701 to 725 of 3,667 Machine Learning Jobs in England

Lead the design and deployment of next-generation AI systems across Generative AI, Computer Vision, Forecasting, and Optimisation. Build and lead a world-class team of data scientists and ML engineers, setting technical direction and best practices across the company. Oversee the full AI lifecycle from experimentation and model development to robust ML deployment on Azure. Explore cutting-edge approaches … Proven track record leading AI or data science teams in production supply chain or logistics environments. Deep expertise in Computer Vision and Generative AI, with strong understanding of modern ML architectures, model training, and deployment techniques. 7+ years’ experience in applied ML, data science, or AI, including senior or leadership roles. Expert in Python, proficient with frameworks such as PyTorch … TensorFlow, FastAI, and experience with scikit-learn, MLflow, or ONNX. Solid engineering background—experienced in deploying and maintaining ML systems on Azure, including Azure Machine Learning, Azure Functions, Databricks, Docker, and Kubernetes. Experience with real-time data pipelines and streaming data using tools such as Kafka or Azure Event Hubs is a plus. Advanced degree (Master’s or More ❯

impact of next-gen technologies — all while gaining hands-on experience that sets you apart in the job market. Responsibilities Support the design, testing, and evaluation of AI/ML models for fraud detection Analyse complex datasets to identify patterns, anomalies, and insights Collaborate with developers and data scientists to validate results and refine algorithms Assist in developing blockchain use … practical application in finance. Requirements Undergraduate degree in a technical field (e.g., Computer Science, Data Science, Mathematics, Engineering, Physics, or related) A strong and demonstrable interest in AI/ML and blockchain technologies - especially in their application to real-world business challenges Solid understanding of data analysis techniques and some familiarity with tools such as Python, SQL or Excel Excellent … Experience with Python libraries like Pandas, NumPy, or Scikit-learn Exposure to machine learning concepts or blockchain architecture Coursework or personal projects involving data analysis, AI/ML, or distributed systems Knowledge of data visualisation tools like Power BI or Tableau Benefits Fully funded, accredited qualifications Bespoke technical and business skills training A health cash plan 26 days More ❯

Start ASAP | Outside IR35 To apply, email: THE OPPORTUNITY A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You'll be part of … a highly skilled R&D team building next-generation AI solutions for real-time insights, performance optimisation, and immersive sports analytics. THE ROLE Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision. Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights. Optimise AI systems … for real-time environments, integrating with live data feeds and cloud infrastructure. Research and prototype cutting-edge AI techniques (e.g., deep learning, reinforcement learning, generative models). Support continuous model improvement and scalable MLOps deployment pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV, NumPy, Pandas Experience With: Model training, tuning, and deployment More ❯

Outside IR35 To apply, email: jordanna.ramsey@searchability.com THE OPPORTUNITY A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You’ll be part of … a highly skilled R&D team building next-generation AI solutions for real-time insights, performance optimisation, and immersive sports analytics. THE ROLE Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision. Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights. Optimise AI systems … for real-time environments, integrating with live data feeds and cloud infrastructure. Research and prototype cutting-edge AI techniques (e.g., deep learning, reinforcement learning, generative models). Support continuous model improvement and scalable MLOps deployment pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV, NumPy, Pandas Experience With: Model training, tuning, and deployment More ❯

Outside IR35 To apply, email: jordanna.ramsey@searchability.com THE OPPORTUNITY A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You’ll be part of … a highly skilled R&D team building next-generation AI solutions for real-time insights, performance optimisation, and immersive sports analytics. THE ROLE Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision. Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights. Optimise AI systems … for real-time environments, integrating with live data feeds and cloud infrastructure. Research and prototype cutting-edge AI techniques (e.g., deep learning, reinforcement learning, generative models). Support continuous model improvement and scalable MLOps deployment pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV, NumPy, Pandas Experience With: Model training, tuning, and deployment More ❯

Outside IR35 To apply, email: jordanna.ramsey@searchability.com THE OPPORTUNITY A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You’ll be part of … a highly skilled R&D team building next-generation AI solutions for real-time insights, performance optimisation, and immersive sports analytics. THE ROLE Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision. Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights. Optimise AI systems … for real-time environments, integrating with live data feeds and cloud infrastructure. Research and prototype cutting-edge AI techniques (e.g., deep learning, reinforcement learning, generative models). Support continuous model improvement and scalable MLOps deployment pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV, NumPy, Pandas Experience With: Model training, tuning, and deployment More ❯

Outside IR35 To apply, email: jordanna.ramsey@searchability.com THE OPPORTUNITY A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You’ll be part of … a highly skilled R&D team building next-generation AI solutions for real-time insights, performance optimisation, and immersive sports analytics. THE ROLE Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision. Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights. Optimise AI systems … for real-time environments, integrating with live data feeds and cloud infrastructure. Research and prototype cutting-edge AI techniques (e.g., deep learning, reinforcement learning, generative models). Support continuous model improvement and scalable MLOps deployment pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV, NumPy, Pandas Experience With: Model training, tuning, and deployment More ❯

winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Company Highlights: Quantiphi, a Services & AI Platforms company, has seen 2.5x growth … year award Winner of the 17X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partner Winner of 3X AWS AI/ML Partner of the Year award Preferred and Premier Partner of AWS, Google, NVIDIA, Snowflake, MS Azure Recognized Leader in the AI space by IDC, Forrester, Gartner, ISG, Everest Group and … Changing Ideas- AI and Data category Winner of 2021 AWS Canada Rising Star of the Year Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! Roles and Responsibilities: Design and develop complete end-to-end enterprise-wide big data solutions Create integration and application technical design More ❯

winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Company Highlights: Quantiphi, a Services & AI Platforms company, has seen 2.5x growth … year award Winner of the 17X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partner Winner of 3X AWS AI/ML Partner of the Year award Preferred and Premier Partner of AWS, Google, NVIDIA, Snowflake, MS Azure Recognized Leader in the AI space by IDC, Forrester, Gartner, ISG, Everest Group and … Changing Ideas- AI and Data category Winner of 2021 AWS Canada Rising Star of the Year Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! Roles and Responsibilities: Design and develop complete end-to-end enterprise-wide big data solutions Create integration and application technical design More ❯

Outside IR35 To apply, email: jordanna.ramsey@searchability.com THE OPPORTUNITY A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You’ll be part of … a highly skilled R&D team building next-generation AI solutions for real-time insights, performance optimisation, and immersive sports analytics. THE ROLE Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision. Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights. Optimise AI systems … for real-time environments, integrating with live data feeds and cloud infrastructure. Research and prototype cutting-edge AI techniques (e.g., deep learning, reinforcement learning, generative models). Support continuous model improvement and scalable MLOps deployment pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV, NumPy, Pandas Experience With: Model training, tuning, and deployment More ❯

for a hybrid position to be based in Central London As an AI Engineer for this startup, you will have the chance to: Work on cutting-edge AI and machine learning initiatives that directly impact business outcomes. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust AI solutions. Key Skills Proficiency … machine learning algorithms and frameworks Strong understanding of data pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of natural language processing (NLP) and computer vision is a plus Experience 3+ years in AI, machine learning, or data science roles. Proven track record of More ❯

winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Company Highlights: Quantiphi, a Services & AI Platforms company, has seen 2.5x growth … year award Winner of the 17X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partner Winner of 3X AWS AI/ML Partner of the Year award Preferred and Premier Partner of AWS, Google, NVIDIA, Snowflake, MS Azure Recognized Leader in the AI space by IDC, Forrester, Gartner, ISG, Everest Group and … Changing Ideas- AI and Data category Winner of 2021 AWS Canada Rising Star of the Year Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! Roles and Responsibilities: Design and develop complete end-to-end enterprise-wide big data solutions Create integration and application technical design More ❯

winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Company Highlights: Quantiphi, a Services & AI Platforms company, has seen 2.5x growth … year award Winner of the 17X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partner Winner of 3X AWS AI/ML Partner of the Year award Preferred and Premier Partner of AWS, Google, NVIDIA, Snowflake, MS Azure Recognized Leader in the AI space by IDC, Forrester, Gartner, ISG, Everest Group and … Changing Ideas- AI and Data category Winner of 2021 AWS Canada Rising Star of the Year Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! Roles and Responsibilities: Design and develop complete end-to-end enterprise-wide big data solutions Create integration and application technical design More ❯

winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Company Highlights: Quantiphi, a Services & AI Platforms company, has seen 2.5x growth … year award Winner of the 17X Google Cloud Partner of the Year award including "Machine Learning, Breakthrough and Social Impact partner Winner of 3X AWS AI/ML Partner of the Year award Preferred and Premier Partner of AWS, Google, NVIDIA, Snowflake, MS Azure Recognized Leader in the AI space by IDC, Forrester, Gartner, ISG, Everest Group and … Changing Ideas- AI and Data category Winner of 2021 AWS Canada Rising Star of the Year Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! Roles and Responsibilities: Design and develop complete end-to-end enterprise-wide big data solutions Create integration and application technical design More ❯

for a hybrid position to be based in Central London As an AI Engineer for this startup, you will have the chance to: Work on cutting-edge AI and machine learning initiatives that directly impact business outcomes. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust AI solutions. Key Skills Proficiency … machine learning algorithms and frameworks Strong understanding of data pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of natural language processing (NLP) and computer vision is a plus Experience 3+ years in AI, machine learning, or data science roles. Proven track record of More ❯

for a hybrid position to be based in Central London As an AI Engineer for this startup, you will have the chance to: Work on cutting-edge AI and machine learning initiatives that directly impact business outcomes. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust AI solutions. Key Skills Proficiency … machine learning algorithms and frameworks Strong understanding of data pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of natural language processing (NLP) and computer vision is a plus Experience 3+ years in AI, machine learning, or data science roles. Proven track record of More ❯

to join a leading Data and AI Team , supporting digital transformation projects across Tax and Legal. This role involves designing and developing Generative AI and Machine Learning (ML) solutions using Python and Microsoft Azure . You'll work with cross-functional teams to build intelligent, data-driven applications that solve complex business challenges and deliver measurable impact. Key … Responsibilities Design, build, and deploy Python-based AI and ML applications . Research and develop new Generative AI techniques, including fine-tuning and prompt engineering. Develop and maintain LLM-assisted frameworks and automation pipelines. Write clean, maintainable, and well-documented code for scalable deployment. Build and implement testing and evaluation frameworks for AI models. Collaborate with data scientists, software engineers … on experience using NumPy, Pandas, Scikit-learn, Langchain, LlamaIndex , and Azure AI Foundry . Proven experience working with Azure cloud services and Generative AI R&D. Strong understanding of machine learning, data modelling , and natural language processing (NLP) techniques. Experience with fine-tuning , prompt orchestration , and retrieval methods (RAG, knowledge graphs). Familiarity with frameworks such as LangGraph More ❯

Job ID: AWS EMEA SARL (UK Branch) As a Senior Data Science & AI Consultant in AWS Professional Services, you will lead the delivery of cutting-edge artificial intelligence and machine learning solutions for our enterprise customers. You'll drive innovation … in Generative AI, shape technical strategy, and serve as a trusted advisor to customers throughout their AI transformation journey. Responsibilities Lead end-to-end delivery of complex AI/ML engagements, from strategic planning through to pre-production deployment and optimisation Architect and implement advanced solutions leveraging AWS's AI/ML services, with particular focus on Generative AI using … Amazon Bedrock and SageMaker Provide technical leadership and mentorship to junior consultants while driving best practices across delivery teams Partner with customers to translate business challenges into measurable ML outcomes and clear delivery roadmaps Drive innovation in applied AI/ML, contributing to methodologies and reusable solutions across the practice Influence customer AI strategy through technical expertise and industry insights More ❯

in feature engineering, model evaluation, and inference pipelines to help shape the future of our product offerings Lead data labeling at scale to produce ground-truth datasets and use ML techniques to maximise labelling efficiency Strong understanding of statistics, experimental design, and hypothesis testing to identify trends and patterns, and develop predictive models Lead model deployment with an eye for … a strong plus. Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. Hands-on experience building and deploying ML models in Python SQL skills and familiarity with AWS for deployment and data workflows. Experience working with large … scale data Proven success collaborating with product and engineering teams to ship ML-based features and tools Proficiency with data visualisation tools such as Tableau, PowerBI Demonstrated ability to design and validate features using transactional and behavioral data from financial services Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance and More ❯

improve patient outcomes worldwide - and they're seeking a Backend Software Engineer to help bring that mission to life. The Role You'll be joining a multidisciplinary AI/ML team responsible for developing the infrastructure and software that powers cutting-edge research and intelligent applications. The role focuses on backend development in Python, integrating AI components with data, compute … frontend systems to create scalable, high-performance solutions. Day-to-day responsibilities include: Designing and implementing backend services for Python-based web applications (e.g., FastAPI). Integrating AI and ML components into production systems and APIs. Writing high-quality, well-tested, and well-documented code following best practices. Developing and monitoring metrics to improve system reliability and performance. Collaborating closely … with frontend engineers, data engineers, and ML specialists to build end-to-end pipelines. Participating in agile ceremonies and code reviews to uphold quality and delivery standards. Tech Stack & Skills Core skills: Strong Python backend development experience (FastAPI or similar frameworks) Cloud-native deployment experience (preferably Google Cloud and Cloud Run) Unit testing experience (pytest or similar frameworks) Familiarity with More ❯

Youll Bring Proven experience in analytics, BI, or data science with both hands-on technical delivery and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field or equivalent experience; Relevant certifications … Will Bring Proven experience in analytics, BI, or data science with both hands-on technical delivery and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field or equivalent experience; Relevant certifications … experience Essential Proven experience in analytics, BI, or data science with both hands-on technical delivery and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field or equivalent experience; Relevant certifications More ❯

improve patient outcomes worldwide - and they're seeking a Backend Software Engineer to help bring that mission to life. The Role You'll be joining a multidisciplinary AI/ML team responsible for developing the infrastructure and software that powers cutting-edge research and intelligent applications. The role focuses on backend development in Python, integrating AI components with data, compute … frontend systems to create scalable, high-performance solutions. Day-to-day responsibilities include: Designing and implementing backend services for Python-based web applications (e.g., FastAPI). Integrating AI and ML components into production systems and APIs. Writing high-quality, well-tested, and well-documented code following best practices. Developing and monitoring metrics to improve system reliability and performance. Collaborating closely … with frontend engineers, data engineers, and ML specialists to build end-to-end pipelines. Participating in agile ceremonies and code reviews to uphold quality and delivery standards. Tech Stack & Skills Core skills: Strong Python backend development experience (FastAPI or similar frameworks) Cloud-native deployment experience (preferably Google Cloud and Cloud Run) Unit testing experience (pytest or similar frameworks) Familiarity with More ❯

improve patient outcomes worldwide - and they're seeking a Backend Software Engineer to help bring that mission to life. The Role You'll be joining a multidisciplinary AI/ML team responsible for developing the infrastructure and software that powers cutting-edge research and intelligent applications. The role focuses on backend development in Python, integrating AI components with data, compute … frontend systems to create scalable, high-performance solutions. Day-to-day responsibilities include: Designing and implementing backend services for Python-based web applications (e.g., FastAPI). Integrating AI and ML components into production systems and APIs. Writing high-quality, well-tested, and well-documented code following best practices. Developing and monitoring metrics to improve system reliability and performance. Collaborating closely … with frontend engineers, data engineers, and ML specialists to build end-to-end pipelines. Participating in agile ceremonies and code reviews to uphold quality and delivery standards. Tech Stack & Skills Core skills: Strong Python backend development experience (FastAPI or similar frameworks) Cloud-native deployment experience (preferably Google Cloud and Cloud Run) Unit testing experience (pytest or similar frameworks) Familiarity with More ❯

Summary We are seeking a highly skilled Senior Data Scientist to join our Enterprise Data Science team, leading the design, development, and evaluation of end-to-end machine learning systems that drive quantifiable business impact across the retail value chain. You will apply advanced statistical modelling, machine learning, and optimisation techniques to solve complex, high-value … Solving: Apply statistical, machine learning, and optimisation methods to address ambiguous, high-impact business problems across the retail value chain (e.g., inventory optimisation, demand forecasting, clustering, pricing) ML System Design & Productionisation : Lead the design, development, testing, evaluation, and monitoring of predictive models in a production environment Cross-Functional Collaboration : Work closely with Data Engineers, MLOps, Product Managers, and … are Technical: Strong hands-on experience and expertise in Python data science ecosystem. Experience with distributed computing frameworks like Apache Spark (PySpark) or similar is preferred Data Science/ML: Strong experience in exploratory data analysis, machine learning algorithms, statistical inference, and experimental design, with desirable experience in optimisation techniques (e.g., linear/non-linear programming, or heuristics More ❯

team builds and manages scalable annotation frameworks, driving quality training and evaluation datasets. We partner closely with Product and Engineering to elevate the performance of Machine Learning (ML) models, enrichments, and features delivered to clients. Looking forward, our roadmap includes expansion into communication-based search insights and further enhancements of ML enrichments. What's The Role As a … challenges in finance by ensuring our data collection, documentation, and tooling adhere to MDLC (Machine Learning Development Lifecycle) best practices. This role requires a strategic mindset around ML training data design, a strong understanding of data modeling and schema architecture, and the ability to align data strategies with product objectives. You will also be responsible for designing data … in other domains involving complex financial instruments. We'll Trust You To Own the end-to-end Annotation Lifecycle , from schema development to annotation execution, with an eye toward ML performance and product utility. Bridge the gap between finance and AI/ML by mastering domain-specific concepts that elevate communications experiences. Design and manage annotation programs for search and More ❯