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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 Programmer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £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

Job Description All potential applicants are encouraged to scroll through and read the complete job description before applying. 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? xwzovoh 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. Please note this is a training course and fees apply

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 1014 week online programme with approximately 1015 hours of study per week. Youll 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 1014 week online programme with approximately 1015 hours of study per week. Youll 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.

About the Role We are looking for a Creative Engineer to join a high-impact marketing team supporting across the EMEA region. This role sits at the intersection of engineering, creativity, and marketing, and focuses on building, maintaining, and scaling technical solutions that enable the creation of high-volume creative assets for paid advertising. As the sole technical contributor within the team, you will work closely with designers and creative stakeholders to prototype experiments, develop internal tools, and streamline workflows that support customer acquisition at scale. Key Responsibilities • Design, build, and maintain internal tools used by a small creative team to generate and manage creative content at scale, • Write code and prototype creative experiments in collaboration with designers and the wider creative team, • Support designers by enabling automation, operations, and scalable asset delivery processes, • Respond to ad-hoc creative requests and iterate quickly on solutions in a fast-paced environment, • Maintain existing tools, ensuring functionality, performance, and reliability, • Build and improve workflows that increase efficiency and streamline creative production, • Capture requirements, independently solve problems, and interact closely with stakeholders across the team, • Experience using AI to build creative or marketing solutions, • Background in marketing technology, marketing engineering, or creative technology, • Experience supporting creative teams or building tools for content production at scale

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 1014 week online programme with approximately 1015 hours of study per week. Youll 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 1014 week online programme with approximately 1015 hours of study per week. Youll 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 1014 week online programme with approximately 1015 hours of study per week. Youll 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 1014 week online programme with approximately 1015 hours of study per week. Youll 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.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £30,000–£45,000 We Get You Hired! We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Trainee AI Technician – 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

An early-stage UK AI company is building software that removes friction from complex logistics workflows by automating document processing and decision-making. Their product is already live with customers, and the focus now is on moving faster, shipping weekly, and compounding product quality through better ML systems. They’re hiring an early Machine Learning Engineer to strengthen a small, high-accountability team as customer demand and product scope increase. The role • You’ll join as one of the first ML engineers in a six-person team, working very close to the product and real customer problems. This is a production-first role, not research-led., • You’ll improve and extend LLM-powered document processing and agent workflows that are already in use., • You’ll design and build evaluation datasets, run systematic experiments on prompts, models and architectures, and turn results into shipped improvements., • You’ll help harden and scale a containerised ML pipeline, and keep a close eye on new model releases to identify practical gains the team can ship quickly., • Ownership is end-to-end, from idea to production. What you’ll bring • You’ve written a lot of Python that runs in production and you’re comfortable owning it., • You’ve worked hands-on with LLM-based systems, including prompting, evaluation and iteration, and you care about measuring whether things are actually getting better., • You’re confident with Docker and running containerised services in real environments., • Experience with Go, workflow orchestration tools like Temporal, or building structured evaluation datasets is useful but not essential., • More important is a builder mindset: you’ve shipped things end-to-end, you’re comfortable working independently, and you follow through on what you commit to., • Clear communication and comfort operating in a high-bar, outcome-driven environment really matter here. What’s on offer • Base salary of £80–90k depending on experience., • Equity of around 0.1–0.2% in options, with scope for accelerated vesting., • A genuinely small, senior team with a weekly shipping cadence and direct exposure to customers. UK-based today, with flexibility on remote working for the right person and openness to future New York expansion. Apply to find out more!

Senior Full Stack Data Engineer – Decho Group (Part of Accenture) About Decho Group Decho Group is a fast-growing Tech and AI consultancy, founded to solve complex data challenges for governments and enterprises. We specialise in Palantir technologies, advanced analytics, and AI-driven solutions that transform how organisations make decisions. In October 2025, Accenture acquired Decho Group, recognising our unique ability to combine deep engineering expertise with strategic advisory, tackling mission-critical problems in defence, healthcare, and commercial industries. Joining Decho means joining a consultancy where AI meets engineering excellence. You’ll be part of a team that thrives on curiosity, collaboration, and bold thinking, working on projects that genuinely change lives and industries. The Role We’re seeking Senior Consultant Engineers who want to apply their technical mastery in AI consultancy and Palantir engineering while shaping the future of data-driven decision-making. This is a hands-on, client-facing role where you’ll lead technical delivery, partner directly with stakeholders, and act as a trusted advisor. You’ll combine software engineering expertise with strategic problem-solving, working across data pipelines, operational workflows, and AI models to deliver transformation at scale. Key Responsibilities • Lead & Architect: Own the design of innovative solutions using Palantir software, ensuring scalability and long-term impact., • Engineer Data at Scale: Build, optimise, and maintain complex pipelines and ETL processes powering mission-critical decision models., • Strategic Workflows: Develop enterprise-grade workflows and decision-support tools that reshape operations across industries., • AI Leadership: Guide the integration of AI and machine learning models into client environments, ensuring measurable outcomes., • Client Engagement: Partner directly with senior stakeholders, translate business needs into technical solutions, and influence strategic direction., • Technical Excellence: Set engineering standards, champion best practices, and drive continuous improvement across teams., • Mentorship & Growth: Coach junior engineers, foster knowledge-sharing, and contribute to the Decho Lab’s innovation culture. What We’re Looking For • 5+ years of experience in software/data engineering with proven expertise in Python, SQL, and TypeScript., • Ideally experience with Palantir technologies (Foundry, Gotham, or similar platforms)., • Advanced knowledge of data engineering, ETL pipelines, and workflow design at enterprise scale., • Track record of leading teams, mentoring engineers, and delivering complex projects in client-facing environments., • Passion for AI, machine learning, and emerging technologies, with ability to translate innovation into impact., • Exceptional problem-solving, communication, and stakeholder management skills., • Curiosity, adaptability, and a drive to make a real-world impact. Why Join Us • Be part of a fast-growing AI consultancy now backed by Accenture’s global scale., • Lead mission-critical, client-facing projects across government, defence, health, and commercial sectors., • Gain hands-on experience in AI, advanced analytics, and Palantir technologies while shaping industry standards., • Build your career story as a senior leader driving transformation in data-driven decision-making., • Thrive in a culture that values innovation, collaboration, and bold ambition. Unfortunately we can not provide sponsorship for this opportunity

Machine Learning Engineer / Junior Machine Learning Engineer Level: Junior ML Engineer (£56,000) | ML Engineer (£65,000) Location: London About the Role Our client is a global defence, security, and intelligence consultancy delivering high-assurance digital, cyber, and AI solutions into some of the UK’s most critical national security missions. They are growing their National Security AI capability in London and are hiring Machine Learning Engineers at both junior and mid-level. These roles sit within a specialist team delivering applied machine learning and GenAI solutions across defence, space, and wider government environments. The work spans exploratory research, rapid prototyping, and full production deployment. You will be solving complex, real-world problems using modern ML and LLM techniques, working on sensitive, high-impact systems where quality, governance, and operational readiness genuinely matter. What You’ll Be Doing • Designing and developing machine learning models across forecasting, classification, and anomaly detection use cases., • Building and deploying GenAI and LLM-enabled solutions, including prompt-driven and RAG-based architectures., • Running structured experimentation cycles, defining hypotheses, designing experiments, and evaluating results within governance constraints., • Transitioning validated experiments into production-ready systems in collaboration with software and platform engineers., • Building and maintaining ML pipelines on AWS using modern MLOps and LLMOps tooling., • Implementing experiment tracking, model versioning, and reproducibility with full auditability., • Supporting production models through monitoring, evaluation, and continuous improvement., • Applying responsible AI practices including explainability, validation, and fairness assessment., • Communicating outcomes and trade-offs clearly to technical and non-technical stakeholders. Ideal Background You will have experience in many of the following areas. Expectations scale by level. • Hands-on experience building ML models in Python using libraries such as scikit-learn, XGBoost, PyTorch, or TensorFlow., • Experience deploying ML workloads on AWS, including services such as SageMaker, Lambda, and S3., • Understanding of experiment design, evaluation techniques, and statistical reasoning., • Experience taking models from experimentation into production environments., • Familiarity with MLOps tooling such as MLflow, Weights & Biases, or Data Version Control., • Experience developing or integrating LLM and GenAI applications, including prompt engineering and retrieval-augmented generation., • Ability to work across disciplines and communicate technical findings clearly., • A pragmatic mindset and good judgement about when machine learning is and is not the right solution. Nice to Have • Experience with advanced LLM techniques such as agents, tool use, or agentic workflows., • Experience with vector databases for RAG use cases., • Familiarity with feature stores, containerisation, or orchestration platforms., • Exposure to infrastructure-as-code tooling such as Terraform or CloudFormation., • Experience with large-scale data processing frameworks., • Background working in regulated or high-assurance environments. Clearance Reality Security clearance is required for this role. Candidates who are not currently cleared must be eligible and willing to go through the process. What You’ll Receive • Salary up to £65,000 for ML Engineer and up to £56,000 for Junior ML Engineer., • Hybrid working with flexibility around core hours., • 25 days annual leave with options to buy, sell, or carry over., • Competitive pension and flexible benefits package., • Company bonus scheme., • Dedicated career management and structured progression pathways., • Access to internal communities focused on diversity, inclusion, and wellbeing. Who This Role Suits Best This role suits engineers who want to work on meaningful, production-grade ML systems rather than proofs of concept. It is a strong fit for candidates who enjoy balancing experimentation with operational discipline and want their work to have tangible national impact.

This role is with one of Dex’s trusted Partner companies. We work closely with their teams to truly understand their culture, goals, and what they’re looking for, so we can match you with the right opportunity for your goals! If you’re interested, apply here, or head to the website, where you can sign up and speak to Dex. After your call, you'll be sent the full match details. We’ll help manage your applications, and find other great matches to work you'll love. The Opportunity Dex is partners with some of the world’s most prestigious quantitative trading firms and systematic hedge funds. These organizations operate at the absolute bleeding edge of technology, treating the global financial markets as a complex data science problem. They are deploying massive compute clusters and proprietary machine learning models to trade billions of dollars daily. If you're an engineer who cares about nanoseconds, cache locality, and architecting petabyte-scale infrastructure, this is the pinnacle of technical challenge. What You’ll Work On • Architect Low-Latency Infrastructure: Design and implement the critical path for trading execution, building order management systems and market connectivity layers where performance is measured in microseconds., • Scale Data Pipelines: Engineer elegant, distributed systems capable of ingesting and processing petabytes of market and alternative data, ensuring absolute consistency for research teams., • Operationalize Machine Learning: Bridge the gap between research and production by deploying complex ML models into live environments under strict latency constraints., • Optimize the Stack: Go "close to the metal" to optimize performance across networking, I/O, and compute layers, squeezing maximum efficiency out of hardware., • Build World-Class Observability: Create robust monitoring and telemetry systems to provide real-time insights into pipeline health, trading activity, and model behavior., • Work with the Best: Work side-by-side with world-class researchers and mathematicians to translate theoretical strategies into production-grade code. What You'll Have • Polyglot Mastery: Exceptional command of at least one major systems language (C++, Rust, Java) for low-latency components, or Python for data and ML workflows., • Distributed Systems Expertise: Deep experience building high-throughput, fault-tolerant systems using modern messaging standards (e.g., Kafka, ZeroMQ, NATS)., • Systems-Level Intuition: You are comfortable debugging and profiling at the OS level, understanding memory management, CPU architecture, and network stack optimization., • Data Infrastructure: Familiarity with the modern data stack, including time-series databases, object stores, and streaming frameworks like Apache Flink or Spark Streaming., • Engineering Rigor: You write clean, testable, and reliable code. You understand that in this environment, a system failure can cost millions in seconds., • Bonus - ML Engineering: Experience with model serving, feature stores, or integrating ML pipelines into live production systems is highly valued. (Note: Previous finance experience is not required). To be considered for this role and others like it apply directly, or sign up to Dex and we'll help find the work that matters to you!

As development accelerates, they are seeking an Audio Machine Learning Engineer to shape how sound is analysed, classified, and translated into useful information across edge and cloud platforms. Required: Core experience Strong grounding in audio machine learning or applied signal processing Expe

Job Title: Senior Machine Learning Engineer - £120,000 Base. We are looking for a Senior Machine Learning Engineer to build the infrastructure and pipelines that power our AI solutions. Productionalization: Take validated prototypes from our Data Science team and re-engineer them into high-performa

A fantastic opportunity for a Senior or Principal Machine Learning Engineer to join a fast-growing, health-tech company developing advanced machine learning and computer vision models used within clinical research and drug development. Strong relevant industry experience in machine learning engineer

Machine Learning Operations Engineer. Design and develop machine learning operational processes across diverse client environments.

Machine Learning Engineer (Contract). This is a focused, pragmatic engagement centred on data preparation, feature engineering, and anomaly detection - with an emphasis on clear, interpretable outputs for stakeholders. This is not a heavy Data Engineering or MLOps engagement.

Staff Machine Learning Engineer. They're exploring how AI can raise the quality and performance of large-scale digital products, blending hands-on engineering with real research. The team works on forward thinking projects that blend research, experimentation, and hands-on engineering.

As a Senior ML Engineer, you'll work across different clients, industries, and use cases - perfect if you enjoy variety and dislike being stuck on slow moving projects. Senior Machine Learning Engineer.

Kafka/Flink streaming pipelines.Real time micro batches implementation (5 minutes, hourly, daily).Mongo/Atlas as alternative implementation (we might land with S3 instead).SageMakerMLOps / SageMaker Training / SM Model Deployment.

Job Description All potential applicants are encouraged to scroll through and read the complete job description before applying. 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? xrnqpay 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. Please note this is a training course and fees apply

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 Progr

AI Engineer Programme Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Youll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The Outcome Entry-level AI Engineer roles across multi

AI Engineer Programme Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. The Outcome Entry-level AI Engineer roles across multiple industries. Youll learn Python programming, machine learning fundamentals, data handling, and applie

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 Progr

AI Engineer Programme Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Youll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The Outcome Entry-level AI Engineer roles across multi

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.Complete t

About you: You are a data savvy Machine Learning Engineer with advanced Python coding skills and a strong knowledge of AWS You have experience of across the full lifecycle of ML model development including into production You're collaborative, enjoy problem solving and working with others to overcom

As a Senior Software Engineer within the Machine Learning Enablement Team at the BBC, you will design and deliver the tools, platforms, and capabilities that empower data scientists and engineering teams across the organisation. Solid understanding of software engineering principles, design patterns

Senior Machine Learning Engineer, Pricing. Senior Machine Learning Engineer. You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work.

We are hiring a Senior Machine Learning Engineer to contribute to cutting-edge Research & Development. Fuelled by innovation, inclusivity, and a passion for making a global impact through world-leading Speech AI, we're looking for an experienced Machine Learning Engineer to accelerate our efforts to

The Explore Group are working with one of our tier 1 clients in securing an experienced Machine Learning Engineer with strong expertise in Computer Vision to join our team on a 6 month initial contract (with guaranteed extensions).

Principal Machine Learning Engineer a. Get notified about new Machine Learning Engineer jobs in. Collaborate with scientists and data engineers to translate biological data into predictive AI systems.

You not only have interests in systems engineering but are deeply curious about a range of interdisciplinary topics ranging from computational creativity, knowledge graphs, recommendations, web scale search, deep learning, large language models, computer vision, human consciousness, and the opportun

A technology solutions provider in London is seeking a skilled Machine Learning Engineer to develop AI models and collaborate with cross-functional teams.

This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. As a Machine Learning Engineer at Ultralytics, you will be at the forefront of developing and refining our world-class Ultralytics YOLO models. Machine Learning Engineering or a simil

Design, build and test data pipelines for machine learning that are reliable, scalable and easily deployable. Enthusiasm about using machine learning for science and engineering. Building machine learning models and pipelines in Python, using common libraries and frameworks (e.

A biotechnology firm in the UK is seeking an experienced ML Platform Engineer to lead technical projects and develop a robust platform for machine learning infrastructure. This role demands expertise in platform engineering, GPU scheduling, and experience with cross-functional team collaboration. Yo

We are looking for exceptional machine learning engineers to work alongside our quantitative researchers on cutting-edge machine learning problems. As a member of the Core Technical Machine Learning team, you will be engaged in a mixture of individual and collaborative work to tackle some of the tou

The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, Tensor

Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. We are now looking for a Machine Learning Engineer to build and deliver innovative AI products to our customers. For this particular role, we need

Senior Machine Learning Engineer, AI Infrastructure, Autonomy. Senior Machine Learning Engineer, AI Infrastructure, Autonomy.

Machine Learning Engineer - Outside IR35, up to £550 per day.

Learning & Growth: Conference and learning budgets, mentorship, and upskilling programmes. Get notified about new Machine Learning Engineer jobs in. Direct message the job poster from Signify Technology.