting point is clear but the long-term path is undefined. You stay grounded through shifting priorities, view an evolving landscape as a learning opportunity, and thrive within a flat structure. Backlog & Ticket Management: You can write clean, detailed, and unambiguous user stories and requirements issues with explicit acceptance criteria. Technical Literacy: You understand the basic architectural stack of a product area (e.g., frontend vs. backend, what an API does) and enjoy getting into the technical details with engineers. Basic Data Analysis: You are competent with (or ready to quickly master) product analytics tools (e.g., Mixpanel, Amplitude, PostHog, ) to track feature usage and leverage quantitative data alongside user feedback to make small-scale trade-offs. Clear Communication & Stakeholder Management: You can clearly explain the "what", "how", and "why" behind the immediate feature backlog to your engineering and design triad, and you confidently flag blockers early to your manager. Active Listening & Coachability: You place a heavy focus on self-development; you actively seek out feedback, take structured notes, and demonstrate visible behavioural changes based on input. Dependability & Handling Ambiguity: You are highly dependable, deliver assigned tasks on time, and remain comfortable navigating ambiguity within a flat, fast-moving team structure. Applications for this role will close on 19th October Requirements Professional Experience: 2 to 5 years of experience in a product management / owner role, engineering, data, business analysis, or highly analytical role, ideally within a fast-paced environment. Eager Learner: A massive appetite for learning, listening, and growing within an organisation that is constantly expanding (Great to have). FinTech Exposure: Prior experience or a strong baseline understanding of FinTech, or a regulated banking/lending environment (Nice to have). Technical Foundation: A product or engineering background, technical experience, or deep technical curiosity (Nice to have). Execution Track Record: Experience managing your own time effectively, meeting deadlines, and delivering well-scoped tasks with some guidance. Educational Foundation: A relevant bachelor's degree (or equivalent educational background) with a foundation in Maths or STEM subjects, would be desirable Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: 45 minutes with someone from the Product Management team 1 hour with two more people from the PM team, including a case study 45 minutes with two members of the senior product team. Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Engine by Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Engine by Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Engine by Starling and Starling will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.

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.