Ai engineer jobs in United Kingdom

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.

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.

Position: Senior Machine Learning Engineer Department: Growth & Customer Experience Engineering Reporting to: Technology Manager Location: Bristol/London Hybrid Role: 3 days a week from office & 2 days working from home Full Time / Part Time Role: Full time Ready for a Challenge?\n Welcome to Just Eat Takeaway.com, a leading global online food delivery platform where we empower everyday convenience! Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery, and convenience partners worldwide. About This Role\n We’re on the lookout for a Senior Machine Learning Engineer to join our dynamic cross-functional team. Your mission? To enhance our product algorithmic recommendations and drive innovation within Just Eat Takeaway.com. \n In this role, you’ll: \n\n • Lead the evolution of existing machine learning and AI capabilities across our platform.\n, • Write highly scalable and testable code while mentoring fellow engineers.\n, • Collaborate with a variety of teams, both internal and external, as we embrace inner-sourced development.\n\n At Just Eat Takeaway.com, ownership is key. You’ll take responsibility for your work from discovery to production, ensuring the ongoing reliability and stability of our systems. This is your chance to lead, deliver, and care for cutting-edge ML systems that impact millions of customers daily! Your Key Responsibilities\n\n • Collaborate with Data Scientists, Product Managers, and Backend Engineers to bridge the gap between model development and production systems.\n, • Lead the architectural design of end-to-end ML systems, from data ingestion and training pipelines to real-time inference and monitoring infrastructure.\n, • Transform innovative data science prototypes into robust, scalable, and secure production software.\n, • Drive the adoption of MLOps best practices to accelerate the feedback loop for Data Scientists.\n, • Communicate the complexities of ML systems to both technical and non-technical stakeholders.\n, • Build and maintain a strong network across Data and Engineering organizations.\n, • Lead projects, mentor peers, and advocate for engineering excellence within the data science domain.\nWhat Will You Bring to the Team?\n\n, • Proficiency in Python and a solid understanding of software engineering principles applied to Machine Learning.\n, • Experience designing and operating ML systems in production, including familiarity with serving patterns.\n, • Knowledge of orchestration tools and cloud-native ML platforms.\n, • Ability to influence decision-making regarding infrastructure and tooling.\n, • Strong knowledge of Infrastructure as Code and containerization.\n, • Familiarity with data engineering fundamentals to debug and optimize data flows.\n, • A proactive mindset to automate manual processes and improve the developer experience for Data Scientists.\nAt JET, This Is How We Play\n Our teams forge connections internally and collaborate with some of the best-known brands globally, giving us a truly international impact in a dynamic environment. Fun, fast-paced, and supportive, the JET culture is all about movement, growth, and celebrating every aspect of our JETers. Thanks to them, we stay one step ahead of the competition! Inclusion, Diversity & Belonging\n No matter who you are, what you look like, who you love, or where you come from, you can find your place at Just Eat Takeaway.com. We’re committed to fostering an inclusive culture that encourages diversity of thought and experience, ensuring all employees feel they truly belong and can bring their most colorful selves to work every day. What Else Are We Delivering?\n Curious to learn more about our JETers, culture, or company? Explore our career site for stories, blogs, podcasts, and more insights into life at JET. \n Are You Ready to Join the Team? Apply Now! \n #KF-LI1

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. Boston Consulting Group is an Equal Opportunity Employer.

Our client is a global professional services and technology consultancy. \n YOU ARE \n You are a a strong individual contributor knowledge engineer growing into a team lead. You are well versed in the full knowledge graph development lifecycle. You formulate real-world problems into practical, efficient, scalable AI and Knowledge Graph solutions, working hands-on across the lifecycle from ingestion throug... \n \n \n ZIPC1_UKTJ

Systems & Cloud Engineer \n We’re on the lookout for a highly technical Systems & Cloud Engineer who is excellent in managing cloud solutions and implementing design practices for a prestigious US law firm in the heart of the City. This hands-on technical role, will help architect, secure, and operate the firm’s Azure platform while maintaining critical hybrid infrastructure services. \n\n • Salary to £70,000\n, • Hybrid working (3 days office / 2 days remote)\n, • Free in-office lunch once a week\n, • Monthly £100 employee contribution\n\n Systems & Cloud Engineer Key Responsibilities: \n\n • Develop and deliver cloud infrastructure strategies that support business objectives across Azure, SaaS, and on-premises environments\n, • Design, implement, and maintain enterprise Azure landing zones, governance frameworks, networking, and multi-subscription architectures\n, • Deploy, manage, and optimise Azure IaaS and PaaS services, ensuring scalability, resilience, security, and operational excellence\n, • Lead cloud migration and modernisation initiatives, including assessment, planning, execution, and decommissioning of legacy infrastructure\n, • Design and support secure hybrid connectivity, networking, and identity services across Azure, Active Directory, Microsoft Entra ID, and on-premises environments\n, • Implement and maintain security, compliance, monitoring, and governance controls aligned with Zero Trust principles and organisational standards\n, • Provide technical leadership, escalation support, and operational oversight for core enterprise infrastructure, including VMware, Windows Server, Active Directory, DNS, and DHCP\n, • Drive infrastructure design, capacity planning, performance optimisation, root cause analysis, and continuous service improvement\n, • Participate in an on-call rota and collaborate across teams to maintain service availability and resolve critical incidents\n\n Systems & Cloud Engineer Skills & Requirements: \n\n • 5+ years of hands-on experience designing, deploying, and operating Microsoft Azure in an enterprise environment\n, • Experience operating in a highly regulated environment (Legal or Financial Servies) is essential\n, • Infrastructure-as-Code and automation experience (Terraform and/or equivalent; PowerShell scripting)\n, • Experience supporting Microsoft 365 services; familiarity with Purview concepts (eDiscovery, retention) strongly preferred\n, • Familiarity with Microsoft Fabric and AI-enabled productivity/security concepts (e.g., Copilot)\n, • Relevant certifications (e.g., Azure Administrator, Azure Solutions Architect Expert, Terraform) preferred\n

Our client is an online travel company. \n Why our client? \n We're on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. \n Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers ... \n \n ZIPC1_UKTJ

An AI Python Engineer is required to join a Fintech company developing next generation tools for how companies get funding and optimise their working capital. \n\n \n \n Our client aims to change how corporate finance works, by replacing static, limited and often stale financial metrics with live data-driven insights sourced from direct connections to their clients' systems.\n \n \n \n \n \n You will be joining a strong team ...\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n \n ZIPC1_UKTJ

Our client is a global professional services and technology consultancy. \n YOU ARE \n You are a a strong individual contributor knowledge engineer growing into a team lead. You are well versed in the full knowledge graph development lifecycle. You formulate real-world problems into practical, efficient, scalable AI and Knowledge Graph solutions, working hands-on across the lifecycle from ingestion throug... \n \n \n ZIPC1_UKTJ

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

Our client is a digital and technology consultancy serving the public sector. \n Work on exciting public sector projects and make a positive difference in people's lives. We thrive on solving complex challenges through creative thinking and the latest tools and tech. \n As a Machine Learning Engineer,AI, you'll be responsible for researching, developing, and testing new AI algorithms, models, and technol... \n \n \n ZIPC1_UKTJ

Principle Cloud Engineer \n\n • Salary to £65k (neg.)\n, • Role can be fully remote, with paid travel to client site (most likely in London) as required.\n\n This company is a Workflow & AI Orchestration Specialist. They're on a mission to modernise how public sector organisations manage casework, derive insight from data and deliver citizen services. \n They operate across two pillars: Advise and Implement to provide... \n \n ZIPC1_UKTJ

AI & Power Platform Engineer \n £40,000–£90,000 | UK-wide | Hybrid | SC eligible \n Who you'll be working with \n Join a leading technology consultancy's AI & Data practice, delivering enterprise-scale Microsoft Power Platform and AI solutions for major clients. \n You'll work alongside architects, engineers and business stakeholders to build secure, scalable applications and automations that solve real business ... \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.

Google Cloud Platform Developer/Architect - Contract Location: London - 5 days on-site Contract: 6 months initially, with potential extension Start Date: Immediate IR35 Status: Inside IR35 Damia Group is a specialist Talent Solution Provider partnering with leading organisations across technology, financial services, defence and other highly regulated industries. We are currently supporting a major organisation with the appointment of an experienced Google Cloud Platform Architect to join a high-performing engineering and cloud platform team. This is an excellent opportunity for an experienced Cloud Architect / Platform Engineer to work on complex, enterprise-scale cloud-native environments, influencing architectural decisions and helping shape cloud engineering standards across multiple teams. The role requires someone who can combine deep hands-on engineering expertise with strong architectural thinking, while being comfortable working with senior technical stakeholders and influencing technology strategy. Key Responsibilities Architect and deliver complex, creative software and cloud solutions, applying strategic thinking to ambiguous technical problems and influencing architectural decisions across teams. Develop secure, high-quality production code and actively review, debug and improve code produced by other engineers. Lead architectural design for cloud-native systems and services, producing comprehensive RFCs, ADRs, architecture diagrams and other technical design documentation. Drive operational excellence by identifying patterns in system failures, operational metrics and data, implementing improvements to reliability, performance and observability. Lead technology and vendor assessments, conducting technical deep dives and evaluating architectural approaches, technical capabilities and emerging technologies. Help develop engineering communities of practice, promoting cloud-native technologies, engineering standards and best practices. Mentor junior and mid-level engineers through code reviews, technical design and knowledge sharing. Contribute to strategic initiatives covering cloud platform standards, CI/CD maturity and Infrastructure-as-Code. Design and operate resilient, highly scalable cloud services in line with enterprise security, compliance and public cloud standards. Required Skills & Experience Formal training or certification in software engineering concepts with 5+ years' professional experience in production software development. Advanced hands-on experience across system design, application development, testing and operational stability at scale. Strong proficiency in modern programming languages, with Go or Python particularly desirable. Advanced Kubernetes platform engineering experience, including designing, developing and operating custom Kubernetes Operators and Custom Resource Definitions (CRDs). Experience with technologies such as Kubebuilder, Operator SDK or equivalent. Strong understanding of Kubernetes internals, API machinery, RBAC, multi-tenancy, observability and production operational practices. Proven experience building cloud-native control planes and automation frameworks on Kubernetes, including reconciliation loops, admission controllers, webhooks and custom controllers. Strong Google Cloud Platform experience, including architecting, building, deploying and operating production cloud-native workloads using core GCP services. Understanding of cloud cost optimisation, security and enterprise architecture principles. Strong experience designing and implementing CI/CD pipelines, infrastructure automation and deployment strategies. Advanced understanding of the Software Development Lifecycle and experience improving engineering practices across teams. Strong knowledge of agile engineering methodologies, CI/CD, application resilience, security and capacity planning. Demonstrable expertise in a technical discipline such as cloud architecture, distributed systems, security, DevOps or platform engineering. Experience working within the financial services sector, including understanding of IT environments, regulatory requirements and operational constraints. Practical experience using AI-assisted developer tools and AI agents, such as GitHub Copilot, Claude Code or equivalent. Excellent communication and stakeholder management skills, with the ability to explain complex technical decisions and trade-offs to both technical and non-technical audiences. Desirable Skills Advanced Infrastructure-as-Code experience, particularly Terraform, CloudFormation or CDK. Strong observability and monitoring experience with technologies such as Prometheus, Grafana, Datadog or CloudWatch. Relevant Google Cloud certifications, such as Developer, Solutions Architect or Security. Experience implementing cloud security practices including secure coding, threat modelling, compliance and incident response. Open-source contributions or a strong track record of technical knowledge sharing. Experience leading multi-team initiatives spanning infrastructure, application and platform engineering.Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003

At FM Conway, our Senior Engineers play a key role in keeping London's infrastructure safe, resilient and fit for the future. Combining technical expertise with practical problem-solving, you'll help deliver engineering solutions across a range of highway structures and maintenance schemes. We're looking for an experienced Senior Engineer to join our Structures Business Unit, working within our Maintenance and Schemes team. Based at our Paddington office, you'll support structural maintenance programmes across Westminster City Council, the Royal Borough of Kensington & Chelsea and the London Borough of Hammersmith & Fulham, with opportunities to support other Local Authorities and TfL. This is a varied role covering structural inspections, assessments, design, technical approvals and providing engineering advice on urgent structural issues. As our Senior Engineer, you will: Support the delivery of structural maintenance programmes across our Structures team Plan and deliver General Inspections (GI) and Principal Inspections (PI) of highway structures, including bridges, underpasses, footbridges, retaining walls, river walls, pipe subways and pedestrian subways. Produce annual inspection programmes and cost plans for Local Authority clients. Complete inspections and record findings using BridgeStation, in line with London Bridge Engineering Group (LoBEG) specifications. Respond to Urgent Structure Advice (USA) requirements, investigating incidents such as vehicle strikes, structural damage and carriageway collapses. Produce technical investigation reports and recommend suitable repair or reinstatement options, including costs. Investigate damage to basement vaults supporting public highways and provide technical advice. Assess abnormal load applications against highway structure capacities and advise on alternative routes where required. Undertake non-complex structural design for highway improvement schemes, including signposts, foundations, lighting columns and basement vault sub-structures. Produce Bills of Quantities and bar bending schedules where required. Administer Technical Approval (TA) applications in line with highway structures requirements. Meet with clients to discuss programmes, costs, technical issues and project requirements. Prepare monthly contract reports and work with Operations Managers on costs, forecasts and profit and loss. Monitor KPI targets across maintenance and scheme works. Prepare accurate technical reports with minimal supervision. Work with clients, operational teams and other stakeholders to resolve technical issues. Support other projects and business requirements, including occasional out-of-hours and night work. You'll ideally have: We're looking for an experienced Senior Engineer with a strong understanding of highway structures and structural maintenance, alongside experience in inspections, technical reporting and structural design. You'll ideally have worked within structural maintenance programmes and the public sector, with experience of construction projects and structural design involving reinforced concrete, steel structures and foundations. You'll also bring: A BEng in Civil Engineering or equivalent. CEng membership of ICE or IStructE, or be working towards professional membership such as MICE or MIStructE. Experience working with Local Authority structural maintenance regimes. Knowledge of Eurocodes. Experience using BridgeStation, or the ability to learn the system through training. Competence in AutoCAD and strong Microsoft Office skills, particularly Excel and Word. Excellent communication skills and the ability to produce clear technical reports. A good understanding of health and safety, including working at height and in confined spaces where required. Commercial awareness, including costs, invoicing and project performance. The ability to work independently, manage competing priorities and meet deadlines. A collaborative approach to working with clients, colleagues and stakeholders. A full UK driving licence, as travel to FM Conway and customer locations is required. Why join FM Conway? At FM Conway, your expertise can make a genuine difference to the infrastructure around us. You'll have opportunities to develop your technical skills, gain experience across a range of structures and progress your career alongside experienced engineering and operational teams. Alongside a competitive salary, you'll receive: 23 days annual leave plus bank holidays Company pension and life assurance Healthcare and company bonus Car allowance Enhanced maternity pay Ongoing training and career development Cycle to work scheme Internal progression opportunities Shopping discounts through our Rewarding Great People platform Health and wellbeing support, including 24-hour advice lines and access to our Mental Health First Aiders FM Conway works across London's and the South East's highways structures and infrastructure, delivering refurbishment, improvement, heritage maintenance and repair schemes. Our projects include some of the capital's most recognisable structures, such as Hammersmith Bridge, Waterloo Bridge, Tower Bridge, Southwark Bridge, Greenford Flyover and the Marble Arch Still Water Illumination project. As part of our Structures Division, you'll work across a varied portfolio of highway structures, build strong client relationships and contribute to projects that support the safety and resilience of London's infrastructure. If you're an experienced Structural Engineer looking for varied technical challenges and the opportunity to develop your career, we'd love to hear from you. Join our family. Build your future. Shape the infrastructure of tomorrow. FM Conway is required to verify the right to work in the UK for all successful candidates. Any offer of employment will be subject to satisfactory right-to-work checks. Please note that FM Conway is unable to provide visa sponsorship for this role. Applicants must therefore have the right to work in the UK without requiring sponsorship from FM Conway, either now or in the future. FM Conway is an award-winning equal opportunities employer. We recognise that our workforce should reflect our diverse communities and we are proudly committed to creating an inclusive culture in which we celebrate and value individuals from all walks of life. EDI-Strategy At our heart we are a business that recognises and embraces individuality, so if you are excited about this role but you are unsure if you meet all of the criteria, we encourage you to apply anyway as you may still be the right candidate for this or another role we are recruiting for. We believe in people, not algorithms. That's why every application is personally reviewed by a member of our Recruitment Team - never by AI. We look forward to receiving your application! TPBN1_UKTJ

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

About The Role We are looking for a Lead Software Engineer who will be responsible for the design, development, and deployment of high-quality software solutions. You will collaborate closely with cross-functional teams, including product management and UX/UI, to ensure that our software solutions meet business and customer needs. This role involves leading a team of engineers on high-profile projects, ensuring best practices are followed, and driving continuous improvement in software development processes. You will be responsible for driving culture through your craft and be keen to take on line management responsibilities. We value adaptability over specific technology expertise. While we are technology-agnostic and expect you to be too, we will fully support your development with the necessary training to master the required technologies. Our technology choices are driven by client needs, and our goal is to build highly flexible teams. Responsibilities Lead the architecture, design, and development of complex software systems, ensuring they meet high standards of quality, security, and scalability. Manage and mentor a team of software engineers, providing technical guidance to foster professional growth. Ensure that coding standards, development best practices, and operational processes are consistently applied. Collaborate with product managers, UX/UI teams, and other departments such as DevOps, QA, and IT to translate business requirements into technical specifications and ensure smooth delivery. Drive continuous improvement initiatives to optimise performance, reliability, and security in software applications. Conduct regular code reviews and ensure that feedback is constructive and promotes learning within the team. Implement and maintain CI/CD pipelines to streamline the development and deployment process. Troubleshoot and resolve complex technical issues throughout the software development lifecycle. Stay up to date with the latest trends in software engineering, communicate complex technical concepts to non-technical stakeholders, and drive the adoption of new tools and methodologies where beneficial. Manage project timelines, ensuring that deliverables are completed on time and within scope. Contribute to bid questions & early-stage hiring, e.g. CV screening or technical assessments when required About You Professional knowledge and experience Essential: Extensive experience in full-stack software engineering, including design, development, testing, and deployment. Some of the languages and frameworks our teams work with: Java / Kotlin Python C# / .NET Full stack JavaScript (Express, React, Node.js etc.) We expect you to have deep experience in at least one of the above; you will also be flexible and comfortable picking up what the work requires Strong understanding of software development methodologies such as Agile, TDD, and DevOps. Extensive experience writing well-tested code. Good knowledge of cloud platforms(e.g. Azure, AWS, GCP) and infrastructure as code(Terraform) Experience with CI/CD pipelines and automated testing frameworks. Experience with various architecture patterns, e.g. microservices and event-driven. Experience with containerization technologies (e.g. Docker, Kubernetes). Proven ability to manage and lead engineering teams to success. Expertise in designing scalable and secure software architectures. Desirable: Knowledge of emerging technologies like AI Previous relevant experience as a senior software engineer Leading a large multidisciplinary project Line management experience Experience in interviewing and screening candidates Experience responding to bid questions Experience working on NHS projects Experience working with Health API's Skills Software Architecture: Expertise in designing scalable, secure, and efficient software architectures, ensuring alignment with business goals. Cloud Platforms: Strong proficiency in cloud technologies, including architecture and deployment strategies. Programming and Development: Advanced knowledge of multiple programming languages and frameworks (e.g. .NET, React, Python). CI/CD and Automation: Implementing and maintaining continuous integration/continuous deployment pipelines to accelerate development cycles. Code Quality and Testing: Experience with automated testing frameworks (e.g. Jest, XUnit) and best practices for ensuring code quality. DevOps Practices: Expertise in DevOps, particularly around automating deployment, monitoring, and scaling applications. Communication: Able to confidently communicate with internal and external stakeholders at both the technical and non-technical levels. Able to present and give feedback to relevant groups. Eg demo/TDA Behaviours and PACT values Purpose: Be values-driven, recognising that our client's needs are paramount. Approach client engagements with professionalism and creativity, balancing commercial and operational needs. Accountability: Be accountable for delivering your part of a project on time and under budget and working well with other leaders. Lead by example, promoting a culture where quality and client experience are foremost. Craft: B alance multiple priorities while leading high-performing teams. Navigate ambiguity and set the technical direction and approach to support positive outcomes. Togetherness: Collaborate effectively with others across TPXimpact. Build strong relationships with colleagues and clients. About Us People-Powered Transformation We're a purpose driven organisation, supporting organisations to build a better future for people, places and the planet. Combining vast experience in the public, private and third sectors and expertise in human-centred design, data, experience and technology, we're creating sustainable solutions ready for an ever-evolving world. At the heart of TPXimpact, we're collaborative and empathetic. We're a team of passionate people who care deeply about the work we do and the impact we have in the world. We know that change happens through people, with people and for people. That's why we believe in people-powered transformation. Working in close collaboration with our clients, we seek to understand their unique challenges, questioning assumptions and building in their teams the capabilities and confidence to continue learning, iterating and adapting. Benefits Include: 30 days holiday + bank holidays 2 volunteer days for causes that you are passionate about Maternity/paternity - 6 months Maternity Leave, 3 months Paternity Leave Life assurance Employer pension contribution of 5% Health cash plan Personal learning and development budget Employee Assistance Programme Green incentive programmes including Electric Vehicle Leasing and the Cycle to Work Scheme Health assessments About TPXimpact - Digital Transformation We drive fundamental change in approaches to product and service development, delivery and technology. Our agile, multidisciplinary teams use technology, design and data to deliver better results, improving outcomes for individuals, organisations and communities. By working in the open, in partnership with our clients, we not only transform their systems and services but also build the capability of their teams, so work can continue without us in the longer term. Our focus is sustainable change, always delivered with positive impact. We are committed to having a positive impact on the clients and the communities we serve. We actively encourage applications from all genders, ethnicities, disabled people, members of the LGBTQIA+ community, and those from lower socio-economic backgrounds. Don't meet 100% of the criteria? We still want to hear from you. Please let us know if you require any adjustments during the recruitment process. TPBN1_UKTJ

A leading organisation is seeking a Regulatory Reporting Engineer to join their team on a contract basis, working onsite in London. In this role, you will be responsible for designing and developing technology solutions that address global trade and transaction reporting requirements. You will work closely with engineering, compliance, operations, and business stakeholders to ensure that regulatory obligations are translated into robust, scalable technical implementations. Your primary responsibilities will include designing, developing, testing, and deploying regulatory reporting applications and data pipelines. You will build solutions that model complex trading workflows and business processes, and maintain systems that support global reporting standards. Investigating reporting exceptions, reconciling data discrepancies, and implementing automated solutions to enhance accuracy and efficiency will be key aspects of your role. You will also optimise data processing frameworks and support the full software development lifecycle, including production monitoring and troubleshooting. Leveraging modern data engineering technologies and AI-enabled workflows to improve automation and control frameworks is expected. The ideal candidate will hold a bachelor's degree in Computer Science, Engineering, or a related technical field, and demonstrate strong professional experience developing software in Python. Expertise in SQL and relational databases, as well as a solid understanding of software engineering principles, system design, and data architecture, are essential. Experience building scalable data processing solutions and distributed systems is highly valued. Strong analytical, problem-solving, communication, and collaboration skills are required. Preferred qualifications include experience in regulatory or transaction reporting, financial controls, or highly regulated environments, as well as knowledge of financial markets and trading systems. Familiarity with cloud platforms, modern data engineering technologies, AI-enabled workflows, and large-scale financial datasets will be advantageous. Please click to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement. To find out more about Huxley, please visit Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

This job is with Fitch Group, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Fitch Ratings is seeking aLead Software Engineerto join our global Ratings Technology team in London. This is an opportunity to build mission-critical platforms while helping shape the next generation of technology that powers how a world-leading credit ratings agency delivers insights. In this highly visible role, you will combine hands-on engineering leadership with a passion for innovation, partnering with product, analytics, and technology teams to modernize workflows and accelerate responsible AI adoption across the tribe and squad. You will work closely with talented engineering teams supporting Ratings workflow and analytical applications, influencing bothtechnical architecture and organizational direction. We are looking for a seasoned technologist who enjoys solving complex problems, mentoring others, and turning emerging ideas into practical outcomes. You do not need to be an AI specialist, but you should be excited to explore how AI, automation, and modern engineering practices can improve developer productivity, analyst experience, decision support, and operational excellence. This is a critical leadership role for an organization investing in the future and looking for someone who can inspire curiosity, experimentation, and measurable innovation across teams. What We Offer: • Strategic leadership with organizational impact – Shape technical architecture and product direction for applications used by analysts worldwide, with high visibility to senior leadership and the ability to influence technology strategy across Ratings Technology, • AI-forward innovation culture – The opportunity to champion responsible AI adoption, identify practical use cases, drive proofs of concept, and help teams translate experimentation into repeatable, trusted ways of working that create measurable business value, • Continuous learning and career growth – Training, certifications, conferences, mentorship opportunities, and clear paths to principal/architect/leadership tracks as you establish yourself as a thought leader, • Flexibility and world-class environment – Work from premier offices in London, Manchester, or Toronto with hybrid flexibility, competitive compensation reflecting your seniority, comprehensive benefits, and a culture that values both innovation and work-life harmony We'll Count on You To: • Define technical vision and accelerate AI-enabled transformation –Design robust, scalable full-stack applications using Python and React, guide architectural decisions, establish technical standards, and identify high-value opportunities where AI, intelligent automation, and modern data-driven workflows can improve outcomes for analysts and engineering teams, • Lead through influence and mentorship – Partner with product managers, analysts, and senior stakeholders as a trusted technical advisor, mentor engineers across teams, facilitate technical discussions, and foster a culture of experimentation, learning, and psychological safety, • Champion innovation and responsible AI adoption – Challenge existing approaches constructively, encourage experimentation, create and evaluate proofs of concept, promote approved AI tools and responsible usage patterns, and help the tribe and squad turn promising ideas into scalable engineering practices, • Champion engineering excellence and quality – Implement CI/CD pipelines, conduct architecture reviews, solve complex performance and scalability challenges, establish best practices that scale across teams, and balance innovation with pragmatic delivery, • Shape team direction and build an innovation flywheel – Influence team processes, lead strategic technical initiatives spanning multiple teams, share learnings from AI pilots, create space for peer-led adoption, and model the curiosity, humility, and boldness needed to make innovation part of everyday delivery, • Own reliability and navigate complexity – Provide expert troubleshooting for sophisticated issues, maintain system performance at scale, balance multiple strategic priorities, and deliver excellence in fast-paced Agile environments What You Need to Have: • 12+ years of professional software engineering experience building and supporting enterprise-grade applications., • Expert-level proficiency in developing scalable backend services, APIs, and data-driven applications using Python, • Hands-on Reactexperience developing modern, responsive, and scalable web applications in production environments., • Strong experience with TypeScript/JavaScript, HTML, CSS, and modern frontend development practices., • Experience designing and developing RESTful APIsand integrating with third-party services., • Solid understanding of software design principles, design patterns, object-oriented programming, data structures, algorithms, and scalable system architecture., • Experience working with relational and NoSQL databases., • Familiarity with Agile development methodologies and modern software delivery practices, • AI Fluency – Experience or familiarity with integrating AI-powered capabilities into software applications, including LLM APIs such as OpenAI, AWS Bedrock, Anthropic, or similar platforms. Understanding of concepts such as prompt engineering, retrieval-augmented generation (RAG), AI agents, and responsible AI practices, with the ability to evaluate and apply AI technologies to solve real business problems., • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience., • Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams. What Would Make You Stand Out: • Modern engineering practices and DevOps prowess – Deep experience with Docker, Kubernetes/EKS, GitHub, sophisticated CI/CD pipelines, and hands-on cloud expertise (AWS/Azure) with microservices and cloud-native architecture, • AI adoption leadership – Experience championing AI, generative AI, intelligent automation, or developer productivity tooling in an engineering organization; ability to identify practical use cases, define guardrails, coach peers, measure outcomes, and scale successful practices across teams, • Leadership trajectory – Experience in principal engineer, tech lead, or architect roles; history of contributing to technical strategy or organizational direction; thought leadership through talks, writing, or community involvement, • Financial services domain expertise – Experience with analytical workflows, regulatory processes, financial products, credit ratings, or understanding of how technology enables better decision-making, • Agile mastery and change agent experience – Track record of establishing practices, challenging established patterns constructively, and creating space for teams to innovate and take calculated risks If you are a seasoned engineering leader who wants to build impactful platforms, inspire teams, and help shape how AI and innovation are adopted responsibly across a global technology organization, we would love to hear from you. At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone. Every team member is essential to our business, and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority. We are building incredible things at Fitch and we invite you to join us on our journey. Fitch Group is a global leader in financial information services with operations in more than 30 countries. Wholly owned by the Hearst Corporation, we are comprised of three main businesses: Fitch Ratings | Fitch Solutions | Fitch Learning. For more information please visit our websites: | | _ Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch's credibility and reputation, our employees must take every precaution to avoid conflicts of interests or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work. Fitch Group is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. #LI-Group #LI-AT #LI-Hybrid

n AI Trainee Engineer – £45,000–£75,000 – Job Programme \n Looking to start a career in AI Engineering? \n 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. \n Train online at your own pace and become job-ready in as little as a few weeks. \Official AWS Certified Cloud Practitioner certification \n Training in Python, Machine Learning, and AI systems \n Hands-on projects using real-world AI tools and technologies \n Professional CV and LinkedIn support \n Hands-on projects to build your AI portfolio \n \n Flexible, affordable, achievable \n 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. \AI Engineer: £45,000 – £60,000\n Machine Learning Engineer: £60,000 – £75,000\n Progression into senior AI roles with higher earning potential \n \n 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. \n 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. \

n AI Trainee Engineer – £45,000–£75,000 – Job Programme \n Looking to start a career in AI Engineering? \n 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. \n Train online at your own pace and become job-ready in as little as a few weeks. \Official AWS Certified Cloud Practitioner certification \n Training in Python, Machine Learning, and AI systems \n Hands-on projects using real-world AI tools and technologies \n Professional CV and LinkedIn support \n Hands-on projects to build your AI portfolio \n \n Flexible, affordable, achievable \n 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. \AI Engineer: £45,000 – £60,000\n Machine Learning Engineer: £60,000 – £75,000\n Progression into senior AI roles with higher earning potential \n \n 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. \n 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. \