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Trainee AI Engineer - No Experience Needed!\n\nReady to launch a future-proof career in AI - even if you have zero experience?\n\nWe’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.\n\nWhether 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.\n\nHow it works - your journey to AI success\n\nStep 1: Discover AI\n\nStart 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.\n\nStep 2: Full-Stack AI Mastery\n\nDive 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.\n\nStep 3: Get Certified\n\nPrepare 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.\n\nStep 4: Real-World Projects\n\nShowcase 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.\n\nYour guaranteed future\n\nAfter 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.\n\nWe guarantee a job offer upon completion or 100% of your course fees refunded.\n\nWe’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.\n\nAt 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.\n\nReady to future-proof your career?\n\nIf 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.\n\n‘Please note that this is a training course and fees apply

Trainee AI Engineer – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking 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\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £30,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £30,000–£45,000\n\nWe Get You Hired!\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe 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\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\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply 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\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking 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\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £30,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £30,000–£45,000\n\nWe Get You Hired!\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe 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\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\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply 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 Technician – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking 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\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £28,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\n\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\n\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\n\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\n\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\n\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\n\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\n\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\n\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\n\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\n\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\n\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\n\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\n\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\n\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\n\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £28,000–£45,000\n\nWe Get You Hired\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe 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\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\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Junior AI Developer – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking 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\nTrain online at your own pace and land your first AI Developer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £30,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £30,000–£45,000\n\nWe Get You Hired!\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe 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\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\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply 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 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.

Data Science Engineer (DV Cleared) Location: London or Manchester Security Clearance: DV Cleared Salary: Up to £80,000 An exciting opportunity has arisen for a Data Science Engineer to support a growing Data Science function within a major public sector programme. You'll be working on the design and development of robust data processing systems that underpin analytics, data science and machine learning use cases. This role offers the chance to work on complex data platforms while collaborating with data scientists, engineers and stakeholders in a highly skilled multidisciplinary environment. What You'll Be Doing: • Designing, building and maintaining scalable data processing and integration services, • Supporting Data Science and Machine Learning workloads through well-engineered software solutions, • Developing high-quality, testable code using modern engineering practices, • Working within secure cloud-hosted environments, • Collaborating closely with technical and non-technical stakeholders What We're Looking For Essential: • Strong interest in data, particularly Data Science and Machine Learning, • Solid software engineering background with experience in Java, Python or TypeScript, • Hands-on experience with cloud platforms, • DV Clearance in place Location & Working Pattern: • Candidates must be aligned to either London or Manchester, • Hybrid working, • On-site attendance is required to meet client needs Benefits Package: • 9% non-contributory pension, • Private healthcare, • 25 days annual leave, • Life insurance, • And more If you're a DV-cleared engineer passionate about data-driven systems and keen to work on meaningful public sector programmes, this role offers both technical challenge and long-term development.

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.

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.

Machine Learning Engineer - London Join the analytics team as a Machine Learning Engineer in the technology industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward thinking environment. Client Details Machine Learning Engineer - London This opportunity is with a medium-sized organisation in the technology industry. The company is committed to utilising advanced analytics and machine learning to enhance its services and deliver value to its clients. Description Machine Learning Engineer - London This role focuses on training custom models, building robust ML pipelines, and deploying systems at scale from research experimentation through to monitored production services. • Design, train, and optimise machine learning models for audio processing tasks such as speaker diarization, automatic speech recognition (ASR), and voice activity detection., • Build and maintain training and inference pipelines using PyTorch, and related ML frameworks, • Source, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows., • Run structured experiments, evaluate model performance, and iterate based on measurable results, • Build, deploy, and operate end-to-end MLOps pipelines, including experiment tracking, model versioning, and production monitoring., • Package and deploy models using Docker and cloud infrastructure, with a focus on reliability and scalability, • Design and deploy agent-based AI systems that can execute multi-step workflows and integrate with external tools., • Build Model Context Protocol (MCP) servers to enable standardised integration between models, APIs, and data sources., • Evaluate and integrate large language models into production systems where they add clear value. Machine Learning Engineer - London A successful Machine Learning Engineer should have: • Strong foundation in machine learning, deep learning, and optimisation, • Hands-on experience training, evaluating, and deploying ML models in real-world systems, • Proficiency with PyTorch (preferred) or TensorFlow; familiarity with the Hugging Face ecosystem, • Experience with audio or speech models and frameworks., • Experience building and maintaining end-to-end ML pipelines and MLOps tooling (e.g. MLflow, Weights & Biases, DVC, or similar)., • Strong Python skills; experience with Docker, CI/CD, and cloud platforms (Azure preferred), • Practical experience designing agentic AI systems and integrating models with external services, • Comfortable owning the full ML lifecycle, from data preparation to production deployment Machine Learning Engineer - London • Competitive salary ranging from £80,000 to £100,000 per annum., • Comprehensive benefits package to support your well-being., • Opportunity to work in a leading organisation within the insurance industry., • Collaborative and innovative work environment in London.

Machine Learning Engineer - £110k – £130k – Geospatial Tech 4 GoodMachine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit-learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech |Do you want to work with a business building AI-native data system that bring clarity and credibility to nature-based assets?A business tackling complex, real-world environmental challenges, helping organisations make high-impact decisions around risk, resilience and commercial performance?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.Joining their AI team, you’ll design and deploy models that forecast climate volatility, detect vegetation stress, and generate risk-driven insights from remote sensing and time-series data. You’ll work across AI, climate science, geospatial modelling and scalable pipelines, contributing meaningfully from day one.What you’ll be working on:• Building and evaluating Machine Learning/DL models for satellite, weather and climate data• Forecasting environmental and risk-related signals (volatility, vegetation stress, land-surface change)• Developing geospatial and remote-sensing models (Sentinel-1/2, GEDI, optical, radar, LiDAR)• Creating time-series and forecasting models for environmental change• Translating business questions into robust modelling problems• Turning research prototypes into scalable, reproducible AI pipelines• Communicating assumptions, uncertainty and results clearlyThe must-haves:• Strong background in Machine Learning, DL and Applied Statistics• Time-series modelling + backtesting• Experience with geospatial and climate datasets• Python stack: PyTorch, scikit-learn, scipy• Reproducible workflows (Git, AWS/cloud, W&B)Nice-to-haves:• Risk modelling, financial time series, portfolio optimisation (great for FinTech/quant backgrounds)• Climate/weather datasets (CMIP, forecast data)• Geospatial tools: rasterio, xarray, geopandas, GDAL• Remote sensing (optical, radar, LiDAR)• MLOps: CI/CD, containerisation, monitoring• Startup or fast-paced product environmentThe role offers £110k–£130k, a global team environment, and the chance to shape the future of AI-powered environmental and risk intelligence.If it ticks those boxes, don’t hang about message me: Machine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit-learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech |

About The RoleTeam – Group Architecture and Engineering StandardsWorking Pattern - Hybrid – 2 days per week in the Vitality Bournemouth or London Office. Full time hours.We are happy to discuss flexible working!Top 3 skills needed for this role: • Expert in building scalable, high-quality data pipelines, • Hands-on experience with cloud data platforms, • The ability to optimise, automate, and deliver reliable data solutions independentlyWhat this role is all about:Join us as a Data Engineer and become a driving force behind high-impact, high-performance data solutions. You’ll take ownership of designing and supercharging data pipelines that keep our business moving, bringing fresh thinking and technical flair to every challenge. Your voice will shape our data design principles, your ideas will spark conversation across engineering forums, and your expertise in analytics and operational processing will help unlock smarter, faster decision-making.Key Actions, • Work with Data Engineering team to implement robust and trustworthy data to support high-performance Kafka streams and predictive models, • Deploy and maintain machine learning models as APIs for use in our live environments, • Employ a variety of languages and tools (e.g. scripting languages) to develop and manage robust data pipelines connecting various systems, • Develop datasets and processes that facilitate data modelling, mining, and production, • Provide clean, usable data to data community and recommend ways to improve data reliability, efficiency, and quality, • Research opportunities for data acquisition and new uses for existing data, • Work collaboratively with the Data Science, Data Architecture, and other IT delivery teams to design, construct, install, test and maintain highly scalable data management systemsWhat do you need to thrive?, • A degree in IT, Computer Science, Maths or a related discipline, with 3+ years’ experience across BI, data warehousing, data management, ETL and database technologies, • Strong hands-on experience building and optimising data pipelines using Python, SQL, Apache Spark, and Microsoft SSIS, • Proven ability to design, deliver and maintain scalable data solutions across data warehouses and Big Data Lakes, supporting both on-premise and cloud environments, • High proficiency with Google Cloud Platform services, including BigQuery, DataForm, DataProc, Cloud Composer and DataPlex, coupled with a solid understanding of cloud-native engineering best practicesSo, what’s in it for you?, • Bonus Schemes – A bonus that regularly rewards you for your performance, • A pension of up to 12%– We will match your contributions up to 6% of your salary, • Our award-winning Vitality health insurance – With its own set of rewards and benefits, • Life Assurance – Four times annual salaryThese are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities!If you are successful in your application and join us at Vitality, this is our promise to you, we will:, • Help you to be the healthiest you’ve ever been, • Create an environment that embraces you as you are and enables you to be your best self, • Give you flexibility on how, where and when you work, • Help you advance your career by playing you to your strengths, • Give you a voice to help our business grow and make Vitality a great place to be, • Give you the space to try, fail and learn, • Provide a healthy balance of challenge and support, • Recognise and reward you with a competitive salary and amazing benefits, • Be there for you when you need us, • Provide opportunities for you to be a force for good in societyWe commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.About The CompanyWe’re incredibly proud to be recognised for the culture we've created — recently being named one of Glassdoor’s Best Places to Work 2026, and in 2024 we were delighted to be awarded Top 10 Places to Work in the Sunday Times Awards.Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We’ve been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives – they benefit, our business benefits, and society benefits. We’re successful because we attract, develop, and retain the best people – and because we care.Plus, you get to join our 1.7+ million members with access to our unique health insurance and healthy living programme. Just to make sure you know our products inside and out.Ready to find out if we’re the right fit for you? We can’t wait.Diversity & InclusionAt Vitality, we’re committed to diversity and inclusion because it’s good for our employees, for our business, and for society. We welcome applications from individuals of all backgrounds, experiences, and perspectives.Vitality’s approach to sustainabilityVitality is a business that drives positive change. We reward people for making and sustaining healthier choices. But healthy people also need a healthy environment. To learn more please visit our Careers page. #LI-HybridIf we are fortunate in receiving a high volume of quality applications we may need to close this vacancy early. If you are interested, please submit your application as soon as possible.

Data Consultant £80,000–£85,000 London / South East | Hybrid with secure site work Ncounter is working with a highly specialised AI and data consultancy delivering advanced analytics and machine learning capability into some of the UK’s most secure environments. They are growing their engineering team and are looking for a DV Cleared Data Engineer to play a key role in building complex data platforms that directly support critical decision making. This is a hands-on engineering role focused on designing, building and optimising data pipelines within highly controlled, high impact programmes. You will work across modern data ecosystems, integrating large scale datasets, developing robust ETL processes and enabling the deployment of AI and machine learning solutions into operational settings. The work is technically challenging, often requiring creative problem solving in constrained environments where performance, security and reliability are essential. The organisation is at the forefront of applying AI within Defence and Government, with strong exposure to platforms such as Palantir and similar large scale data integration technologies. You will be working closely with both technical teams and end users, translating real world problems into scalable, production grade solutions. Key experience required: • Active DV Clearance and willingness to work within secure UK environments, • Strong Data Engineering background with solid programming skills in Python and SQL, • Proven experience designing and building ETL pipelines and data workflows at scale, • Experience working across cloud and on prem data platforms, • Exposure to machine learning or AI driven systems within production environments, • Understanding of complex data integration challenges within enterprise or secure settings, • Ability to engage with stakeholders and operate effectively in delivery focused teams This role would suit someone from a Defence, National Security, or consultancy background who enjoys working on technically demanding problems with real world impact. If you are looking to apply your data engineering expertise within cutting edge AI programmes and secure environments, please get in touch for a confidential discussion.

• Have you had a career break of 12+ months?, • Do you have 5+ years of commercial experience, including hands-on experience in Data, Analytics, or related technology roles? Our Returners Programme is specifically designed to support professionals returning to work after a career break. Having restarted over 550 careers since 2016, our Returners Team are here to support you through every stage of the journey, ensuring you have the confidence, skills and opportunity to step back into a successful and rewarding career in business or technology. You’ll be joining FDM as a Consultant within our Data and Analytics Practice, where you will be delivering large-scale projects for our clients across a wide range of sectors and specialist areas. Depending on your background and experience, you could take on the role of: • BI Developer, • Data Engineer, • Data Scientist, • Machine learning Engineer Within the FDM Skills Lab you’ll receive upskilling in: • Business intelligence and advanced analytics, • Diverse data modelling, engineering and warehousing, • Automation and machine learning There are progression opportunities towards Principal Consultant level and the opportunity to explore diverse roles and assignments for a range of global companies in your return to the workforce. Ready to launch the next phase of your career? At FDM, we find driven people from diverse backgrounds. Dedicated to your continuous growth, we offer a non-linear career journey with our Skills Lab helping guide you to the future you want. Your skillsets will grow. Clients will value your increased expertise. And your career will thrive exponentially. Minimum qualifications • Looking to return to work after a break in your career of 12+ months, • At least 5 years of prior commercial industry experience, ideally within data analytics, technology or a related field, • A strong aptitude and interest in business and technology as well as data driven problem solving, • Commitment to at least two years of full-time employment with FDM, • Career coaching, mentoring and access to upskilling throughout your entire FDM career, • Initial upskilling pre-assignment that has been accredited by TechSkills, • Assignments with global companies and opportunities to work abroad Diversity and Inclusion FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.

ML Engineer £500-£560 The Company They are a well-established consumer technology business with a mission to create a safe, trusted environment for millions of users. Data, experimentation, and scalable engineering are core to how they operate. Their Trust function is expanding, and they are investing heavily in modern ML infrastructure to support rapid growth. You will join a collaborative environment where ML Engineers, Scientists, Backend Engineers, and MLOps specialists work closely to deliver measurable impact. The Role In this role, you will: * Design and implement pipelines for training, evaluating, deploying, and monitoring detection models * Productionise detection models in partnership with ML Scientists, improving reliability and latency across asynchronous inference workflows * Collaborate with backend and product teams to define integration requirements for trust detection services * Extend ML infrastructure with MLOps teams, including reproducible training workflows, CI/CD for model deployment, batch and real-time model serving, feature consistency, and monitoring * Uphold strong standards around testing, observability, and operational excellence * Contribute to a scaling engineering culture where experimentation and measurable outcomes are central Your Skills and Experience * Strong commercial experience building and deploying ML pipelines in production * Experience with asynchronous ML inference pipelines * Deep understanding of end-to-end ML workflows from research through to deployment * Ability to operate with ownership in complex, fast-moving environments * Strong communication skills for working with both technical and non-technical stakeholders * Experience designing systems within modern cloud environments such as AWS or GCP * Proficiency in Python and common ML frameworks such as PyTorch, TensorFlow, or scikit-learn * Exposure to ML/MLOps tooling such as SageMaker, MLflow, or TFServing * Experience with Spark, Databricks, CI/CD tools, and streaming or orchestration systems like Kafka or Airflow How to Apply If you are interested in this Machine Learning Engineer position, please apply with your CV.

Machine Learning Engineer 6 Month Contract UK Based Join us as a Senior Machine Learning Engineer • In this role, you'll be driving and embedding the deployment, automation, maintenance and monitoring of machine learning models and algorithms, • Day-to-day, you'll make sure that models and algorithms work effectively in a production environment while promoting data literacy education with business stakeholders, • If you see opportunities where others see challenges, you'll find that this solutions-driven role will be your chance to solve new problems and enjoy excellent career development What you'll do Your daily responsibilities will include you collaborating with colleagues to design and develop advanced machine learning products which power our group for our customers. You'll also codify and automate complex machine learning model productions, including pipeline optimisation. We'll expect you to transform advanced data science prototypes and apply machine learning algorithms and tools. You'll also plan, manage, and deliver larger or complex projects, involving a variety of colleagues and teams across our business. You'll also be responsible for: • Understanding the complex requirements and needs of business stakeholders, developing good relationships and how machine learning solutions can support our business strategy, • Working with colleagues to productionise machine learning models, including pipeline design and development and testing and deployment, so the original intent is carried over to production, • Creating frameworks to ensure robust monitoring of machine learning models within a production environment, making sure they deliver quality and performance, • Understanding and addressing any shortfalls, for instance, through retraining, • Leading direct reports and wider teams in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and Scrum outcomes The skills you'll need • To be successful in this role, you'll need to have a good academic background in a STEM discipline, such as Mathematics, Physics, Engineering or Computer Science. You'll also have the ability to use data to solve business problems, from hypotheses through to resolution., • We'll look to you to have experience with machine learning on large datasets, as well as experience building, testing, supporting, and deploying advanced machine learning models into a production environment using modern CI/CD tools, including git, TeamCity and CodeDeploy. You'll also need: • A good understanding of machine learning approaches and algorithms, • Experience using programming and scripting languages, including Python and Bash, • Financial services knowledge and the ability to identify wider business impact and risk opportunities and to make connections across key outputs and processes, • Good communication skills with the ability to proactively engage with a wide range of stakeholders Additional Job Description • In this role, you'll be driving and embedding the deployment, automation, maintenance and monitoring of machine learning models and algorithms, • Day-to-day, you'll make sure that models and algorithms work effectively in a production environment while promoting data literacy education with business stakeholders, • If you see opportunities where others see challenges, you'll find that this solutions-driven role will be your chance to solve new problems and enjoy excellent career development Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

At Qualify Nation Recruitment, we partner with forward-thinking organisations tackling complex, high-impact challenges across AI, cyber security, and data. We’re currently supporting a leading UK technology consultancy in hiring a Machine Learning Engineer—someone ready to move beyond theory and into real-world impact. This is an opportunity to work on cutting-edge AI solutions, contribute to meaningful projects, and grow within an environment that values curiosity, innovation, and long-term development. The Opportunity You’ll join a multidisciplinary team of engineers, analysts, and domain experts working on advanced AI and data-driven systems. Your work will focus on turning complex data into actionable insight—supporting decision-making, improving systems, and solving real-world challenges across security, technology, and digital transformation. What You’ll Be Doing • Designing, building, and deploying machine learning models for real-world applications, • Working with large language models (LLMs) to develop intelligent systems and tools, • Collaborating with cross-functional teams to integrate AI into production environments, • Conducting research, experimentation, and rapid prototyping, • Implementing MLOps best practices (CI/CD, monitoring, retraining pipelines), • Translating business and stakeholder needs into scalable technical solutions, • Continuously improving AI/ML systems, frameworks, and performance What We’re Looking For We’re looking for individuals who combine strong technical ability with curiosity and a problem-solving mindset. • Strong Python skills, • Experience building ML models using frameworks like PyTorch, TensorFlow, or scikit-learn, • Hands-on experience with LLMs (prompting, RAG, fine-tuning, agents), • Understanding of MLOps principles and tools (e.g. MLflow, DVC, Weights & Biases), • Experience deploying solutions in AWS or cloud environments, • Familiarity with Docker, CI/CD, and version control (Git), • Ability to translate complex requirements into practical AI solutions, • Passion for staying up to date with the latest AI/ML developments Who This Role Is Ideal For • You want to work on meaningful, real-world AI challenges, • You enjoy both research and practical implementation, • You’re comfortable collaborating across technical and non-technical teams, • You’re looking for long-term career growth, not just your next role, • You thrive in environments where innovation and autonomy are encouraged What You’ll Get • Competitive salary + benefits package, • Hybrid working model (Woking + remote flexibility), • Exposure to AI, Cyber, Cloud, and Big Data projects, • A collaborative, high-performing team environment, • Clear progression pathways and ongoing development support, • Opportunity to work on projects with real impact and scale Location Woking (Hybrid) You’ll be based partly in a modern, well-connected office location, with flexibility to work remotely and occasional collaboration on-site. Additional Requirements Due to the nature of the work, candidates must be: • Eligible to work in the UK, • Willing and able to undergo security clearance if required Apply Now If you’re ready to take your machine learning career to the next level and work on impactful, forward-thinking projects: Submit your CV today A member of the Qualify Nation Recruitment team may also contact you for a brief discussion about your application Qualify Nation Recruitment connects ambitious professionals with high-growth opportunities across technology, digital, and data-driven industries.

Service Desk Engineer (2nd Line) London (North London) Hybrid (3 days onsite, 2 days remote) | Occasional client travel Are you an experienced IT support professional ready to take the next step in your career? Do you enjoy solving complex technical issues while delivering outstanding customer service, both remotely and face-to-face? We’re looking for a skilled Service Desk Engineer (2nd Line) to join our dynamic Service Delivery Team. About the Role As a 2nd Line Service Desk Engineer, you will be at the forefront of delivering high-quality technical support to our clients. You’ll handle escalated incidents, proactive monitoring alerts, and on-site visits, while helping to mentor and develop the 1st Line team. Key Responsibilities • Respond promptly to technical support requests via phone, email, and ticketing system, • Diagnose and resolve 2nd line and escalated tickets, as well as NOC monitoring alerts, within agreed resolution times, • Provide face-to-face technical support through pre-scheduled client site visits, • Accurately classify, prioritise, and document tickets with detailed notes throughout their lifecycle, • Keep clients and their IT teams regularly updated on ticket progress, • Identify recurring issues and contribute to permanent solutions, • Create and maintain technical documentation and knowledge base articles, • Deliver excellent customer service and a positive support experience at all times, • Manage your own ticket queue, triage effectively, and escalate where necessary, • Liaise with third-party vendors and partners to resolve complex issues, • Support, mentor, train, and develop the 1st Line Service Desk Analysts, • Stay up to date with the latest technologies and cyber security developments, and share knowledge with the team, • Achieve relevant Microsoft and technical certificationsWhat We’re Looking For, • Excellent customer service, telephone, and client-facing skills, • Minimum 2 years’ experience providing IT support across multiple technologies (MSP experience is highly desirable), • Proven experience attending client sites and delivering face-to-face support, • Strong troubleshooting and support experience in the following technologies:, • Windows Server (on-premise and Azure), • Active Directory (on-premise and Azure), Group Policy, Office 365, and SharePoint, • Microsoft Exchange, • Virtualisation technologies (Windows Virtual Desktop, Hyper-V, Virtual Machine Manager, vSphere), • Backup and Disaster Recovery solutions, • Cyber-security tools and concepts (EDR, MFA, AV, incident response), • Networking (TCP/IP, DNS, DHCP, LAN, WAN, Wireless, Switches, Routers), • Windows OS, macOS, and Microsoft Office, • Mobile device configuration and support, • Ability to configure, administer, and support both Windows and macOS devices, • Solid understanding of the cyber threat landscape and security best practices, • Proactive mindset with the ability to anticipate and prevent issues, • Excellent verbal and written communication skills – able to explain complex technical matters clearly to users of all levels, • A genuine passion for learning new technologies, demonstrated through certifications or personal projects, • Strong team player who is also highly self-motivated, • Calm and professional approach when dealing with difficult or demanding situations, • Full UK driving licenceWhat We Offer, • Hybrid working (3 days onsite, 2 days remote), • Varied and interesting workload across multiple client environments, • Opportunities to develop your technical skills and gain certifications

Full Stack Engineer - Inside IR35 - Hybrid We are looking for a Full Stack Engineer to help design, build, and operate scalable data systems that support analytical and data-driven workflows. You will work closely with users across the business to understand their needs, translate them into robust technical solutions, and continuously improve our data platform. This role is ideal for someone who enjoys working at the intersection of engineering, data, and user experience, with a strong focus on reliability, usability, and iterative improvement. Key Responsibilities • Design, build, and maintain production-grade data systems and pipelines, • Develop scalable solutions for data ingestion, transformation, and orchestration, • Collaborate directly with stakeholders to understand workflows, identify pain points, and deliver impactful solutions, • Operate and improve cloud-based infrastructure and services, • Support analytical and data-intensive workloads with performant, reliable systems, • Contribute to platform tooling and engineering best practices, • Troubleshoot issues and continuously enhance system reliability and performanceRequired Experience, • Some experience building and operating production systems, ideally developed iteratively over time, • Strong proficiency in Python, SQL, and cloud platforms (preferably AWS), • Experience with data pipelines and orchestration tools (e.g., Dagster), • Experience working with analytical or data-intensive workloads, • Ability to work directly with users to understand workflows, identify pain points, and translate them into technical solutions, • Strong problem-solving skills with a systems-thinking mindsetHighly Valuable Experience, • Experience with .NET, ideally C#, • Experience building internal platforms or developer tooling (e.g., PaaS), • Experience supporting data science or analytics workflows, • Experience with CI/CD pipelines (e.g., Azure DevOps) and infrastructure-as-code tools (e.g., Terraform), • Familiarity with modern data platforms such as Snowflake, • Exposure to machine learning / AI workflows and related tooling, • Strong familiarity with Python libraries and developer toolingNice to Have, • Experience in investment or financial services environments, • Exposure to R or mixed-language analytics ecosystems Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Location: London, Watford or Bristol (Hybrid working options available) The Lead Data Engineer will provide hands-on technical leadership in Azure cloud and Databricks-based solutions within our Enterprise Data Platform. The role requires strong expertise in Azure cloud services, Databricks, data engineering, and DevOps, leading a cross-functional team to build, deploy, and support high-performance data-driven solutions. The role involves: • Interpreting Outcomes and user stories and translating them into technical solutions., • Creating innovative solution designs for domain and enterprise data products., • Overseeing Data Analysts to support detailed data discovery., • Overseeing data modelling for Finance and Enterprise data products., • Leading Product Increment planning to break down solutions into Features and Epics for incremental delivery., • Designing and implementing scalable data solutions on Azure and Databricks within the assigned domain., • Ensuring appropriate engineering standards are applied to maintain data quality, performance and reliability. Duties/Responsibilities • Work with Product Owners and Business Analysts to understand Outcomes, refine user stories., • Lead solution design for Finance and Enterprise data products, ensuring alignment with enterprise patterns and guardrails., • Direct and collaborate with Data Analysts on detailed data discovery, source understanding and requirements refinement., • Oversee logical and physical data modelling for Finance and Enterprise data products, working closely with architecture where required., • Implement and maintain data pipelines and ETL workflows in Databricks (PySpark, Delta Lake)., • Contribute to CI/CD pipelines for data applications using Azure DevOps and infrastructure-as-code (Terraform) in line with established patterns., • Apply security, access control and compliance standards for Azure and Databricks in collaboration with platform and security teams., • Support monitoring, logging and basic cost optimisation for the team’s data products., • Support the development of DevOps practices within the team, including reducing technical debt and improving automation over time. Skills, Knowledge and Experience Lead Data Engineers are expected to have strong capability in at least three of the following areas of engineering practice. Core skills • Automation including testing of data pipelines and data products., • Strong teamwork, communication and problem-solving skills to collaborate effectively with cross-functional teams., • Awareness of security principles and best practices to ensure secure data solutions., • Commitment to continuous learning and staying current with Azure, Databricks and data engineering trends., • Strong experience working within an agile development methodology, ideally Scaled Agile (SAFe or similar)., • Excellent time and self-management through effective planning and prioritisation of tasks., • Proven and demonstrable data engineering capability., • Ability to influence within the team and communicate clearly with technical and non-technical stakeholders. Data Engineer (New Technology / Microsoft) • Strong experience with Databricks (Spark, PySpark, Delta Lake, and Unity Catalog advantageous)., • Proficiency in Azure data services (Azure Data Factory, Data Lake, Azure Functions advantageous)., • Experience contributing to CI/CD pipelines (Azure DevOps, GitHub Actions, Terraform)., • Scripting and programming skills (Python advantageous)., • Good understanding of DevOps and automation concepts (e.g. YAML pipelines, IaC)., • Solid understanding of cloud security, compliance and governance principles., • Experience working with Databricks and Azure in a product or Scaled Agile delivery environment. Qualifications • Degree level IT or technical/scientific subject (or equivalent experience)., • Microsoft Azure Data Engineer or Solutions Architect certification (desirable)., • Databricks Certified Data Engineer or Machine Learning Associate (desirable)., • Experience with streaming solutions (Kafka, Event Hubs, Spark Streaming) (desirable)., • Knowledge of machine learning and AI on Databricks (desirable).

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.