2,076 to 2,100 of 10,881 Machine Learning Jobs in the UK

Employment Type: Permanent - Full Time Location: Bristol Compensation: Competitive Package Description The Machine Learning Operations Lead will be responsible for overseeing the development and deployment of the ML Ops platform for Project Pegasus. This role involves leading a cross-functional team to ensure the successful implementation and integration of ML models into the live pricing environment. The ML … Ops Lead will work closely with data scientists, data engineers, and external consultants to deliver a robust and scalable ML platform. What you'll be responsible for: Lead the development and deployment of the ML Ops platform. Oversee the design, build, and testing of API services in the development environment. Ensure the platform supports offline analytics, ML models, lookup tables … Manage the integration of the platform with RADAR and other systems. Ensure Code is production ready and follow the SDLC best practices. What you'll need: Proven experience in ML Ops engineering, with a focus on Azure and Databricks. Strong knowledge of Postgres, Azure Cache (Redis) and Azure Redis. Experience with Databricks Delta Live tables and Snowflake. Experience with Docker More ❯

team: Data & AI, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. Our focus is on big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix More ❯

team: Data & AI, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. Our focus is on big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix More ❯

London Area, United Kingdom . Quantitative Research Analyst - eTrading London, England, United Kingdom 1 month ago Quantitative Researcher – Trading Research London, England, United Kingdom 2 weeks ago Quantitative Researcher (Machine Learning) London, England, United Kingdom 3 months ago Fixed Income Quant Analytics – Prestigious Hedge Fund – Significant increase in base + large bonus London, England, United Kingdom 5 days More ❯

methodologies, and related technologies. Candidates who possess prior hands-on software development experience and a solid grasp of SDLC, along with proficiency in advanced analytics, data science, data engineering, machine learning, cloud infrastructure, and advertising and marketing technology concepts are preferred. Leadership: Demonstrated ability to lead and inspire cross-functional teams, manage stakeholder expectations, and drive results. Communication More ❯

impart knowledge and build their skills. You'll have the ability to move between working on our client facing web application stack, internal web applications and tools for our ML/AI serving & development systems to create client value. Write high quality documentation and implement user & system metrics and observability as you go to continually learn, assess and improve 9fin … work Work abroad for up to 3 months a year 1 month paid sabbatical after 5 years of service Enhanced parental leave & flexible working arrangements available Training & Culture Professional learning and development budget Quarterly team socials Bi-annual engineering hackathons Summer and Winter company social events Travel & accommodation budget for social attendance if living far from london 9fin is More ❯

SBL] Data Engineering Employment Type: Permanent - Full Time Location: Bristol Compensation: Competitive Package Description The Machine Learning Operations Engineer will support the development and maintenance of the ML Ops platform for Project Pegasus. This role involves building and maintaining the data infrastructure required for the platform, developing API services, and ensuring the integration of ML models into the … Integrate the platform with Snowflake for data storage and retrieval. Collaborate with cross-functional teams to deliver the platform in an agile manner. Ensure the platform supports offline analytics, ML models, lookup tables, and pricing actions. Conduct load, end-to-end, and performance testing. Produce pipeline code for running ML Ops jobs and create an Azure DevOps (GitHub) process for … source control and deployment. What you'll need: Experience in ML Ops engineering, with a focus on Azure and Databricks. Knowledge of Postgres, Azure Cache (Redis) and Azure Redis. Experience with Databricks Delta Live tables and Snowflake. Experience in Data (Delta) Lake Architecture. Experience with Docker and Azure Container Services. Familiarity with API service development and orchestration. Strong problem-solving More ❯

which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to … Kingdom 2 weeks ago System Software Engineer - GCC/LLVM compiler, tooling, and ecosystem Glasgow, Scotland, United Kingdom 1 week ago Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Glasgow, Scotland, United Kingdom 4 months ago Glasgow, Scotland, United Kingdom 5 hours ago Software Engineer - Python - Container Images Glasgow, Scotland, United Kingdom 1 month ago Software Engineer - Cross More ❯

team: Data & AI, the people who love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. Our focus is on big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix More ❯

April 2020 and is licensed as SaaS to assess over £200bn of non-life insurance business. DevOps and site reliability are particularly important for InsurSight because the platform uses machine learning to analyse large, complex datasets in the cloud. As a cloud-native application, it relies on many interconnected services working seamlessly together—from data storage and compute More ❯

in-office collaboration. Salary: £60,000 - £75,000 The Role You'll be a key member of the engineering team, focused on building LLM-driven features, intelligent agents, and ML-powered backend systems that automate and optimise intricate workflows. It’s an ideal role for someone with strong backend/ML experience who wants to work on cutting-edge AI … D setting, collaborating closely with cross-functional teams to bring ambitious ideas to life—balancing innovation with real-world delivery. What You’ll Be Doing Design, build, and deploy ML-powered features, agents, and APIs to automate unstructured tasks Build production-level backend and microservices in Python and TypeScript Work with product and engineering teams to shape models, services, and … AI orchestration frameworks Take ownership of features end-to-end, from design to deployment and monitoring What They’re Looking For 8+ years of software engineering experience, with strong ML or backend focus Proficiency in Python and/or TypeScript, and experience with production-grade systems Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp More ❯

through 2000AD, publish comics and graphic novels such as Judge Dredd. About the Role: We are seeking a passionate Junior Machine Learning Engineer to join our innovative ML Team. You will be part of a small, dynamic group focused on research, development, and AI-driven solutions for our game products. Your responsibilities include supporting the Head of Department … assisting Machine Learning Engineers, and helping create AI/ML systems for generating game levels, enhancing our products, developing tools, and integrating ML/DL models into real-time gaming environments. Our current focus is on Creating 3D Worlds and Game Levels using ML/DL technologies. You will support research into state-of-the-art advancements, build … train, validate models, and analyze data. Experience with satellite imagery, point cloud data, and proprietary datasets is a plus. You will assist in deploying ML models into production environments and ensure smooth operation of ML systems. This role is based at our riverside headquarters in Oxford, offering a creative and relaxed atmosphere. We provide a relocation package, including assistance, temporary More ❯

the Nottingham area , with regular in-office collaboration. The Role You'll be a key member of the engineering team, focused on building LLM-driven features, intelligent agents , and ML-powered backend systems that automate and optimise intricate workflows. It’s an ideal role for someone with strong backend/ML experience who wants to work on cutting-edge AI … D setting, collaborating closely with cross-functional teams to bring ambitious ideas to life—balancing innovation with real-world delivery. What You’ll Be Doing Design, build, and deploy ML-powered features, agents, and APIs to automate unstructured tasks Build production-level backend and microservices in Python and TypeScript Work with product and engineering teams to shape models, services, and … AI orchestration frameworks Take ownership of features end-to-end, from design to deployment and monitoring What They’re Looking For 8+ years of software engineering experience , with strong ML or backend focus Proficiency in Python and/or TypeScript , and experience with production-grade systems Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp More ❯

the Nottingham area , with regular in-office collaboration. The Role You'll be a key member of the engineering team, focused on building LLM-driven features, intelligent agents , and ML-powered backend systems that automate and optimise intricate workflows. It’s an ideal role for someone with strong backend/ML experience who wants to work on cutting-edge AI … D setting, collaborating closely with cross-functional teams to bring ambitious ideas to life—balancing innovation with real-world delivery. What You’ll Be Doing Design, build, and deploy ML-powered features, agents, and APIs to automate unstructured tasks Build production-level backend and microservices in Python and TypeScript Work with product and engineering teams to shape models, services, and … AI orchestration frameworks Take ownership of features end-to-end, from design to deployment and monitoring What They’re Looking For 8+ years of software engineering experience , with strong ML or backend focus Proficiency in Python and/or TypeScript , and experience with production-grade systems Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp More ❯

record. We have an office in Shoreditch and are backed by prominent venture capital firms from the US & Europe. This is an AI startup that is heavy on Data, ML Algorithms + LLMs. Role Description This is a full-time hybrid role for a Senior Engineer (ML Engineer): Strong background in Pattern Recognition, Computer Science, and Statistics Expertise in LLMs … and Algorithms Experience with data preprocessing and feature extraction Proficiency in programming languages like Python or R (4+ years) Knowledge of machine learning frameworks like TensorFlow or PyTorch Excellent problem-solving and analytical skills What you don't know, we can teach - as long as you have the desire to learn. We are a group of serious engineers … and looking to add a few more who have experience with Python, Machine learning, data pipelines and scalable infrastructure (we are mostly on AWS) This is a startup, so being able to sit across a few areas is always appreciated. You are going to be treated like a member of the Founding team and get to participate in More ❯

best-known tech businesses and educational 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 or aspiring ML Engineer with either a top Uni degree in Maths/CS or 6-18 months experience in a native AI start up. As a key UK hire you will work on training next gen models alongside an established US … team. Required Skills and Experience: Master’s Degree in Computer Science, Machine Learning, Mathematics, or a related field, with a strong focus on NLP or ML. Proficiency in MLOps best practices, including model versioning, CI/CD pipelines, containerization, and cloud deployment for large-scale models. Solid programming skills in Python and familiarity with machine learning More ❯

and optimising their product offerings. As we refine our existing capabilities and ambitiously expand into new business areas, you'll have a unique opportunity to define the future of ML at PLS. We're looking for a leader who thrives on large-scale challenges, can guide a talented full-stack ML team, coach people managers within their organisation, and is … stack team of Machine Learning Scientists and Machine Learning Engineers fostering personal growth and creating accountability. Develop and execute a comprehensive strategy for applying advanced ML techniques to the recommendations and relevance space that is aligned with business strategy. Collaborate with cross-functional teams to identify high-impact opportunities for enhancing partner recommendations and relevance using … AI & ML technologies. Work with your peers to identify and develop common capabilities that can improve efficiency across domains. Oversee the development, maintenance and operation of scalable ML infrastructure and pipelines. Stay at the forefront of relevant advancements in machine learning and drive innovation by encouraging your team to explore and implementing novel approaches. Effectively communicate complex technical More ❯

building AI the right way - ensuring transparency, fairness, and accessibility. This is a hard problem, and we need brilliant minds to help us solve it. The Opportunity As an ML Engineer, you'll help us index, benchmark, and evaluate training datasets at scale. Your expertise with data, AI and ML training methodologies and evaluation techniques will advance the state of … the art for developing AI. You will work across: Designing and developing benchmarks that allow our customers to understand their value of data for training ML (quantifying dataset quality and biases). Deploy these benchmarks by implementing end-to-end data evaluation pipelines to be run on different datasets and ML models. Tools to visualise, analyze, and understand the attributes … of datasets based on the evaluations. Develop ML models to transform, clean and understand data. Collaborating with cross-functional teams, including operations, software engineering, and product management, to integrate data evaluation tools and insights into product development. Key Responsibilities Engineering and Development Build scalable, high performance systems to support our AI data marketplace. Optimise data pipelines to improve data discovery More ❯

record. We have an office in Shoreditch and are backed by prominent venture capital firms from the US & Europe. This is an AI startup that is heavy on Data, ML Algorithms + LLMs. Role Description This is a full-time hybrid role for a Senior Engineer (ML Engineer): Strong background in Pattern Recognition, Computer Science, and Statistics Expertise in LLMs … and Algorithms Experience with data preprocessing and feature extraction Proficiency in programming languages like Python or R (4+ years) Knowledge of machine learning frameworks like TensorFlow or PyTorch Excellent problem-solving and analytical skills What you don't know, we can teach - as long as you have the desire to learn. We are a group of serious engineers … and looking to add a few more who have experience with Python, Machine learning, data pipelines and scalable infrastructure (we are mostly on AWS) This is a startup, so being able to sit across a few areas is always appreciated. You are going to be treated like a member of the Founding team and get to participate in More ❯

3x Software Engineers Competitive Salary Hybrid (Weekly On-Site in London or Cambridge) We're hiring Software Engineers across Backend, Frontend, Full Stack, ML, and Cloud roles. Join a fast-moving team building secure, scalable systems for advanced drone data applications. Key Responsibilities: Develop and maintain scalable backend services and APIs (Python, C++, Go). Build responsive frontend interfaces (React … Angular, or Vue). Deploy and optimise ML pipelines (TensorFlow, PyTorch). Design and manage cloud infrastructure (AWS, Azure, GCP). Collaborate across teams to deliver secure, performant software. Requirements: Degree in Computer Science or related field. Experience in one or more focus areas (Backend, Frontend, ML, Cloud). Strong coding skills (Python, JS/TS, C++ or Go). More ❯

3x Software Engineers | Competitive Salary | Hybrid (Weekly On-Site in London or Cambridge) We're hiring Software Engineers across Backend, Frontend, Full Stack, ML, and Cloud roles. Join a fast-moving team building secure, scalable systems for advanced drone data applications. Key Responsibilities: * Develop and maintain scalable backend services and APIs (Python, C++, Go).* Build responsive frontend interfaces (React … Angular, or Vue).* Deploy and optimise ML pipelines (TensorFlow, PyTorch).* Design and manage cloud infrastructure (AWS, Azure, GCP).* Collaborate across teams to deliver secure, performant software. Requirements: * Degree in Computer Science or related field.* Experience in one or more focus areas (Backend, Frontend, ML, Cloud).* Strong coding skills (Python, JS/TS, C++ or Go). More ❯

the Nottingham area , with regular in-office collaboration. The Role You'll be a key member of the engineering team, focused on building LLM-driven features, intelligent agents , and ML-powered backend systems that automate and optimise intricate workflows. It’s an ideal role for someone with strong backend/ML experience who wants to work on cutting-edge AI … D setting, collaborating closely with cross-functional teams to bring ambitious ideas to life—balancing innovation with real-world delivery. What You’ll Be Doing Design, build, and deploy ML-powered features, agents, and APIs to automate unstructured tasks Build production-level backend and microservices in Python and TypeScript Work with product and engineering teams to shape models, services, and … AI orchestration frameworks Take ownership of features end-to-end, from design to deployment and monitoring What They’re Looking For 8+ years of software engineering experience , with strong ML or backend focus Proficiency in Python and/or TypeScript , and experience with production-grade systems Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI, Anthropic, LangChain, etc.) Strong grasp More ❯

are seeking a skilled and versatile Full Stack Developer with deep experience in .NET (C#) and Angular, coupled with hands-on knowledge in Microservices architecture, Python, and AI/ML integration. The ideal candidate will be a self-starter who thrives in dynamic environments and enjoys building scalable, performant, and intelligent web applications from front to back. Full Stack Developer … are seeking a skilled and versatile Full Stack Developer with deep experience in .NET (C#) and Angular, coupled with hands-on knowledge in Microservices architecture, Python, and AI/ML integration. The ideal candidate will be a self-starter who thrives in dynamic environments and enjoys building scalable, performant, and intelligent web applications from front to back. Key Responsibilities Design … deploy high-quality web applications using .NET Core, C#, and Angular. Build and maintain scalable microservices using RESTful APIs and containerized services (Docker/Kubernetes). Integrate AI/ML models into applications using Python, leveraging frameworks such as TensorFlow, scikit-learn, or PyTorch. Collaborate with cross-functional teams including DevOps, Data Science, and UI/UX to implement features More ❯

We are looking for a Senior MLOps Engineer to join a Scottish company working on cutting edge AI solutions. You will play a pivotal role in ensuring that ML initiatives drive value effectively while maintaining operational excellence. The Role Managing and optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for … model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines, monitoring systems, and infrastructure automation. Upholding best practices in security, cost management, and infrastructure design for cloud environments. What We Are … Looking For 4+ years of experience in MLOpsor Software Engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerisation and orchestration tools (Docker, Kubernetes). Knowledge of data engineering concepts (e.g., ETL, data pipelines). Please note that this role is hybrid, based More ❯

AI) across our company, our dedicated team is responsible for overseeing data use, governance, and controls around the build, adoption and maintenance of cloud infrastructure, data and AI/ML products. With a focus on both effectiveness and responsibility, we strive to push the boundaries of innovation while ensuring ethical and sustainable practices. Join us on this exciting journey as … products. Our firm-wide team focuses on developing scalable LLM-based products and reusable back-end APIs. You will engage in close collaboration with cross-functional teams, including the ML Centre of Excellence, AI Research, Cloud Engineering, and others, to foster innovation and deliver solutions that yield a high Return-on-Investment (RoI). You will ensure that our APIs … compromising performance. By designing APIs with a clear separation of concerns and well-defined interfaces, we enable other teams and developers to leverage our APIs to build their own ML products and solutions, fostering a culture of collaboration and efficiency. Job Responsibilities Combine vast data assets with cutting-edge AI, including LLMs and Multimodal LLMs Bridge scientific research and software More ❯