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About UYR: As a leading supplier of technology-driven marketing solutions, we partner with some of the UK’s biggest names across retail and hospitality sectors. We are committed to delivering innovative end-to-end print solutions that empower big brands. As we expand our capabilities in artificial intelligence, we are seeking a forward-thinking AI Engineer Apprentice to join our team. This role offers a unique opportunity to contribute to cutting-edge projects while gaining a formal qualification through a government-approved apprenticeship programme. About the role: You will study part-time towards the AI Level 6 qualification while working on live projects. We’re looking for someone with a solid technical foundation in AI and Machine Learning whether gained through academic study, self-learning, or hands-on experience who is ready to apply their skills in a dynamic, real-world environment. You’ll be involved in strategic areas of applied AI, including: • Agentic AI for process optimisation, • Research and prototype autonomous AI agents to enhance workflow efficiency, • Explore orchestration frameworks (e.g. LangChain, CrewAI, OpenAI Assistants), • Design intelligent tools to support high-volume or time-critical operations, • Real-time accessibility, • Develop live captioning and transcription systems to support inclusive services, • Work with ASR technologies (e.g. Whisper, Deepgram, Google Speech API), • Support the design and testing of AI-driven solutions across client and internal projects, • Conduct applied research into LLMs, agentic AI, speech technologies, and more, • Translate user needs into technical experiments and prototypes, • Contribute to codebases, documentation, and testing efforts, • Participate in workshops and stakeholder engagements You may be: • A graduate or undergraduate in Computer Science, AI, Data Science, or related fields, • A self-taught AI/ML practitioner with relevant projects, • Strong foundation in AI/ML (e.g. neural networks, NLP, transformers), • Proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow), • Familiarity with LLM APIs and open-source models (e.g. GPT, Claude, Whisper), • Understanding of agentic AI frameworks (e.g. LangChain, AutoGen), • Experience with ASR or captioning tools, • Knowledge of accessibility standards (e.g. WCAG), • Exposure to cloud platforms (e.g. AWS, Azure) Acceptable qualifications include any of: • Two A-levels in one or more similar subject plus B in A-Level maths., • Two A-levels in one or more similar subject plus 2-years work experience in tech., • Level 4 or 5 apprenticeship in a similar technical subject.**, • International Baccalaureate at Level 3 in a similar subject., • 3+ years in a similar subject-related role. If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications. For more information please visit the UK ENIC website. Working hours: 40 hours per week. What you’ll gain: • A fully funded qualification through a recognised UK apprenticeship programme, • Experience working with leading clients in media and creative sectors, • Mentorship from experienced professionals, • A flexible and inclusive working environment, • Paid annual leave / holiday entitlement, • Career progression, • Learning and development opportunities 90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average. About QA: Our apprenticeships are the perfect way to gain new skills, earn while you learn, and launch yourself into an exciting future. With over 50,000 successful apprenticeship graduates, we're a top 50 training provider, dedicated to helping you succeed. Interested? Apply now! Please be advised that this advert may close prior to the closing date stated above if a high number of applications are received. If you are interested in this vacancy please apply below as soon as possible.

Junior Data Scientist: Machine Learning & Python Specialist with SQL🐍.

Experience in machine learning (research or applied). If you’re looking for a role where you can take responsibility, build from first principles, and apply machine learning to genuinely complex scientific problems, this could be your next move. We’re working with an early-stage deep tech compan

Experience in commercial machine learning research and development. Experience working with data, training and evaluating machine learning models. Previously registered audio machine learning patents.

This position is for an experienced Machine Learning Engineer to join a newly established data science team.

Senior / Staff Machine Learning Engineer - Gaming. Deep understanding of machine learning, data analysis, and statistical modelling.

As a Machine Learning Engineer (NLP), you will work with our small but growing team and play an active role in building our Machine Learning/NLP capability. As Machine Learning Engineer (NLP), you will be responsible for:. Machine Learning Engineer (NLP).

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 Learning Engineer to help operationalise, maintain, and optimise their ML systems a

Industry experience as an AI / Machine Learning Engineer (this could include LLMs, NLP, applied ML, GenAI or related specialisms). AI / Machine Learning Engineering Trainer. We’re recruiting an AI / Machine Learning Engineering Trainer to join a rapidly growing AI Education team within a global Te

This role focuses on taking machine learning. Lead Machine Learning Engineer – Defence & Security.

Good experience in Machine Learning, AI, Data Science, Engineering and SaaS – ideally 3-4 years. In role, you will head up the Data Science/Machine Learning team and drive the implementation of AI into all practices across the company, including their core SaaS products which are used by many weal

Senior Machine Learning Engineer. Apply reinforcement learning approaches including SFT, DPO, PPO and GRPO. Strong hands on reinforcement learning experience.

Job title: Senior Machine Learning Research Engineer Salary: £64,490 - £86,255Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: PermanentHours: Full Time (35 hours per week) Shape the future of AI-powered learning solutions with Cambridge University Press & Assessme

Machine Learning Engineer (Python AWS MLOps) Remote UK to £90kAre you a tech savvy Machine Learning Engineer with experience of implementing ML algorithms into production?You could be progressing your career in a senior, hands-on role as part of a friendly and supportive international team at a gro

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.

JOB- Machine Learning Engineer LOCATION- Reading TERM- Permanent SALARY- £60,000 to £90,000 per annum (plus benefits)My client is a technology-focused organisation developing advanced AI and data-driven solutions across a range of industri

You should have suitable management experience, with at least experience managing high‑performing machine learning teams. You have 12+ years experience in Machine Learning Science. You have extensive, up‑to‑date knowledge and hands‑on experience with machine learning and data engineering tec

You hold a PhD (or equivalent experience) in machine learning, computational biology, or structural biology, with a proven track record of applying machine learning to real-world protein structure or drug discovery challenges. Machine Learning and AI Apprenticeship Coach. Develop and maintain scalab

Machine Learning Engineer or Data Scientist. Help models understand real-world deep learning workflows by designing, reviewing, and optimizing PyTorch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimization, scaling, and tr

Machine Learning Deep Learning Pytorch Data Science Tensorflow. Build and deploy sophisticated machine learning models to improve experiences for millions of users. Successful track record of productionizing and applying machine learning techniques in addressing real‑world problems end to end.

Staff Machine Learning Engineer. Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems. Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a re

Build and optimise models using machine learning and deep learning techniques. We're looking for a strategic and technically skilled Lead AI & Machine Learning Engineer to join our Homes Platform AI Team. Lead AI & Machine Learning Engineer.

A leading gaming company in Greater London is seeking a Machine Learning Engineer to innovate and push technological boundaries within game development. This role involves designing machine learning models, contributing to research, and collaborating with diverse teams. Competitive compensation and

Hands-on experience designing and deploying production-grade machine learning systems. Strong foundational knowledge of various machine learning algorithms and a proven ability to select the appropriate methodology, avoiding a one-size-fits-all approach. Senior Machine Learning Engineer.

AWS Certified Machine Learning – Specialty, TensorFlow Developer). Get notified about new Machine Learning Engineer jobs in. Senior Machine Learning Engineer.

Proven track record in applying machine learning / deep learning techniques for time‑series, physiological signals or continuous sensor data. As a Senior ML Engineer / Senior Data Scientist at CoMind, you will join a multidisciplinary team working at the intersection of neurophysiology, optics, ma

We are seeking an innovative and results-driven.You will be instrumental in transforming complex data into actionable insights, building predictive models, and driving business strategy using cutting-edge analytical techniques.This role is for a hands-on individual who is excited to move models from

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.

A machine learning mage: You write clean, scalable, high‑performance deep learning code. Think really hard about how manufacturing will look in 10+ years and build a brand‑new intuitive OS and interfaces for orchestrating factories, monitoring machines, controlling production, etc. Build insane

You'll be working directly with our Data Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co‑Founder on building pipelines and ad optimization models. Experience in implementing probabilistic or machine learning algorithms. Access to StackAdapt programmatic courses and certif

Key Qualifications*** Excellent understanding and experience in deep learning model development, optimization and deployment (PyTorch, Torch compile, export workflows such as Torch Export and ONNX, performance profiling)* Strong software engineering skills and experience building robust ML codebases

Proven track record in applying machine learning / deep learning techniques for time‑series, physiological signals or continuous sensor data. As a Senior ML Engineer / Senior Data Scientist at CoMind, you will join a multidisciplinary team working at the intersection of neurophysiology, optics, ma

Senior Machine Learning Engineer. We’re partnering with a specialist AI and data consultancy that designs and deploys bespoke machine learning systems across sectors such as national security, defence, critical infrastructure, and digital public services. As a Senior Machine Learning Engineer, you

We are looking for an exceptional Machine Learning Engineer to work in our ML and HPC Architecture team, identifying and working with tools at the cutting‑edge of machine learning. Evaluating the latest hardware and software in the machine learning ecosystem. You will be comfortable working both i

They should be highly proficient in the Microsoft ecosystem—including Fabric, Azure AI/ML, Foundry, API‑driven solution development and data‑warehousing concepts—and capable of building practical, production‑ready AI and machine‑learning models.

Machine Learning & NLP Expertise: Strong understanding of machine learning and natural language processing with relevant commercial experience in building and deploying NLP solutions. Senior Machine Learning Engineer – Definely. Join to apply for the Senior Machine Learning Engineer role at Define

Design and implement machine learning models for property prediction and plasma simulation. Participate in consultancy projects involving machine learning applications to plasma science. Proven research experience in machine learning applied to scientific domains.

AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. LLMs/VLMs, and/or reinforcement learning or imitation learning, transformer models, autoencoders

We're hiring Graduate Machine Learning Researchers for our quantitative modelling team. You will design, test, and implement new machine learning models in Python, continually improving our existing state-of-the-art solutions. A strong mathematical understanding of the fundamentals of Machine Learni

You will lead a talented team of ML and full-stack software engineers, guiding them in building robust, scalable, and innovative machine learning systems and infrastructure. ML System Design and Implementation: Lead the design, development, deployment, and maintenance of scalable and production-read

As a Machine Learning Engineer, you’ll play a central role in advancing our Generative Physics simulation platform. Research effective ways to represent geometric design variations for efficient use by machine learning models. Deep understanding of machine learning theory, including optimization,

We’re looking for an experienced Machine Learning Engineer to lead the development and training of advanced large-scale language models. Experience: 3–5+ years working in ML engineering or applied machine learning roles, with hands‑on responsibility for training and deploying models in product

As a Senior Machine Learning Engineer at Zepz, you will occupy the critical intersection of research and engineering within our FinCrime (Financial Crime) team. The Experience: 6+ years of professional experience where you have both developed and productionalized machine learning models.

You will be a key member of the Perception team at Rivian, which develops advanced machine learning algorithms that directly impact safety critical self‑driving features of our category defining vehicles. Deep understanding of foundation models, self‑supervised learning, and world models in robo

Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid. Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid. Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid.

We are seeking exceptional Machine Learning interns to join us in building a state‑of‑the‑art machine learning system. Built with AI from day one, Moloco’s planet‑scale machine learning platform powers a suite of solutions for advertising growth and monetization. Conducting experiments on