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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 successStep 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. 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.

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

This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. Client Details Leading international Manufacturing & Retail Company Description This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. This is a cross-functional business role designed to support data-driven decision making across the entire organisation - including Finance, Merchandising, Creative, Licensing, Sales, Supply Chain, eCommerce, and Operations. The role will additionally support marketplace, eCommerce, and consumer insight initiatives to help drive commercial decision-making across retail and digital channels. The successful candidate will be responsible for transforming complex business data into actionable insights, building reporting frameworks, identifying trends and opportunities, and supporting leadership teams with strategic analysis and forecasting. The role will also play a key part in driving the company's adoption of AI technologies, automation, and modern analytics tools. Key Responsibilities: Analyse large and complex datasets across multiple platforms to identify trends, risks, opportunities, and operational improvements Develop and maintain dashboards, KPIs, and reporting suites using Power BI Support the Finance team with forecasting, budgeting, margin analysis, profitability reporting, and commercial insights Partner with Merchandising, Sales, Licensing, Creative, Supply Chain and Operations teams to provide analytical support and performance reporting Build predictive models and analytical tools to support strategic decision-making and business planning Drive the adoption of AI and automation solutions across the business to improve efficiency and insight generation Work with ERP and operational systems, including D365 Business Central, to extract, validate, and analyse data Improve data quality, governance, consistency, and reporting accuracy across departments to ensure one version of the truth Develop and maintain data pipelines and automated reporting processes where appropriate Present findings and recommendations clearly to senior leadership and operational stakeholders Support ongoing digital transformation initiatives across the business Ensure analytical work follows best practices around governance, security, and ethical AI usage Monitor and analyse eCommerce and marketplace KPIs including conversion rate, click-through rate (CTR), ACOS, TACOS, Buy Box performance, average selling price (ASP), keyword rankings, and inventory health metrics. Support eCommerce and marketplace advertising analysis, including Amazon Sponsored Ads performance, ROAS optimisation, campaign analysis, and budget efficiency reporting. Support data-driven optimisation of eCommerce product listings, keywords, digital content, and marketplace visibility to improve discoverability, conversion, and sales performance. Conduct competitor, pricing, and market analysis to identify trends, opportunities, and risks across eCommerce and retail channels. Apply predictive analytics and trend analysis to support demand forecasting, inventory planning, and commercial decision-making. Support testing and experimentation across pricing, advertising, promotions, and digital content strategies, using analytical insight to measure performance and recommend improvements. Work closely with merchandising, eCommerce, licensing, and marketing teams to provide commercially focused analytics and actionable insight.Profile Essential: Previous experience within a Data Scientist, Data Analyst, Business Intelligence, or Analytics role Strong analytical and problem-solving skills with commercial awareness Advanced Power BI capability, including dashboard creation, DAX, data modelling, and visualisation. Strong experience using SQL for querying and manipulating datasets Experience using AI tools, large language models (LLMs), and automation technologies to support analytics, reporting, and business insight generation. Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central (BC) and/or Syspro Understanding of AI, machine learning, automation tools, and modern analytics techniques Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders Excellent communication and stakeholder management skills Highly organised with the ability to manage multiple priorities in a fast-paced environment Experience working with eCommerce and marketplace analytics, preferably Amazon Seller Central and Amazon Advertising platforms. Understanding of eCommerce performance metrics including ROAS, ACOS, TACOS, conversion rate optimisation, keyword ranking, and digital traffic analysis. Experience translating commercial and marketplace data into actionable business insight.Desirable: Experience within a consumer products, retail, licensing, apparel, manufacturing, or distribution environment Experience with forecasting, demand planning, or supply chain analytics Experience developing AI-enabled business solutions or workflow automation Understanding of financial reporting and commercial finance concepts Degree qualified in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative discipline Experience with Amazon marketplace optimisation tools such as Helium 10. Experience using social listening and consumer insight platforms such as Meltwater. Experience within licensed apparel, consumer products, retail, eCommerce, or marketplace-driven businesses. Job Offer

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

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,

They train, deploy, and improve machine learning models in production, ensuring they deliver meaningful impact for our users. We’re looking for our next Lead Machine Learning Engineer to join our Chat Evaluations team. Experience deploying multiple machine learning models into production.

Clustering, Industry, Machine Learning, NLP, Parsing, United Kingdom. At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Conduct experiments on the latest deep‑learning techniques (sparsified 70 B + runs, distributed training on th

We’re keen to hear from Machine Learning Engineers who enjoy learning, collaboration, and building practical solutions. We’re looking for a Machine Learning Engineer to join our. Working in a cross‑functional team of machine learning engineers, data scientists, and product partners, you’ll h

Proven track record in machine learning, including multimodal learning, designing new architectures, hands-on experimentation, analysis, visualization, and model deployment. We're looking for individuals with strong engineering skills, including expertise in designing, implementing, improving, and d

This is for a organisation is building a platform designed to help users navigate and analyse large volumes of complex technical and legal text using a combination of machine learning, search technologies and LLM-driven approaches. The position sits across applied machine learning, NLP and search, w

The Senior AI/ML Research Engineer will contribute to the development of modern machine learning systems in an environment where cloud-based development, data platforms, and advanced AI tooling are central to delivery. This role is central to building reusable machine learning architectures, support

We use machine learning to model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists etc.

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

Machine Learning Lifecycle & MLOps | Python & Software Engineering Best Practices | Cloud Platforms (AWS, Azure, GCP) | Architecture & Security | Containers & Orchestration (Docker, Kubernetes) | ML/Statistical Methods | Deep Learning Frameworks (TensorFlow, PyTorch, Scikit-learn) | Technical Leader

VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state‑of‑the‑art in runtime efficiency, visual quality and latency. As a Manager / Senior Manager within the Visual Computing Group, you wi

As an Applied AI ML Senior Associate in Machine Learning Center of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including time series analysis, reinforcement learning, causal inference, and natural language processing. Published research

Shape the machine learning strategy for content understanding and platform-level decisioning. You have strong experience building production-grade machine learning systems at scale. You have worked with or are interested in multimodal machine learning.

Technical depth in machine learning, deep learning architectures (e. MS or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field. Experience (typically 8+ years post‑graduation) in machine learning, computer vision, or robotics, with significant work in pe

Machine Learning Engineering Manager.

We're seeking a Principal Machine Learning Engineer who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. Lead the architecture, design, and deployment of scalable Generative AI and Machine learning system

Train, evaluate, and deploy machine‑learning models in production. Ready to start your AI / Machine Learning Engineer journey?. AI / ML Engineers build, evaluate, and deploy machine‑learning systems at scale.

Associate Professor in Machine Learning and Natural Language Processing (Social Media Analytics). With established strengths in machine learning, large language models, data science, cybersecurity, and distributed systems, UNSW offers an exceptional environment for ambitious academics who are ready

A global travel technology company is seeking a Director of Machine Learning Science in Greater London. This role requires 12+ years in Machine Learning, along with 5+ years in management. Responsibilities include establishing machine learning roadmaps and utilizing modern technologies to enhance us

As an Applied AI Machine Learning Vice President in the ICB Risk Modelling team, you will play a crucial role in analysing business problems and managing and developing machine learning models used to mitigate fraud risk within ICB. Work experience in applied data science, machine learning technique

You will draw upon your existing engineering and Machine Learning experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems. Design, implement, and run experiments to evaluate the performance and robustness

Bachelor's degree or equivalent practical experience.Master's degree or PhD in Computer Science or related technical field.Experience developing accessible technologies.Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and intera

We’re seeking a Staff Machine Learning Engineer to build and scale foundational ML systems that power content understanding across Spotify. Build and scale machine learning systems that generate deep understanding of content across modalities. You have experience building and deploying machine lea

Lead Machine Learning Engineer. We’re looking for a Machine Learning Lead Engineer who wants to operate as a player‑coach — someone still very hands‑on, but excited to grow into a proper management role over time.

Were looking for an exceptional ML Engineering Manager to lead the Machine Learning efforts across our Growth team — the squad responsible for making smart, personalised decisions about what each of our 4M+ users sees, when they see it, and how we optimise for long-term value. Multi-armed bandits

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

You will lead a team working to build, scale, and optimize the machine learning infrastructure that powers Recursion’s drug discovery platform. Enable AI/ML, LLM, and Agentic Systems teams for scale – build and operate platforms that allow data scientists and ML engineers to train, deploy, and m

As Technical Lead, Machine Learning, you own the execution layer of A1’s intelligence. Make pragmatic trade-offs and ship improvements quickly, learning from real usage.

Provide servant leadership to ~20 applied research scientists, machine learning engineers, engineering and research managers, backend engineers, and data specialists.

As a Principal Machine Learning Engineer, you will serve as a high-level technical authority, steering our most complex projects and driving the next wave of AI innovation. Influence company‑wide technical strategy by leveraging deep domain expertise in machine learning and advanced statistics. Yo

Recruit, develop, and manage highly skilled and independent applied machine learning scientists in a complex environment. You have 12+ years experience in Machine Learning Science. Are you passionate about applying advanced machine learning techniques to solve real‑world problems?.

We’re looking for a Machine Learning Lead Engineer who wants to operate as a player‑coach — someone still very hands‑on, but excited to grow into a proper management role over time.

Our Principal Machine Learning Engineers are technical leaders who shape the direction of intelligent systems across Apple. Extensive hands‑on Machine Learning engineering experience, with a demonstrable track record of shipping ML‑powered products at scale. The AI & Data Platforms (AiDP) team i

Our unique end-to-end machine learning approach learns to drive in complex, never‑seen‑before urban environments. We are seeking an Engineering Manager for our Machine Learning Platform (MLP) team, responsible for leading a team of over six engineers. We’re building artificial intelligence cap

For our business, for clients, and for youHead of AI Infrastructure & Machine Learning OpsWe are seeking an ambitious and visionary Head of AI Infrastructure & Machine Learning Ops to join our leadership team and play a critical role in scaling the infrastructure, tooling, and deployment capabil

As Technical Lead, Machine Learning, you own the execution layer of A1’s intelligence. Make pragmatic trade-offs and ship improvements quickly, learning from real usage.

Your work will influence long‑term platform evolution and help shape the architecture, software stack and tooling that underpins large‑scale machine learning computation. Strong understanding of one or more deep learning frameworks, such as PyTorch.

Are you ready to lead the revolution in how travel content is generated, moderated, and delivered? Expedia Group is seeking a Director of Machine Learning Science to lead our Content AI strategy and execution. In this role, you will :Define the Content AI Strategy: Establish the technical roadmap an

Experience with machine‑learning frameworks (PyTorch, TensorFlow, JAX). As a Research Engineer within Reinforcement Learning, you will collaborate with researchers and engineers to advance the capabilities and safety of large language models. Architect and optimize core reinforcement learning infr

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

As a Staff Machine Learning Engineer on the Predictive AI Models team at HubSpot, you’ll take on many responsibilities—leveraging deep expertise in machine learning to drive product vision forward through strong collaboration and hands‑on coding.

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

PhD in Computational Biology, Machine Learning or a related scientific field. Individuals in this role are expected to be accomplished in computational biology and machine learning. InstaDeep is looking for Research Engineers to join our Research Team in London, working at the intersection of machin

Principal Machine Learning Engineer. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.