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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.

Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provid

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

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 £30,000-£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 £30,000–£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

Trainee AI Programmer – 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 £30,000-£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 £30,000–£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

Youll work with data scientists, engineers, architects, and stakeholders to deploy, monitor, and maintain ML models in robust, scalable, and secure production environments, turning advanced analytics into sustained business value.

We're looking for a Machine Learning Engineer to design, build, and deploy data-driven models that solve complex problems and enhance real-world performance. Develop, train, and optimise machine learning models to support business and technical objectives. You'll work across the full ML lifecycle, c

Experience in commercial machine learning research and development. Experience working with data, training and evaluating machine learning models. Previously registered audio machine learning patents.

Junior Data Scientist/Junior Machine Learning Engineer. Proficiency oinn Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc. Experience Developing Machine Learning / Data Science models, from coding to deployment.

Staff Machine Learning Engineer – | 3 Roles | UK Remote. I'm working with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires. AI/ML engineering, shipping models in production.

Contract Machine Learning Engineer. ML enablement and platform engineering.

We’re looking for a Machine Learning Research Engineer to join an early-stage quantum computing start-up developing full-stack photonic quantum systems. Design, implement, and evaluate new machine learning algorithms, particularly generative models (GANs, flow models, diffusion models) and hybrid

Job title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating full

Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid. Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid. Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid.

Machine Learning Solutions Engineer.

Senior) Machine Learning Engineer - Growth (Personalisation or Marketing) Office: United Kingdom Remote: UK Apply for this role. Senior Machine Learning Engineers at Cleo work on building novel solutions to real-world problems. Ultimately, we’re looking for a brilliant Senior Machine Learning Engi

We're looking for a Machine Learning Engineer to shape and scale their pricing technology.

Machine Learning Research Engineer (Foundational Research). Hands‑on experience implementing and scaling supervised fine‑tuning, preference learning, and reinforcement learning pipelines for LLMs. Knowledge of modern ML engineering practices (containerization, orchestration, monitoring).

As a Junior ML Engineer here, your core work is monitoring, training, evaluating, and productionising machine learning models on complex, multi‑source datasets from local authorities. Machine learning engineering –. Machine Learning, Data Science, Computer Science, Maths, Engineering etc.

We use machine learning to model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc. Be a part of a collaborative research engineering team that takes research ideas and productionizes them. We are looking for research engineers to work on these exciting p

You will be embedded within a multidisciplinary engineering team, working across the end-to-end delivery of machine learning systems. If you are an ambitious Machine Learning Engineer looking to build real-world AI systems in a high-impact environment, apply today. You’ll be contributing to the de

We are looking for a Machine Learning Engineer to join our Bristol-based client, to deliver end-to-end solutions on exciting new projects which have come about due to growth. You’ll be designing, building and deploying machine learning models which solve complex business challenges, working closel

As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX). Our Reinforcement Learning teams

Machine learning engineering experience. This role focuses on building machine learning models used across financial data, risk, and automation use cases. You’ll work alongside engineers and product teams to deploy ML solutions into production.

We are hiring a Machine Learning Research Engineer to join a high-performing AI research group working at the forefront of large language models and autonomous AI agents. Machine Learning Research Engineer (LLM & AI Agents). Develop scalable machine learning systems using Python and PyTorch.

Our client is seeking a Lead Machine Learning Engineer to shape and scale its machine learning engineering capability while ensuring the successful deployment and operation of machine learning solutions in production environments. Significant experience as a Senior or Lead Machine Learning Engineer

You will work as part of a high performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient and suitable for a live environment. Practical experience with classical machine learning techniques and an awareness of modern approaches such as natural lan

As an Applied ML Engineer in the Developer Publications Intelligence team, you will join a multi‑discipline team of passionate engineers to design, fine‑tune, and produce models that will be used by existing and future tools produced by Apple for third‑party developers. Experience with Machine

London (Hybrid - 3 days in office).I'm partnered with a fast-growing, VC-backed unicorn 🦄 transforming how people learn and develop skills through AI.This isn't just another AI role - you'll be turning cutting‑edge research into real‑world impact, working at the exciting intersection of educa

We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science team. Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working. Lead

This is the chance to join as a Machine Learning Engineer working with a climate‑tech scale‑up applying cutting‑edge Machine Learning to satellite data, weather models and environmental signals, reshaping how nature is valued in real‑world decision‑making. Machine Learning Engineer (Geospa

As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. Our Reinforcement Learning teams sit at the intersection of cutting‑edge research and engineering excellence

Machine Learning Engineer II, Marketing Testing. We are seeking a Machine Learning Engineer to work on two key areas within our marketing analytics team. Foundational knowledge in machine learning principles and statistical methods.

Machine Learning Engineer for a 12-24 month contract. Experience with machine learning frameworks (PyTorch, TensorFlow, or Scikit‑learn). Design, optimise and operate robust end‑to‑end machine learning pipelines within the Databricks environment on Azure.

Ray, Spark, Dask)* Excellent communication skills to collaborate with researchers and translate research ideas into robust implementations* Self-driven attitude with genuine curiosity about ML research developments* Comfortable working in fast-paced, agile environments, managing the uncertainty and

The Machine Learning Engineer role sits within Customer Success; is embedded within the Technical Operations team – a technical group of Data Engineers and ML Engineers responsible for optimising and maintaining advanced machine learning and AI components across Xantura’s projects. Machine Learn

As Machine Learning Engineer, you will be advancing the state of the art in machine learning using novel computing hardware. Machine Learning Research Engineer. Combining your knowledge of ML algorithms with computing hardware, applied use-cases and trends in machine learning, you will extend ORCA��

Work within the development team to extend and expand upon the extensive statistical, time series and machine learning capabilities of our data analytics portfolio. Familiarity with statistical, econometric time series, machine learning or other mathematical algorithms and their uses. A minimum of 6

Our team consists of specialized Machine Learning scientists and engineers, collaborating with product analytics and data engineering experts. Your work will not only impact Carta’s current machine learning capabilities but also pave the way for future engineers, enabling them to build upon your e

Senior Machine Learning Engineer. As a Senior Machine Learning Engineer, you’ll lead the development and deployment of cutting‑edge AI systems for our diverse clients. Defining and implementing best practices and standards for deploying machine learning at scale across the business.

Principal Machine Learning Engineer, AI & Data Platforms (AiDP). Our Principal Machine Learning Engineers are technical leaders who shape the direction of intelligent systems across Apple. The AI & Data Platforms (AiDP) team is seeking a Principlal Machine Learning Engineer to lead the design, fine�

Our client is seeking aMachine Learning Engineer to support the development, deployment, and operational management of machine learning models within a growing data and analytics function. Machine Learning Engineer - Global Insurance Firm. Strong Python development experience, ideally within a machi

A typical week as a Machine Learning Engineer might involve. ML Engineer, Data Engineer, or similar. You’ll design, deploy, and optimise AI and machine learning systems that are reliable, maintainable, and measurable.

As a Machine Learning Engineer at Headout, you will play a pivotal role in developing AI-powered solutions that enhance our platform and create exceptional experiences for travelers worldwide. You have a minimum of 4 years of experience in machine learning engineering across different applications s

This role will join an existing, high performing team of Machine Learning experts and be responsible for the productionisation of Machine Learning Models within Pricing. Senior Machine Learning Operations Engineer. Exciting new Senior Machine Learning Operations Engineer position for a fast growing

Machine Learning Engineer II, Marketing Testing. We are seeking a Machine Learning Engineer to work on two key areas within our marketing analytics team. Foundational knowledge in machine learning principles and statistical methods.

Demonstrated experience in Machine Learning engineering with solid experience in Python. Our Machine Learning Engineers work on building intelligent systems to democratize AI across a wide range of solutions within Apple. MS in Computer Science, Machine Learning, or a related quantitative field.

A leading global quantitative fund is hiring a Machine Learning Engineer to scale how machine learning models are built, shipped, and supported across research and trading. Roll out automation and CI/CD workflows tailored to machine learning delivery. Strong object oriented engineering in Python and