226 to 250 of 3,679 Machine Learning Jobs in England

your strengths and interests, you'll have the opportunity to move between them. Job Responsibilities: Advise and lead development of tooling for AI/ML development and deployment. Lead deployment and maintenance of infrastructure, model monitoring and observability tools, providing an effective model development platform for data scientists and ML … engineers. Collaborate with machine learning model developers to bring ML models to production. Mentor and lead a team of engineers focused on deploying machine learning pipelines at scale. Partner with product, architecture, and other engineering teams to define scalable and performant technical solutions. Influence across business … concepts and MLOps applied experience. Experience with machine learning engineering and operations in a large enterprise. Experience in building, evaluating and deploying ML models into production. Experience leading complex projects supporting system design, testing and operational stability. Demonstrated prior experience influencing across complex organizations and delivering value at More ❯

systems and data pipelines Conducting experiments and evaluating model performance to ensure high-quality results Staying current with the latest developments in AI and machine learning technologies Influencing the technical direction of AI within G-Research Working with the latest Large Language Models (LLMs), utilising both commercial APIs … experience: A degree in Computer Science, Artificial Intelligence, or a related field, or equivalent professional experience Strong programming skills in Python, with experience in machine learning frameworks such as PyTorch, TensorFlow or JAX Hands-on experience fine-tuning LLMs and optimising hyperparameters for improved performance Skilled in building … LLM-powered applications for real-time decision-making and automation across various domains Familiarity with RAG and agentic workflows Solid understanding of machine learning algorithms, deep learning architectures, and their applications Strong problem-solving skills and the ability to translate complex business requirements into technical solutions Desirable More ❯

and evaluate new internal software releases, provide feedback to software engineering teams, make vital code fixes, and conduct code reviews. Benchmark models and key ML techniques to identify performance bottlenecks and improve model efficiency. Design and conduct experiments on novel AI methods, implement them and evaluate results. Collaborate with Research … have C++/other languages). Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting from ML experiments. Ability to move quickly in a dynamic environment. Enjoy cross-functional work collaborating with other teams. Strong communicator - able to explain complex technical concepts … to different audiences. Desirable: Experience in one or more of: distributed training of large-scale ML models, building production systems with large language models, efficient computing based on low-precision arithmetic, deep learning models including large generative models for language, vision and other modalities . Experience writing C++/ More ❯

our data sets and contribute to core AI strategies at the heart of what we deliver. You will rely on a diverse AI/ML and software ecosystem to enhance our core enterprise products and leverage cutting edge AI tools and methods to build new products that serve our end … s or Ph.D. degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Statistics or related field 3+ years of experience in ML/AI engineering, or software engineering with expertise in NLP Experience with AI/ML infrastructure, distributed training and a track record of building and … deploying ML systems at scale Solid understanding of AI system design principles and experience with ML/AIOps tools and best practices for model lifecycle management Familiarity with modern NLP architectures, including transformer models and LLMs based applications in production A passion for learning about and contributing to running More ❯

Machine Learning Engineer | FinTech We are searching for an Machine Learning Engineer to join a Series A startup on a mission to modernise outdated financial infra! They're using cutting-edge tech to build smarter, faster systems that rethink how finance works from the ground up. … building powerful, AI-driven solutions using open-source LLMs , replacing outdated systems with sleek, scalable tech within Asset Management. They’re now hiring an Machine Learning Engineer with a strong Python background and hands-on experience with LLMs , Langchain , and full-stack product development. You’ll be: Designing More ❯

will have knowledge of at least one of ray, spark or rapidsai framework to accelerate model training. A background in causal inference (e.g. Double ML) is a plus but not required. This is the ideal role if you are excited about leveraging science for tangible business impact. You will work … hackathons, and expand your horizons with conference visits. Key job responsibilities The MLE is accountable for: Work with scientists to design and develop scalable ML infrastructure that supports model training, deployment, and monitoring across hundreds of vendors Implement efficient data pipeline and architectures that enable automated ML workflows for our … eCommerce partners Build ML debugging and analysis tools to ensure model reliability and performance Utilizing Amazon systems and tools to effectively work with terabytes of data. Partner with product managers to shape the technical roadmap for vendor growth tooling at AMZ. About the team In this position, you will be More ❯

and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data. Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate technical vision and roadmap at multiple levels … and international scientific conferences. Contribute to filing patents. Essential Skills: Strong experience in machine learning and computer vision, including industry experience deploying ML models to production. Track record of successfully delivering high performance ML-driven products. Worked with customers to impactfully solve their problems. Deep understanding of machine learning theory. Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields. More ❯

and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data. Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate technical vision and roadmap at multiple levels … and international scientific conferences. Contribute to filing patents. Essential Skills: Strong experience in machine learning and computer vision, including industry experience deploying ML models to production. Track record of successfully delivering high performance ML-driven products. Worked with customers to impactfully solve their problems. Deep understanding of machine learning theory. Strong coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields. More ❯

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 or … 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 such More ❯

PhysicsX is a deep-tech company of scientists and engineers building next-generation machine learning tools to supercharge physics simulations and redefine what's possible in design and engineering. Our technology stems from a foundation in numerical physics and high-performance motorsport, and today powers breakthroughs across Aerospace … opportunity to be a part of a team redefining the engineering landscape, with exposure to cutting-edge tools at the intersection of physics and machine learning. What you will do Set up and build complex multi-physics models to simulate and understand complex real-world phenomena Automate simulation pipelines … potentially mentoring more junior colleagues Work at the intersection of CAE and data science, generating highly accurate results and predictions in conjunction with advanced machine learning and deep learning models Work closely with data scientists, machine learning engineers, and clients to develop an understanding of More ❯

Senior AI/ML Engineer Leadership Role – Start-Up – a new field of AI - Equity Consideration Want to be part of a groundbreaking AI tech startup set to revolutionise user authentication to digital DNA? Our client leverages behavioural biometric interactions and powerful AI to create unique user profiles for seamless … groundbreaking behavioural biometrics and a new field of AI . Due to continued investment and ambitious growth plans, they seek a Senior AI/ML Engineer leader to play a pivotal role in AI Development. We seek a Senior AI/ML Engineer Leader to develop and deploy AI models … high-impact, hands-on role. As the most Senior Machine Learning Engineer, you will be instrumental in managing the entire lifecycle of ML models—from data exploration and development to deployment, monitoring, and ongoing enhancement. We are looking for candidates with expertise in sensor-based data , large behaviour 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 VFX space. ROLE AND RESPONSIBILITIES Working closely within a small team, to build and scale ML models focusing on rendering and 3D graphic design Working alongside technical and non-technical stakeholders Driving the latest innovative research in Engineering, deploying core projects … 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, PyTorch, TensorFlow and AWS Then experience in some of: Diffusion, GANs, 3D modelling, BRDF, PBR, relighting, rendering, Gaussian Splats, Neural Radiance 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 VFX space. ROLE AND RESPONSIBILITIES Working closely within a small team, to build and scale ML models focusing on rendering and 3D graphic design Working alongside technical and non-technical stakeholders Driving the latest innovative research in Engineering, deploying core projects … 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, PyTorch, TensorFlow and AWS Then experience in some of: Diffusion, GANs, 3D modelling, BRDF, PBR, relighting, rendering, Gaussian Splats, Neural Radiance 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. 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. More ❯

deeply ingrained in everything we do, especially in the Customer Engagement Technology (CET) department. Leveraging conversational Artificial Intelligence (AI) and machine learning (ML) technology, we strive to predict and resolve customer issues through self-service and automation solutions. The CET team leads AI and Large Language Models (LLM … through response/action recommendation, summarization to capture conversation context succinctly, retrieving precise information from documents to provide useful information to the agent, and machine translation to facilitate smoother conversations when the customer and agent speak different languages. Key focus areas include: - Task-Oriented Dialog Systems: Building reliable, scalable … of LLM-based chatbots and conversational AI systems for customer service applications. - Design and implement state-of-the-art Natural Language Processing (NLP) and ML models for tasks such as language understanding, dialogue management, and response generation. - Collaborate with cross-functional teams, including data scientists, software engineers, and product managers More ❯

Head of Machine Learning Salary: £110,000-£130,000 + equity/benefits Location: London - 5 days a week in office, can then become hybrid post probation Manage and lead a dynamic team of Machine Learning Engineers working on high-impact, machine learning models in the 3D graphics and VFX space. ROLE AND RESPONSIBILITIES Working closely within a small team of 5, to build and scale ML models focusing on Computer Vision, AI rendering and 3D graphic design Working alongside technical and non-technical stakeholders Driving the latest innovative research in Engineering … and manage whilst doing code reviews, reporting into the CTO SKILLS AND EXPERIENCE Required MSc or PhD in STEM related subject + experience in ML Engineering Proficiency in Python, PyTorch, TensorFlow and AWS Then experience in some of: Diffusion, GANs, 3D modelling, BRDF, PBR, relighting, rendering, Gaussian Splats, Neural Radiance More ❯

Head of Machine Learning Salary: £110,000-£130,000 + equity/benefits Location: London - 5 days a week in office, can then become hybrid post probation Manage and lead a dynamic team of Machine Learning Engineers working on high-impact, machine learning models in the 3D graphics and VFX space. ROLE AND RESPONSIBILITIES Working closely within a small team of 5, to build and scale ML models focusing on rendering and 3D graphic design Working alongside technical and non-technical stakeholders Driving the latest innovative research in Engineering, deploying core projects … and manage whilst doing code reviews, reporting into the CTO SKILLS AND EXPERIENCE Required MSc or PhD in STEM related subject + experience in ML Engineering Proficiency in Python, PyTorch, TensorFlow and AWS Then experience in some of: Diffusion, GANs, 3D modelling, BRDF, PBR, relighting, rendering, Gaussian Splats, Neural Radiance More ❯

on insights derived from the dashboard. This is a full time, fixed term role for 3-4 months. Knowledge, Skills, and Experience AI and Machine Learning Skills : proficiency in various AI and machine learning methodologies, including supervised and unsupervised learning on image and tabular data. … latest AI frameworks and libraries, such as TensorFlow, PyTorch, Keras, etc Programming skills : Experience with scripting languages such as Python for data analysis and machine learning applications and software development Data management skills : Proficiency in database management systems (DBMS), including SQL and NoSQL databases, to store and manage … data efficiently Cloud Computing and APIs : Experience with cloud computing platforms such as AWS, Google Cloud, or Azure, particularly their AI and machine learning services. Proficiency in developing and utilising APIs for the integration of AI functionalities into digital twin solutions Software Development and Integration : Experience in software More ❯

with business objectives. This position is ideal for candidates with deep expertise in machine learning, demonstrated experience in developing and implementing advanced ML algorithms, strong analytical and mathematical skills, and a passion for solving complex business problems through practical applications of machine learning and statistical methods. … Key job responsibilities The Applied Scientist is accountable for: (1) Design and develop sophisticated ML algorithms to solve complex business problems across vendors, including novel approaches for feature engineering and model architectures (2) Drive technical excellence through rigorous experimentation, performance validation, and collaboration with other scientists to review and improve … model designs (3) Partner with MLEs to productionize solutions and with Product Managers to identify high-impact ML applications, while being the technical voice in business reviews (4) Develop evaluation frameworks and metrics to quantify model performance, ensuring business value through statistical validation (5) Contribute to scientific advancement through internal More ❯

We are looking for Machine Learning Engineers at Senior and Mid Level to join our growing team, to develop and deploy core ML/AI algorithms required to tackle data science challenges across Kingfisher Group. You will support data science projects from start to production, developing quality code … automated builds and deployments, working closely with colleagues in the Data Science team as well as stakeholders across the business. Responsibilities Develop high-quality machine learning models to solve business challenges Develop production quality code and carry out basic automated builds and deployments Write comprehensive, well-written documentation … projects and manage deliverables Qualifications Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling, and software architecture Solid understanding of classical Machine Learning algorithms (e.g., Logistic Regression, Random Forest, XGBoost, etc.), state-of-the-art research areas (e.g., NLP, Transfer Learning, etc.), and modern More ❯

Job Title: AI Machine Learning Research Engineer Duration: 6 Months Location: Remote - With Branch/clients visit when required, London/Windsor Rate: £850 - £900 inside umbrella About the Role: Join our client's Innovation Team as an AI Machine Learning Research Engineer, where you will … with front-end and back-end systems to align with sustainable energy solutions. AI & Machine Learning Implementation: Design and deploy AI/ML models to extract insights from energy data, optimise systems, and enhance customer experiences. Full-Stack Development: Develop end-to-end solutions, ensuring seamless integration between … create intuitive products. Knowledge Sharing: Act as a mentor within the Innovation Team, sharing insights on emerging AI technologies and fostering a culture of learning and growth. Stakeholder Interaction: Collaborate with stakeholders to refine requirements, gather feedback, and validate the technical aspects of innovations, clearly communicating the capabilities of More ❯

Mosaic, revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of user experience, machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. … The role We are hiring a Machine Learning engineer. Take an existing open-source Pytorch model, fine-tune, productionize them in C++ runtime, and optimize for latency and throughput. Take an open-source model and fine-tune them on our in-house data set as needed. Design thoughtful … the end customer use case. Integrate the model with the downstream use case and fully own the end metrics. Maintain and improve all existing ML applications in the product. Read research papers and develop ideas on how they could be applied to video security use cases, and convert those ideas More ❯

Are you a curious and open-minded individual with an interest in state-of-the-art machine learning engineering and research? Thomson Reuters Labs is seeking a Data Engineer with a passion for solving challenging machine learning problems in a data-rich, complex and innovative environment. … As a Research Engineer, you will be part of a diverse global team of experts. We hire world-leading specialists in SWE/Applied ML, as well as Research, to drive the company's leading internal AI model development, fueled by an unprecedented wealth of data and powered by cutting … experts. Experience with big data technologies such as Spark, Hadoop, or similar. Experience conducting world-leading research, e.g. by contributions to publications at leading ML venues. Previous experience working on large-scale data processing systems. Strong software and/or infrastructure engineering skills, as evidenced by code contributions to popular More ❯

into our products to benefit customers, and learning from how our users interact with those products to drive continuous innovation. As an ML Ops Engineer, you'll play a critical role in ensuring that our machine learning features aren't just smart-they're scalable, efficient … where employees work 2 days a week in the Manchester office. What you will be doing Bridge Dev and AI : Build and scale reliable ML workflows that power features like our natural language interface and AI-enhanced pipelines. Make AI Production-Ready : Deploy and maintain generative AI systems in real … frameworks (like LangChain), AWS, data governance, and more over your first 12 months. What we are looking for Solid Technical Foundation : Experience with Python, ML workflows, cloud platforms (especially AWS), and data engineering tools. AI-Curious : Some exposure to Generative AI, agentic systems, and a drive to deepen your knowledge More ❯