476 to 500 of 863 Permanent Machine Learning Engineer Jobs

Social network you want to login/join with: AI/ML Engineer - Contract | 3 Days a Week | Outside IR35 | £450 per Day | 6 Month Contract REMOTE - MUST BE BASED IN THE UK Looking to make an impact with AI-driven health tech ? We're hiring a Machine Learning Engineer for a part-time (3 days … . If you're passionate about using AI to drive meaningful change, this could be for you. The Role: Building AI that understands and predicts user health patterns. Developing machine learning models for personalised interventions. Implementing NLP and deep learning techniques where applicable. Designing and implementing end-to-end MLOps pipelines to streamline model deployment and monitoring. More ❯

Machine Learning Engineer AI Startup £65k to £70k Remote (UK-Based) ? Remote-first (UK) ? £65,000 to £70,000 ? July 2025 start (flexible) We're partnered with a fast-growing early-stage startup that's reimagining how people interact with real-world spaces like museums, aquariums, and heritage sites using AI, computer vision, and generative technologies. They … ve nailed successful pilots with big names in the cultural space and recently closed their pre-seed round. Now they're looking for a Machine Learning Engineer to take ownership of their AI stack and help shape the next phase of their growth. What You'll Be Doing: Designing and deploying computer vision models to identify exhibits More ❯

Social network you want to login/join with: Senior Machine Learning Engineer - up to £130k base plus equity, London Client: Saragossa Location: London, United Kingdom Job Category: Other EU work permit required: Yes Job Views: 4 Posted: 08.05.2025 Expiry Date: 22.06.2025 Job Description: Do you want to leverage your AI/ML skillset in a rapidly More ❯

Machine Learning Engineer – Founding Team (Computer Vision/GenAI) Location: Remote-first (UK-based) | Salary: £50k–£70k + Equity A well-backed, early-stage startup is building a cutting-edge AI platform that transforms real-world visitor experiences at physical venues — from cultural institutions to entertainment destinations. Following successful pilots with major partners and recent pre-seed … investment, we’re scaling up and looking for a Machine Learning Engineer to lead the development of our core AI systems. What You’ll Work On: 🔹 Computer Vision: Enable the system to recognise what users are viewing in real time using image embeddings, similarity search (e.g. CLIP, vector search), and traditional CV approaches (e.g. YOLO, MobileNet). More ❯

Machine Learning Engineer – Founding Team (Computer Vision/GenAI) Location: Remote-first (UK-based) | Salary: £50k–£70k + Equity A well-backed, early-stage startup is building a cutting-edge AI platform that transforms real-world visitor experiences at physical venues — from cultural institutions to entertainment destinations. Following successful pilots with major partners and recent pre-seed … investment, we’re scaling up and looking for a Machine Learning Engineer to lead the development of our core AI systems. What You’ll Work On: 🔹 Computer Vision: Enable the system to recognise what users are viewing in real time using image embeddings, similarity search (e.g. CLIP, vector search), and traditional CV approaches (e.g. YOLO, MobileNet). More ❯

Founding Machine Learning Engineer - AI Start-Up (On-Site | Equity + Salary) A rare opportunity to join one of London’s most exciting AI start-ups at the ground level! Backed by top-tier investors and led by a world-class founding team from Oxford, Cambridge, and Imperial , this company is pushing the boundaries of applied AI. … They’re now looking for a Founding Machine Learning Engineer to join the core technical team and lead the development of their ML systems from the ground up. 🤖 About the Company: Founded by experienced operators with multiple AI start-up successes under their belts, this venture is already attracting serious attention. With strong financial backing and a … world problems. This is not just another AI start-up - it’s a company where cutting-edge research meets practical, scalable product development. 🧠 The Role: As a founding ML engineer, you’ll be deeply involved in shaping the entire ML pipeline - from research and prototyping to model deployment and optimisation. You’ll work closely with product and engineering to More ❯

Founding Machine Learning Engineer - AI Start-Up (On-Site | Equity + Salary) A rare opportunity to join one of London’s most exciting AI start-ups at the ground level! Backed by top-tier investors and led by a world-class founding team from Oxford, Cambridge, and Imperial , this company is pushing the boundaries of applied AI. … They’re now looking for a Founding Machine Learning Engineer to join the core technical team and lead the development of their ML systems from the ground up. 🤖 About the Company: Founded by experienced operators with multiple AI start-up successes under their belts, this venture is already attracting serious attention. With strong financial backing and a … world problems. This is not just another AI start-up - it’s a company where cutting-edge research meets practical, scalable product development. 🧠 The Role: As a founding ML engineer, you’ll be deeply involved in shaping the entire ML pipeline - from research and prototyping to model deployment and optimisation. You’ll work closely with product and engineering to More ❯

Machine Learning Engineer – Founding Team (Computer Vision/GenAI) Location: Remote-first (UK-based) | Salary: £50k–£70k + Equity A well-backed, early-stage startup is building a cutting-edge AI platform that transforms real-world visitor experiences at physical venues — from cultural institutions to entertainment destinations. Following successful pilots with major partners and recent pre-seed … investment, we’re scaling up and looking for a Machine Learning Engineer to lead the development of our core AI systems. What You’ll Work On: Computer Vision: Enable the system to recognise what users are viewing in real time using image embeddings, similarity search (e.g. CLIP, vector search), and traditional CV approaches (e.g. YOLO, MobileNet). More ❯

Machine Learning Engineer – Founding Team (Computer Vision/GenAI) Location: Remote-first (UK-based) | Salary: £50k–£70k + Equity A well-backed, early-stage startup is building a cutting-edge AI platform that transforms real-world visitor experiences at physical venues — from cultural institutions to entertainment destinations. Following successful pilots with major partners and recent pre-seed … investment, we’re scaling up and looking for a Machine Learning Engineer to lead the development of our core AI systems. What You’ll Work On: 🔹 Computer Vision: Enable the system to recognise what users are viewing in real time using image embeddings, similarity search (e.g. CLIP, vector search), and traditional CV approaches (e.g. YOLO, MobileNet). More ❯

Machine Learning Engineer – Founding Team (Computer Vision/GenAI) Location: Remote-first (UK-based) | Salary: £50k–£70k + Equity A well-backed, early-stage startup is building a cutting-edge AI platform that transforms real-world visitor experiences at physical venues — from cultural institutions to entertainment destinations. Following successful pilots with major partners and recent pre-seed … investment, we’re scaling up and looking for a Machine Learning Engineer to lead the development of our core AI systems. What You’ll Work On: 🔹 Computer Vision: Enable the system to recognise what users are viewing in real time using image embeddings, similarity search (e.g. CLIP, vector search), and traditional CV approaches (e.g. YOLO, MobileNet). More ❯

Founding Machine Learning Engineer - AI Start-Up (On-Site | Equity + Salary) A rare opportunity to join one of London’s most exciting AI start-ups at the ground level! Backed by top-tier investors and led by a world-class founding team from Oxford, Cambridge, and Imperial , this company is pushing the boundaries of applied AI. … They’re now looking for a Founding Machine Learning Engineer to join the core technical team and lead the development of their ML systems from the ground up. 🤖 About the Company: Founded by experienced operators with multiple AI start-up successes under their belts, this venture is already attracting serious attention. With strong financial backing and a … world problems. This is not just another AI start-up - it’s a company where cutting-edge research meets practical, scalable product development. 🧠 The Role: As a founding ML engineer, you’ll be deeply involved in shaping the entire ML pipeline - from research and prototyping to model deployment and optimisation. You’ll work closely with product and engineering to More ❯

Machine Learning Engineer – Founding Team (Computer Vision/GenAI) Location: Remote-first (UK-based) | Salary: £50k–£70k + Equity A well-backed, early-stage startup is building a cutting-edge AI platform that transforms real-world visitor experiences at physical venues — from cultural institutions to entertainment destinations. Following successful pilots with major partners and recent pre-seed … investment, we’re scaling up and looking for a Machine Learning Engineer to lead the development of our core AI systems. What You’ll Work On: 🔹 Computer Vision: Enable the system to recognise what users are viewing in real time using image embeddings, similarity search (e.g. CLIP, vector search), and traditional CV approaches (e.g. YOLO, MobileNet). More ❯

Machine Learning Engineer | AI Startup | £65k to £70k | Remote (UK-Based) ? Remote-first (UK) ? £65,000 to £70,000 ? July 2025 start (flexible) We’re partnered with a fast-growing early-stage startup that’s reimagining how people interact with real-world spaces like museums, aquariums, and heritage sites using AI, computer vision, and generative technologies. They … ve nailed successful pilots with big names in the cultural space and recently closed their pre-seed round. Now they’re looking for a Machine Learning Engineer to take ownership of their AI stack and help shape the next phase of their growth. What You’ll Be Doing: Designing and deploying computer vision models to identify exhibits More ❯

Founding Machine Learning Engineer - AI Start-Up (On-Site | Equity + Salary) A rare opportunity to join one of London’s most exciting AI start-ups at the ground level! Backed by top-tier investors and led by a world-class founding team from Oxford, Cambridge, and Imperial , this company is pushing the boundaries of applied AI. … They’re now looking for a Founding Machine Learning Engineer to join the core technical team and lead the development of their ML systems from the ground up. 🤖 About the Company: Founded by experienced operators with multiple AI start-up successes under their belts, this venture is already attracting serious attention. With strong financial backing and a … world problems. This is not just another AI start-up - it’s a company where cutting-edge research meets practical, scalable product development. 🧠 The Role: As a founding ML engineer, you’ll be deeply involved in shaping the entire ML pipeline - from research and prototyping to model deployment and optimisation. You’ll work closely with product and engineering to More ❯

Founding Machine Learning Engineer - AI Start-Up (On-Site | Equity + Salary) A rare opportunity to join one of London’s most exciting AI start-ups at the ground level! Backed by top-tier investors and led by a world-class founding team from Oxford, Cambridge, and Imperial , this company is pushing the boundaries of applied AI. … They’re now looking for a Founding Machine Learning Engineer to join the core technical team and lead the development of their ML systems from the ground up. 🤖 About the Company: Founded by experienced operators with multiple AI start-up successes under their belts, this venture is already attracting serious attention. With strong financial backing and a … world problems. This is not just another AI start-up - it’s a company where cutting-edge research meets practical, scalable product development. 🧠 The Role: As a founding ML engineer, you’ll be deeply involved in shaping the entire ML pipeline - from research and prototyping to model deployment and optimisation. You’ll work closely with product and engineering to More ❯

Machine Learning Engineer Consumer Electronics R&D Hybrid (Staines-upon-Thames, Surrey) Permanent Up to £95k per year Are you passionate about AI innovation and eager to apply your expertise in real-world embedded environments? I'm looking for an Engineer to join a world-renowned R&D team driving the next generation of on-device … and home entertainment space. You’ll contribute to cutting-edge AI development, with a focus on enhancing audio performance in embedded systems. Your responsibilities will include: Designing & optimising deep learning models for NPU/CPU deployment. Innovating ML architectures and training approaches for sound quality. Collaborating with expert engineers in a fast-paced, collaborative environment. What We’re Looking More ❯

AI Engineer (Machine Learning LLM Python) Newcastle to £200k Are you an AI Engineer 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 joining a FinTech start-up, the company has secure backing and an established Hedge Fund … client as a partner. As an AI Engineer you will join a new team responsible for evaluating and introducing AI and LLM Machine Learning functionality into the company's proprietary trading systems. There's lots of Greenfield development projects to get stuck into and you'll have an impactful role in improving systems and processes, collaborating with … a hugely talented team, with continual learning and self development opportunities. Location: You'll join colleagues in brand new Central Newcastle offices on a full-time basis (Monday to Friday), working hours 0900-1800 with some flexibility. The offices are well equipped and offer fantastic views across the City and the local countryside, many employees walk or cycle in More ❯

Machine Learning Engineer Consumer Electronics R&D Hybrid (Staines-upon-Thames, Surrey) Permanent Up to £95k per year Are you passionate about AI innovation and eager to apply your expertise in real-world embedded environments? I'm looking for an Engineer to join a world-renowned R&D team driving the next generation of on-device … and home entertainment space. You’ll contribute to cutting-edge AI development, with a focus on enhancing audio performance in embedded systems. Your responsibilities will include: Designing & optimising deep learning models for NPU/CPU deployment. Innovating ML architectures and training approaches for sound quality. Collaborating with expert engineers in a fast-paced, collaborative environment. What We’re Looking More ❯

They are a fast-growing, mission-driven deep-tech company building advanced forecasting solutions that help drive sustainability efforts and optimize resource use. We're looking for a Lead Machine Learning Engineer to play a pivotal role, working closely with the AI Co-Founder and leading a small but talented team of ML Engineers. This is your … edge AI. What you'll be doing: Shape the AI/ML strategy alongside the AI Co-Founder and leadership team. Lead, mentor, and develop a team of 3 Machine Learning Engineers, creating a collaborative and high-performance environment. Design and deliver production-grade machine learning solutions that solve complex business challenges (think forecasting, optimization, automation … cross-functionally with Product, Engineering, and Data teams to bring models into production and deliver measurable business impact. Explore and integrate modern AI approaches, from classical ML to deep learning techniques. Build and scale models Preferred Tech Stack: You will have input on shaping the company's tech stack. Some preferred tools and technologies include: Languages: Python for ML More ❯

to become largest disseminator of knowledge in the world. In fact, we're probably one of the largest already. Our platforms can be viewed here: www.beamazed.media We need a machine learning engineer to work in our growing, dynamic team. We are building internal products to help our team perform, execute and excel at their job. These tools … our content which help to inform and shape our future content pipeline. We are looking for an entrepreneurial mindset to optimise our company’s internal and external performance using machine learning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video data. You must be organised … for more than just a job. You should aspire to lead and own a media company one day as this position holds massive future potential for growth. As a machine learning engineer, your role will involve: Exploring and analysing our data to identify trends and predictive models that will optimise our video’s performance; Building Interactive Dashboards More ❯

to become largest disseminator of knowledge in the world. In fact, we're probably one of the largest already. Our platforms can be viewed here: www.beamazed.media We need a machine learning engineer to work in our growing, dynamic team. We are building internal products to help our team perform, execute and excel at their job. These tools … our content which help to inform and shape our future content pipeline. We are looking for an entrepreneurial mindset to optimise our company’s internal and external performance using machine learning capabilities and tooling. This will span from building tooling for our teams’ workflows to predictive analytics on our vast amounts of video data. You must be organised … for more than just a job. You should aspire to lead and own a media company one day as this position holds massive future potential for growth. As a machine learning engineer, your role will involve: Exploring and analysing our data to identify trends and predictive models that will optimise our video’s performance; Building Interactive Dashboards More ❯

Principal Machine Learning Engineer - Chat United Kingdom We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. If there’s anything we can do to accommodate your specific situation, please let us know. About Cleo Most people come to Cleo to do … Every day, we empower people to build a life beyond their next paycheck, building a beloved AI that enables you to forge your own path toward financial well-being. Machine Learning Engineers at Cleo work on building novel solutions to real-world problems. This really does vary but could be: creating chatbots to coach our users around their … financial health, creating classifiers to better understand transaction data or even optimising transactions within our payments platform. Ultimately, we’re looking for a brilliant Principal Machine Learning Engineer to join us on our mission to fight for the world's financial health. You’ll be leading technical work within a team of adaptable, creative and product-focused More ❯

Research Engineer, Machine Learning (Horizons) London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to … build beneficial AI systems. About the role: As a Research Engineer on the Reinforcement Learning Fundamentals team, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models through fundamental research in reinforcement learning, improving reasoning abilities in areas such as code generation and mathematics, and exploring … reinforcement learning for agentic/open-ended tasks. Representative projects: Develop and implement novel reinforcement learning techniques to improve the performance and safety of large language models. Create tools and environments for models to interact with, enabling them to perform complex, open-ended tasks. Design and run experiments to enhance models' reasoning capabilities, particularly in code generation and More ❯

Madrid, and Brussels. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey! Job Description Junior Machine Learning Engineer Location (Hybrid, 40% in office) £40,000 + Benefits Introducing Signalbox at Trainline Signalbox is a pioneering technology that uses location data and machine-learning algorithms to detect, track, and map trains in real time. By leveraging the location data in our smartphones, Signalbox can identify the train a device is on, and deliver personalised real-time information direct to travellers. Signalbox is a growing team that’s increasingly integrated across the organisation, driving the delivery of geolocation-enhanced tools and features … from ideation to production. We are looking for a Geospatial Machine Learning Engineer to join the Signalbox team within Trainline. This team is focused on building innovative train tracking and mapping tools that use machine learning to improve the rail passenger experience. In this role, you will collaborate with our research and development team, which More ❯

to our shared mission of making the most fun games for the world's players. Join the team! As we continue to grow, we are now looking for a Machine Learning Engineer to join our Data & Engineering team. As a Machine Learning Engineer, you will be responsible for developing and optimising machine learning … to uncover new insights. This is a permanent role based in our Leamington Spa studio, where our daily in-office collaboration fuels creativity and innovation. Responsibilities: Develop and improve machine learning models by researching, experimenting, and testing new techniques. Extract and process data from various sources to enhance predictive accuracy. Work with data scientists, marketing, and game development … and implement experiments to understand player behaviour and market trends. Collaborate with software engineers to deploy models in scalable products. Requirements: A few years of industry experience deploying production machine learning models. Strong background in training and deploying ML models in real-world applications. Experience in marketing-related domains or similar data-driven industries. Proficiency in cloud-based More ❯