Trabajos data engineer en Reino Unido

Are you looking for new challenges and personal growth within Coca-Cola Europacific Partners? Then we have a great opportunity for you! Do you have a personality with the power to influence and connect? Can you sustain the pace to keep on growing? Will you make an impact with your desire to win? Reliability Engineer - Edmonton Contract - Permanent Closing date - 12th August 2026 Edmonton Operations produce 50 million cases of drinks per year across their 7 manufacturing lines. The site can produce up to 142,000 litres of drink every hour consisting of BIB, PET and Glass bottling. As a site Edmonton is single source production in GB for both Bag In Box and Oasis. The site employees over 250 people across Manufacturing, QESH, Distribution and Engineering. For the right candidate there is excellent career opportunities, both within the Edmonton Plant and further afield across other GB and Pan-European locations within the CCEP network. What to expect Reporting into the Maintenance Manager, the Reliability Engineer is a pivotal Site role and in partnership with your Asset Care Planner (ACP) you need to analyse and improve the equipment performance. Working in close partnership with the Production Manager it is graded as a Band 100 (professional banding) to reflect the level of responsibility, flexibility of hours and approach, plus the commitment required to deliver a demanding role in a Factory that operates 24/7. Key to the role are a number of core elements which you will be expected to master :- • The site currently operates its maintenance on 6 year life plans with modular and major overhauls. Your role with the ACP is the planning, scheduling and execution of these plans to ensure that line start up after overhaul, hits its targets for quality, safety and performance all within your budget (which you will have complete control of for your area)., • Reliability focuses on maintenance effectiveness and you will be expected to move the maintenance plans away from a check and inspect mentality to that of a measure and compare to a standard. To do this you will be expected to be able to organise maintenance improvement sessions using failure data, OEM’s and line teams to help design the best possible maintenance for your assets in order of criticality and using best practice reliability tools and techniques, • Act as a Safety role model and ensure all Quality, Environment, Health and Safety standards are fulfilled by CCEP and contractors, • Manage the annual Maintenance & Repair budget., • Lead coach and develop RCA’s. Measure the effectiveness of the countermeasures to ensure no re-occurrence., • Support the Engineering function on the development of investment projects and new initiatives., • Lead, develop and coach the Technicians to ensure they maximise their individual and team performance., • Manage the spare parts warehouse in an efficient way (high rotation, right safety stocks, handle write-offs, search of cheaper and reliable spares, etc), • Support the PM with analysis of performances losses and asset care KPI’s., • Skills & Essentials, • Understand the difference between reliability and maintenance, • Can demonstrate the implementation of reliability tools and techniques, • Can demonstrate effective planning and organisational skills required for major and minor overhauls, • NVQ Level 3 Mechanical/Electrical qualifications or equivalent., • Practical machinery maintenance within food processing environments with volatile demand, • Design asset care strategies, • Fluid with SAP PM and line information systems We are Coca-Cola Europacific Partners (CCEP) – a dedicated team of 42,000 people, serving customers in 31 countries, who work together to make, move and sell some of the world’s most loved drinks. We are a global business and one of the leading consumer goods companies in the world. We help our 2.1 million customers grow, and we are constantly investing in exciting new products, innovative technologies and fresh ideas. This helps us to delight the 600 million people who enjoy our drinks every day. From gender, age and ethnicity to sexual orientation and different abilities, we welcome people from all walks of life and empower unique perspectives. We recognise we’ve got some way to go, but we’ll get there with the support of our people. It’s them who drive our future growth. To find out more about what it’s like to work at and our culture we would welcome you to speak to one of our employees on our live chat platform, just click here to _ We recognise some people prefer not to participate in alcohol related sales, interactions, or promotions. If that’s true for you – please raise this with your talent acquisition contact who will advise you on whether this role includes activities related to our alcohol portfolio.

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 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.

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.

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.

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.

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:.

Following extensive global expansion over several years and a drive to standardise common systems and platforms globally, PL Re is undertaking a major back-office transformation programme and has established a Divisional Data Team to develop and manage an enterprise-wide data solution, reporting ser

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

Senior Data Engineer – Microsoft Fabric \n London | Hybrid – currently typically 2 days per month in London or Birmingham £65,000–£75,000 + 10% bonus + 7% pension + benefits \n If your Microsoft Fabric experience goes beyond building the initial solution and you've actually had to support, improve and live with what you've put into production, this role should be relevant. \n A UK Wealth Management business is... \n \n \n ZIPC1_UKTJ

Our client is a leading global investment bank. JOB DESCRIPTION\n \n Shape how hundreds of thousands of UK investors use data to make confident, informed investment decisions. Join a team building modern, cloud-native data platforms that enable analytics, regulatory reporting, and data-driven products at scale. You'll work with contemporary lakehouse and streaming patterns, strong engineering practices, ... \n \n \n \n \n \n ZIPC1_UKTJ

We are looking for an experienced Principal Electrical Engineer to provide technical leadership on major data centre and mission-critical projects across the UK and international markets. \n This is a senior role for an engineer with strong consultancy experience who can lead electrical design delivery, manage technical teams and engage confidently with clients and project stakeholders. \n Key Responsibil... \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.

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.

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.

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.

Rolling Stock Project Engineer - Multi Discipline \n Location: Central London Rate: £500 per day (umbrella) Contract: 6 months, with potential extension Start: ASAP \n We are currently recruiting for a Multi-Disciplinary Rolling Stock Project Engineer to join a Fleet Heavy Overhaul team, providing engineering support across the delivery of safe, compliant and assured rolling stock overhaul projects. \n The successful candidate will lead and support a range of engineering activities, working closely with internal and external stakeholders and coordinating engineering resources where required. \n Key Responsibilities \n\n • Lead and support rolling stock engineering activities across overhaul projects.\n, • Produce, review and analyse technical documentation.\n, • Apply relevant railway standards, legislation and operating requirements.\n, • Analyse complex technical data and provide reports and recommendations.\n, • Coordinate engineering resources and mentor junior engineers.\n, • Build and maintain effective relationships with stakeholders at all levels.\n, • Support testing, manufacturing and operation of rolling stock systems.\n, • Apply engineering, risk management and project lifecycle principles.\n, • Respond to emerging technical issues and agree appropriate actions with stakeholders.\n\n Essential Experience & Knowledge \n\n • Experience with Rail Vehicle Systems / Rolling Stock Engineering.\n, • Experience within rail, ideally London Underground or a similarly complex, safety-critical environment.\n, • Experience producing, reviewing and analysing technical documentation.\n, • Knowledge and application of relevant Railway Standards.\n, • Experience with rolling stock system design, testing, manufacturing and/or operation.\n, • Understanding of maintenance and overhaul requirements.\n, • Knowledge of risk management and engineering project lifecycle processes.\n, • Strong stakeholder management and communication skills.\n, • Experience mentoring or supporting junior engineers.\n, • Good knowledge of Microsoft Office; MS Project and Power BI would be advantageous.\n\n Qualifications \n\n • Engineering Degree or equivalent engineering qualifications/experience.\n, • Chartered Engineer status or equivalent.\n\n Disclaimer: \n This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

Overview AI is already making a real impact at Chambers and Partners, with solutions running in production across our editorial, research, product and commercial teams. We’re now looking for a Chief AI Engineer to lead our AI engineering function, own the technical direction of AI across the business and shape the next stage of our AI transformation. \n This is a deeply technical leadership role. You’ll be part of the Senior Leadership Team and be the final technical authority on how we build, evaluate, deploy and run AI: the AI architecture, modelling choices, engineering standards and evaluation discipline the team works to. You’ll have taken AI systems end to end many times over, from ideation and discovery through to deployment, monitoring and continuous improvement, and you’ll stay close enough to the code to solve the hardest problems yourself. \n Alongside this, you’ll help set our AI strategy and roadmap, advise our Executive Leadership Team on where AI creates the greatest value, and represent Chambers as a credible voice on AI in the legal market. Around 70% of the role is hands-on technical leadership and delivery; around 30% is strategic. Main Duties and Responsibilities \n Technical leadership and delivery (c.70%) \n\n • Own the end-to-end lifecycle of our AI solutions, from ideation, discovery and scoping through experimentation, production deployment, monitoring and iteration, measuring their impact against agreed business outcomes. \n, • Act as the technical design authority for AI, setting direction across architecture, model selection, data and retrieval strategies, fine-tuning, evaluation and deployment, and making the hard calls on whether to build, buy or not use AI at all. \n, • Stay hands-on: prototype, review code, pair on the hardest problems and personally lead the design of business-critical AI systems. \n, • Design scalable, secure and maintainable AI solutions in partnership with our Technology and Data Platform teams. \n, • Define and own evaluation frameworks for ML, LLM and GenAI outputs, covering accuracy, consistency, bias mitigation and regression testing, so that everything we release meets Chambers’ standards for rigour and independence. \n, • Establish production discipline across MLOps and LLMOps: experiment tracking, model registry, monitoring, drift management, observability and safe, structured and streamlined deployment. \n, • Lead, mentor and develop our AI engineering team, hiring strong engineers, raising the technical bar and creating an environment where people do their best work. Ensure high quality engineering practices, including code review and safe, structured and streamline deployment. \n, • Run delivery across multiple concurrent AI workstreams, managing cross-team dependencies with Product, Research, Commercial, Data and Technology teams. \n\n Strategic leadership (c.30%) \n\n • Shape and own the AI strategy and roadmap with the Chief Data and AI Officer, aligned with Chambers’ business and data strategies. \n, • Act as a senior adviser to the Executive Leadership Team on AI opportunities, risks and trade-offs, translating complex technical choices into clear, commercially grounded decisions. \n, • Establish prioritisation frameworks that balance innovation, research integrity, risk and commercial impact, and identify where AI can power new products, features and services. \n, • Partner with Research leadership to augment expert judgement with AI, improving the consistency, scalability and depth of our research outcomes. \n, • Keep Chambers ahead of developments in AI, evaluate and manage strategic partnerships with AI vendors and platforms, and represent Chambers externally as a credible voice on AI in legal market intelligence. \n\n Why you should apply \n This is a highly technical role with a seat on our senior leadership team. You won’t be advising on AI from the sidelines. You’ll sit alongside the leaders who set the direction of the business, bring a genuine engineering perspective to decisions about where we invest and how we compete, and see those decisions through to delivery. \n Few organisations can offer data like ours. More than 350,000 research interviews and surveys a year, and a deep, proprietary view of the global legal market, create problems that can’t be solved off the shelf. That’s a real chance to build AI that is genuinely differentiated, not a thin layer over someone else’s model, for a professional audience that relies on it being right. \n You’ll have the autonomy to set the standards, build the team and choose the approach, and the backing to make it happen. If you want senior-level influence without giving up the hard technical work, this is the role. \n Skills, Experience & Personal Attributes \n We’re looking for a Chief AI Engineer leader who has come up through data science, machine learning or software engineering and who combines deep modelling expertise with production engineering excellence. You’ll have taken many AI systems from ideation through to production and monitoring, and gone on to lead engineering teams and influence at senior leadership level. You’ll combine deep technical credibility with the gravitas to earn the confidence of engineers and senior leaders alike. \n You’ll bring: \n Essential \n\n • \n Significant experience in senior applied AI, ML or data science leadership roles, with a track record of owning AI end to end (ideation, discovery, experimentation, production deployment, monitoring and iteration) across multiple systems that delivered measurable business outcomes. \n\n\n • \n A data science foundation, applied for outcomes: framing the business question, setting baselines, choosing the right metric and delivering measurable results rather than just models. This comes with statistical rigour: experimental design, sound validation, and an instinct for leakage, bias and overfitting in messy real-world data. \n\n\n • \n Strong ML fundamentals across classical ML and deep learning (pandas, scikit-learn, XGBoost or LightGBM, PyTorch), and the judgement to tell when a language model is the wrong tool. \n\n\n • \n A deep understanding of how modern models are built, not only how they’re used: transformer architectures, pre-training and post-training methods (SFT, RLHF/DPO) and evaluation methodology. You will have fine-tuned models yourself, for example with the Hugging Face ecosystem (Transformers, PEFT/LoRA, TRL), and can explain from first principles why a system fails. \n\n NLP depth on long-form professional text: class

Are you ready for that next step in your career? Perhaps you are looking for that next challenge? \n \n Here at GXO, we are currently recruiting for a Warehouse Shift Manager to join our team in Enfield, supporting our customer, Iceland. As Warehouse Shift Operations Manager, you will lead and manage our multi-temperature warehouse operation. You will help ensure safety, efficiency, compliance and performance across the site, while supporting continuous improvement and keeping key stakeholders informed through clear updates. \n \n This is a full time, permanent position, working an any 5 from 7 rotating shift pattern of 06:00 till 14:00 and 14:00 till 22:00. \n \n Pay, benefits and more: \n \n We’re looking to offer a salary of up to £48,000.00 per annum, and 33 days annual leave (inclusive of bank holidays). Your benefits package includes a company sponsored pension scheme, private medical & dental insurance, a 24/7 online GP service, life assurance and a fully comprehensive employee assistance programme. You’ll also have access to our MyBenefits platform offering a variety of high street discounts, a cycle to work scheme, cashback cards, a saving scheme and much more! \n \n What you’ll do on a typical day: \n \n\n • Act as a key point of contact and decision maker for operational issues during your shift\n, • Identify and resolve operational risks, supporting effective planning and contingency arrangements\n, • Analyse and interpret business data to drive operational excellence and deliver key performance indicators\n, • Lead, direct, and influence teams through clear communication and visible leadership\n, • Support and develop team members through coaching, feedback, and clear development plans\n, • Promote a culture of safety, engagement, continuous improvement, and high standards\n\n \n What you need to succeed at GXO: \n \n\n • Experience within warehouse management\n, • The ability to create a supportive and motivating work environment\n, • Strong problem-solving skills, with the ability to identify risks and implement practical solutions\n, • Confidence using data to identify improvement opportunities and deliver action plans\n, • Experience leading change and role-modelling the behaviours required to maintain high standards\n, • A collaborative approach and the ability to build effective working relationships\n, • Experience working with Trade Unions\n\n \n We engineer faster, smarter, leaner supply chains. \n \n GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make GXO a great place to work. GXO is an equal opportunity employer. We celebrate, support and thrive on diversity and are committed to creating an inclusive environment for all employees. We believe that diversity and inclusion in our business is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. We are an Armed Forces friendly organisation and Disability Confident Leader as part of the Disability Confident Scheme (GIS) and actively welcome applications from people with disabilities. \n \n The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement

\n Principal Data EngineerHounslow, West London (Hybrid) | £110,000 + BenefitsThis is an opportunity for a technically strong Principal Data Engineer to combine hands-on engineering with leadership, mentorship, and strategic influence. You'll work on large-scale, commercially critical data platforms while helping shape engineering standards across a growing data function.The CompanyThey are a large, data-driven organisation investing heavily in modern data capabilities and engineering excellence. Operating within a federated data model, they have embedded data teams working closely with business stakeholders to deliver impactful data products. The environment offers exposure to complex datasets, modern cloud technologies, and the opportunity to influence data engineering at scale.The RoleYou will provide technical leadership while remaining actively involved in engineering delivery and platform development.Responsibilities include: \n\n • Leading the design, development, and optimisation of scalable data platforms and pipelines.\n, • Driving best practices across Data Engineering, Software Engineering, and DevOps.\n, • Working extensively with AWS, Snowflake, and dbt.\n, • Troubleshooting complex technical challenges and supporting teams to unblock delivery.\n, • Coaching, mentoring, and managing engineers to develop technical capability.\n, • Influencing engineering standards and continuous improvement initiatives.\n, • Collaborating with stakeholders across technology and business functions.\n, • Supporting the development of reliable, secure, and high-performing data products.\n, • Contributing to technical strategy and platform evolution.\n\n Your Skills & Experience \n\n • Strong commercial experience in Data Engineering or a related engineering discipline.\n, • Expertise with AWS and cloud-native data platforms.\n, • Hands-on experience with Snowflake and dbt.\n, • Strong software engineering and data architecture fundamentals.\n, • Experience building and supporting production-grade data solutions.\n, • Knowledge of CI/CD, automation, testing, monitoring, and DevOps practices.\n, • Experience leading technical initiatives and influencing engineering standards.\n, • Strong communication and stakeholder management skills.\n, • Proven ability to mentor, coach, and develop engineering talent.\n\n What They Offer \n\n • Salary of £110,000 plus benefits.\n, • Hybrid working with three days per week onsite in Hounslow.\n, • Opportunity to shape engineering standards across a growing data organisation.\n, • Exposure to large-scale, business-critical datasets and complex technical challenges.\n, • Leadership responsibility with a blend of hands-on engineering and team development.\n, • Long-term career progression within a modern data environment.\n\n How to ApplyIf you're an experienced Principal Data Engineer looking for a role that combines technical depth, leadership, and strategic influence, apply today to find out more. \n

Design Engineer - Rail \n Location: Wimbledon or Basingstoke - 3 days per week in the office Contract: 6 months rolling Rate:£440 per day (umbrella) Inside IR35 \n We are currently recruiting for an experienced Design Engineer to support the development of rail infrastructure proposals from initial feasibility through to detailed design. \n The successful candidate will be responsible for developing engineering solutions that are safe, technically robust, deliverable and aligned with programme, cost and quality requirements. \n Key Responsibilities \n\n • Lead the engineering development of allocated proposals from initial remit through to project completion.\n, • Develop and evaluate engineering options, considering safety, reliability, operational capacity, maintainability, construction and environmental requirements.\n, • Ensure engineering proposals comply with relevant standards and requirements.\n, • Act as a Contractor's Responsible Engineer (CRE), subject to relevant competence and authority.\n, • Undertake and support risk identification and assessment, including appropriate engineering risk methodologies.\n, • Manage engineering scope and change control, assessing impacts on cost, time and performance.\n, • Support the selection and development of preferred engineering options.\n, • Prepare engineering data and documentation required to progress schemes into detailed design.\n, • Support the CDM Principal Designer through relevant project stages.\n, • Manage engineering interfaces across multiple disciplines and programmes.\n, • Monitor and assess consultants and contractors throughout the development stages.\n, • Ensure engineering activities meet required standards for safety, quality, cost and programme.\n, • Provide technical support and respond to design queries and clarifications.\n\n Essential Requirements \n\n • Engineering degree or equivalent industry-recognised qualification/training.\n, • IRSE Principles Designer licence or equivalent asset-specific qualification.\n, • Strong rail engineering experience, ideally with experience in a principal engineering discipline.\n, • Demonstrable experience in engineering option development and evaluation.\n, • Strong decision-making and problem-solving skills.\n, • Good understanding of rail infrastructure and its lifecycle stages.\n, • Experience with CDM, risk assessment and external audit requirements.\n, • Excellent communication and stakeholder management skills.\n, • PTS essential.\n, • Ability to work effectively across multidisciplinary teams.\n\n Desirable \n\n • Membership of a relevant engineering professional institution.\n, • Experience across design, installation and maintenance.\n, • Formal risk identification and assessment qualifications.\n, • Six Sigma Green Belt.\n\n CV deadline: 15 October at 12pm. \n Disclaimer: \n This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

Junior Geotechnical Engineer - London Salary: £28,000 - £34,000 A leading UK multidisciplinary engineering consultancy is looking to appoint a Junior Geotechnical Engineer to join its established team in London. With a strong reputation for technical excellence and sustainable engineering solutions, the business works across a diverse range of civil engineering and infrastructure projects. Its geotechnical team delivers services spanning ground investigation, desk studies, geotechnical design, foundations, earthworks, retaining structures and site monitoring. As a Junior Geotechnical Engineer, you'll support experienced engineers with ground investigations, interpretation of soil and rock data, technical reporting, desk studies and geotechnical design. You'll gain valuable site and office experience while working within a collaborative, multidisciplinary environment. What's on offer Competitive salary (£28,000 - £34,000) and flexible benefits Generous annual leave Contributory pension, healthcare and life assurance Professional training, development and support towards qualifications Bonus opportunities and interest-free travel loan Flexible/hybrid workingRequirements Degree in Civil Engineering, Geotechnical Engineering, Engineering Geology, Earth Science or a related discipline Some relevant graduate, placement or project experience in Geotechnical Engineering is desirable Strong analytical, communication and organisational skills Full UK driving licence Full right to work in the UK Must live in or near London and be able to commute to the officeIf you're an enthusiastic Junior Geotechnical Engineer looking to develop your career with a respected consultancy, this could be an excellent opportunity. If you are interested in this or other Environmental Engineering/Remediation roles please do not hesitate to contact Beth Young on (url removed). We have many more vacancies available on our website. Please refer to (url removed). This is a permanent role. Penguin Recruitment is operating as a Recruitment Agency in respect to this position

We're looking for a Senior Software Engineer to join a growing AI team and take ownership of the application and integration layer behind a new generation of AI-powered products. This is a genuinely full-stack engineering role, combining production-grade backend development, API design, AI integrations and frontend engineering. You'll work across the full application lifecycle, designing the services and interfaces that connect AI capabilities to the products customers and colleagues use every day. You'll play a key role in building MCP integrations, agent-to-agent connectivity and robust API services, while also developing responsive, accessible interfaces in React and TypeScript. What you'll be doing Own the application and integration layer of AI products end to end, covering APIs, integrations, service boundaries and frontend development. Design, build and maintain MCP servers that safely expose systems, content and tooling to AI agents. Develop agent-to-agent connectivity, including message contracts, state management, retries and failure handling. Design clear, scalable APIs using REST and/or GraphQL, including authentication, authorisation, versioning and streaming interfaces such as SSE or WebSockets. Build production frontend applications using React, TypeScript and JavaScript. Work closely with UX and product teams to turn designs into accessible, responsive and intuitive interfaces. Develop AI-specific user experiences including streaming responses, citations, source information, agent/tool progress and graceful error handling. Integrate with internal platforms and third-party services, considering security, scalability, performance and reliability. Establish automated testing across backend and frontend applications, including unit, contract and end-to-end testing. Work with the platform engineering team on deployment, observability, logging, tracing and operational readiness. Act as the technical owner for the application and integration layer, making and documenting key architectural decisions. Provide technical guidance, code reviews and mentoring to other engineers. You should have: Strong commercial experience with Python for backend and integration development. Strong TypeScript/JavaScript and React experience building production applications. Strong API design experience, including REST and/or GraphQL, authentication, authorisation, versioning and streaming. Hands-on experience with MCP (Model Context Protocol) or comparable tool/plugin integration technologies, alongside an interest in AI agents and agent-to-agent connectivity. Solid experience with AWS, ideally including services such as Lambda, ECS, API Gateway, S3, CloudFront, Cognito and IAM. Experience designing and operating distributed or event-driven systems. A strong understanding of observability, testing and CI/CD practices. Experience working with data platforms or stores such as MongoDB, OpenSearch or Databricks. Experience integrating internal systems and third-party services securely and reliably. Experience working closely with designers to deliver production-quality frontend applications. A good understanding of accessibility and frontend performance. Experience with RAG, AI agents, tool use or other generative AI application patterns would be advantageous, although deep ML expertise isn't required. This is an opportunity to have genuine ownership over how AI capabilities become usable, scalable software products. You'll be joining an AI-focused engineering environment where you can work at the intersection of software engineering, APIs, cloud infrastructure and generative AI, while helping establish the engineering standards and architecture that will support future products. If you're a senior engineer who enjoys moving between backend architecture and frontend delivery, wants ownership rather than simply a list of tickets, and is excited about where AI agents and modern application architecture are heading, we'd love to hear from you. INDLON 52212MSR The Portfolio Group are acting on behalf of our client in recruiting for this position

Key responsibilities Design, build and maintain GCP infrastructure using Terraform Build and manage CI/CD pipelines (Cloud Build, GitHub Actions, GitLab CI or Jenkins) Deploy and run containerised workloads on GKE and Cloud Run Set up landing zones, resource hierarchy, networking (VPC, Shared VPC, Interconnect/VPN) and IAM Apply security best practice: least-privilege IAM, VPC Service Controls, Secret Manager, KMS Implement monitoring, logging and alerting with Cloud Monitoring and Cloud Logging Support migration of workloads from on-premise or other clouds into GCP Optimise cloud cost and performance Produce clear documentation and hand over knowledge to the client team Essential skills and experience [4]+ years' cloud engineering experience, with at least [2] years hands-on in GCP Strong Terraform skills, including module design and remote state management Solid experience with Kubernetes (GKE) and Docker Good knowledge of core GCP services: Compute Engine, Cloud Storage, Cloud SQL, Pub/Sub, IAM, VPC CI/CD pipeline build and automation Scripting in Python, Bash or Go Linux administration and networking fundamentals Track record of delivering as a contractor in client-facing environments Desirable Google Cloud Professional Cloud Architect or Professional Cloud DevOps Engineer certification Experience with BigQuery, Dataflow or other GCP data services Policy-as-code or security tooling (OPA, Forseti, Security Command Center) Helm, Argo CD or other GitOps tooling Experience in [client sector, e.g. financial services or public sector] Engagement terms This role has been assessed as outside IR35. You'll work through your own limited company, control how and when the work is delivered against agreed outcomes, and be able to provide a substitute where appropriate. A Status Determination Statement is available on request. TPBN1_UKTJ

Digital Construction Engineer - Main Contractor Location: London - Office & Project Based Sector: Main Contracting / Construction Employment: Permanent Salary: Competitive + Car/Car Allowance + Excellent Benefits We are working with a leading UK main contractor looking to appoint a Digital Construction Engineer to join its London business. This is an excellent opportunity for someone with experience in Digital Construction, BIM and Information Management to work across major construction projects throughout London. The successful candidate will play a key role in implementing and managing digital construction processes across projects, working closely with operational, design and project teams to ensure information is effectively captured, coordinated and managed throughout the project lifecycle. The Role As Digital Construction Engineer, you will be responsible for supporting and managing the implementation of digital construction and information management processes across multiple projects. Key responsibilities will include: Managing project information models and ensuring information is effectively shared across project and client teams Supporting project teams with BIM and digital construction processes Ensuring project information management procedures are aligned with ISO 19650 Managing and reviewing model coordination and mobilisation plans Ensuring project teams and supply chain partners correctly utilise the Common Data Environment (CDE) Reviewing BIM models to ensure the required graphical and non-graphical information is being delivered Managing model federation and clash detection/coordination Supporting the development and maintenance of BIM Execution Plans (BEP) Contributing to Master Information Delivery Plans (MIDP) and Task Information Delivery Plans (TIDP) Establishing and maintaining compliant digital workflows across projects Supporting digital processes throughout design, construction and project handover Working closely with project teams to resolve technical issues relating to digital tools and systems Supporting field data capture, QA/QC and project information management Providing training and support to project teams on digital construction tools and applications Capturing and sharing best practice and lessons learned across projects Supporting ISO 19650 and information management audits Working alongside wider digital, IT, design and operational teams to continually improve digital project delivery Experience Required We are looking for someone with a strong understanding of digital construction and BIM within the construction industry. Ideally, you will have experience across: Digital Construction / BIM ISO 19650 Common Data Environments (CDE) BIM Execution Plans Model federation and management Clash detection and model coordination 3D model environments 4D planning and/or 5D forecasting COBie and project handover information Field data capture QA/QC processes MIDP and TIDP processes Supporting and training project teams in digital tools and technology You should have previous experience working within construction, engineering or a related environment, ideally with a main contractor. A construction-related degree or equivalent industry experience would be advantageous. The Package The successful candidate will receive a competitive salary alongside an excellent benefits package, which includes: Company car or car allowance Private healthcare Life assurance 26 days' annual leave Additional wellbeing days Volunteering day Flexible benefits Ongoing personal and professional development This is an excellent opportunity to join a major contractor with a strong London project pipeline and play an important role in the continued development and implementation of digital construction across its projects. For further information or a confidential conversation, please get in touch