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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

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! 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 Pay up to £57,367, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work-life balance. Are you a data scientist who wants your work to have real impact in helping prepare a major government department for the future of automation and AI? As a Data Scientist in DWP Digital, you'll work on automation and AI-driven enhancements within the ServiceNow platform, including the Virtual Agent - our conversational interface that helps colleagues get support quickly through automated chat - used by around 120,000 colleagues. You'll use machine learning, analytics and data engineering skills to solve complex problems, reduce manual effort, and directly influence how services perform at scale. This role offers a unique blend of hands-on modelling and experimentation with collaboration alongside a variety of teams and departments. You'll own and deliver data science projects, identify actionable insights, and shape how the department adopts emerging AI capabilities. The scale of what we do is extraordinary, and our purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression) to real problems, ensuring solutions are robust and meet the intended business outcome Familiarity with Jupyter / notebook workflows Ability to evaluate and prioritise improvement opportunities and plan changes that deliver measurable benefits Strong communication skills, able to translate complex analytical findings into clear, understandable messages for both technical and non-technical audiences Knowledge of IT methodologies such as Agile, and experience working with multidisciplinary teams A degree or higher in STEM ( Science, Technology, Engineering, or Mathematics) is essential for this role, and evidence of qualification will be requested. You and your role As a Data Scientist you'll work at the heart of automation and AI transformation, with a core focus on improving the ServiceNow platform and its Virtual Agent capabilities. You'll use data to understand how colleagues interact with it, where conversations succeed or break down and how automation can take friction out of these journeys. You'll own and deliver projects that explore how machine learning, natural language processing and automation can streamline workflows while reducing manual effort at scale. On a daily basis you will work closely with developers, product owners, researchers and designers to prototype and iterate solutions. Using tools such as Python, R, SQL, Jupyter and Power BI, you'll explore data, build and test models (within ServiceNow), and turn analytical findings into actionable insights that support better service design. A key part of your role will be your approach understanding problems, shaping the approach, and presenting insight in a way that influences decisions. You'll help ensure our work adheres to privacy, security and ethical standards, and you'll contribute to building capability by promoting best practice in data science. In this role you'll play a significant part in preparing DWP for future AI opportunities by shaping how emerging technologies are applied across services used by thousands of colleagues and millions of citizens. If you are naturally curious, collaborative and motivated by solving complex problems through evidence and experimentation then this could be for you. Details. Wages. Perks. Location: You'll join us in one of our brilliant digital hubs in Blackpool, Birmingham, Leeds, Manchester, Newcastle or Sheffield, whichever is most convenient for you. Hybrid Working: We work a hybrid model - you'll spend some time working at home and some time collaborating face to face in a hub. Pay: We offer pay of £44,447 to £57,367, based on our assessment of your capability. Pension: You'll get a brilliant civil service pension with employer contributions worth 28.97%, worth up to £12,876 per year. Holidays: A generous leave package starting at 26 days rising to 31 days over time. You can also take up to 3 extra days off a month on flexi-time. You'll also get all the usual public holidays. We have a broad benefits package built around your work-life balance which includes: Flexible working including flexible hours and flex-friendly policies Time off volunteering and charitable giving Bring your authentic self to work with 'I Can Be Me in DWP' Discounts and savings on shopping, fun days out and more Interest-free loans to buy a bike or a season ticket, so it's even easier for you to get to work and start making a difference Sports and social activities Professional development, coaching, mentoring and career progression opportunities. And we have an award-winning environment and culture: DWP have been recognised as 2024 Diversity Employer of the Year at the Computing Women in Tech Excellence awards Diverse and Inclusive Leadership at Digital Leaders Awards 2024 Commended as Best Place to Work in Digital category in the Computing Digital Technology Leaders awards 2025 Recognised as one of the Best Public Sector Employers at 2025 Women In Tech Employer Awards Process We know your time is valuable so our application and selection process is just two stages: Apply: complete your application on Civil Service Jobs. There'll be full instructions when you click through. Interview: a single stage interview online. Please note, a degree or higher in STEM ( Science, Technology, engineering, or mathematics) is essential for this role, and evidence of qualification will be requested. Click APPLY for more information and to start your application. TPBN1_UKTJ

Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. Staff/ Lead Machine Learning Engineer. They are focused on designing, developing, and deploying cutting-edge machine learning solutions across th

Machine Learning Engineer (Contract).

Deploy, productionise, and monitor machine-learning models across the business. We are working with a fully remote gaming and entertainment business that is scaling its data and machine-learning capabilities. With strong backing for data-driven decision-making, they are now looking for a Machine Lea

As a Machine Learning Engineer you'll take open-source LLMs (code and general models) and turn them into high-performance software engineer agents using supervised fine tuning and large scale reinforcement learning. Machine Learning Engineer (PyTorch LLM) London onsite to £110k. Do you have experti

Staff Machine Learning Engineer. Machine Learning / AI Engineering.

AI Engineer (Machine Learning LLM Python) Newcastle onsite to £85kAre you an AI Engineer with fluent Polish language skills combined with a first class education looking for an opportunity to progress your career, working on complex and interesting AI systems in an impactful role?You could be joini

Your new company This organisation is a long-established leader in smart mobility and intelligent transport solutions, with decades of innovation in traffic data, road safety, and network optimisation.It designs and delivers advanced technologies-from intelligent road-safety products to real-time tr

Machine Learning Developer (Contract)Based - WarwickRate: £500-£600 per dayI am working with Siemens Energy to find an experienced Machine Learning Developer to join their team in Warwick.

FDJ United aims to become the most insight-driven gambling company, with machine learning and generative AI at the heart of how we deliver customer experiences, optimise operations, and generate actionable insights. This role is primarily focused on building scalable, end-to-end machine learning sol

Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients. You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture, and defining best practices. Defining and implement

Driving the machine learning strategy and building best practices from the ground up. The platform transforms educational content into smart, personalised learning tools - and is already seeing rapid user growth and strong traction in the market.

Collaborate with Waymo Machine Learning teams in London and Oxford to and the Google DeepMind team in London to use large models to improve simulation realism. Strong background and experience in applied Deep Learning.

You will be responsible for designing, implementing, and optimising novel machine learning models and algorithms to perform challenging and diverse tasks. Work with cross‑functional teams to deploy machine learning models in production environments, solving issues and ensuring scalability and perf

Proven track record in applying machine learning / deep learning techniques for time‑series, physiological signals or continuous sensor data. Lead the development and delivery of novel signal processing and machine learning models to interpret physiological signals, e. Senior Machine Learning Engi

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

Strong background in machine learning or a closely-related field (e. As a Machine Learning Researcher, you will help design, train, and evaluate foundation models that learn from large-scale biological data (genomics, epigenomics, single-cell, proteomics, clinical signals). Modelling & algorithms ��

Machine Learning Research Engineer. Machine Learning Research Engineer. Annual budgets for learning and wellbeing.

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

We're looking for a Senior Machine Learning Engineer who can design, build, and optimize the intelligent systems that power our product recommendations, buyer guides, and upsell/cross-sell features. Confidence to push back on use of data sets we shouldn’t be “learning” from.

As a Machine Learning Scientist, you will apply sophisticated machine learning methods to a wide variety of complex tasks including data mining and exploratory data analysis and visualization, text understanding and embedding, anomaly detection in time series and log data, large language models (LLM

A leading global quantitative fund is hiring a Machine Learning Engineer to scale how machine learning models are built, shipped, and supported across research and trading. Roll out automation and CI/CD workflows tailored to machine learning delivery. Maintain internal training codebases and documen

You will lead the development and improvement of machine learning models that detect damage on large commercial vehicles using image data captured in operational environments. Strong commercial experience in machine learning with a focus on computer vision.

Significant experience in leading and executing machine learning initiatives, particularly in high-growth and large-scale product companies. You will join us as our Head of Machine Learning, and report to our CTO. You’ll manage a Chapter of 9 Machine Learning Engineers, including 3 Team Leaders.

Machine Learning Engineers at Cleo work on building novel solutions to real-world problems. 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.

Software Engineer (Leadership) - Machine Learning Responsibilities:.

We build the shared platforms, tooling and patterns that enable engineering & product teams to safely, reliably and efficiently use machine learning and generative AI across the business. We’re looking for a Machine Learning Engineer to join our AI Foundations team. Machine Learning Engineer or si

Senior Software/Machine Learning Engineer - Apple Music. London, England, United Kingdom Machine Learning and AI. Our work includes data analysis, large‑scale offline pipelines, machine‑learned model training and inference, and online services to provide real‑time personalised experiences.

Machine Learning Research Engineer (Foundational Research). Hands‑on experience implementing and scaling supervised fine‑tuning, preference learning, and reinforcement learning pipelines for LLMs. Experience with data‑centric ML approaches, including synthetic data generation, curriculum learn

Machine Learning Engineer for a 12-24 month contract. Design, optimise and operate robust end‑to‑end machine learning pipelines within the Databricks environment on Azure. Implement governance and observability, integrating compliance, monitoring and audit features across the full machine learni

Your mission as a ML Engineering Manager is to lead, and manage the end-to-end delivery of cutting‑edge, production‑grade Machine Learning and AI platforms. Deep Domain Expertise: 8+ years of related experience or equivalent, with deep technical expertise in ML and AI production implementation a

Your title will be Lead Machine Learning Engineer.

Machine Learning Engineer – Recommendations. Develop and deploy machine learning models that optimise product relevance, content ranking, and user engagement. This isn’t a cog‑in‑the‑machine role.

Background includes machine learning and AI implementation. We are looking for an excellent machine learning engineer who understands and has experience in this field and current Generative AI trends. Solid understanding of machine learning principles.

Machine Learning Engineer – Forward Deployed. You will deploy and harden machine learning components in real-world energy and industrial environments. Work at a well-funded startup backed by top-tier VCs, operating at the intersection of deep learning and physical science.

A leading FinTech company in Central London is seeking a Head of Machine Learning to lead their Data Science team. Candidates should have 3-4 years of experience in Machine Learning, AI, and a strong technical background in Python and Azure.

Senior Machine Learning Engineer. Lead the algorithm selection, design, and prototyping of machine learning models to solve complex business problems, including recommendation, personalization, and predictive analytics. Apply expertise in statistical modeling and machine learning to perform deep dat

Direct message the job poster from microTECH Global LTD.Location - London / Hybrid (3 days onsite, 2 days remote).MicroTECH Global is seeking unique individuals for a distinctive technology.Are you a Research Engineering Manager passionate about technology and leading cutting-edge research that shap

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

Develop, maintain, and optimize scalable data pipelines & machine learning models based on key metrics for scalability, reliability, and real-world impact. Experience in both data engineering and machine learning, with a strong portfolio of relevant projects. Understanding of ethical considerations

Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX). Have industry experience in machine learning research. Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems.

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

Strong understanding of classical Machine Learning and modern Deep Learning methods. Build and guide diverse teams that translate business needs into Machine Learning solutions and communicate recommendations clearly to non‑technical stakeholders. Machine Learning Engineer Manager.

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

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