76 to 100 of 155 Machine Learning Engineer Jobs in England

Machine Learning Engineer A long way has come since Sci-Fi films like Terminator and iRobot got us thinking about robots taking over the world. But in the 2020s, hearing AI and machines in the same sentence means a world of innovation. This is a chance to … be part of a brand new Machine Learning team within one of Europe's fastest-growing AI start-ups. They're on a mission to develop innovative, cutting-edge AI products, pushing the boundaries of technology to deliver scalable solutions. The team is based across offices in Barcelona … tools for model training and evaluation. Collaborate with Data Scientists and Engineers to deploy solutions. Drive improvements in MLOps processes. Qualifications: Experience as a Machine Learning Engineer or Data Scientist. Solid Python coding skills. Expertise with cloud infrastructure (preferably AWS). Familiarity with Containers and MLE tools More ❯

large banks and tech firms, they are set to move to series A round in H1 2025. This is an exciting opportunity for a Machine Learning Engineer who enjoys both conceptual innovation and meticulous optimisation. What you'll do: Create a wide range of synthetic datasets Train … additional data-focused research initiatives aimed at improving data quality Instruction tuning, preference alignment, and model optimisation What you bring: 3+ years of practical Machine Learning experience Ability to lead and execute ambitious machine learning projects from start to finish Well-versed in Machine Learning, Deep Learning, and Large Language Models Proficiency in related tooling (e.g., PyTorch) Prior exposure to synthetic data is a plus Strong skills in Python Experience in setting up GPU-based training environments (e.g., Lambda, Runpod, Sagemaker) Company: Robert Walters Robert Walters Operations Limited is an employment business and More ❯

SENIOR MACHINE LEARNING ENGINEER - 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 machine learning 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 machine learning 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 Machine Learning Engineer 📌 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 Machine Learning Engineer 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 machine learning 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 Machine Learning Engineer 📌 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 Machine Learning Engineer 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 machine learning 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 Specification: Machine Learning Engineer (NLP) (Pytorch) Location: Bristol, UK (Hybrid - 2 days per week in the office) About the Role I'm looking for an NLP Engineer to join a forward-thinking company that specialises in advanced risk analytics and machine learning. This is … apply them to improve existing models. Build and maintain scalable data pipelines for processing both structured and unstructured data efficiently. Evaluate and fine-tune machine learning models to ensure optimal performance. Ensure models and data pipelines adhere to best practices for security, robustness, and compliance. Document processes and … Need A degree in Computer Science, Engineering, Statistics, or a related field (Master's or Ph.D. preferred but not essential). Strong understanding of machine learning algorithms and NLP techniques, with hands-on experience in either academia or industry. Proficiency in Python and experience with ML/NLP More ❯

Senior Software Engineer, Machine Learning, 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 machine learning 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 Machine Learning/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 ❯

Job Title: Machine Learning Engineer Department: Text-to-Speech (TTS) Location: Manchester, UK About the Role: As a Machine Learning Engineer, you'll help deploy and optimise LLM-based Text-to-Speech models that enable advanced voice cloning and natural-sounding speech synthesis. You … team that values your input and growth. With the support, resources, and tools you need, you’ll continuously evolve as a professional in the Machine Learning space, tackling new problems in the sector and advancing your career. More ❯

An exceptional opportunity for a Machine Learning Engineer (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 Machine Learning 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 ❯

Machine Learning Engineer, Generative AI Innovation Center Job ID: Amazon Web Services Japan GK Amazon launched the Generative AI (GenAI) Innovation Center (GenAIIC) in Jun 2023 to help AWS customers accelerate enterprise innovation and success with Generative AI. Customers such as Highspot, Lonely Planet, Ryanair, and Twilio … in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As a Machine Learning Engineer in GenAIIC, you are proficient in developing and deploying advanced ML models and pipelines to solve diverse customer problems using … have a firsthand impact on our global customer base. You'll bring a passion for the intersection of software development with generative AI and machine learning. You'll also: Solve complex technical problems, often ones not solved before, at every layer of the stack. Design, implement, test, deploy and More ❯

and execute on the future path for our products. Key Responsibilities: Work closely with senior engineers and data scientists to quickly learn and apply machine learning techniques to real-world problems, shipping results fast, all whilst meeting launch deadlines. Take ownership of end-to-end ML model development … from data preprocessing and feature engineering to training, testing, and deployment. Collaborate across teams to implement machine learning solutions into production systems, ensuring that models are scalable, reliable, and effective. Actively contribute to refining and improving existing models and systems. If something can be optimized, you're on … go. Requirements: A degree in Computer Science, Data Science, or a related field (or equivalent practical experience). 2-3 years of experience in machine learning, with a strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Hands-on experience with data preprocessing More ❯

Research Engineer: Graph Machine Learning Atman Labs, London About Atman Labs At Atman Labs we are building software to emulate proactive human expertise. Emulating human experts with deep knowledge and proactive assistance has largely been impossible to do via standalone Artificial Intelligence techniques. As an applied research … shopping assistance, to personal teachers to healthcare concierges - and with this commercial focus advance our unique research that lies at the intersection of Reinforcement Learning rewards, Large Scale Knowledge Representation, and Predictive Models inspired by biological priors. The Next Frontier of Machine Reasoning: Web-scale Knowledge Graph Exploration … using Reinforcement Learning Human experts can form and explore structured mental models in their heads to solve open-ended problems across different domains. Our research seeks to emulate this process through a novel combination of using reinforcement learning agents to perform exploration through a knowledge graph. Knowledge graphs More ❯

Product and Tech • Flexible remote • UK - LONDON We are looking for a Machine Learning Engineer with strong data science roots and real-world deployment experience to help shape, optimise and scale our ML stack as we continue to grow. YuLife is an award-winning InsurTech company and … 8th Fastest Growing Technology Company in the UK in the prestigious 2023 Deloitte Technology Fast 50. The role: We're looking for an experienced Machine Learning Engineer to join our growing data science team. This is a hands-on role for someone who has grown from a … data science background and has transitioned into machine learning engineering. You'll be working alongside our Lead Data Scientist and the wider data team to evolve and scale our ML infrastructure. You'll play a key role in building, deploying and optimising both real-time and batch ML More ❯

and you'll keep millions of users listening by making great recommendations to each and every one of them. We are looking for a Machine Learning Engineer II to join our product area of hardworking engineers that are passionate about connecting new and emerging creators with users … of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization. Be part of an active group of machine learning practitioners in Europe (and across Spotify) collaborating with one another. Together with a wide range of collaborators, help develop a creator-first … vision and strategy that keeps Spotify at the forefront of innovation in the field. Who You Are You have a strong background in machine learning, enjoy applying theory to develop real-world applications, with experience and expertise in bandit algorithms, LLMs, general neural networks, and/or other More ❯

Machine Learning Engineer | Cybersecurity Startup (Open Source, AI) We’re hiring a Machine Learning Engineer to join an early-stage cybersecurity startup that's building the next-gen security assistant - open-source at its core, focused on automating repetitive workflows and making life easier More ❯

Machine Learning Engineer | Cybersecurity Startup (Open Source, AI) We’re hiring a Machine Learning Engineer to join an early-stage cybersecurity startup that's building the next-gen security assistant - open-source at its core, focused on automating repetitive workflows and making life easier More ❯

Machine Learning Engineer Paris, France CDI, Permanent position Hybrid working 5V Tech is working with an innovative and rapidly expanding scale-up operating at the intersection of healthcare and AI. They're now looking for a Machine Learning Engineer to join their team in … clear and structured technical documentation for both internal and external use. Key skills required: Solid background in Python, Linux, and Git. Experience in deep learning (TensorFlow, Keras, PyTorch) and statistical validation of medical devices. Fluent in English and French. If this sounds like the kind of opportunity you've More ❯

Machine Learning Engineer – AI x Cybersecurity x Product Impact 📍 London | 🏢 4 Days In-Office | 💼 Full-Time | 💷 £70K–£90K A VC-backed cybersecurity startup in London is building cutting-edge AI products that actually ship. They’re looking for a Machine Learning Engineer to turn … quickly, iterate often, no red tape Team of veterans - work with engineers who’ve built widely-used security products Growth-focused - R&D time, learning budgets, and community involvement encouraged If you’re UK-based, love building production ML systems, and want your work to matter, this is your More ❯

Contract Opportunity: Senior AWS Machine Learning Data Engineer Location: London | Duration: 6 Months (Extension Possible) | Start Date: ASAP Rate: Up to £600 a day (Inisde IR35) Are you a cloud-native data engineer with a passion for building intelligent systems? I'm looking for a Senior … AWS Machine Learning Data Engineer to a cutting-edge team on a contract basis, working on high-impact ML solutions that scale. About the Role: In this role, you'll lead the design and implementation of data pipelines and ML infrastructure on AWS. You'll collaborate with … personalization. ? What You'll Do: Architect and build scalable, secure, and maintainable data pipelines on AWS (Glue, Lambda, Step Functions, S3, Redshift, etc.) Operationalize machine learning models in production environments using SageMaker or custom deployment frameworks Automate and optimize ETL/ELT processes for structured and unstructured data More ❯

team environment. What You'll Do: Drive the full lifecycle of ML solutions for CoCaM services, including research, design, development, evaluation, and deployment. Manage Machine Learning projects ranging from Supervised Learning, to Reinforcement Learning, to LLMs. Optimize and monitor deployed ML model performance, implementing improvements based … ML applications. Work closely with engineering teams to integrate ML models into existing systems and workflows. Be an active participant of a group of machine learning engineers, staying updated with the latest advancements, participating in code reviews, and contributing to knowledge sharing across the team. Who You Are … 2+ years of hands-on experience in developing and deploying machine learning models in a production environment. Practical experience in implementing ML systems using languages like Python or Scala and are familiar with relevant ML libraries and frameworks (e.g., TensorFlow or PyTorch). Solid understanding of various machine More ❯

team environment. What You'll Do Drive the full lifecycle of ML solutions for CoCaM services, including research, design, development, evaluation, and deployment. Manage Machine Learning projects ranging from Supervised Learning, to Reinforcement Learning, to LLMs. Optimize and monitor deployed ML model performance, implementing improvements based … ML applications. Work closely with engineering teams to integrate ML models into existing systems and workflows. Be an active participant of a group of machine learning engineers, staying updated with the latest advancements, participating in code reviews, and contributing to knowledge sharing across the team. Who You Are … 2+ years of hands-on experience in developing and deploying machine learning models in a production environment. Practical experience in implementing ML systems using languages like Python or Scala and are familiar with relevant ML libraries and frameworks (e.g., TensorFlow or PyTorch). Solid understanding of various machine More ❯

Lead ML Engineer London - Hybrid (1 day per week in office) £80,000 - £100,000 DOE + Bonus (up to 15%) + Excellent Pension + Car Scheme + Technology Benefits + EAP Programme + Flexible working This is an incredible opportunity for a Lead ML Engineer to join … Data Science team, you will be at the forefront of cutting-edge projects, helping to shape the future of data-driven decision-making and machine learning infrastructure. In this role, you will lead machine learning projects from concept to production, develop platform tools, and collaborate with … Python and associated libraries (Pandas, scikit-learn etc.), have strong Azure DevOps exposure (Terraform, Docker, Kubernetes) and high proficiency in SQL. The Role: Lead machine learning projects from concept to production. Develop platform tools and collaborate with data scientists to build data pipelines. Mentor junior team members and More ❯

As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Working closely with the Software development and Research teams, you will play a critical role in finding … advancing the next generation of AI models on cutting-edge hardware, we'd love to hear from you! Responsibilities and Duties Implement the latest machine learning models and optimise them for performance and accuracy, scaling to 1000s of accelerators. Test and evaluate new internal software releases, provide feedback … and keep in touch with the latest developments in AI. Candidate Profile Essential skills: Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python software development More ❯

Senior Machine Learning Engineer Salary: £65,000-£100,000 Location: London - 5 days a week in office, can then become hybrid post probation Join a dynamic team of Machine Learning Engineers working on high-impact, machine learning models in the 3D graphics and … technical stakeholders Driving the latest innovative research in Engineering, deploying core projects onto their AWS platform Opportunity to upskill and mentor junior members, whilst learning from a high calibre team SKILLS AND EXPERIENCE Required MSc or PhD in STEM related subject + experience in ML Engineering Proficiency in Python More ❯

Job Title : Machine Learning Operations Lead- Investment Banking Location: Remote (London City- UK based) Very flexible working arrangements Salary: £120-£150k base, 20% bonus, 13% pension + benefits Industry : Investment Banking/Finance Technology We are partnering with a prestigious investment bank to find a highly skilled and … Hands-on Machine Learning Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for the front and Middle Office user base. The role is to define and set up a greenfield … practices to educate data scientists and equip them with the right tools and expertise. You MUST be hands on. A strong understanding of Devops, Machine learning and Data engineering is required to enable to right candidate to implement the MLOps processes. This team are a specialist team and More ❯