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We are seeking an exceptional Senior Nuke Compositor to help build and shape an elite in-house compositing team within Sky Creative’s NxGen studio. This is a senior creative and technical role requiring a highly experienced compositor with strong leadership instincts, excellent communication skills, and a forward-thinking approach to modern VFX workflows. Reporting directly to the Project Lead/Design Director and Creative Director, you will play a pivotal role in defining compositing standards, mentoring artists, refining workflows, and delivering high-end visual content across a diverse range of projects. This role places a strong emphasis on AI-assisted hybrid workflows — integrating AI-generated elements seamlessly into live-action plates, as well as contributing to the execution and finishing of fully AI-generated shots and sequences. You will help establish best practices for maintaining cinematic quality, consistency, realism, and creative control across rapidly evolving hybrid pipelines. You will take ownership of complex shots and sequences from initial setup through final delivery, while helping guide the development of a next-generation compositing pipeline that embraces AI-assisted and hybrid workflows. NxGen is Sky Creative’s AI-first hybrid studio, built to redefine how creative work is imagined, produced, and delivered. By combining world-class talent with intelligent systems, scalable infrastructure, and agile production models, we enable teams to move faster, collaborate smarter, and unlock greater creative freedom. More than a studio, NxGen represents a new approach to modern content creation — driven by innovation, experimentation, and adaptability. What you'll do Creative & Project Leadership Take ownership of high-end compositing work across individual shots and full sequences, ensuring exceptional visual quality and consistency. Collaborate closely with the studio’s Creative Director, Design Director and Production to achieve the creative vision of each project. Ensure final imagery meets both artistic and technical delivery standards. Help define best practices for integrating AI-generated elements into high-end compositing workflows while maintaining cinematic realism and production-ready quality. Lead the refinement and elevation of fully AI-generated shots and sequences where appropriate. Work closely with AI Hybrid Artists, Creative Technologists, and CG teams to establish scalable, controllable, and artist-friendly workflows. Evaluate the strengths and limitations of emerging AI tools and advise on their practical application within production environments. Help ensure AI-assisted workflows maintain consistency, continuity, and creative integrity across projects. Team Leadership & Mentorship Help build, shape, and mentor a growing in-house compositing team. Provide clear, constructive feedback to junior and mid-level artists, fostering development and technical growth. Support the establishment of best practices, team structure, and efficient communication workflows. Act as a senior point of guidance for compositing challenges, troubleshooting, and technical problem-solving in an open collaborative environment. Technical Workflow & Pipeline Development Lead shot setup and compositing workflow development within Nuke. Advise on workflow efficiencies, colour management, technical standards, and pipeline improvements. Work closely with pipeline, production, and technology teams to improve scalability and efficiency across projects. Contribute to ShotGrid (or equivalent tracking software), ensuring renders are properly published and project files are consistently organised, archived, and easily accessible for future updates or reuse. AI & Hybrid Workflow Integration Help grow the development of AI-assisted hybrid workflows by evaluating and integrating emerging tools and technologies. Maintain awareness of current developments in AI, machine learning, automation, and real-time production techniques relevant to compositing. Understand the strengths, limitations, and practical applications of both traditional and AI-enhanced workflows within a production environment. What You'll Bring Extensive professional experience as a Senior Compositor within VFX, post-production, animation, or high-end creative production environments, with strong focus on advertising output. Expert-level knowledge of Foundry Nuke and modern compositing workflows. Demonstrated history of producing exceptional visual work, consistently delivering creative and technical excellence within the practical constraints of production schedules, budgets, and client expectations. Demonstrable leadership experience with a proven ability to identify, mentor, and nurture emerging talent, helping build a high-performing and collaborative compositing team Strong eye for detail, composition, colour, lighting, realism, and visual continuity. Deep understanding of colour science, EXR workflows, multi-pass compositing, and pipeline integration. Experience with Nuke Studio, DaVinci Resolve, conforming, or editorial finishing workflows is a plus. Strong understanding of and passion for developing AI-assisted compositing workflows and hybrid production methodologies. Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks. Here’s a taster: Free Sky TV or NOW package, including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you’ll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 3 days in the office per week. Your office base Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there’s plenty of space to see your big ideas come to life. Here you’ll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon. Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there’s free onsite parking available for cars, motorbikes and bicycles. Who we are We’re Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you’ll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We’re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search #LifeAtSky on social media.

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.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports—giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer, you’ll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you’ll do: You’ll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation, real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution—not just single models—while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low latency, highly reliable cloud based AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering data–driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch, TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Nice to have Understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan – we immerse ourselves in Sport so having a passion for sport and a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here’s a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next. But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we’ll back you all the way. Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Most underwriting roles ask you to assess deals. \n This one asks you to help build the machine behind them. \n We're partnering with an award-winning, high-growth fintech lender that is redefining how ambitious UK businesses access capital. As lending volumes continue to scale, they're looking for a commercially minded Credit Analyst or Senior Credit Analyst to join their growing Risk team. \n This is not a "sit in your lane and process applications" role. \n You'll independently assess lending opportunities while helping design and improve the underwriting systems, risk models and decision-making frameworks that power the business. \n You'll thrive here if you: \n Have 3-5+ years underwriting experience within SME lending, banking or fintech \n Enjoy making commercial decisions and taking ownership \n Love improving processes and building scalable solutions \n Have a growth mindset and enjoy fast-moving, ever-evolving environments \n Want your work to have visible impact rather than being a cog in a large machine \n What you'll get: \n Genuine ownership and autonomy \n Direct exposure to senior leadership \n The opportunity to influence credit strategy and policy \n Hybrid working flexibility \n Private medical cover and strong benefits package \n Annual learning budget and wellbeing days \n Potential future equity participation for the right individual, sharing in the success you help create \n This is a business that moves quickly, values action over bureaucracy and gives talented people the freedom to make a real difference. \n If you're currently underwriting deals but want to help shape the future of lending rather than simply operate within it, I'd love to have a confidential conversation. \n Message me directly for more information and a chat and send me your CV ASAP. We have a tight deadline for CV's as this is an urgent request \n

Lead AI Engineer \n London (Hybrid, 1 day per week) | Up to £110,000 + 15% Bonus \n This is an exciting opportunity for a Lead AI Engineer to join a business making significant investment in AI and automation. You will play a pivotal role in shaping AI strategy, leading the delivery of production-grade GenAI solutions, and driving innovation across multiple high-impact business areas. With strong executive backing and a growing pipeline of AI initiatives, this role offers genuine influence and ownership from day one. \n The Company \n They are a well-established, technology-driven organisation operating at scale within a highly regulated environment. As part of a wider digital transformation programme, they are investing heavily in AI, automation, and advanced data capabilities to improve customer experiences and operational efficiency. \n Their AI function is expanding rapidly, with multiple GenAI and machine learning initiatives moving from concept into production. You will join a collaborative team where technical expertise is valued, decisions are made pragmatically, and innovation is closely aligned to measurable business outcomes. \n The Role \n As a Lead AI Engineer, you will be responsible for leading the design, development, and deployment of AI solutions that deliver real business value. \n Responsibilities include: \n\n • Owning end-to-end delivery of AI and GenAI solutions from discovery through to production.\n, • Leading architecture decisions and providing technical direction across multiple AI initiatives.\n, • Building scalable, secure, and reliable AI applications within an enterprise environment.\n, • Driving build versus buy evaluations and recommending appropriate technologies.\n, • Delivering solutions including retrieval-augmented generation (RAG), agentic AI, automation, and intelligent decision-support tools.\n, • Working closely with engineering, security, governance, and business stakeholders.\n, • Navigating complex and ambiguous problem spaces to identify practical AI opportunities.\n, • Providing technical leadership, guidance, and mentoring within the AI engineering function.\n, • Contributing to the wider AI strategy and future direction of the capability.\n\n Your Skills & Experience \n\n • Strong commercial experience delivering GenAI solutions into production environments.\n, • Proven ability to lead AI projects from concept through deployment and operational management.\n, • Excellent software engineering fundamentals and experience building scalable applications.\n, • Experience making architecture and technology decisions within enterprise organisations.\n, • Strong knowledge of modern AI engineering practices, including LLMs, RAG, agentic workflows, and MLOps concepts.\n, • Experience working with cloud platforms, ideally AWS.\n, • Ability to balance innovation with risk, governance, and operational requirements.\n, • Strong stakeholder management and communication skills.\n, • Experience within financial services or other regulated environments would be beneficial.\n, • Demonstrable experience operating at Lead Engineer, Technical Lead, or equivalent level.\n\n What They Offer \n\n • Hybrid working model with flexibility and a strong focus on outcomes.\n, • Opportunity to influence AI strategy within a growing and highly visible function.\n, • Exposure to a broad portfolio of AI transformation initiatives.\n, • Career progression within an expanding AI and engineering capability.\n, • Autonomy, ownership, and the opportunity to deliver meaningful business impact at scale.\n\n How to Apply \n If you are a Lead AI Engineer with proven experience delivering production-ready GenAI solutions and want to play a key role in shaping the future of AI within a large-scale organisation, please apply today.

Bowleys Oversight is building a new category of residential property decision intelligence. We combine data, mathematical modelling and AI to help landlords, investors and property owners make better decisions. \n This is an opportunity to work directly with the founder and help build the analytical and technical foundations of the business from the ground up. What you'll do\n\n • Design and build mathematical models for real-world property decisions.\n, • Develop Python-based tools and internal software.\n, • Analyse large property datasets to identify patterns and opportunities.\n, • Build decision models for pricing, rental performance, investment and asset management.\n, • Experiment with AI and LLMs to automate research and analysis.\n, • Create prototypes, dashboards and internal applications.\n, • Improve and validate models using real market data.\n, • Work across engineering, data science and product development.\nWe're looking for someone who\n\n, • Is studying or has recently completed a degree in Computer Science, Mathematics, Engineering, Physics, Statistics, Data Science or a related quantitative subject.\n, • Has strong programming skills, ideally in Python.\n, • Enjoys solving complex problems from first principles.\n, • Can translate ideas into working software.\n, • Is curious, ambitious and enjoys learning quickly.\n, • Wants to build products rather than simply maintain them.\n\n Experience with AI, machine learning, optimisation, data engineering or full-stack development is a bonus but not essential. What you'll gain\n\n • Direct mentorship from the founder.\n, • The opportunity to work on genuine AI and decision intelligence systems.\n, • Significant ownership from day one.\n, • Exposure to product development, modelling and commercial strategy.\n, • Flexible working arrangements.\n, • The possibility of progressing into a full-time founding engineering role as the company grows.\nOur culture\n We value curiosity, intellectual honesty, rapid learning and first-principles thinking. We care more about your ability to solve difficult problems than your previous job titles or industry experience. \n If you're excited by building technology that solves complex real-world problems and want to help create something from the ground up, we'd love to hear from you.

\n\n We're supporting a leading global financial services organisation operating within a highly regulated and technology driven environment to recruit a Tech Recruiter on a 6 months contract.\n\n\n London - Hybrid\n\n \n \n \n An exciting contract opportunity has arisen for an experienced Tech Recruiter to join a high-performing talent acquisition team supporting large-scale technology hiring across a global enterprise environment. \n \n You will partner closely with technology leaders and hiring managers to deliver end-to-end recruitment solutions across a wide range of technical disciplines, helping to attract and secure top talent in highly competitive markets. \n This role is ideal for a recruiter who enjoys managing multiple priorities, building strong stakeholder relationships, and recruiting for complex technical positions. Key Responsibilities\n\n • Manage the full recruitment lifecycle for mid-senior and leadership-level technology vacancies.\n, • Partner with hiring managers to develop effective sourcing and hiring strategies.\n, • Build talent pipelines across multiple technology disciplines, including:\n \n, • Cloud Engineering\n, • Platform Engineering & Operations\n, • Software Engineering\n, • Data Engineering & Analytics\n, • Cybersecurity\n, • AI, Machine Learning & Generative AI\n, • Enterprise Architecture\n, • Infrastructure Engineering\n, • DevOps & Site Reliability Engineering\n, • Technology Risk & Governance\n, • Digital Transformation & Technology Modernisation\n \n, • Utilise LinkedIn Recruiter, networking, market mapping, referrals, and direct sourcing techniques to identify high-quality talent.\n, • Provide market intelligence on talent trends, compensation, and hiring best practices.\n, • Deliver an exceptional candidate experience throughout the recruitment process.\n, • Maintain regular communication with stakeholders and provide updates on recruitment activity and hiring progress.\nExperience \n\n, • 5+ years' experience recruiting within technology or IT functions.\n, • Recruitment experience within financial services, banking, fintech, asset management, or other regulated sectors.\n, • Proven success hiring for complex technology positions across infrastructure, software engineering, cloud, cybersecurity, data, architecture, or related disciplines.\n, • Strong direct sourcing and talent attraction experience.\n, • Ability to understand technical requirements and assess candidate suitability.\n, • Excellent stakeholder management and communication skills.\n, • Highly organised with the ability to manage multiple concurrent vacancies in a fast-paced environment.\n, • Experience supporting global technology organisations.\n, • Knowledge of cloud technologies (AWS, Azure, GCP), DevOps, cybersecurity, data platforms, and emerging AI technologies.\n, • Experience hiring for AI, Machine Learning, Generative AI, and cloud-native technology roles.\nWhy Apply?\n\n, • Opportunity to recruit for cutting-edge technology teams.\n, • Exposure to large-scale enterprise technology transformation programmes.\n, • Work with senior stakeholders across a global organisation.\n, • Fast-paced, collaborative, and highly visible recruitment environment.\n, • Competitive contract rates and flexible working arrangements.\n\n If you're a proactive, consultative recruiter who thrives on finding exceptional technology talent and enjoys partnering with business leaders to solve complex hiring challenges, we'd love to hear from you. \n \n \n Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

\n Lead Data Engineer \n\n Up to £100,000\n\n\n *Kafka or Kinesis required London (4 days onsite)\n\n\n This is a great opportunity to join a high-growth organisation where you can take ownership of building and architecting a greenfield data platform for an AI-driven product.\nTHE COMPANY:\n\n This is an early-stage, venture-backed company building the operating system for modern property management through its AI platform.\nTHE ROLE:\n\n You will take ownership of the entire data architecture, acting as the most senior individual contributor within Data Engineering. This is a hands-on leadership role focused on technical ownership rather than people management.\n\n\n Key responsibilities include:\n\n\n • Designing and owning the company's data architecture from the ground up\n, • Building scalable batch and real-time data pipelines\n, • Developing data ingestion, storage, and transformation frameworks\n, • Supporting AI and machine learning infrastructure, including vector search systems\n, • Implementing data quality, monitoring, and observability practices\n, • Collaborating closely with AI, backend engineering, and product teams\n, • Optimising performance, scalability, and reliability of large datasets\n, • Influencing long-term technical strategy and laying foundations for the data function\nYOUR SKILLS AND EXPERIENCE:\n\n You will bring strong capability in:\n\n\n, • Python development and building scalable distributed data systems\n, • Data architecture design and pipeline development\n, • Batch and streaming data processing\n, • Relational databases (PostgreSQL or similar)\n, • NoSQL and modern vector databases (e.g., Qdrant, Milvus, pgvector)\nTHE BENEFITS:\n\n You will receive a salary of up to £100,000 depending on experience.\nHOW TO APPLY:\n\n Please register your interest by sending your CV to Molly Bird via the apply link on this page.\n\n

\n Junior Marketing Effectiveness Specialist \n London, Hybrid \n Salary up to £46,000 \n \n \n This is a unique opportunity to join a highly data-driven organisation where advanced analytics directly shapes commercial decision-making. You will work on marketing effectiveness projects that influence how organisations invest and optimise their media spend, with strong exposure to Marketing Mix Modelling and modern data science tools. \n \n The Company They are a global, analytics-led organisation operating at the intersection of data science, media, and technology. Built on a strong engineering and experimentation culture, they use proprietary tools and advanced modelling techniques to help clients understand what truly drives performance. Their teams are highly collaborative and focused on delivering measurable outcomes. With a presence across multiple regions, they offer exposure to large-scale, complex datasets and a variety of industries. \n \n The Role \n\n • Support the delivery of Marketing Mix Modelling projects, contributing to data preparation, model execution, and scenario analysis\n, • Work closely with senior stakeholders to produce high-quality, technically robust outputs\n, • Apply statistical and machine learning techniques to solve real-world marketing and business challenges\n, • Translate complex model outputs into clear, actionable insights for non-technical audiences\n, • Leverage AI tools to enhance workflows, improve efficiency, and support documentation and communication\n, • Contribute to the continuous improvement of data science practices, tools, and processes\n\n Your Skills and Experience \n\n • Strong commercial experience in data science, with exposure to statistical modelling or Marketing Mix Modelling\n, • Proficiency in Python and experience working with cloud platforms such as GCP\n, • Understanding of Bayesian statistics and marketing attribution methodologies\n, • Experience with tools such as Meridian, Robyn, PyMC, or similar modelling frameworks\n, • Ability to communicate complex technical findings in a clear and structured way\n, • A detail-oriented mindset with a focus on accuracy and quality in analysis\n, • Curiosity and motivation to develop skills at the intersection of data science and marketing effectiveness\n, • Experience using AI tools to improve productivity and outputs is beneficial\n\n \n \n How to Apply If you are interested in applying your data science expertise to high-impact marketing analytics projects, please apply with your CV to learn more. \n \n

This is a newly established role within a newly created AI-focused Treasury function with a FTSE 10. You will contribute meaningfully over the long term while playing a key role in shaping and scaling the future capability of the Treasury function \n Client Details \n\n • Our client is a globally recognised, FTSE 100-listed group, consistently ranked in the top 10 companies by market cap and regarded as a true heavyweight in international markets.\n, • With a workforce of c50,000 employees worldwide and operations spanning approximately 180 countries, the organisation has built one of the most extensive and diversified global footprints of any UK-listed business.\n, • Blending a long-established heritage with a bold transformation agenda, the business is actively reshaping its portfolio through sustained investment in innovation, new product categories, and emerging technologies to drive future growth.\n, • This is a business at the centre of global finance, offering employees exposure to complex funding strategies, high-profile transactions, and senior stakeholder engagement across international markets.\n\n Description \n\n • Identify and prioritise key treasury problem areas (e.g. cash positioning, FX decisions, limit monitoring), shaping a focused pipeline of high-value AI and automation initiatives\n, • Translate business requirements into scalable, practical solutions using Microsoft tools and automation frameworks\n, • Design and deploy AI-driven agents and workflows via Copilot Studio and the Power Platform\n, • Develop dashboards and reporting capabilities (Power BI), and collaborate with technical teams on more complex integrations where required\n, • Support the evolution of cash flow forecasting capabilities, incorporating machine learning where appropriate\n, • Drive automation and optimisation of treasury processes, including funding requests, loan documentation, KYC, and risk analysis\n, • Deliver measurable efficiency gains and enhanced decision-support tools, without large-scale system redevelopment\n, • Ensure robust testing, validation, and continuous improvement of solutions, aligned with treasury controls and data governance standards\n, • Maintain clear documentation, transparency, and auditability across all outputs\n, • Engage stakeholders across treasury, finance, and IT, translating technical outputs into actionable insights\n, • Promote adoption and capability-building, coordinating delivery and supporting execution of the AI roadmap\n\n Profile \n This is a newly established role within a newly created AI-focused Treasury function with a FTSE 10. The business is open to candidates with a broad range of AI exposure, recognising diverse skill sets and perspectives in the AI field. They are seeking individuals who can develop deep expertise, contribute meaningfully over the long term, and play a key role in building and shaping the future capability of the Treasury team. \n The key requirements include: \n\n • Demonstrable experience with Microsoft Power Platform (e.g. Power BI, Power Automate) and/or Copilot tools essential\n, • Exposure to data analysis, reporting, or basic machine learning concepts\n, • Awareness of data flows and system integration (e.g. APIs)\n, • Background in finance, treasury, or related field with an understanding of core treasury concepts (cash, liquidity, FX, risk)\n, • Strong interest in process improvement and practical problem-solving\n, • Ability to translate business challenges into structured, actionable solutions\n, • Analytical mindset with clear stakeholder communication skills\n, • Comfortable operating in evolving, ambiguous environments with a proactive, self-directed learning approach\n, • Resilient, outcome-focused, and pragmatic in delivery\n, • Strong interpersonal skills, with the ability to influence across technical and non-technical stakeholders\n\n Job Offer \n This is a unique opportunity to get ahead of the AI curve and help build innovative, real-world AI solutions within finance and treasury operations. You will contribute meaningfully over the long term while playing a key role in shaping and scaling the future capability of the Treasury function \n The benefits will include: \n\n • Competitive salary ranging up to £72,000.\n, • Hybrid, London based role, in the office x3 days per week.\n, • Competitive and evolving total rewards package, designed to attract and retain talent, support performance, and recognised externally for pay equity.\n, • Commitment to an inclusive, supportive culture, recognising diversity as essential to long-term success and transformation\n, • Comprehensive well being offering covering physical, emotional, financial, and social support, including healthcare, EAP services, fitness initiatives, and core benefits\n, • Strong family-friendly policies, including enhanced parental leave (minimum 16 weeks fully paid), return-to-work guarantees, and dedicated support for parents and carers\n, • Flexible working environment, with hybrid working as standard and additional options such as flexible hours, remote working, and part-time arrangements\n\n

Junior Remote Support Engineer (Electro-Mechanical) Watford, Hertfordshire (Office Based – Monday to Friday) Salary: Up to £47,000 + Benefits \n Join an expanding technical support team \n Our client is investing heavily in the growth of its UK engineering operation and is looking for several Junior Remote Support Engineers to join a newly created technical support team based at its Watford Head Office. \n This is an excellent opportunity for engineers with a solid mechanical and electrical background who are looking to develop their careers within a highly technical environment supporting sophisticated automated equipment. \n You’ll receive ongoing training and work alongside experienced engineers while developing your skills across mechanical, electrical and software diagnostics. \n The Role \n You’ll provide first and second-line technical support to engineers working in the field, assisting with diagnostics, troubleshooting and technical problem resolution. \n Responsibilities include: \n Supporting field engineers with technical fault diagnosis \n Investigating mechanical, electrical and software issues \n Assisting with remote troubleshooting and machine diagnostics \n Escalating more complex technical issues where appropriate \n Logging technical information accurately \n Working closely with engineering and operations teams \n Continuously developing your product and technical knowledge \n About You \n You’ll be an enthusiastic engineer who enjoys solving problems and learning new technology. \n You’ll ideally have: \n Mechanical engineering knowledge \n Electrical fault-finding skills \n Basic understanding of IT systems and software \n Strong communication skills \n Analytical and logical thinking \n A positive, team-focused attitude \n Desire to build a long-term engineering career \n Experience from any of the following backgrounds would be welcomed: \n Field Service Engineering \n Electrical Engineering \n Mechanical Engineering \n Maintenance Engineering \n Mechatronics \n Manufacturing \n Automation \n Industrial Equipment \n Technical Support \n Plant Engineering \n Electro-Mechanical Assembly \n Whether you’re currently working in the field or looking to transition into a more office-based technical support role, this is an excellent opportunity to develop your career within a growing engineering business. \n What’s on Offer \n Salary up to £47,000 \n Full product training \n Excellent career progression opportunities \n Work with cutting-edge electro-mechanical technology \n Supportive and collaborative engineering team \n Long-term career stability \n Location: Watford (office based, Monday-Friday) \n

Are you passionate about using data science to solve complex pricing challenges? We're looking for a talented Senior Pricing Analyst to join our Behaviour Modelling team and play a key role in shaping next-generation pricing strategies through advanced analytics and machine learning. \n In this role, you'll develop and deploy sophisticated behaviour models that influence pricing decisions, customer outcomes and business performance. Working with large datasets, you'll use Python, SQL and leading pricing tools to build, validate and enhance predictive models, transforming data into actionable insights that support smarter commercial decisions. This role will suit someone who has previous experience in roles such as Behaviour Modelling, Insurance Pricing Analyst, Pricing Data Scientist, Pricing Modelling Analyst, Insurance Pricing Specialist. \n Salary: up to £59k base + Bonus \n Benefits: 5% Employer contribution, 3% Employee contribution pension, Private Medical Cover, Life Assurance x 4 base salary, Income Protection, 24 Days holiday, increasing with length of service, plus birthday off plus the option to buy extra holiday \n Location: Hybrid – 1 day a month in the central London office. \n We're looking for someone with experience solving pricing challenges using quantitative techniques, ideally within the insurance sector. You'll have strong analytical and problem-solving skills, experience working with large datasets using Python and SQL, and the ability to translate business requirements into effective modelling solutions. Experience with Radar, Emblem or similar pricing software would be advantageous, as would knowledge of machine learning techniques and pricing optimisation. \n If you're an experienced Senior Pricing Analyst, Insurance Pricing Analyst, Pricing Data Scientist, Pricing Modelling Analyst or Insurance Pricing Specialist looking to make a real impact, CLICK APPLY and send through a CV.

\n\n Principal Credit Risk Consultant\n\n\n Salary £90,000-£120,000\n\n\n Location + work pattern London (2 - 3 days a week in office)\n\n\n THE COMPANY This organisation is a well-established financial services consultancy. They partner with a range of lenders to deliver data-driven insights and strategic solutions, combining deep technical expertise with commercial understanding.\n\n\n THE ROLE This is a senior position focused on leading the delivery of complex credit risk projects while supporting business growth and team development. You will work closely with senior stakeholders, oversee multiple engagements, and contribute both strategically and technically.\n\n\n Specifically, you can expect to be involved in:\n\n\n • Hands on with SQL and SAS or Python\n, • Building and growing client relationships\n, • Overseeing project teams to ensure high-quality, timely outputs\n, • Contributing to analytics work including modelling, such as scorecards and portfolio analysis\n, • Supporting business development through client engagement and proposal development\n, • Mentoring and developing junior team members\n\n\n YOUR SKILLS AND EXPERIENCE\n\n\n, • Strong experience in credit risk and analytics within consumer or SME lending\n, • Recent experience engaging Business development role to maintain and grow client relationships.\n, • At least 2 years experience leading end-to-end delivery of credit risk and analytical projects in a consultancy space.\n, • Proficiency in data analysis tools such as Python/SAS, and SQL\n, • Currently engaging in Business development to ensure project pipeline is continuous.\n, • Proven ability to manage projects and lead analytical teams\n, • Experience with modelling techniques (e.g. scorecards, forecasting, or machine learning) within the credit risk space.\n, • Ability to communicate complex analytical findings clearly to stakeholder\n\n\n THE BENEFITS\n\n\n, • Competitive salary and bonus structure\n, • Hybrid working environment\n, • Exposure to a wide range of financial services clients and projects\n, • Opportunities for leadership and career progression\n\n\n THE PROCESS\n\n\n, • Initial interview\n, • Technical or case study stage\n, • Final interview\n\n\n HOW TO APPLY Please register your interest via the apply link on this page.\n\n

\n SENIOR DATA SCIENTIST \n UP TO £70,000 + EQUITY \n LONDON \n HYBRID WORKING - 2 DAYS PER WEEK \n Join a fast-growing fintech redefining lending through smarter, more personalised credit decisions. Take ownership of end-to-end modelling and shape how data directly drives real-world lending outcomes. \n THE COMPANY \n A UK-based fintech lender building an innovative consumer lending product focused on flexibility and affordability. The business is customer-first, using income and affordability data to make fairer lending decisions beyond traditional credit scores. With a proven model in place and strong growth plans, they offer a unique opportunity to join at an early but established stage. \n THE ROLE \n As a Senior Data Scientist, you will take ownership of credit risk and decisioning models, working across the full lifecycle from development through to deployment. This is a highly hands-on role with significant influence on how data drives commercial lending decisions. \n Specifically, you can expect to be involved in: \n\n • Building and optimising credit risk models, including scorecards and machine learning approaches\n, • Deploying models into production and monitoring performance over time\n, • Developing data pipelines and integrating multiple data sources into decisioning frameworks\n, • Working closely with stakeholders to ensure models directly influence lending strategy and outcomes\n\n SKILLS AND EXPERIENCE \n\n • Strong experience developing credit risk models, including scorecards and ML models\n, • Proficiency in Python and SQL for data analysis, modelling, and data manipulation\n, • Experience working with cloud-based infrastructure (e.g. AWS)\n, • Understanding of model deployment and production environments\n, • Ability to translate technical work into commercial lending and commercial insights\n, • Familiarity with financial services data such as bureau, Open Banking or affordability data\n\n BENEFITS \n The successful Senior Data Scientist will receive up to £70,000 and a comprehensive benefits package. \n

Transformation Director (CIO / CTO). \n The Opportunity \n We are partnering with a global leader in household consumer products to appoint a Transformation Director. This critical enterprise leadership role is appropriate - for an elite technology executive with a proven CIO or CTO track record. \n Operating as the primary execution partner to the newly appointed Chief Artificial Intelligence Officer (CAIO), you will lead the structural, architectural, and operational overhaul required to embed advanced AI across a multi-billion-pound global business network. You will directly manage a high-performing technical leadership team - including the Head of Data - to drive Business Process Reengineering (BPR), manage internal and client-side change, and secure a sustainable global competitive advantage. \n The 6 Pillars of the Mandate \n To successfully execute this transformation, the Transformation Director must possess a background defined by 6 Core Fundamentals: \n 1. Tech Strategy: Crafting and evolving the overarching technological runway that supports the CAIO’s vision, shifting the business from legacy setups to modern, AI-ready frameworks. \n 1. Delivery Excellence: Championing structural execution using rigorous Work Breakdown Structure (WBS) methodologies to guarantee on-time, high-impact deployments. \n 1. Organisation Leadership: Empowering, structuring, and upskilling a global technology footprint, bridging the "AI Learning Gap" across cross-functional business units. \n 1. Commercial Acumen: Managing complex technology investments, driving Build vs. Buy options, and proving tangible ROI indicators to the executive board. \n 1. Domain Expertise: Bringing deep operational knowledge of fast-moving consumer goods (FMCG) or highly distributed worldwide supply chains and product lifecycles. \n 1. Technical Depth: Possessing a robust understanding of modern data architectures, advanced analytics, cloud scalability, and GenAI/LLM integration complexities. \n Key Responsibilities & Focus Areas \n Working in tandem with the CAIO, you will own the technical architecture and change management engine. You must be highly comfortable leading across four critical dimensions: \n\n • Managing Change: Deconstructing complex technical and cultural shifts into predictable milestones. You will guide internal teams and global clients through intense technological shifts.\n, • Collaborative Leadership: Navigating a matrixed CXO ecosystem. You will align environment, vision, and operational resources while collaborating closely with Business Intelligence, Marketing, and ESG/CSR units.\n, • AI Adoption: Operationalising advanced AI frameworks, ensuring machine learning models move out of sandbox environments and into live, localized exploitation.\n, • Business Continuity Planning: Securing the core business. You will insulate the global estate against operational risks, technical debt, and system failures during high-velocity deployments.\n\n The Candidate Profile \n We are seeking a seasoned CXO-level technologist who combines world-class program execution with boardroom fluency. \n\n • Experience: Proven tenure as a CIO, CTO, or Global IT Transformation Director within a complex FMCG, retail, or distributed global enterprise.\n, • Execution Mastery: Expert-level command of WBS, risk mitigation frameworks, and large-scale, tech-driven business model redesigns.\n, • Commercial Fluency: Success in leveraging technology to drive global client engagement, retention, and business development across global markets.\n\n With an experimental mindset, you may hold valuable experience gained from: \n Manufacturing, Management Consulting, FMCG, Technology. \n Sector experience: Management Consulting, Manufacturing, B2C, Consumer Products, Retail. \n Desirables: Languages, First Degree, Consulting, Matrix Operations, IT Literacy. \n Applicants - please provide a CV which adequately describes your background, together with details which contextualise & evidences, your leadership experiences and readiness, for this critical leadership role. \n Evestigio Ltd operates Executive Search & Live-File (Candidate Retained)

We work with a range of UK employers actively hiring across these roles. \n Job Description: \n UK-Based (On-Site, Hybrid or Remote) \n About the Role \n We're looking for talented Quantitative professionals at all levels—from Quantitative Analyst and Quantitative Researcher through to Quant Developer, Quantitative Risk Analyst and Senior / Lead Quant—for upcoming roles across the buy-side, sell-side, risk and fintech. This is where serious mathematics, programming and financial markets meet: you'll build the models that price instruments, manage risk and find the edge. \n You'll work across the full quantitative lifecycle—from research and model development through to implementation, validation and production. The role suits someone who pairs genuine mathematical and statistical depth with strong software engineering and the intellectual honesty to know exactly what a model can and can't be trusted to do. \n Key Responsibilities \n\n • Develop, test and implement quantitative models—pricing, risk, signal / alpha or execution\n, • Apply statistical and machine learning methods to financial and market data\n, • Build and maintain pricing and valuation models across one or more asset classes\n, • Develop risk models—VaR, stress testing, scenario analysis, market and credit risk\n, • (Buy-side) Research signals, develop strategies and run rigorous backtesting\n, • Productionise models in robust, well-tested code\n, • Work with large financial and market datasets and the pipelines behind them\n, • Validate models, document methodology and support model risk and governance\n, • Partner with traders, portfolio managers, risk teams and technology\n\n What You'll Bring \n Technical Expertise: \n\n • Strong programming skills—Python (NumPy, pandas, scikit-learn) and / or C++, R, q/kdb+, SQL\n, • Solid mathematics and statistics—probability, stochastic calculus, linear algebra, optimisation and time-series analysis\n, • Machine learning where it's applied to genuine financial problems\n, • Financial markets knowledge—instruments, pricing and risk across one or more of equities, FX, rates, credit, derivatives or crypto\n, • Discipline in modelling, backtesting and validation\n, • Big data and cloud tooling is a plus\n\n A note on background: this lane overlaps heavily with data science and ML engineering—if you're a strong Data Scientist or ML Engineer with the mathematical depth and an appetite to move into financial markets, we'd genuinely welcome the conversation. \n Analytical & Soft Skills: \n\n • Analytical rigour and intellectual honesty about model assumptions and limits\n, • Communication—able to explain a model to non-quant stakeholders\n, • A research mindset and real curiosity\n, • Strong attention to detail and a healthy risk awareness\n, • Collaborative approach across desks, risk and technology\n\n Domain Flexibility: \n\n • Roles span hedge funds and asset managers (buy-side), banks (sell-side), risk functions, trading firms and quant-driven fintech\n, • Background in any of these is welcomed; appetite to learn an adjacent asset class or desk valued just as much\n\n Experience Level: \n\n • Minimum 2+ years for Quantitative Analyst, 5+ for Senior, 8+ for Lead / Principal\n, • An MSc or PhD in a quantitative discipline (mathematics, physics, statistics, computer science, engineering or financial engineering) is common; CFA or CQF a plus\n, • Examples of models, strategies or risk frameworks you've developed and taken into production\n\n What We Offer \n\n • The opportunity to work where quantitative rigour translates directly into pricing, risk and returns\n, • Exposure to modern quantitative tooling, large financial datasets and production model environments\n, • Roles at the level you're ready for—we're hiring across the full quant spectrum\n, • A collaborative environment where mathematical depth and engineering craft are both valued\n, • A genuine bridge for strong data and ML talent looking to move into financial markets\n, • Flexible working arrangements (on-site, hybrid or remote) and supportive team culture\n\n Job Type: Full-time \n Benefits: \n\n • Flexitime\n, • Work from home\n\n

Senior Director, AI, Data & Analytics \n London, 2 days a week in office | Up to £165,000 \n This is a rare opportunity to take ownership of the data, analytics and AI strategy within a highly influential organisation operating in a complex, international environment. Sitting within the senior leadership team, you will play a pivotal role in shaping how data, insight and advanced analytics drive commercial decision-making, operational efficiency and digital transformation. \n The Company \n This organisation operates within a highly regulated global sector and supports strategic sourcing and supply chain activities across international markets. They are investing significantly in their data, analytics and AI capabilities to ensure data becomes a strategic asset across the business. \n The Role \n Senior Director, AI, Data & Analytics, you will be responsible for defining and delivering the organisation's enterprise data, analytics and AI strategy. \n Responsibilities include: \n\n • Developing and executing the overall data, analytics and AI roadmap aligned to business priorities\n, • Leading multiple teams across data engineering, analytics, business intelligence, insight and data science\n, • Driving adoption of data-driven decision-making across senior leadership and business functions\n, • Establishing robust data governance frameworks, ownership models and data quality standards\n, • Shaping the organisation's approach to AI and machine learning, identifying opportunities to create measurable business value\n, • Overseeing modern data platforms, architecture and analytics capabilities\n, • Delivering strategic insight that influences commercial, operational and procurement decisions\n, • Building strong relationships with senior stakeholders across a complex matrix environment\n, • Championing data literacy and fostering a culture of innovation, collaboration and continuous improvement\n, • Managing and developing a high-performing team while supporting ongoing capability growth\n\n Your Skills & Experience \n You will bring: \n\n • Experience in a senior leadership role within data, analytics, business intelligence or insights\n, • A proven track record of developing and implementing enterprise data strategies\n, • Strong expertise across analytics, reporting, business intelligence and strategic insight\n, • Experience leading advanced analytics, machine learning or data science functions\n, • Knowledge of data governance, data quality and enterprise data management best practices\n, • Experience operating within large, complex or matrix organisations\n, • The ability to influence executive stakeholders and drive organisational change\n, • Strong commercial acumen with the ability to translate data into business outcomes\n, • Experience leading multidisciplinary teams and creating high-performance cultures\n, • Excellent communication and stakeholder management skills\n\n What They Offer \n\n • Salary up to £165,000\n, • Senior leadership position with significant strategic influence\n, • Opportunity to shape and mature enterprise data, analytics and AI capabilities\n, • Leadership responsibility for a sizeable multidisciplinary team\n, • Exposure to complex, business-critical transformation initiatives\n, • Collaborative culture with strong executive sponsorship\n, • Excellent long-term career progression opportunities\n\n How to Apply \n If this sounds like the role for you, apply below!

This senior role leads national business development for an AI-driven diagnostic technology, driving strategic partnerships with healthcare providers, clinical networks, and major health systems. You will own the commercial strategy, build high-value relationships, and lead the full enterprise sales cycle for a next-generation medical AI platform. \n Client Details \n Our client is an innovative AI MedTech company developing advanced diagnostic solutions that support clinical decision-making and improve patient outcomes. Their technology uses machine learning and intelligent data analysis to enhance diagnostic accuracy, reduce clinical workload, and streamline pathways across multiple disease areas. \n Description \n As Business Development Director, you will lead national commercial expansion for an AI diagnostic platform, focusing on enterprise-level sales and strategic partnerships. This is a high-impact, consultative, and relationship-driven role requiring deep engagement with clinical, operational, and commercial stakeholders across healthcare. \n \n Key responsibilities include: \n\n • Designing and executing the UK business development strategy for AI-driven diagnostic technology.\n, • Identifying, targeting, and securing partnerships with hospitals, private providers, imaging networks, pathology services, and integrated care organisations.\n, • Leading complex enterprise sales cycles involving pilots, evidence generation, clinical validation, procurement, and multi-stakeholder evaluation.\n, • Engaging with C-suite, clinical directors, diagnostic leads, digital transformation teams, and procurement leaders.\n, • Creating compelling value propositions focused on improved diagnostic accuracy, efficiency gains, and pathway optimisation.\n, • Collaborating with Product, Clinical, and Implementation teams to ensure successful onboarding, adoption, and long-term system integration.\n, • Representing the organisation at medical congresses, AI in healthcare events, and diagnostics conferences.\n, • Maintaining accurate forecasting, CRM discipline, and reporting on commercial progress.\n, • Leading strategic initiatives including market mapping, competitive positioning, and new vertical expansion.\n\n \n Profile \n The ideal candidate will bring: \n\n • Senior commercial experience in medical devices, digital health, AI solutions, diagnostics, imaging, or health-tech enterprise sales.\n, • Proven track record in winning large, complex deals with healthcare organisations.\n, • Deep understanding of diagnostic workflows, clinical pathways, imaging, AI adoption, or digital transformation within healthcare.\n, • Ability to communicate complex technical value to both clinical and commercial audiences.\n, • Strategic business planning capability and experience shaping commercial go-to-market strategy.\n, • Strong C-suite engagement skills, with confidence managing multi-stakeholder procurement processes.\n, • A proactive, entrepreneurial mindset suited to a scaling technology organisation.\n, • Flexibility to travel across the UK (and internationally when required).\n\n \n Job Offer \n\n • Highly competitive salary plus performance-driven bonus.\n, • Company car allowance or executive travel package.\n, • Strategic leadership role with national impact and visibility.\n, • Opportunity to shape commercial strategy in a fast-scaling AI diagnostics business.\n, • Collaborative, mission-driven culture with strong investment in innovation.\n, • Flexible working with UK travel and regular engagement with leading clinical partners.\n

Scrum Project Manager - Data & AI\n Remote (UK) | 12-Month Contract | Global Life Sciences Organisation \n We're supporting a global Life Sciences organisation on a major Data & AI transformation programme that's reshaping regulatory processes through automation, advanced analytics and AI. This is a fantastic opportunity to play a key role in delivering meaningful change on a high-profile programme with real-world impact. What you'll be doing\n As Scrum Project Manager, you'll work across business and technical teams to drive Agile delivery, ensuring projects are delivered efficiently while keeping stakeholders aligned and engaged. \n You'll be responsible for: \n\n • Leading delivery using Agile and Scrum methodologies.\n, • Facilitating Scrum ceremonies including sprint planning, stand-ups, reviews and retrospectives.\n, • Coordinating cross-functional teams across business, technology and data functions.\n, • Translating business requirements into clear user stories and delivery plans.\n, • Managing project timelines, risks, dependencies and key milestones.\n, • Removing delivery blockers and driving continuous improvement.\n, • Building strong relationships with Product Owners, technical teams and senior stakeholders.\n, • Reporting on delivery progress, risks and outcomes to programme leadership.\n, • Supporting the adoption of AI-enabled and data-driven ways of working.\nWhat we're looking for\n You'll be an engaging and collaborative delivery professional who enjoys bringing teams together and creating momentum within Agile environments. \n You'll ideally have: \n\n • Proven experience as a Scrum Project Manager, Scrum Master or Agile Project Manager.\n, • Strong experience delivering complex projects using Agile and Scrum methodologies.\n, • Experience working closely with software development, technology or data teams.\n, • The ability to translate business requirements into structured delivery plans and technical solutions.\n, • Excellent stakeholder management and communication skills.\n, • A proactive approach to problem-solving with the confidence to remove blockers and challenge where appropriate.\n, • Experience managing project risks, dependencies and delivery reporting.\nNice to have\n\n, • Experience within Life Sciences, Pharmaceuticals or another regulated industry.\n, • Exposure to Data, AI, Machine Learning or Large Language Model (LLM) programmes.\n, • Experience supporting regulatory, compliance or digital transformation initiatives.\n, • Scrum Master certification (PSM, CSM or equivalent).\n\n

Job Description: Data Engineer \n Location: London/Hybrid – Office two+ days per week \n We’re hiring data engineers who want to take ownership in a fast-scaling startup \n About Clariti AI \n Clariti AI is a B2B SaaS company providing price optimisation software to retail banks. We help banks make pricing decisions on products like mortgages and savings. Our pricing software guides clients to price recommendations that are worth millions of Pounds or Euros in additional revenue. \n This is an exciting time to join the company, with a growing set of clients in the UK and Ireland. After recent successes, Clariti AI has built a very promising pipeline of new clients, with revenues expected to increase significantly in the next year. The company is bootstrapped (no VC or angel investment) and is already very profitable. \n Data Engineer \n This data engineer role will play a key role in helping us improve the production quality of our software as we scale. Our software offering has a significant financial impact for our clients and needs to be outstanding for our clients to get value. \n As an early joiner, the Data Engineer role is key, and provides multiple opportunities for the right person to grow significantly. There are many things to focus on depending on experience and interests. The role is all about pro-active "building and improving", whether that is scaling our infrastructure as we take on more clients and larger clients, streamlining and automating data refresh processes, improving our data security, building and deploying machine learning models, or getting involved with client pitches. \n What you'll be working on \n\n • Building, optimising, and deploying price optimization machine learning ETL/ELT pipelines and data processes.\n, • Improving and adapting our data infrastructure and code base as we scale – including collaboration, security, scalability, efficiency, automation and auditability.\n, • Interacting with new clients on client pitches, and working with existing clients to onboard our software, offering engineering and pricing expertise.\n\n Essentials: \n\n • Strong academic background with a minimum bachelor’s or master’s degree in a STEM subject (Computer Science, Mathematics or Engineering)\n, • At least 2 years’ experience working as a data engineer (ideally consulting / financial services) – salary and level will reflect experience.\n, • Proficiency in Python (pandas, numpy)\n, • Professional experience with Azure cloud services (AWS / GCP acceptable with deeper experience)\n, • Strong experience deploying clean, maintainable, production-level code.\n, • Basic understanding of DAG (Directed Acyclic Graphs) and their role in pipeline orchestration\n\n It would be nice if you could bring (desirables): \n\n • Professional experience with PySpark, MySQL, Docker, Kubernetes\n, • Experience with best-practice pipeline orchestration software (Airflow, Dagster).\n, • Experience migrating code from prototype notebooks to .py, while maintaining logic and transparency of underlying code\n, • Owned a project across a whole software product lifecycle, from data infrastructure, to model development and deployment, to front-end integration\n, • Experience of pricing analytics and/or optimization ideally in retail banking\n, • Experience in producing PowerPoint presentations / reports and presenting to clients or colleagues\n, • Willingness to get involved in all parts of the business – we are a small company so we all wear many hats\n, • An entrepreneurial spirit and drive to work in an early-stage start-up that directly rewards impact\n\n \n Tech stack: \n\n • Platform: We build everything in Azure (but sometimes need to work in other cloud providers like AWS depending on client’s needs).\n, • Backend – We develop all our code in Python\n, • Front-end – MySQL and jQuery/React\n\n What we offer \n\n • A highly competitive salary\n, • A genuinely compelling profit share scheme, with the potential to own a significant stake in the business\n, • Equity options that deliver significant gains if the company is acquired\n, • Flexible working hours\n, • “Work anywhere” for up to two months a year\n, • A significant opportunity to grow quickly with regular performance-based promotions and pay increases\n, • 25 days per year holiday allowance, increasing by one day per year after two years’ service to 30 days\n\n Other \n\n • We cannot sponsor visas, so only applicants with the permanent right to work in the UK will be considered\n, • Successful applicants should be willing to work in London up to two days a week and should be willing to travel to clients occasionally\n\n \n \n

\n By applying to this position you will have an opportunity to select your preferred working location from the following: Frankfurt am Main, Germany; Munich, Germany; London, UK. Qualifications\n \n • Bachelor's degree or equivalent practical experience.\n, • 7 years of experience in data architecture, data engineering, or a related field.\n, • 5 years of experience working with data platforms and technologies.\n, • Experience designing and implementing data solutions for enterprise customers with hybrid and multi‑cloud in the financial markets industry.\n, • Experience with data modeling and graph databases (e.g., RDF, property graphs, or graph databases).\n Preferred qualifications\n \n, • Google Cloud certifications (e.g., Professional Data Engineer, Professional Cloud Architect).\n, • Experience designing and implementing data governance, security, and compliance in a highly regulated environment.\n, • Experience contributing to open‑source data projects.\n, • Familiarity with machine learning and AI concepts and their application in data management and analysis.\n, • Knowledge of emerging agentic technologies and their implications for data architecture.\n Responsibilities\n \n, • Act as a primary technical point of contact for a large, complex financial services customer, building deep relationships with key stakeholders (e.g., CTOs, CDOs, Data Architects).\n, • Design and implement data governance frameworks, including data lineage, metadata management, access controls, and compliance with industry regulations (e.g., GDPR, CCPA, BCBS 239).\n, • Develop and advocate strategies for federating data responsibility across different business units and technical teams, enabling decentralized data ownership while maintaining centralized oversight and consistency.\n, • Design and implement data capabilities that seamlessly span across on‑premise environments and multiple cloud providers, ensuring data portability, interoperability, and consistent access.\n, • Identify and address data requirements for emerging agentic technologies, such as real‑time data streaming, vector databases, and secure data sharing for autonomous agents.\n Salary & Benefits\n Germany: €148,000 – €152,000 (EUR) + 20% bonus target + equity + benefits. \n Individual pay is determined by factors including job‑related skills, experience, and relevant education or training. Employment Requirements & Language\n English proficiency is a requirement for all roles unless stated otherwise. EEO Statement\n Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire. \n #J-18808-Ljbffr

\n Global Banking & Markets - London - Associate / Vice President - Business Analyst Job Description\n Payments Engineering Business Analyst (Associate / VicePresident) \n WHO WE ARE \n At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Transaction Banking (TxB) aims to bring innovative solutions to traditional banking and lending activities. We are a global team of lenders, investors, risk managers, skilled marketers, web experts and banking specialists. We provide a suite of solutions to help our customers meet their financial goals. We make direct investments in and manage risk for a portfolio of corporate loans and securities. We help transform distressed communities through investments and loans of private capital. \n THE TEAM \n Payments lay at the heart of what we are doing in Corporate Cash Management and our mission is to build a market leading payment platform that meets our corporate client's needs. We are starting with a clean slate and one singular goal in mind: Build a highly scalable, resilient, 24x7 available cloud-based payment platform that our corporate clients can run rely on to run and grow their businesses. \n HOW YOU WILL FULFILL YOUR POTENTIAL \n As a Technical Payments Business Analyst (Associate / Vice President) within our Payments Engineering organization, you will bridge the gap between business strategy and technical execution. Leveraging your software engineering or technical background, you will dive deep into the system architecture, understand complex data flows, and translate high-level business and product requirements into robust technical specifications and system designs. You will collaborate closely with developers, architects, product managers, and operations teams to design scalable payment solutions. Your domain expertise in global payment rails and messaging standards (such as ISO 20022) will enable you to guide the engineering team through complex implementations, manage application lifecycles, and coordinate key compliance and attestation processes. This is a highly flexible role with significant growth potential, offering a clear path to transition into technical leadership or management. \n RESPONSIBILITIES AND QUALIFICATIONS \n Key Responsibilities: \n \n • Technical Requirements & Design: Partner with product managers and business stakeholders to elicit requirements, and translate them into detailed technical specifications, system designs, and clear user stories for the engineering team.\n, • System & Architecture Understanding: Leverage your technical background to understand system dependencies, data models, and API integrations, ensuring proposed solutions are technically feasible and align with platform architecture.\n, • Stakeholder Management: Act as a key liaison and trusted partner between Payments Engineering, Product Management, Operations, and Compliance to align on priorities, manage expectations, and drive delivery.\n, • Payment Domain Leadership: Serve as a subject matter expert on payment processing, messaging standards (e.g., ISO 20022), and clearing networks, helping to guide the technical implementation of payment features.\n, • Compliance & Attestation Support: Coordinate and support annual scheme attestations, audits, and evidence collection for key payment rails, ensuring the platform meets all regulatory and operational standards.\n, • Agile Delivery: Actively participate in and drive Agile ceremonies (Scrum/Kanban), manage the technical backlog, and help unblock developers during the implementation phase.\n \n Basic Qualifications: \n \n • Education & Background: B.S. or higher in Computer Science, Software Engineering, or a related technical field (or equivalent practical technical experience).\n, • Experience: Minimum 3 years of professional experience in a technical business analyst, systems analyst, or techno-functional product role within a payments or financial technology environment.\n, • Technical Acumen: Strong understanding of software development lifecycles (SDLC), system architecture, APIs, and data modeling, with the ability to read technical documentation and discuss system designs with developers.\n, • Payments Expertise: Deep knowledge of payment processing, transaction lifecycles, and messaging standards, specifically ISO 20022 and global/domestic payment rails.\n, • Stakeholder Management: Proven track record of managing diverse stakeholders, bridging the gap between highly technical engineering teams and non-technical business partners.\n, • Agile Methodologies: Comfort working in Agile operating models (practical experience with Scrum / Kanban, Jira, and Confluence).\n \n Preferred Qualifications: \n \n • Prior experience as a software developer or systems engineer before transitioning into a business analyst or product role.\n, • Familiarity with UK domestic payment rails (FPS, CHAPS, BACS) and experience handling annual scheme attestations or compliance audits.\n, • Experience with payment vendor products (e.g., Finastra GPP, Volante, Fircosoft) or cloud-native payment architectures (e.g., AWS).\n, • Understanding of payment regulations (e.g., PSD2/PSD3, Open Banking) and AML/sanctions screening.\n, • Ambition and capability to grow into a leadership or people‑management role within a fast‑paced engineering organization\n \n ABOUT GOLDMAN SACHS \n At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. \n We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. \n We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html \n Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Job Info\n \n • Job Identification 178602\n, • Job Category Associate\n, • Posting Date 07/16/2026, 04:14 PM\n, • Locations London, Greater London, England, United Kingdom\n \n Healthcare & Medical Services \n We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally \n We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. \n Financial Wellness & Retirement \n We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities. \n Health \n We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices. \n Fitness \n To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount). \n We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. \n Benefits at Goldman Sachs \n Read more about the full suite of class-leading benefits our firm has to offer. \n #J-18808-Ljbffr

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.