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

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

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. At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role. Ma

Higher is partnering with a leading defence-tech company to hire a Machine Learning Engineer.

Staff Machine Learning Engineer (Technical Lead, Machine Learning). Staff Machine Learning Engineer. Working at the intersection of research, infrastructure, and product, you'll be responsible for turning research direction into reliable, scalable, production‑grade machine learning systems.

Fuelled by innovation, inclusivity, and a passion for making a global impact through world‑leading Speech AI, we’re looking for an experienced Principal Machine Learning Engineer to accelerate our efforts towards exceptional speech solutions. We are hiring a Principal Machine Learning Engineer t

This is an early hire into a newly forming London engineering team. Partner with product and engineering to translate problems into data‑driven systems. Contribute to technical direction and raise engineering standards.

Principal Machine Learning Engineer, Matching and Recommendations at Bumbleinc. About the role You will spearhead the technical direction for the machine learning systems that drive personalization and ranking across the Bumble platform. This role focuses on scaling production models to improve user

Ship a consumer- facing solution within weeksExtensively collaborate with Product, Software Engineering, Lens Content and Data Science teams to prototype new ideas, integrate ML models and APIs into production, and refine them through A/B testing and user feedbackActively monitor the market and rese

Machine learning for search, ranking, recommendations or personalisation. Principal Machine Learning Scientist. Principal Machine Learning Scientist.

We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, an

Machine Learning models, with a significant focus on reinforcement learning. The DUE ML Core London team builds and operates scalable machine learning systems, simulation workflows, and insight tools designed to improve the evaluation and developer onboarding journeys. By combining expert human judg

In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Strong software engineering skills with a proven track record of building complex systems. We’re looking for a Researc

Contribute to a compiler for a novel processor designed to accelerate machine learning workloads. The Core Machine Learning (ML) Organization drives ML excellence for Google. The Core ML organization is responsible for creating a cohesive, well lit path for machine learning at Google.

InstaDeep is looking for Research Engineers to join our Research Team in London, working at the intersection of machine learning and life sciences. Our in-house Research Team aims to build foundational expertise and develops the next-generation in of deep learning technologies for life science appli

Machine Learning models, with a significant focus on Reinforcement Learning. By combining expert human judgment with advanced machine learning models, we deliver training and evaluation data for hundreds of metrics and components that comprise the Waymo Driver. Oversee the production and optimizatio

You’ve built and shipped CV‑focused deep learning systems and can demonstrate strong applied ML engineering (not research‑only). We believe autonomy represents a once‑in‑a‑generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human�

As a Research Engineer within Reinforcement Learning, you will collaborate with researchers and engineers to advance the capabilities and safety of large language models. Experience with machine‑learning frameworks (PyTorch, TensorFlow, JAX). Collaborate with research and engineering teams to deve

Principal Machine Learning Engineer. 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. Lead the end‑to‑en

Research Engineer, Machine Learning (RL Velocity). Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. As a Research Engineer on the team, you'll build and improve the core platform that underp

Anthropic, based in London, is seeking a Research Engineer, Machine Learning to advance RL capabilities and safety for large language models. You will build scalable RL infrastructure, test training environments, and collaborate with research and engineering groups to deliver production‑quality sy

You’ll join the existing Risk Decisioning data science function here at Cleo; a thoughtful and collaborative team of ML engineers, analysts, and data engineers with significant industry experience that is at the heart of everything we do at Cleo. You’ll be working on a hugely impactful workstrea

Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects. Driving the development of shared resources and libraries across the organisation and guiding other engineers in contributing to them. You can successfully manage and coa

As a Staff Machine Learning Engineer, you'll provide technical leadership for the ML infrastructure that underpins these capabilities, working across teams to define the architecture, roadmap and engineering direction for the next generation of our platform. Mentor engineers and promote engineering

As a Principal Machine Learning Engineer, you'll serve as the definitive technical authority on ML engineering across the organisation, setting the standard for how we design, build, and scale AI systems. Defining and owning the organisation‑wide technical vision for ML engineering, establishing a

Graham Capital in Greater London is looking for a Machine Learning Engineer to join their Data Science team. Candidates should have at least 3 years of experience with Machine Learning on large data sets and proficiency in Python.

The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. We are looking for researchers and software engineers who are passionate about developing machin

The Machine Learning Engineer will play a key role in shaping the company's Al trajectory. MSc in Machine Learning, Computer Science or a related field. Strong software engineering skills, with a focus velocity and collaboration.

Define and lead the technical strategy for AI and Machine Learning systems that power recommendations, ranking, and personalization across Bumble products, delivering measurable improvements in user engagement and safety. Champion responsible AI practices, ensuring fairness, transparency, and user s

You’ve built and shipped CV-focused deep learning systems and can demonstrate strong applied ML engineering (not research-only). We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven veh

As a Principal Machine Learning Engineer, you will be responsible for turning research direction into production-grade machine learning systems. Principal Machine Learning Engineer. Open‑source contributions to machine learning or systems libraries.

As a Staff ML Engineer on Gaia, you’ll own and drive work on training and improving frontier-scale models trained in-house. Partner closely with research, applications, simulation engineering, and cloud/infrastructure teams to deliver end-to-end impact. Provide technical leadership through mentors

Senior Machine Learning Engineer. Support the productionalization and evolution of the Oracles — entities that leverage machine learning to drive Prima’s microservices behavior. Get access to learning resources, mentorship, and a growth plan tailored to you.

As a Staff Machine Learning Engineer, you’ll provide technical leadership for the ML infrastructure that underpins these capabilities, working across teams to define the architecture, roadmap and engineering direction for the next generation of our platform. Mentor engineers and promote engineerin

Champion responsible AI practices, ensuring fairness, transparency, and user safety are embedded into all machine learning systems. Deep expertise in machine learning, with hands‑on experience building and deploying large‑scale systems in production environments. Define and lead the technical st

Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second. You believe engineering isn't finished until it\’s shipped and stable. We

As ML Engineer at Maze, you'll be the technical leader driving our machine learning infrastructure from experimentation to production, ensuring our AI-powered cybersecurity solutions deliver measurable impact for customers worldwide. Drive the actual productionization of LLMs and machine learning to

We’re seeking machine learning engineers to spearhead the development of next-generation of online dating. The ideal candidate thrives in a fast-paced environment, is a creative thinker, and has a proven track record in Generative AI and Machine Learning. Collaborate cross-functionally with teams

Lead Machine Learning Engineer - Risk Decisioning Office: United Kingdom Remote:Spain | UK Apply for this role. You’ll be working on a hugely impactful workstream, focused on the machine learning that underpins our Risk Decisioning feature. Extensive experience building and deploying Machine Learn

As they scale towards their next major milestone, they are seeking a Machine Learning Engineer to help build the AI platform powering the future of automated operations. Machine Learning Engineer, NLP | InsurTech, AI, Scale-up | London. Deploy, monitor, and scale machine learning solutions in a prod

Proficiency in machine learning, NLP, and deep learning algorithms, with experience using frameworks such as TensorFlow or PyTorch. Stay current with academic and industry advances in machine learning, NLP, and deep learning, and guide the team in applying them to real‑world challenges. We are see

Proficiency in machine learning, NLP, and deep learning algorithms, with experience using frameworks such as TensorFlow or PyTorch. Stay current with academic and industry advances in machine learning, NLP, and deep learning, and guide the team in applying them to real-world challenges. Minimum Qual

We are looking for an independent, dedicated Staff Machine Learning Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Lear

Strong experience as a Machine Learning Engineer, MLOps Engineer, AI Platform Engineer, Cloud ML Engineer, or similar role. As a Principal Machine Learning Engineer, you will support, design, develop, deploy, and maintain advanced software and infrastructure capabilities within the specialised techn

Clustering, Industry, Machine Learning, NLP, Parsing, United Kingdom. About the Research Engineering team. Engineers can move along the research↔production spectrum as needs or interests evolve.