London, England, United Kingdom Hybrid / WFH Options
Data Science Festival
MachineLearningEngineer Salary: £65,000 – £80,000 Location: Central London – 1 day per week in the office We are currently recruiting a MachineLearningEngineer to join a global publishing company. Producing high-quality educational resources, they are publishing impactful research that has … Work with cross-functional teams to deliver production level ML/AI solutions. Implement MLOps with a focus on versioning and data security. Champion MachineLearning across the business. Mentor junior members of the team. Benefits £65,000 – £80,000 Profit share bonus Company doctor WFH allowance Skills More ❯
Nottingham, England, United Kingdom Hybrid / WFH Options
Digital Waffle
AI-powered automation tools —reimagining how complex, manual work gets done in the financial services world and beyond. They’re now looking for a MachineLearningEngineer to help design and build intelligent systems that make that future a reality. This is a full-time hybrid role … high-performing, ambitious team backed by leading investors Opportunity to shape intelligent products from the ground up This is a great opportunity for a machinelearningengineer or backend AI developer who wants to work on high-impact, production-ready AI tools at the edge of innovation. … Information and Media, and Information Services Referrals increase your chances of interviewing at Digital Waffle by 2x Sign in to set job alerts for “MachineLearningEngineer” roles. Waltham On The Wolds, England, United Kingdom 3 days ago Derby, England, United Kingdom 3 weeks ago Derby, England More ❯
Job Description: MachineLearningEngineer - RAG Experience - Founding Engineer We are seeking a MachineLearningEngineer to join a well-funded Start-Up developing an innovative tool and knowledge management solution aimed at saving consultancies significant time. You will work with a small … world-class team and play a crucial role using your Python and MachineLearning skills, with ideally some exposure to Retrieval Augmented Generation (RAG) . This is a critical hire that requires close collaboration with the founders. Experience in building products from inception will be highly advantageous. We More ❯
Job Title: MachineLearningEngineer - RAG Experience - Founding Engineer, London Client: Oho Group Ltd Location: London, United Kingdom Job Category: Other EU work permit required: Yes Job Details Job Views: 3 Posted: 08.05.2025 Expiry Date: 22.06.2025 Job Description MachineLearningEngineer needed for … time. You will work within a small, world-class team in an early-stage Start-Up environment, playing a critical role leveraging your Python, MachineLearning skills, and preferably, experience with Retrieval Augmented Generation (RAG) . This is a vital hire requiring close collaboration with the founders. Experience More ❯
MachineLearningEngineer, Amazon General Intelligence (AGI) Job ID: Services LLC The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive MachineLearningEngineer(MLE) to play pivotal role in the development of industry-leading multi-modal and multi-lingual … other team members to investigate design approaches, prototype new technology and evaluate technical feasibility. Work closely with Applied scientists to process massive data, scale machinelearning models while optimizing. Proven track record of optimizing GPU workloads at the kernel level. A day in the life As a SDE … quality software. About the team Join our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the More ❯
SENIOR MACHINELEARNINGENGINEER - MLOPS REMOTE (Travel to London once per month) Up to £80,000 COMPANY: We are working with a leading telecoms/mobile network who are looking for an MLOps Engineer that is passionate about tech and working within a fast paced environment. … ROLE: Design, build, and deploy scalable machinelearning models to solve complex business problems. Implement and maintain robust MLOps pipelines, ensuring efficient CI/CD processes for machine learning. Automate the deployment and monitoring of models in production to ensure continuous performance and stability. Collaborate closely with … data scientists, helping them move models from development to production seamlessly. Monitor and troubleshoot machinelearning models in production environments, ensuring uptime and accuracy. Develop best practices around model versioning, testing, and governance. Stay up-to-date with the latest developments in ML engineering, cloud services, and automation More ❯
SENIOR MACHINELEARNINGENGINEER - MLOPS REMOTE (Travel to London once per month) Up to £75,000 + £5,000 bonus + strong pension COMPANY: We are working with a leading telecoms/mobile network who are looking to change the game when it comes to the service … it provides its customers. They are looking for an MLOps Engineer that is passionate about tech and working within a fast paced environment. ROLE: Design, build, and deploy scalable machinelearning models to solve complex business problems. Implement and maintain robust MLOps pipelines, ensuring efficient CI/… CD processes for machine learning. Automate the deployment and monitoring of models in production to ensure continuous performance and stability. Collaborate closely with data scientists, helping them move models from development to production seamlessly. Monitor and troubleshoot machinelearning models in production environments, ensuring uptime and accuracy. More ❯
Senior MachineLearningEngineer - Tech for Good This company is making waves in it's industry. Born from a mission to drive real change, this company has already formed prestigious partnerships, and they're only getting started. This is an exciting opportunity to join a small, collaborative … team, working closely with technical leadership to help shape the product roadmap and develop impactful AI solutions. As the Senior MachineLearningEngineer, you'll be responsible for scoping, designing, and developing machinelearning systems, implementing suitable ML algorithms, and staying current with emerging trends More ❯
Better Placed Ltd - A Sunday Times Top 10 Employer!
Senior MachineLearningEngineer Remote (UK only) Up to £120,000 + equity **ideally you'll possess a degree in Computer Science/Mathematics (or similar) from a top university and/or have worked for an AI native or AI focussed business. Better Placed Tech has … institutions on the globe. They’re working on cutting edge technologies that are revolutionizing the AI landscape. Now is the time for another ML Engineer to come on board and be a key part of the UK team. This role is fully remote, but it would be good if … you are open to travelling to Silicon Valley 1-2 times per year for collaboration. The Job You’ll be a talented, motivated ML Engineer with either a top Uni degree in Maths/CS and 2-5 years’ experience in a native AI start up. As a key More ❯
Senior MachineLearningEngineer 📌 Industry: Insurtech 🏢 Company size: Approximately 200 employees 🌍 Working environment: Hybrid (2 days a week in Central London) 💷 Salary: Up to £110K based on experience + bonus Are you passionate about building innovative technology solutions using cutting-edge AI? Do you want to play … a critical role in shaping products that can make a meaningful impact on people's lives? We're looking for an experienced Senior MachineLearningEngineer to join an exciting team that's reshaping their industry. This unique opportunity is focused specifically on AI Engineering, rather than … traditional ML engineering, with a strong emphasis on LLM Ops. What you'll do: Develop and refine advanced machinelearning models to solve complex challenges. Leverage your NLP expertise to build intelligent solutions, including working with Large Language Models (LLMs). Design and deploy scalable, production-ready AI More ❯
Senior MachineLearningEngineer 📌 Industry: Insurtech 🏢 Company size: Approximately 200 employees 🌍 Working environment: Hybrid (2 days a week in Central London) 💷 Salary: Up to £110K based on experience + bonus Are you passionate about building innovative technology solutions using cutting-edge AI? Do you want to play … a critical role in shaping products that can make a meaningful impact on people's lives? We're looking for an experienced Senior MachineLearningEngineer to join an exciting team that's reshaping their industry. This unique opportunity is focused specifically on AI Engineering, rather than … traditional ML engineering, with a strong emphasis on LLM Ops. What you'll do: Develop and refine advanced machinelearning models to solve complex challenges. Leverage your NLP expertise to build intelligent solutions, including working with Large Language Models (LLMs). Design and deploy scalable, production-ready AI More ❯
Job Type: Full-Time Salary: £40,000 to£45,000 per annum (or pro-rata) + pension scheme and bonus Job Description: As a MachineLearningengineer at Seebyte, you can expect to play a key role in exciting and varied projects involving uncrewed systems, working as … implementing new areas of technology and shaping SeeByte's technology roadmap. Experience And Qualifications: Graduated with a degree level or higher qualification which includes MachineLearning and Artificial Intelligence (deep neural networks).Have experience with modern MachineLearning techniques and libraries such as TensorFlow, pyTorch, scikit … technical skills in one or more of the following areas: deep neural networks, pattern recognition or computer vision.Knowledge and experience of data mining/machinelearning/deep learning algorithms.Management and processing of Big Data. Application Process: Apply via link below. More ❯
Senior Software Engineer, MachineLearning, Model Optimization corporate_fare Google place London, UK Apply Minimum Qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with software development in C++, Python or Java programming languages, and with data structures/algorithms. 3 years of experience … with machinelearning algorithms and tools. 2 years of experience in building production quality ML systems. Preferred Qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience with modern ML frameworks (e.g., JAX, Pytorch or TensorFlow). Experience with launching applied MachineLearning/Natural Language Processing (ML/NLP) projects. About the Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well More ❯
London, England, United Kingdom Hybrid / WFH Options
DELIVEROO
Get started with your online application Not quite your dream role? Sign up to get notified when the right vacancy comes along. Senior MachineLearningEngineer The Data + Science Team At Deliveroo we have a world-class data & science organisation, with a mission to enable the … highest quality human and machine decision-making. We have over 200 MachineLearning Engineers, Data Scientists, Data Analysts, and Analytics Engineers working throughout the company in product, business and platform teams. We have a strong, active data science community, with guest lecturers; a robust technical review process … our marketplace (consumer, delivery, restaurants, grocery, and retail). Our interview process is team-agnostic. As an MLE, you will develop the algorithmic and machine-learning systems that power Deliveroo. You will work in a cross-functional team alongside engineers, data scientists and product managers to develop systems More ❯
positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation. Experienced Deep LearningEngineer for Game Technology We are looking for an experienced machinelearningengineer with a solid understanding of low-level … solve problems, we would love to hear from you. This role could suit an experienced embedded/games industry programmer with a passion for MachineLearning, or an accomplished MachineLearning/Vision programmer with a good understanding of computer architecture and performance. The Team The … PS5 games are built with. You will be part of a small creative team of ATG programmers tackling problems centred around computer vision and machine learning. Examples of some projects include the runtime tracking of PlayStation VR2 Sense controllers and a novel facial performance capture system used to produce More ❯
London, England, United Kingdom Hybrid / WFH Options
Zego
Senior MachineLearningEngineer, Pricing At Zego, we know that traditional motor insurance holds good drivers back. It’s too complicated, too expensive, and it doesn't take into account how well you actually drive. That’s why, since 2016, we’ve been on a mission to … raised over $200 million in funding. And we’re only just getting started. Who we're looking for We are looking for a Senior MachineLearningEngineer to play a key role in our Core Pricing team. You will drive innovation by optimising and automating Pricing processes … hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical Methodology: You have worked with GLMs and other machinelearning algorithms and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you More ❯
London, England, United Kingdom Hybrid / WFH Options
Anthropic
Research Engineer, MachineLearning (Horizons) London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We aim for AI to be safe and beneficial for users and society. Our team is a growing group of 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 researchers and engineers to advance the capabilities and safety of large language models through fundamental research in reinforcement learning, enhancing reasoning abilities … in areas like 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 complex, open More ❯
Data Analytics and MachineLearningEngineer LOCATION: NI/Hybrid About StormHarvester: Our software solutions solve problems for water utilities. We use data, analytics, and machinelearning to deliver insights to water networks and assets through SAAS and cloud-based services. We are expanding our … and SLAs Current use of live predictive models to alert and raise alarms for sites and customers 3+ years of experience involving data analytics, machinelearning models and AI principles and application in implementation and practical delivery. Experienced in Python development and tooling including Pandas, Scikit-learn or … Science, Software Engineering, Data Science or other related discipline. Experience with data exploration and visualisation. A theoretical and practical foundation of core analytics and machinelearning principles and experience working with large scale data. Strong presentation and communication skills. Willingness to engage and work with others as part More ❯
Research Engineer, MachineLearning (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 More ❯
We’re looking for a MachineLearningEngineer to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer. Are you ready to be the next changemaker in cancer care? Flatiron Health is a healthtech company … and more. Flatiron Health is an independent affiliate of the Roche Group. What You'll Do At Flatiron, we’re advancing the use of machinelearning, generative AI, and natural language processing to extract clinically relevant information from unstructured medical notes for use in oncology research. The Data … of our team, you will develop and validate models to solve applied clinical problems and help build towards our vision of the future of machinelearning at Flatiron. Engaging with a cross-functional group of stakeholders across our teams in Europe, Japan, and the US you will contribute More ❯
London, England, United Kingdom Hybrid / WFH Options
Ramboll Group A/S
Lead MachineLearningEngineer – LLMs - Ramboll Tech At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As a Lead MachineLearningEngineer, you will create cutting-edge AI solutions that empower our business, mentor others … some of the following: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Minimum 5 years of experience in machinelearning projects. At least 2 years in a senior or lead role. Expertise in integrating modern LLMs into production systems. Additional skills include … cloud deployment (preferably Azure), and familiarity with databases and data platforms. OUR VALUES: CURIOSITY, OPTIMISM, AMBITION, EMPATHY We foster a team culture of continuous learning, diversity, and openness. Our hybrid work approach emphasizes flexibility and regular in-person interactions. WHO IS RAMBOLL Ramboll is a global firm committed to More ❯
Lead MachineLearningEngineer - LLMs - Ramboll Tech At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As a Lead MachineLearningEngineer, you will create cutting-edge AI solutions, mentor others, and foster a culture … some of the following qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. Minimum 5 years of experience in machinelearning projects. At least 2 years in a senior or lead role. Proven expertise with modern LLMs in production. Leadership skills: Proven leadership … committed to diversity, inclusion, and a positive culture, focusing on solutions, growth, and mutual support. TEAM CULTURE We prioritize daily idea exchange, support, continuous learning, and diversity. Our hybrid work approach offers flexibility, with regular in-person meetings. ABOUT RAMBOLL Ramboll is a global architecture, engineering, and consultancy firm More ❯
London, England, United Kingdom Hybrid / WFH Options
Tripledot Studios
This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. Senior MachineLearningEngineer Department: Data Science & Intelligence Employment Type: Permanent - Full Time Location: London, UK Description Who we are Tripledot Studios is on track to become … to become the most successful games company in the world, and we're just getting started. About the Role Role Overview As a Senior MachineLearningEngineer , you'll significantly advance our machinelearning, directly impacting high-profile mobile games. You'll research, prototype, develop … AWS/Google Cloud) for scalable model deployment. Ability to work independently and manage end-to-end ML projects. Experience with recommendation systems, reinforcement learning, or multi-armed bandits highly desirable. Comfortable collaborating to translate business needs into technical solutions. Strong problem-solving skills with a proactive and curious More ❯
An exceptional opportunity for a MachineLearningEngineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation … RAG), and reasoning frameworks to build intelligent and context-aware systems. We are seeking talented MachineLearning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search … for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi More ❯
An exceptional opportunity for a MachineLearningEngineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation … RAG), and reasoning frameworks to build intelligent and context-aware systems. We are seeking talented MachineLearning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search … for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi More ❯