2,101 to 2,125 of 10,034 Machine Learning Jobs in the UK

for a Machine Learning professional to join a high-performing team within a forward-thinking real estate technology business. What you'll be doing: Build and deploy ML/AI solutions for commercial real estate, including generative AI models, LLMs, and time series analysis. Process and analyse complex CRE datasets, engineer LLM prompts, evaluate outputs, and write production … ready Python code. Collaborate cross-functionally with product and engineering teams, translating business needs into ML tasks and contributing across the full development lifecycle. What we're looking for: Background & Experience: 3+ years in ML/AI with a Master’s (or higher) in a quantitative field such as Computer Science, Statistics, or Engineering. Technical Skills: Proficient in Python and … key ML libraries, with hands-on experience in LLMs, prompt engineering, data processing, and production-level code development. Mindset & Communication: Strong analytical thinking, scientific approach to problem-solving, and clear communication skills; familiarity with commercial real estate is a plus. Location: This is a remote-first role, with occasional travel to the Canary Wharf (London) office 1–2 times per More ❯

for a Machine Learning professional to join a high-performing team within a forward-thinking real estate technology business. What you'll be doing: Build and deploy ML/AI solutions for commercial real estate, including generative AI models, LLMs, and time series analysis. Process and analyse complex CRE datasets, engineer LLM prompts, evaluate outputs, and write production … ready Python code. Collaborate cross-functionally with product and engineering teams, translating business needs into ML tasks and contributing across the full development lifecycle. What we're looking for: Background & Experience: 3+ years in ML/AI with a Master’s (or higher) in a quantitative field such as Computer Science, Statistics, or Engineering. Technical Skills: Proficient in Python and … key ML libraries, with hands-on experience in LLMs, prompt engineering, data processing, and production-level code development. Mindset & Communication: Strong analytical thinking, scientific approach to problem-solving, and clear communication skills; familiarity with commercial real estate is a plus. Location: This is a remote-first role, with occasional travel to the Canary Wharf (London) office 1–2 times per More ❯

have a deep understanding of machine learning, natural language processing, and the latest advancements in AI technologies. Key Responsibilities: Lead and mentor a team of highly skilled ML engineers and researchers Drive the development of next-generation AI and LLM technologies Collaborate with cross-functional teams to integrate AI solutions into products Define and implement best practices for … learning, and ethical AI development Requirements Qualification : MS or PhD in Computer Science, Machine Learning, or a related field 7+ years of experience in AI/ML engineering, with at least 3 years in a leadership role Proven track record of successfully delivering complex AI projects Deep expertise in machine learning, deep learning, and … natural language processing Hands-on experience with LLM architectures (e.g., Transformer-based models) Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow) Experience with large-scale distributed computing and ML infrastructure Excellent communication skills and ability to translate technical concepts to non-technical stakeholders Track record of publications or patents in AI/ML is a More ❯

As an AI Engineer at DRW, you will be an integral member of a collaborative multi-asset trading team. You'll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to our business strategy. In this role, you will build critical infrastructure and tooling that leverages AI and ML technology to enhance … business use cases. Implement automated systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability. Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments. Create and maintain feature pipelines, feature stores, and model stores. Develop frameworks to enable scalable, reproducible research. Proactively troubleshoot performance … intelligence technology. Strong understanding of core machine learning and artificial intelligence concepts. Excellent programming skills in Python. Demonstrated experience in building, validating, deploying, monitoring, and updating production ML and AI models. Hands-on experience with MLOps and AIOps infrastructure and tooling. Proficient in problem-solving and analytical reasoning. Exceptional communication and collaboration skills. Experience with ML frameworks such More ❯

/Masters or equivalent in Statistics, Machine Learning, or Artificial Intelligence with a passion for solving real-world problems and hands-on experience of using both traditional ML and cutting-edge Large Language Models in business settings. This is a high-impact role that blends hands-on model development with practical leadership in scaling ML/AI systems … machine learning and statistical methods to develop and implement models across diverse use cases, including credit, commercial, product, and operations, with a significant emphasis on credit risk. ML Ops Leadership: Define and execute an ML Ops framework to streamline model lifecycle management, including data ingestion, data transformation, model training, deployment, and monitoring. Collaborative Problem Solving: Work with commercial … and product teams to align ML solutions with business goals, ensuring risk considerations are integrated into new products and customer segments. Performance Tracking: Continuously monitor model performance and develop strategies to enhance accuracy and relevance, incorporating lessons learned into future iterations. Tooling & Technology: Evaluate and implement best-in-class tools and platforms for ML Ops, ensuring scalability and compliance with More ❯

the design, development, and implementation of artificial intelligence solutions to solve complex business problems in the healthcare sector. The ideal candidate will have a strong understanding of AI principles, machine learning algorithms, and natural language processing. Responsibilities: Develop and implement AI solutions to meet business needs Work with data scientists to gather and analyze data Train and evaluate … machine learning models Design and develop natural language processing systems Integrate AI solutions with existing systems Monitor and maintain AI systems Stay up-to-date on the latest AI trends and technologies Job details: Full-time, completely remote 1 year contract, with possibility for extension Compensation based on Experience Qualifications: Master's degree in computer science, artificial intelligence … weeks ago London, England, United Kingdom 2 days ago Machine Learning Scientists and Engineers: AI for Quantum London, England, United Kingdom 1 month ago Graduate Software Engineer – ML Data Platform London, England, United Kingdom 1 month ago City Of London, England, United Kingdom 1 week ago London, England, United Kingdom 2 weeks ago Research Engineer, ML, AI & Computer More ❯

in Computer Vision and Machine Learning. A day in the life As a senior applied scientist at Amazon, you'll be diving deep into groundbreaking computer vision and ML challenges. Your typical day involves architecting large-scale ML systems, collaborating with cross-functional teams, and mentoring junior scientists. You'll work with massive datasets, optimize model performance, and ensure … production readiness. BASIC QUALIFICATIONS PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED More ❯

Are you passionate about applying machine learning and statistical modeling to revolutionize financial systems that handle billions of dollars in transactions? Our team faces a unique challenge: developing intelligent systems to process, analyze, and derive insights from massive financial datasets generated across Amazon's global operations. This includes millions of customer transactions, vendor payments, inventory movements, commission calculations … and real-time data processing Develop automated decision-making systems for financial workflows Create scalable algorithms that balance accuracy, latency, and computational efficiency Collaborate with software engineers to productionize ML models The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud computing Proven track record of … generation financial systems while solving novel problems in machine learning and automated decision-making. BASIC QUALIFICATIONS - PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel More ❯

Senior Research Scientist £60000 - 75000 GBP 10% bonus Onsite WORKING Location: United Kingdom (Greater London - Chelmsford) Type: Permanent Senior Research Scientist - Data Science & Machine Learning Chelmsford (Hybrid - 2 days onsite per week) £60,000 - £75,000 + 10% Bonus Security Clearance: Must be eligible for UK SC Clearance A globally respected research and technology organisation is seeking a … including national defence, space, and critical infrastructure. As part of a multi-disciplinary innovation team, you'll contribute to the design of next-generation inference algorithms, apply AI/ML to time-series and sensor data, and help shape future technologies in areas such as distributed sensing, autonomy, radar, and RF systems. You'll also have opportunities to collaborate with … academic institutions and lead the development of internal IP and demonstrators. What you'll be doing: Leading AI/ML research projects from concept to prototype Developing algorithms for sequential data and decision support Collaborating across teams with specialisms in radar, sonar, NLP, CV, autonomy, LLMs, and more Mentoring junior staff and publishing/patenting innovative research Working directly with More ❯

You will design, develop, and deploy intelligent systems that empower clients to extract meaningful insights, automate processes, and achieve competitive advantage through AI innovation. What You’ll Do: AI & ML Development – Build and deploy machine learning models using Azure ML, Python, and Databricks. Develop solutions for NLP, computer vision, predictive analytics, and recommendation systems. Solution Architecture – Design scalable … Preparation – Cleanse, transform, and analyze large datasets to ensure high model performance. Perform feature engineering and exploratory data analysis (EDA). MLOps & Deployment – Implement CI/CD pipelines for ML models, ensuring reliable production deployments. Monitor model performance and integrate AI solutions with enterprise systems. Stakeholder Engagement – Translate complex analytics into actionable business insights. Communicate effectively with technical and non … Scikit-learn, PyTorch/TensorFlow, etc.). Knowledge of responsible AI practices, data ethics, and model interpretability tools. Experience with MLOps tools and Azure DevOps or GitHub Actions for ML model lifecycle. Familiarity with Power BI for visualizing and communicating insights. Proven track record of delivering AI/ML solutions in a business context using Microsoft tools. What We Offer More ❯

build and refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision … using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well … documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine More ❯

Spotify's Commerce Platform to build the next generation of our robust, high-performing, and resilient payments ecosystem. This is a unique opportunity to solve complex challenges, work with ML-powered systems, and contribute to the core of Spotify's revenue-generating systems. As part of Spotify's Commerce Platform, we in the Pay-In domain own the critical backend … journey. You will join one of the sub-teams in the Pay-In domain, which develops and maintains the systems that integrate with payment providers, manage disputes, and leverage ML for fraud detection and prevention. The reliability of these systems is business-critical for Spotify. What You'll Do Architect, design, and implement highly scalable backend services (Java/Python … and robust data pipelines that power Spotify’s internal Commerce platform. Develop and enhance our ML-powered systems taking solutions from concept to production. Take the lead on API design, platform development, and ensuring the scalability, reliability, and performance of our services. Collaborate with a talented, cross-functional team of engineers, product managers, and data scientists to deliver impactful solutions. More ❯

Senior Data Scientist ££60,000 £75,000 GBP Bonus Hybrid WORKING Location: United Kingdom (Greater London - Chelmsford) Type: Permanent Senior Research Scientist - Data Science & Machine Learning Chelmsford (Hybrid - 2 days onsite per week) £60,000 - £75,000 + 10% Bonus Security Clearance: Must be eligible for UK SC Clearance A globally respected research and technology organisation is seeking … including national defence, space, and critical infrastructure. As part of a multi-disciplinary innovation team, you'll contribute to the design of next-generation inference algorithms, apply AI/ML to time-series and sensor data, and help shape future technologies in areas such as distributed sensing, autonomy, radar, and RF systems. You'll also have opportunities to collaborate with … academic institutions and lead the development of internal IP and demonstrators. What you'll be doing: Leading AI/ML research projects from concept to prototype Developing algorithms for sequential data and decision support Collaborating across teams with specialisms in radar, sonar, NLP, CV, autonomy, LLMs, and more Mentoring junior staff and publishing/patenting innovative research Working directly with More ❯

build and refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision … using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well … documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine More ❯

The Amazon Alexa AI team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms within the realm of Generative AI. Key Responsibilities Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML for GenAI. Collaborate with cross-functional teams to architect and execute technically … Basic Qualifications Master's or PhD in computer science, statistics or a related field or relevant science experience (publications/scientific prototypes) in lieu of Masters. Experience in deep learning, machine learning, and data science. Proficiency in coding and software development, with a strong focus on machine learning frameworks. Experience in Python, or another language … a fast-paced environment. Exceptional level of organization and strong attention to detail. Comfortable working in a fast paced, highly collaborative, dynamic work environment. Papers published in AI/ML venues of repute. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender More ❯

days/week in Reading or London) Recruiting on behalf of a leading automotive company Are you an experienced Data Science Manager with a passion for pricing strategy , machine learning , and commercial impact ? We're hiring on behalf of a major UK-based automotive group seeking a Data Science Manager to lead pricing analytics and shape the future … pipelines, and development processes to enable rapid innovation. What We're Looking For Proven track record in pricing analytics , valuation modelling , or similar domains. Strong hands-on experience developing ML solutions in Python . Experience managing and growing high-performing data science teams. Ability to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with … modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions. Exposure to Marketing Data Science (e.g., Marketing Mix Modelling, Multi-Touch Attribution More ❯

+ 20% Bonus + £6,000 Car Allowance + 6% Pension +more Are you an experienced Data Science Manager with a passion for pricing strategy , machine learning , and commercial impact ? We're hiring on behalf of a major UK-based automotive group seeking a Data Science Manager to lead pricing analytics and shape the future of their data … processes to enable rapid innovation. What We're Looking For Essential Skills & Experience: Proven track record in pricing analytics , valuation modelling , or similar domains. Strong hands-on experience developing ML solutions in Python . Experience managing and growing high-performing data science teams. Ability to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with … modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions. Desirable: Exposure to Marketing Data Science (e.g., Marketing Mix Modelling, Multi-Touch More ❯

+ 20% Bonus + £6,000 Car Allowance + 6% Pension +more Are you an experienced Data Science Manager with a passion for pricing strategy , machine learning , and commercial impact ? We're hiring on behalf of a major UK-based automotive group seeking a Data Science Manager to lead pricing analytics and shape the future of their data … processes to enable rapid innovation. What We're Looking For Essential Skills & Experience: Proven track record in pricing analytics , valuation modelling , or similar domains. Strong hands-on experience developing ML solutions in Python . Experience managing and growing high-performing data science teams. Ability to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with … modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions. Desirable: Exposure to Marketing Data Science (e.g., Marketing Mix Modelling, Multi-Touch More ❯

Salary: Up to £75k DOE + Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised leader in technology, consulting, and … engineering services. Working across high-impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machine learning, and data science. What Will You Be Doing? Applying advanced data … science and machine learning techniques to solve complex challenges Conducting research and innovation to develop cutting-edge solutions Keeping up to date with the latest developments in ML and data technologies Engaging in the full data science lifecycle, from data collection to model deployment Producing clear and well-documented technical outputs Delivering high-quality, impactful project components Providing More ❯

Senior Research Scientist – Data Science & Machine Learning Chelmsford (Hybrid – 2 days onsite per week) £60,000 – £75,000 + 10% Bonus Security Clearance: Must be eligible for UK SC Clearance A globally respected research and technology organisation is seeking a Senior Research Scientist to join its advanced data and decision science capability. This is a rare opportunity to … AI, machine learning, and statistical signal processing—delivering real impact across domains including national defence, space, and critical infrastructure. What you'll be doing: • Leading AI/ML research projects from concept to prototype • Developing algorithms for sequential data and decision support • Collaborating across teams with specialisms in radar, sonar, NLP, CV, autonomy, LLMs, and more • Mentoring junior … patenting innovative research • Working directly with customers across defence, space, and security sectors What we’re looking for: • PhD (or equivalent experience) in a relevant discipline • Deep knowledge of machine learning and statistical signal processing • Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, and scikit-learn • Experience working with time-series, sensor, or RF data • Track More ❯

availability, reliability, and security of production and staging environments in multi-cloud and hybrid setups. Collaborate with AI and backend engineers to streamline CI/CD pipelines optimized for ML workflows and bring new features to production. Monitor system performance and troubleshoot issues proactively, implementing solutions to prevent downtime across distributed infrastructure. Drive infrastructure as code (IaC) initiatives to improve … engineering. Strong expertise in multi-cloud and hybrid infrastructure including AWS, GCP, and on-premises environments. Experience with MLOps tooling such as MLFlow, Kubeflow, DataRobot, or similar platforms for ML lifecycle management. Experience with containerization and orchestration (Docker, Kubernetes) specifically for ML workloads and GPU clusters. Deep understanding of CI/CD pipelines for machine learning applications and … model deployment automation. Experience with specialized monitoring tools for AI systems including model performance tracking, data drift detection, and ML-specific alerting. Understanding of GPU clusters, HPC environments, and specialized AI hardware deployment and management. Excellent communication skills in English (B2 or higher preferred) with ability to translate technical concepts to stakeholders. Passion for AI and technology , with deep curiosity More ❯

The Amazon Alexa AI team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms within the realm of Generative AI. Key Responsibilities Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML for GenAI. Collaborate with cross-functional teams to architect and execute technically … of repute. Support on-call activities for critical issues. Basic Qualifications Master's or PhD in computer science, statistics or a related field. 2-7 years experience in deep learning, machine learning, and data science. Proficiency in coding and software development, with a strong focus on machine learning frameworks. Experience in Python, or another language … measurements, development and evaluation data sets, etc. Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting. Papers published in AI/ML venues of repute. Preferred Qualifications Track record of diving into data to discover hidden patterns and conducting error/deviation analysis. Ability to develop experimental and analytic plans for data More ❯

s DNA. Amazon Seller Services is looking for a Data Scientist to work hands on from concept to delivery on generative AI, statistical analysis, prescriptive and predictive analysis, and machine learning implementation projects. We are looking for a problem solver with strong analytical skills and a solid understanding of statistics & machine learning algorithms as well as … of collecting, assembling, cleaning and setting up disparate data from enterprise systems. Key Responsibilities: Ability to understand a business problem and the available data and identify what statistical or ML techniques can be applied to answer a business question. Estimate solution feasibility and potential approaches based on available data. Understand what data is available, where, and how to pull it … with partner teams where needed to facilitate permissions and acquisition of required data. Quickly prototype solutions and build models to test feasibility of solution approach. Build statistical models/ML models, train and test them to drive towards the optimal level of model performance. Improve existing processes with the development and implementation of state-of-the-art generative AI models. More ❯

based applications. This role is ideal for someone who’s passionate about applying AI to solve real enterprise problems and wants to work at the forefront of NLP and ML innovation. What can you expect to be doing? Build and deploy production-grade AI systems using large language models Design scalable retrieval and agentic architectures Collaborate with engineers and researchers … performance and drive continuous improvements Translate business needs into high-impact AI solutions Implement strong testing and MLOps practices What will you bring? 5+ years in software engineering or ML development Deep Python expertise and experience building production systems Strong knowledge of ML techniques, tooling (e.g. MLflow, W&B), and cloud deployment Experience with LLMs and frameworks like LangChain, Hugging … ago London, England, United Kingdom 1 day ago London, England, United Kingdom 3 weeks ago London, England, United Kingdom 1 month ago London, England, United Kingdom 1 week ago Machine Learning Scientists and Engineers: AI for Quantum London, England, United Kingdom 2 months ago Research Scientist/Associate – Analytical Development Harrow, England, United Kingdom 1 week ago London 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 5+ 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 ❯