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Trainee Data Scientist - No Experience RequiredAre you looking to kick-start a new career as a Data Scientist?We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. \n Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: \n Step 1 - Full Data Science Career Training \n You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. \n Step 2 - CompTIA Data+ \n CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. \n Step 3 - Official Exam \n The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. \n Step 4 - Practical Projects \n Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. \n Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. \n Your Data Science Role \n Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. \n We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. \n We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories.Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.

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

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support until placed • Personalised 1-1 tutor support • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

Job Title: AI Trainee Engineer – £45,000–£75,000 – Job Programme This is a self-funded programme that leads to employment, fees apply. Job Guarantee Complete the programme and get a job, or get your course fees back. Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as a few weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification, • Training in Python, Machine Learning, and AI systems, • Hands-on projects using real-world AI tools and technologies, • Professional CV and LinkedIn support, • Interview preparation, • Dedicated recruitment support until placed, • Personalised 1-1 tutor support, • Hands-on projects to build your AI portfolio Flexible, affordable, achievable To make things easier, we offer flexible payment options, allowing you to spread the cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000, • Machine Learning Engineer: £60,000 – £75,000, • Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment team helps you secure your first job role. Apply now to get started.

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

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

ML algorithm development in the RF domain for electronic warfare.South East England, hybrid working; to £58,000 + Benefits.This renowned research institute is developing world-class capabilities in the understanding, management and exploitation of the electromagnetic environment through the applica

Build Python APIs using FastAPI or Flask to serve machine learning models. Most machine learning roles talk about building models.

Senior Machine Learning Engineer. This is a hands-on engineering role focused on building and operating production machine learning systems rather than conducting pure research. As a Senior Machine Learning Engineer, you'll own critical ML systems from end to end, taking ideas from experimentation t

You will work alongside quantitative researchers, engineers and research leadership to identify emerging research directions, evaluate new developments in machine learning, and help translate promising academic advances into practical applications. You will also represent IMC externally through part

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

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

London, 4 days in office (Shoreditch).Up to £220,000 + Bonus + Compelling Equity.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 and g

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

Our client, one of the most established names in their sector, are on the lookout for a Director of Data Science to lead the Data Science, Machine Learning & Advanced Analytics capability.

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

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

Strong practical and theoretical foundation in machine learning techniques, feature engineering, and deep learning paradigms. Senior Machine Learning Scientist (Experiences). Senior Machine Learning Scientist.

The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. It will combine expert human judgements and advanced machine learning models to deliver training

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

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

Principal Machine Learning Scientist. Principal Machine Learning Scientist (Experiences). Master’s degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field.

Personal development - dedicated support for learning, development, and leveling up over time. Experience with geometric deep learning or neural operators, architectures that operate on meshes, point clouds, or graphs.

Extensive experience building and deploying Machine Learning models to production. You’ll be working on a hugely impactful workstream, focused on the machine learning that underpins our Risk Decisioning feature.

We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. The opportunityWe are seeking an exceptional Machine Learning Scientist who combines strong ML fundamentals with a deep understanding of biological dat

Research Engineer, Machine Learning (RL Velocity). This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferenc

Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects.

Learning and development: Budgets for books, courses, and company-wide training to support your continuous growth.

You will lead the machine learning strategy and execution that powers how millions of users search for, discover, and organize their complex travel itineraries. Principal Machine Learning Scientist. Master's degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field.

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

Our Data and Machine Learning team is growing! We’re looking for a Head of Data Engineering and Machine Learning to join our team in London.

Lead / Principal Machine Learning Engineer. The team partners with large corporates to build machine learning solutions that bring commercial value, automate decisions, and enhance resilience across business operations. Lead technical delivery across multiple applied machine learning projects, inclu

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

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

Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second.We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins,

Principal Machine Learning Engineer. As a Principal Machine Learning Engineer, you’ll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real‑time insights and personalised experiences for millions of fans. Lead the end‑to‑en

Experience with machine‑learning frameworks (PyTorch, TensorFlow, JAX). Architect and optimize core reinforcement learning infrastructure, including training abstractions and distributed experiment management across GPU clusters. Design, implement, and test novel training environments, evaluations

Clustering, Industry, Machine Learning, NLP, Parsing, United Kingdom. Experience in deep learning, NLP or LLMs; bonus for CUDA or data‑pipeline chops. At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity.

Cantina is a new social platform founded by Sean Parker with the most advanced AI character creator.Our bots are lifelike, social creatures that can interact wherever people are online—across voice, video, and text.Create yourself, imagine someone new, or choose from thousands of characters to sha

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

We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. You’ve built and shipped CV‑focused deep learning systems and can demonstrate strong applied ML engineering (not research‑only). We believe autonomy repres

White Collar Factory (95009), United Kingdom, London, LondonStaff Software Engineer - Machine Learning. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML e

Constructive Bio is a VC-backed biotechnology startup based in Whittlesford, Cambridge.Our unique technology turns living cells into biofactories, creating sustainable new materials and therapeutics.With full control of the genetic sequence and code, we are exploring chemical space previously unreac

Participate in consultancy projects involving machine learning applications to plasma science. Proven research experience in machine learning applied to scientific domains. Experience applying machine learning to computational physics, chemistry, or materials science.

You have contributed substantially to major machine learning efforts such as open‑source libraries, significant product deployments, or impactful scientific publications. Develop machine learning systems with real‑world impact (~90%):. Stay informed about the latest advances in machine learning.

Machine Learning Solutions Engineer.

Hands‑on with modern machine learning (sequence models/transformers, representation learning, regularization, cross‑validation, causal/robust inference) applied in practice. Machine Learning Researchers on our Options team turn cutting‑edge ideas and petabyte‑scale data into bleeding‑edge

This is a great job for someone who is energized by defining and executing Machine Learning (ML) strategy at scale, shaping how Aviva connects with millions of customers. They will be passionate about fostering innovation, experimentation, and continuous learning, inspiring their team and stakeholde