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Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

Junior AI Developer Programme – Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. The Programme This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 – £40,000 Who This Is For Ideal for beginners and career changers with an interest in coding and AI. UK learners only. Apply now. Limited availability.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

Junior AI Developer Programme – Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. The Programme This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 – £40,000 Who This Is For Ideal for beginners and career changers with an interest in coding and AI. UK learners only. Apply now. Limited availability.

We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground‑breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting‑edge technologies into secure, scalable, and high‑performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world‑class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world‑class position. • Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third‑party vendor selection and integration., • Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security., • Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third‑party commodities, for porting self‑serving AI in‑house developed solutions., • Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles., • Partner with product and engineering teams to translate business requirements into scalable AI solutions., • Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies., • Ensure optimized integration of AI solutions with existing systems and data sources., • Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high‑level advice on opportunities and possible solutions., • Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices., • Provide technical guidance and mentorship to the engineering teams., • Foster strong relationships with stakeholders, including business leaders, product managers., • Collaborate with senior leadership to align AI initiatives with organizational goals., • Communicate complex technical concepts to non‑technical stakeholders effectively., • Promote a collaborative and innovative AI culture within the whole organisation., • Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions., • Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails., • Work closely with the procurement and legal team in the negotiations with vendors., • Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI., • Ensure compliance with industry standards and international regulations., • Advanced degree in Computer Science, AI, or a related field., • Contributions to open‑source AI projects or published research in AI/ML., • Extensive experience in software or systems architecture, with strong focus in AI/ML domains., • Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol., • Deep understanding of LLMs, prompt engineering, model evaluation, and fine‑tuning strategies., • Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP)., • Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools., • Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks., • Excellent leadership, communication, and interpersonal skills., • Strong analytical and problem‑solving abilities., • Ability to work in a fast‑paced, dynamic environment. 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 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. #J-18808-Ljbffr

We are looking for a Principal Architect to lead our technology strategy in AI (Artificial Intelligence), Generative AI, IA (Intelligent Automation) and agentic solution development. As a vital force driving the strategic and technical evolution of the Global Streaming Platform, this role empowers the organisation to harness ground‑breaking advancements in AI, including Large Language Models (LLMs), agent workflows, and machine learning infrastructures. By seamlessly integrating these cutting‑edge technologies into secure, scalable, and high‑performance enterprise solutions, the Principal Architect will enable transformative growth and ensure the company maintains its position as a world‑class leader. This role requires deep knowledge in AI and IA technologies, strong architectural skills, and a strategic approach to recommend tailored platform transformations and deliver advanced AI solutions to maintain the business at its world‑class position. • Oversee the comprehensive architecture strategy for developing and deploying AI applications and solutions, considering data management, cybersecurity, legal aspects, appropriate platform and infrastructure adaptation and third‑party vendor selection and integration., • Recommend the tailored level of transformation required within the current platform to adapt and exploit at scale the adoption of AI based technologies guaranteeing cost efficiency, reliability, performance and security., • Design and maintain an AI extension to the platform as an integrated technology stack, independent of any specific vendors but capable of integrating with major AI models and third‑party commodities, for porting self‑serving AI in‑house developed solutions., • Contribute to the AI roadmap and identify AI driven efficiency, innovation or automation opportunities maintaining alignment with business goals, regulatory or compliance requirements and ethical principles., • Partner with product and engineering teams to translate business requirements into scalable AI solutions., • Lead the evaluation, selection, and integration of AI platforms and models, tools, and technologies., • Ensure optimized integration of AI solutions with existing systems and data sources., • Collaborate with the product teams to assist in the refinement of AI related product requirements, and to provide early, high‑level advice on opportunities and possible solutions., • Stay current with emerging AI trends, technologies, protocols, research breakthroughs, model development and AI software design pattern and best practices., • Provide technical guidance and mentorship to the engineering teams., • Foster strong relationships with stakeholders, including business leaders, product managers., • Collaborate with senior leadership to align AI initiatives with organizational goals., • Communicate complex technical concepts to non‑technical stakeholders effectively., • Promote a collaborative and innovative AI culture within the whole organisation., • Work closely with project managers, data scientists, developers and IT teams to define project scope, objectives, deliverables and solutions., • Partner with the FinOps team to ensure implementation of adequate monitoring and budgetary guardrails., • Work closely with the procurement and legal team in the negotiations with vendors., • Establish governance and define internal standards, guidelines, and best practices to ensure data privacy, security, and ethical use of AI., • Ensure compliance with industry standards and international regulations., • Advanced degree in Computer Science, AI, or a related field., • Contributions to open‑source AI projects or published research in AI/ML., • Extensive experience in software or systems architecture, with strong focus in AI/ML domains., • Proven experience designing and deploying AI solutions using frameworks such as LangChain, RAG, and vector databases or the MCP protocol., • Deep understanding of LLMs, prompt engineering, model evaluation, and fine‑tuning strategies., • Strong proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP)., • Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools., • Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks., • Excellent leadership, communication, and interpersonal skills., • Strong analytical and problem‑solving abilities., • Ability to work in a fast‑paced, dynamic environment. 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 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. #J-18808-Ljbffr

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

Head of AI, Global Marketing Heathrow (50/50 Hybrid) Up to £630/day (Inside IR35) Duration: 12-Month Contract The Mission: Lead the Transformation to AI-First Marketing Our client is revolutionising travel through technology. As AI continues to reshape the commercial landscape, they are building a world-class, AI-first marketing capability to drive smarter execution, stronger performance, and exponential business growth. We are seeking a visionary senior leader to define, own, and execute the AI strategy across Global Marketing-permanently embedding AI into how the brand plans, executes, and delivers value at scale. The Role Focus As the Head of AI for Global Marketing, you will bridge the gap between cutting-edge technology and commercial marketing execution. Your mandate will include: Strategy & Roadmap: Define and implement the overarching AI strategy and roadmap for the global marketing function. Workflow Integration: Embed AI tools into end-to-end marketing workflows to radically boost efficiency and effectiveness. Operating Model: Build, scale, and future-proof an AI-first marketing operating model across global, regional, and local teams. Governance & Risk: Partner with enterprise AI, tech, and risk teams to establish robust governance and ethical AI frameworks. Capability & Adoption: Drive organizational change, upskilling teams and fostering a culture of AI adoption. Value Realisation: Establish metrics to measure, optimize, and showcase AI-driven impact on marketing performance and the pipeline. About You You are a heavyweight marketing transformation specialist who thrives in complex environments. To be successful, you will bring: Senior Leadership: A proven track record as a senior B2B marketing leader within global, matrixed organisations. Transformation Expertise: Demonstrated experience delivering large-scale AI, automation, or data-driven marketing transformations. Domain Knowledge: A deep, practical understanding of AI applications in marketing (e.g., generative content, advanced campaigns, predictive personalisation). Change Management: Exceptional ability to shape new operating models, ways of working, and organizational mindsets. Influence: A collaborative, pragmatic approach with the gravitas to align diverse stakeholders and a relentless focus on measurable commercial impact. Why This Role? This is a high-visibility, career-defining contract. You will have the mandate and backing to build an AI-first marketing ecosystem from the ground up for a global travel technology leader-shaping how the business operates and performs for years to come. Keywords; AI Strategy, AI Transformation, GenAI, Generative AI, Artificial Intelligence, Machine Learning adoption, AI governance, AI operating models, data-driven transformation, digital transformation, automation, AI implementation, technology transformation, change management. Global Marketing, B2B Marketing, marketing execution, marketing workflows, marketing automation, predictive personalization, campaign optimization, content automation, marketing performance, pipeline generation, martech, marketing technology, commercial marketing Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate £1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd acts as an Employment Business in relation to this vacancy

Senior Machine Learning Engineer (Python AWS MLOps) Remote UK to £105k Are you a tech savvy Machine Learning Engineer with experience of implementing ML algorithms into production? You could be progressing your career in a senior, hands-on role as part of a friendly and supportive international tea

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. At a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps. ‘Please note that this is a training course and fees apply

Im looking for Machine Learning Engineers (and Senior Data Scientists with strong engineering capability) who have real, hands-on experience building GenAI applications end-to-end. Senior Machine Learning Engineer - GenAI, LLM, RAG - 12 month contract.

Working with a financial services client who are looking for a Machine Learning Engineer to design, build and deploy advanced analytical solutions that drive business value. This role is ideal for someone who combines strong statistical and machine learning expertise with hands-on experience product

SC-cleared Machine Learning Engineer. This role focuses on designing, building, and deploying scalable machine learning solutions to enable advanced analytics, automation, and decision-making across complex government systems. Proven experience as a Machine Learning Engineer within central governmen

A privately backed AI technology company operating at the intersection of machine learning in the media industry.

Senior Artificial Intelligence / Machine Learning Engineer. The Senior Machine Learning Engineer will play a key role in shaping the future of voice technology, building the intelligence that makes voice-led experiences feel natural, responsive, and effortless. You will design, develop, and maintain

Machine Learning Engineer - Defence. The focus is on solving complex problems through advanced machine learning and AI capabilities within constrained and high-assurance environments.

Machine Learning Quant - Start Up.

As a Machine Learning Implementation Engineer, youll be responsible for taking AI.

This role sits at the intersection of data engineering and ML infrastructure: youll design and operate data pipelines that feed models, and youll build the tooling that trains, deploys, monitors, and retrains them.Youll work closely with research engineers and product teams, taking models from exper

Senior Machine Learning Engineer, Quantization, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️. A global leading business is hiring a Senior Machine Learning Engineer. Experience and skills required for the Senior Machine Learning Engineer, Quantisation, PEFT, DeepS

We are seeking an experienced Machine Learning Engineer to develop, train and optimise advanced computer vision and machine learning systems for deployment in constrained edge environments. You will work on cutting-edge computer vision systems, helping deliver highly efficient machine learning model

White Collar Factory (95009), United Kingdom, London, LondonStaff Software Engineer - Machine LearningAbout this roleWe’re on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. What You'll DoOwn and drive the ML/AI technical strateg

Hybrid Salary:Up to £90k Are you an AI/ML Engineer who enjoys solving complex real-world problems where machine learning directly impacts operational outcomes? We're looking for an experienced engineer to join a specialist team developing next-generation AI and machine learning capabilities for adv

As a Senior Machine Learning Engineer, you will use your skills to: Tune machine learning methods to best leverage our state-of-the-art processing capabilities Deploy and maintain machine learning methods in a DevOps / MLOps based machine learning environment Create robust high-quality code using te

The Opportunity As a Senior Data Scientist & Machine Learning Researcher, you will play a key role in the technical leadership, design and delivery of AI and machine learning projects from concept through to deployment. Gloucester | London | Manchester Working with a leading National Security and Cy

The AI Forward Deployed Engineer will work across both traditional Machine Learning and modern Generative AI domains, delivering production-grade solutions and rapid proof-of-concepts that enable large-scale AI transformation. Strong hands-on experience in building and deploying Machine Learning sys

We are looking for a Machine Learning Ops Engineer to help operationalise machine learning across Affinity Water on a 24 month FTC. Learning and development opportunities, including mentoring and a range of formal courses and open learning resources.

Hands-on experience in delivering machine learning models to production at scale. Strong understanding of machine learning applications development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps, agile methodologies, monitoring and alerting. A genuine passion

You will play a key role in designing, building, and productionising machine learning solutions across a range of use cases. Building and deploying machine learning models into live production environments. Strong commercial experience developing machine learning solutions in Python.

Managing, coaching and developing a team of Machine Learning specialists, helping them do the best work of their careers through regular 1:1s, clear feedback and thoughtful development plans. Contributing to the wider Machine Learning and Data discipline at Monzo, including hiring, improving ways of

We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. Machine Learning Engineer (Computer Vision). You will be responsible for designing, training, and deploying

The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs.As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, r

We use machine learning to model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.

Machine Learning Engineering Lead.

As a Head of Machine Learning - Core Experience at Trainline you will…. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days.

Machine Learning Lead Engineer. We’re looking for a Machine Learning Lead Engineer who wants to operate as a player‑coach — someone still very hands‑on, but excited to grow into a proper management role over time.

Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or related field (required). AI/ML engineering, applied machine learning, or advanced analytics. Deep expertise in machine learning algorithms, neural networks, large‑scale architectures, and modern AI

Principal Machine Learning Engineer – Sports AI & Personalisation. They’re building next-generation platforms that use machine learning, computer vision, and generative AI to transform how millions of fans engage with live sport; from real-time insights and predictive analytics to highly persona

We’re seeking a Senior Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding, safety, and decisioning across the platform. Shape the machine learning strategy for content understanding and platform-level decisioning. You have strong experience

Senior Machine Learning/ MLOps / Data Engineer. This role sits at the intersection of Data Engineering and Machine Learning Engineering, with a strong focus on building and productionising end-to-end ML pipelines. Deploy and monitor machine learning models in production environments.