Data engineer jobs in United Kingdom

The Reliability Maintenance Engineering (RME) team at Amazon is fundamental to our operations – they’re the ones keeping vital machinery running at all times. As an RME Technician, you’ll maintain a wide range of equipment and workspaces while upholding Health and Safety best practices. You'll help to keep your colleagues safe and prevent machine downtime. Our RME Technicians boost the availability and quality of our equipment and work to enhance the operational environment too. Key job responsibilities • Proactive and preventative maintenance tasks on a wide range of site equipment, • Carry out reactive repairs and fault diagnosis in a live distribution warehouse, • Use the latest tools to maximise equipment effectiveness, • Uphold all health and safety policies and practices, • Support the development and progression of on-site apprentices, • Work on continuous improvement projects and roll out best practices across a range of EU sites A day in the life Our RME Technicians are based on-site, so they can respond quickly to any machinery issues. You’ll carry out a range of planned preventative maintenance to our sites’ equipment to make sure it’s working safely. You’ll respond promptly to breakdowns, investigation, finding, and implementing solutions as quickly as possible. You’ll also make suggestions for long-term improvements. Working alongside senior colleagues, you’ll undertake day-to-day maintenance tasks and will liaise with contractors if you need external expertise. You’ll work on a range of shifts to make sure our sites are supported around the clock – allowing Amazon delivery at speed. About the team Our Reliability Maintenance Engineering or RME team keep our equipment performing at its best. We're a technically minded team, made up of excellent team players and guided by experienced leaders. We work together to maintain, troubleshoot and repair equipment across our global network of fulfilment centres. Some of our people are leaders, who oversee the team as they work on exciting technology – some of which only exists at Amazon. From installing automated packaging systems to overseeing the general maintenance of a site to repairing key distribution equipment, our team handles most aspects of Amazon’s technical side. This includes keeping buildings legally compliant, so everyone is safe, and our sites are operating at maximum efficiency. There are lots of opportunities for progression, both within the RME team and more widely across Amazon. Everything we do focuses on reducing downtime in Amazon’s crucial operations sites, so customers get their orders on time. We often work during early or late hours to carry out maintenance with minimal disruption, including night shifts. If we spot a better way to do something, we have the skills and the opportunity to develop and introduce completely new processes or cutting-edge tech like Amazon Robotics and our Complex Item Sorter. • completed a 4-year UK certified apprenticeship, or NVQ Level 3/ SVQ Level 3/ IVQ Level 3/ City & Guilds Level 3/EAL Level 3 all specialized in Mechanical, Electrical or Mechatronics, • Relevant experience as a qualified engineer, • Relevant experience working in mechanical and/or electrical maintenance, • Advanced proficiency in the local language verbally and in writing, • Experience in condition-based monitoring, • Experience working with print and apply machines, • Experience in fault-finding and maintaining conveyor or automation systems Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (_) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit _ for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. null

Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. The Partner Solutions Architect (PSA) at NetApp is a senior technical enablement resource aligned to a defined set of strategic Channel Partners within the UKI region. This role is focused on developing, enabling, and influencing partner technical communities, ensuring partners are equipped to lead with NetApp solutions independently. The PSA does not function as a direct sales engineer or primary customer-facing resource. Instead, the role partners closely with Partner Managers and partner technical leadership to build NetApp mindshare, technical competency, and long-term partner capability across the NetApp portfolio. Success in this role is driven by partner engagement, technical readiness, and alignment to partner goals, rather than direct sales execution. Partner Enablement & Technical Leadership: • Serve as the primary technical enablement resource for assigned Channel partners within the UKI region., • Build a solution/Bill of Materials to enable a Partner to quote our technology stack, • Develop partner technical capability so partners can independently conduct technical discovery, solution positioning, and sales activities., • Build and maintain strong relationships with senior partner technical leaders, Pre-Sales Managers and partner-facing technical teams., • Influence partner technical strategy by aligning NetApp solutions to partner offerings and go-to-market motions. Partner Engagement & Programs: • Work closely with Partner Managers to plan and deliver technical enablement activities, including partner-focused QBRs, lunch-and-learn sessions, and technical workshops., • Design engagements that focus on educating and enabling partner technical teams, in addition to supporting individual deals from a technical lens., • Assess partner technical maturity and tailor enablement plans to close capability gaps, and influence Partners’ GTM and portfolio., • Provide ongoing compliance checks and where needed train technical Partner teams to ensure ongoing adherence with the Global NetApp Partner compliance program. Portfolio & Technical Guidance: • Educate partners on where and how NetApp fits within their portfolio and customer use cases., • Guide partners on positioning NetApp solutions effectively within their own offerings., • Support technical whiteboarding and solution discussions with partners when appropriate., • Ensure partners understand the full NetApp portfolio and how to leverage it across infrastructure, data management, and cloud use cases., • 5+ years of recent experience in enterprise infrastructure technologies, including storage, datacentre architecture, networking, and compute., • 5+ years of experience working with and enabling channel partners in a technical capacity, such as Sales Engineer, Channel Sales Engineer, or Solutions Architect supporting the channel., • Strong understanding of partner ecosystems and how partners position, sell, and support enterprise technology solutions., • A thorough understanding of major Customer imperatives and the appropriate technology drivers and trends, • Proven ability to communicate complex technical concepts clearly to technical and non-technical audiences., • Demonstrated ability to influence without authority and build credibility with senior technical stakeholders., • Comfortable operating in a matrixed environment across partner and internal teams. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.

White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We’re on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do • Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption, • Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy, • Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities, • Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business, • Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines, • Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery, • Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners, • Represent Capital One in external ML/AI technical forums, contributing to industry discussions, • Develop and advocate for strategies to proactively manage technical debt across ML/AI systems, • Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for • Deep expertise in Python and ML engineering, • Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures, • Track record of leading ML/AI technical initiatives across multiple teams, • Strong experience with cloud platforms (AWS, Azure, GCP), • Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG), • Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems, • Experience designing and scaling low-latency, customer-facing ML/AI architectures, • Proven experience setting a multi-team ML/AI technical vision and strategy, • Strong track record of technical leadership and influence without authority, • Experience driving ML engineering standards and best practices across organisations, • Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems, • Experience leveraging enterprise platforms to deliver business use cases at scale, • Experience of steering Communities of Practice or technical forums, • Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you • Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation, • We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers), • Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave, • Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: • REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies, • OutFront - to provide LGBTQ+ support for all associates, • Mind Your Mind - signposting support and promoting positive mental wellbeing for all, • Women in Tech - promoting an inclusive environment in tech, • EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry, • Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact _ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to _ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Software Development Engineer - Amazon Connect Job Title: Senior Software Development Engineer - Amazon Connect Location: Nottingham - Hybrid Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We’re on a mission to be a force for good in lending. Throughout our almost 30-year history, we’ve consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK’s Best Workplaces™ list. You can _about what it’s like working at Capital One UK. You and the Role The UK Connect team supports Capital One’s UK Contact Centre operation run using Amazon Connect Customer on Amazon Web Services (AWS). This team sits at a fantastic intersection between enabling a busy and thriving contact centre across voice and chat channels, while delivering on its own platform roadmap and ensuring we maintain a secure and stable service. The team currently consists of engineers, a Product Manager, a Software Engineering Manager, and an Application Architect. Working in and across tech teams is a natural part of our outcome-based culture, so you’ll have plenty of opportunity to talk, coach, learn, and deliver great outcomes for our customers. We’d be looking for you to set and maintain our engineering standards while also bringing your peers along with you on this journey. Please apply if you are keen to work with the following technology stack. You do not need to be an expert in all of these areas; we are primarily looking for excellent problem solvers with a strong willingness to learn and adapt to new technologies. • Node/TypeScript or Go for your primary software development., • AWS Serverless Ecosystem, using services such as Lambda, API Gateway, DynamoDB, and S3., • Amazon Connect Customer and our custom-built front-end portal that sits on top of it. If Connect is new to you, no problem, we can provide you all the training you need on how it works with the wider AWS ecosystem., • Jenkins for infrastructure as code and CI/CD pipeline management., • Monitoring & Logging tools to troubleshoot problems in a distributed network of systems, such as _ & NewRelic. And meet most of the following: • You possess production-grade experience of software engineering and knowledge of the software development lifecycle., • You enjoy leading by example, setting engineering best practices, and mentoring other engineers to broaden their skillsets., • You want to design and own software engineering development deployments from start to finish, thinking strategically about back-end architectural and design patterns., • You appreciate the sensitivity of customer data and enjoy baking quality into everything you do. Plus a focus on test-driven development and resiliency., • You enjoy automation and proactively managing system optimisations from identifying bottlenecks to participating in proactive incident management. (Note: There is also a chance to join our 24/7 on-call rota for extra pay)., • You enjoy hybrid working, with Tuesday, Wednesday, and Thursday in our bright offices. Where and how you'll work This is a permanent position based in our Nottingham office. We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday - Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant, and dedicated Learning Loft. What’s in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: • Wealth & Future: Competitive pension and performance-based bonus schemes., • Holidays: Start with 25 days of annual leave, increasing with tenure, with the option to buy 5 additional days., • Health: Access premium care through our private medical insurance., • Family Support: We champion your milestones with enhanced parental leave. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We value diversity, inclusion, and belonging at our core. We empower our associates to do great work by creating an inclusive culture—one that values diverse perspectives, fosters collaboration, and encourages innovative ideas. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups (including over 10 groups across our offices) offer a range of activities, networking opportunities, and support. These include: • REACH: Focusing on representation, retention, and engagement for associates from minority ethnic groups and allies., • Women in Tech & EmpowHER: Promoting an inclusive environment and developing future female leaders., • OutFront: Providing LGBTQ+ support for all associates., • Enabled: Supporting associates with disabilities and neurodiversity., • Mind Your Mind: Promoting positive mental wellbeing for all. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact _ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to _ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

White Collar Factory (95009), United Kingdom, London, London Senior Software Engineer Job Title: Senior Software Engineer Location: London - Hybrid Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We’re on a mission to be a force for good in lending. Throughout our almost 30-year history, we’ve consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK’s Best Workplaces™ list. about what it’s like working at Capital One UK. About the Role Working in and across tech teams is a natural part of our outcome-based culture, so you’ll have plenty of opportunity to talk, coach and learn with many great and diverse individuals. In this role, you will design, develop, test, and maintain software products that automate core business processes. You will walk in the shoes of our users, collaborating with Business, Technology, and Operations teams to build frictionless, high-impact solutions. Please apply if you are keen to work with the following technology stack. You do not need to be an expert in all of these areas; we are primarily looking for excellent problem solvers with a strong willingness to learn and adapt to new technologies: • Java (built with Gradle), makes up most of our services, although Typescript and Python can be found in the right places, • Cloud & AWS technologies, driving our journey into public cloud architecture, • Docker, for our containerised applications, • Jenkins, for continuous integration and deployment And meet most of the following: • You are passionate about creating products that produce good customer outcomes, • You enjoy working with other technologists, alongside product, design and other disciplines, • You want to contribute to new designs of new product iterations, thinking strategically about architectural decisions and can communicate well with stakeholders, • You appreciate the sensitivity of customer data and the resiliency, performance and security that demands, • You enjoy automation (unified deployment pipelines, automated testing) and aspire to automate all but the creative problem solving, • You want to develop yourself, with access to various support systems (learning, mentorship, conferences, progression) Where and how you'll work This is a permanent position based in our London office. We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. Our London office boasts a rooftop running track and coffee bar. What’s in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: • Wealth & Future: Competitive pension and performance-based bonus schemes, • Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days., • Health: Access premium care through our private medical insurance., • Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available_. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture—one that values diverse perspectives, fosters collaboration and encourages innovative ideas—and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact _ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to _ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

White Collar Factory (95009), United Kingdom, London, London Lead Android Engineer Job Title: Lead Android Engineer Location: London - Hybrid Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We’re on a mission to be a force for good in lending. Throughout our almost 30-year history, we’ve consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK’s Best Workplaces™ list. _ about what it’s like working at Capital One UK. You and the Role Working in and across tech teams is a natural part of our outcome-based culture, so you’ll have plenty of opportunity to talk, coach and learn with many great and diverse individuals. As part of our mobile platform engineering team, you will set the pace for multiple mobile engineering teams and take ownership of the fully native mobile apps that our customers love. Please apply if you are keen to work with the following technology stack. You do not need to be an expert in all of these areas; we are primarily looking for excellent problem solvers with a strong willingness to learn and adapt to new technologies. • Kotlin and Java, for writing well-factored, well-tested code in both the Android app and backend orchestration services, • Android Toolset, including Android Studio, to leverage the Android platform on a large enterprise scale, • Testing Frameworks, using JUnit, Espresso, and advocating for approaches like Pair Programming, TDD, and BDD, • AWS, utilizing cloud opportunities to maximize inner-sourcing and continuous improvement And meet most of the following: • You are passionate about creating products that produce good customer outcomes, • You enjoy leading a team of technologists, alongside product, design and other disciplines, • You want to design new product iterations, thinking strategically about architectural decisions and can communicate to stakeholders, • You act as a technical evangelist, evaluating technical risks while coaching and mentoring more junior engineers, • You appreciate the sensitivity of our customer data and the resiliency, performance and security that demands, • You enjoy automation (unified deployment pipelines, automated testing) and aspire to ‘automate all but the creative problem solving’, • You want to develop yourself, with access to various support systems (learning, mentorship, conferences, progression), • You enjoy hybrid working, with Tuesday, Wednesday and Thursday in our bright offices Where and how you'll work This is a permanent position based in our London office. We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday - Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. What's in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: • Wealth & Future: Competitive pension and performance-based bonus schemes, • Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days., • Health: Access premium care through our private medical insurance., • Family Support: We champion your milestones with enhanced parental leave., • A full list of our benefits is available here. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture—one that values diverse perspectives, fosters collaboration and encourages innovative ideas—and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programs to associates Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact _ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to _ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Join Our Team as a Senior Engineer – NVH/Acoustics!\n Location: Barrow-in-Furness (Full-time, on-site attendance required) \n Salary: Negotiable based on experience Who We Are\n At BAE Systems, you’re not just joining a company; you’re becoming part of a mission. As a valued member of our global network, you’ll leverage your unique skills to help pioneer progress and protect what matters most. Together, we’ll deliver advanced, technology-led defense, aerospace, and security solutions that shape a safer future for everyone. \n From the depths of the ocean to the far reaches of space, your career at BAE Systems has no limits! Your Role\n As a Senior Stealth Testing and Trials Engineer, you will play a crucial role in ensuring our submarines meet stealth performance targets through comprehensive noise and vibration measurements. Your work will span the entire lifecycle—from prototype testing to in-service support—while collaborating with stakeholders to influence design decisions and drive continuous improvement. Core Responsibilities\n\n • Conduct noise and vibration measurements (structure borne, airborne, and fluid borne) throughout the submarine lifecycle.\n, • Collaborate with internal and external stakeholders to provide critical noise and vibration data that guides design decisions.\n, • Mentor and develop junior engineers within the team.\n, • Perform equipment condition-based monitoring and diagnostics assessments.\n, • Identify technical challenges and opportunities for improvement, confidently challenging traditional approaches with innovative solutions.\n, • Adapt positively to changes in a dynamic environment.\nEssential Skills\n\n, • A STEM degree in Science, Technology, Engineering, or Mathematics.\n, • Proven multi-year experience in noise and vibration measurement, analysis, and reporting.\n, • Proficiency in at least one acquisition software (e.g., Siemens LMS, HBK Connect, Bruel & Kjaer).\n, • Ability to communicate technical findings to stakeholders with varying technical backgrounds.\nAbout the Stealth Engineering Department (NAVED)\n In our team, you’ll conduct stealth assessments from single equipment tests to large-scale transducer measurements during critical commissioning of one of the UK’s most complex platforms. As a senior engineer, you’ll mentor junior and graduate engineers while supporting growing program demands. We also offer relocation support across all Submarines roles, subject to eligibility criteria. Why Choose BAE Systems?\n Here, you’ll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You’ll be recognized for your contributions and enjoy rewards tailored to what matters most to you and your family, including support for your financial and personal well-being, as well as a balanced lifestyle. \n In an environment that embraces sustainable ways of working and a strong sense of shared purpose, our supportive culture is a place where you can feel you belong and be proud of the difference you make. A Place Where Everyone Can Thrive\n We’re committed to building an inclusive workplace where everyone feels valued and supported. We believe that a diversity of backgrounds, perspectives, and experiences strengthens our teams and is vital to the work we do. \n Important Note: Many roles at BAE Systems are subject to security and export control restrictions. Factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organization. All applicants must achieve at least the Baseline Personnel Security Standard, with many roles requiring higher levels of National Security Vetting. Closing Date\n 10th November 2026 \n We reserve the right to close this vacancy early if we receive sufficient applications. If you’re interested, please submit your application as early as possible! \n #LI-CB1 \n #LI-onsite

Join Our Team as a Senior Hardware Engineer (Test Systems)\n Location: Rochester, Kent \n Salary: Up to £57,000 depending on experience \n Flexible Working: Enjoy hybrid working arrangements with an office presence to foster collaboration and business success. Who We Are\n At BAE Systems, you’ll be part of something bigger. Join our global network of colleagues and bring your unique skills to help pioneer progress and protect what matters most. You’ll play a crucial role in delivering advanced, technology-led defense, aerospace, and security solutions that shape a safer future for everyone. Your Role\n As a Senior Hardware Engineer (Test Systems), you will: \n\n • Understand customer needs and collaborate with stakeholders to develop, validate, and manage complex requirements for new products.\n, • Apply your engineering expertise to design and develop innovative test solutions, tackling complex engineering challenges across various products like displays, controls, and mission computers.\nCore Responsibilities\n\n, • Integrate, analyze, and test real-time systems involving multiple technical disciplines (electronic, mechanical, optical, and software) in laboratory environments.\n, • Validate engineering data, analysis methodologies, and test results through rigorous modeling and audits.\n, • Provide realistic program status updates, identifying potential issues and opportunities for recovery.\n, • Liaise with internal and external stakeholders to ensure effective requirement capture and integration into engineering development phases.\n, • Manage technical work packages of test systems engineering tasks, ensuring collaborative execution and accountability.\n, • Coach and mentor fellow engineers to foster professional growth and technical excellence.\nEssential Skills\n\n, • Proven experience in developing test equipment in relevant product markets/domains.\n, • Extensive knowledge of the engineering lifecycle.\n, • Technical expertise gained through training and hands-on experience.\n, • Strong ability to engage and collaborate with a diverse range of stakeholders, including customers and suppliers.\nThe Electronic Systems Team\n Join a multi-disciplined, integrated project team dedicated to developing innovative Test Equipment solutions using cutting-edge technology. We welcome new ideas and approaches, supporting programs, repairs, and aftermarket services. This role offers a fantastic opportunity to be part of a diverse and growing team where your ideas are valued, with pathways for career advancement within BAE Systems. Why Choose BAE Systems?\n Here, you’ll build a career with purpose and limitless possibilities. With a focus on lifelong learning and meaningful work, you can grow your career with confidence and be empowered to excel. Enjoy tailored rewards that prioritize your financial and personal well-being, all while maintaining a balanced lifestyle. Our supportive culture embraces sustainable working practices and fosters a strong sense of shared purpose, making it a place where you can truly belong and make a difference. A Place Where Everyone Can Thrive\n We are committed to creating an inclusive workplace where everyone feels valued and supported. We believe that diverse backgrounds, perspectives, and experiences strengthen our teams and are vital to our mission. \n Important Note: Many roles at BAE Systems are subject to security and export control restrictions. Factors such as nationality and residency may affect eligibility for certain positions. All applicants must meet the Baseline Personnel Security Standard, with many roles requiring higher levels of National Security Vetting. Closing Date\n Applications will be accepted until 16th November 2026. We reserve the right to close this vacancy early if we receive sufficient applications, so don’t wait—apply early!

As a Senior Applied AI Engineer, you’ll take ownership of designing, building, and deploying advanced LLM-based and agentic systems that extract and reason over medical records and application data. Prompt & Context Engineering:.

Senior Machine Learning Engineer. As a Senior Machine Learning Engineer, you’ll take ownership of designing, building, and deploying advanced LLM-based and agentic systems that extract and reason over medical records and application data. Prompt & Context Engineering:.

What we are looking for \n As the Senior Electrical Solutions Engineer, you will be a key technical Subject Matter Expert (SME) within our Global Solutions Engineering team, helping shape innovative data center solutions for hyperscale, cloud and enterprise customers. You will transform complex customer requirements into resilient, scalable and commercially viable electrical designs, supporting some ... \n \n \n \n \n \n \n ZIPC1_UKTJ

AI & Power Platform Engineer \n £40,000–£90,000 | UK-wide | Hybrid | SC eligible \n Locations across London, Manchester, Newcastle or Edinburgh \n Who you'll be working with \n Join a leading technology consultancy's AI & Data practice, delivering enterprise-scale Microsoft Power Platform and AI solutions for major clients. \n You'll work alongside architects, engineers and business stakeholders to build secure, scal... \n \n ZIPC1_UKTJ

Quality managers opportunity at this established aerospace precision engineering company. \n • A hands-on position with real shopfloor visibility and influence \n • Ownership of an AS9100-aligned Quality Management System, with autonomy to improve it \n • Technical challenge across high-precision CNC machining, metal assemblies and test operations \n • Strong focus on metrology, FAIR/FAI and "right-first-time" delivery \n • A small, established Quality team to lead: Quality Engineer, Goods In/Out Inspector, First-Off Inspector \n • Early finish every Friday (12:45) with set day shifts \n The company is a specialist manufacturer providing complete manufacturing solutions to the Aerospace and Defence industries, specialising in metal structures and supporting major aerospace programmes with CNC-machined components and associated processes. Based in Watford, Hertfordshire, they reverse engineer and manufacture bespoke metal enclosures, chassis, cold plates and other liquid-cooled and sealed structures-taking products from initial design through to manufacture, processing and testing. \n The role \n We're looking for an experienced, hands-on Quality Manager with a strong precision engineering background to lead the Quality Management System and embed a "right-first-time" culture across CNC machining, metal assemblies and test operations. This role suits someone who enjoys being close to the process, confidently managing audits and customer requirements, and driving continuous improvement using data and technology. \n Key responsibilities \n • Own, maintain and continuously improve the QMS aligned to aerospace expectations (AS9100-aligned processes, traceability and controlled documentation) \n • Lead internal and external audits (customers, suppliers and third-party), ensuring actions are closed effectively and on time \n • Act as escalation point for quality issues: non-conformances, concessions/permits, containment, root cause (8D, 5-Why, Fishbone) and verification of effectiveness \n • Oversee inspection planning and product verification, including FAIR/FAI packs and production inspection reporting \n • Govern metrology capability and best practice, including effective use of CMM and inspection equipment \n • Implement and monitor quality KPIs (scrap, rework, returns/escapes, OTIF impact) and drive continuous improvement with Engineering and Operations \n • Manage document control and quality record retention in line with customer and regulatory expectations \n • Lead supplier quality management and requirements flow-down (certification, counterfeit avoidance, sub-tier control and change management) \n • Lead and develop the Quality team (Quality Engineer, Goods In/Out Inspector, First-Off Inspector), ensuring consistent standards and strong shopfloor engagement \n • Drive innovation within quality through digital tools, improved traceability and data-led reporting \n Required experience & skills \n • Significant Quality Management experience in precision engineering or machining (ideally aerospace/defence) \n • Strong working knowledge of FAIR/FAI requirements and inspection reporting \n • Strong understanding of traceability and batch/lot control \n • Proven non-conformance control and corrective action leadership \n • Solid understanding of metrology and dimensional inspection principles \n • Confident interpreting engineering drawings, GD&T and customer specifications \n • Experience working to aerospace quality requirements (e.g., AS9100-aligned systems) \n • Strong computer literacy and confidence using/developing quality systems and data-driven reporting \n • Confident communicator with customers, auditors, suppliers and shopfloor teams \n Desirable \n • Lead Auditor or Internal Auditor qualification (ISO 9001/AS9100) \n • Experience with complex metal assemblies, pressure/leak integrity, coatings/finishing, or test environments \n • Lean/Six Sigma tools and/or formal engineering qualification (HNC/HND/Degree) or equivalent experience \n Personal attributes \n • Detail-focused, pragmatic and production-aware \n • Structured and methodical problem-solver who drives actions through to effective closure \n • High integrity and discretion with confidential aerospace data \n • Visible leader on the shopfloor, coaching and setting standards \n This is a permanent job with a starting salary dependant on experience. You must have current UK right to work to be considered. HRGO are a recruitment agency supporting UK manufacturing. We aim to respond to all applications. \n

Shift Technician – £50,000 Location: Central London Salary: £50,000 Shift Pattern: Continental Days & Nights Site: Prestigious Commercial / Banking Environment Position: Permanent The Opportunity We’re recruiting for an experienced Shift Technician to join an established engineering team at a prestigious commercial banking site in Central London. You’ll be working within a modern, technically demanding building, helping to ensure critical building services and plant operate safely and reliably around the clock. This is an excellent opportunity for an engineer who enjoys working within a high-profile commercial environment and is looking for a stable shift position offering a £50,000 salary. What You’ll Be Doing Carry out planned preventative maintenance (PPM) and reactive maintenance Electrical and mechanical fault finding Respond to breakdowns and engineering emergencies Monitor critical plant and building infrastructure Maintain electrical systems including lighting, power and distribution Carry out routine checks on HVAC and mechanical plant Monitor and respond to BMS alarms Complete regular plant room inspections Identify potential faults before they develop into larger issues Support and oversee specialist subcontractors Complete PPM and reactive tasks through the CAFM system Ensure the building remains safe, compliant and operational Work closely with the wider shift team to deliver a high standard of service What We’re Looking For Electrical or Mechanical qualification – City & Guilds, NVQ or equivalent Previous commercial building maintenance experience Good knowledge of electrical and mechanical building services Strong fault-finding and problem-solving skills Experience working with HVAC and BMS systems Previous experience working a shift pattern Experience within banking, critical environments, data centres or large commercial buildings would be advantageous What’s on Offer? £50,000 salary Continental days & nights shift pattern Permanent position Static Central London site Prestigious banking environment Modern, technically demanding building Established engineering team Ongoing technical training and development * Long-term career progression If you’re an experienced Shift Technician, Electrical Shift Engineer, Mechanical Shift Engineer or Multi-Skilled Engineer looking for your next opportunity in Central London, we’d be keen to hear from you

Entity: Technology Job Family Group: IT&S Group Job Description: Role Summary We are seeking an experienced Senior Data Engineer to design, build and operate scalable data platforms, pipelines and products that enable data-driven decision making across Finance. This role combines strong software engineering practices with modern cloud data technologies to deliver trusted, secure and high-quality data products. The successful candidate will work closely with business partners, product teams, architects, data managers and analytics specialists to transform complex business requirements into robust data solutions. They will lead technical delivery, drive engineering excellence and help establish modern data engineering practices across the organisation. Key Responsibilities Data Platform and Engineering • Design, develop and maintain scalable data pipelines and integrations., • Build and operate cloud-based data platforms, data products and analytical datasets., • Develop reusable frameworks, automation and engineering patterns to accelerate delivery., • Ensure data solutions are secure, performant, resilient and cost-efficient., • Implement CI/CD, automated testing, monitoring and observability across data platforms. Solution Design • Translate business requirements into data models, pipelines and technical solutions., • Design logical and physical data models supporting reporting, analytics, AI and operational use cases., • Collaborate with enterprise and solution architects to align solutions with strategic technology standards., • Evaluate new technologies and recommend improvements to existing platforms. Data Management and Governance • Support implementation of data governance, quality, lineage and metadata management practices., • Ensure data assets meet applicable regulatory, audit and control requirements., • Drive improvements in data quality and trusted data consumption. Leadership and Collaboration • Provide technical leadership across delivery teams., • Mentor and coach data engineers and development teams., • Collaborate with Product Managers, Data Scientists, AI Engineers and Finance stakeholders., • Contribute to engineering standards, best practices and continuous improvement initiatives. Essential Skills and Experience Technical • Significant experience delivering enterprise-scale data engineering solutions., • Strong SQL and data modelling expertise., • Experience with cloud data platforms, with Azure experience preferred., • Experience building ELT/ETL pipelines and data integration solutions., • Strong software engineering practices, including source control, testing, CI/CD and automation., • Experience with big data, streaming and modern data architectures., • Knowledge of security, access controls and data governance requirements. What we expect: • Drive continuous optimization of data pipelines to improve performance and scalability, • Identify opportunities to reduce data volumes and optimize storage efficiency across the organization, • Lead initiatives focused on process efficiency and operational excellence, • Promote a data-driven culture by leveraging insights to support business decisions Preferred Experience • Finance, Treasury, Tax, FP&A or ERP data domains., • SAP, S/4HANA, Fiori or enterprise finance platforms., • Data products supporting AI, machine learning or generative AI use cases., • Experience with Databricks, Microsoft Fabric, Snowflake or comparable cloud data platforms., • Experience operating within Agile product teams. Why join us? At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving . Future Location Notice: This role will start in Sunbury, London. bp has announced a planned office move to Timber Square, London, with all positions currently advertised in Sunbury, including this one, expected to relocate around Q4 2027-Q1 2028. This presents an exciting opportunity for all employees and leaders to come together in one London location. The specific date of the move will be confirmed closer to the time. Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Critical Shift Engineer Heathrow \n £60,000 We have a brilliant opportunity for an Critical Shift Engineer to work on a critical site based in Croydon, offering the opportunity to work in a data centre, receive high voltage training and to offer additional internal opportunities. \n You will be working a continental shift pattern, (Days and nights) \n As an Electrical Engineer, you will ensure all PPM and reac... \n \n ZIPC1_UKTJ

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Junior / Trainee AI Data Engineer \n Salary £30,000 - £60,000 \n Get Certified, Get Noticed, Get Hired (No Experience Needed) \n Every AI tool, dashboard, and business decision relies on data, and employers are struggling to find enough qualified professionals. Experienced AI Data Engineers earn upwards of £58,000, and demand is growing as AI spreads across every sector. \n Newto Training's AI Data Engineer Care... \n \n \n \n ZIPC1_UKTJ

Location: Hybrid - London \n Salary: Up to £60,000 \n We're working with a growing technology consultancy looking for an experienced Data Engineer to design and deliver modern Azure-based data solutions for a range of enterprise clients. \n This is a customer-facing role where you'll work closely with clients to build scalable, secure data platforms while collaborating with a talented engineering team. You'... \n \n ZIPC1_UKTJ

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Senior Structural Engineer \n Industry: \n Contract Type: Fully remote \n Summary: \n We are seeking a Senior Structural Engineer with strong technical expertise, preferably chartered, to join a dynamic team focused on the design of data centres. The ideal candidate will have a solid background in structural engineering design, with proven experience working on data centre projects and a thorough understand... \n \n ZIPC1_UKTJ

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

We are currently seeking an experienced Senior Electrical Engineer to join a major data centre project. The Role\n\n • \n Lead and manage electrical engineering activities on site. \n • \n Coordinate electrical contractors and project teams. \n • \n Review drawings, specifications and technical documentation. \n • \n Oversee installation, testing and commissioning of electrical systems. \n • \n Ensure works are delivered safely, on programme a... \n\n \n ZIPC1_UKTJ

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

GCP Senior Data Engineer \n Location: Surbiton, Surrey (Hybrid – 1 day a week onsite)\n Salary: Up to £100k basic + Bonus + Benefits\n \n \nAt Exalto Consulting, we believe the best engineers want more than just another role.\n \n \n They want to solve interesting problems, work with talented people, have a voice in technical decisions and see the impact of their work.\n \n \n We're partnering with an organisation that is inv...\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n ZIPC1_UKTJ

Quantico Solutions Limited is a dynamic IT and technology company based in London, England, specializing in transforming AI and automation strategies into tangible business value. With a focus on data transformation, AI infrastructure, cloud migration, and intelligent automation, we combine strategic insight with technical expertise to deliver solutions that enhance efficiency, governance, and use... \n \n \n \n ZIPC1_UKTJ

We're looking for a talented Data Engineer to join a growing team in London, working on high-impact data projects for well-known UK brands. \n You'll design and build scalable data pipelines, work with cloud technologies, and turn complex data into trusted, usable assets. You'll have the opportunity to work across a variety of projects while exploring how Agentic AI is transforming data engineering. \n Wh... \n \n \n ZIPC1_UKTJ

What we are looking for \n As the Critical Facilities Maintenance (CFM) Day Engineer – Mechanical or Electrical, you will plan, manage and implement the delivery of Facilities Maintenance services to our Data Centers ensuring operational performance is always maintained to the highest possible standards. Provide engineering services and guidance in general on property matters affecting the on-going m... \n \n \n \n \n \n \n \n ZIPC1_UKTJ

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.