1,626 to 1,650 of 2,581 Machine Learning Jobs in England

cloud. AWS has been continually expanding its services to support virtually any workload, and it now has more than 240 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, media, and application development, deployment, and management from 105 Availability Zones within 33 geographic regions, with More ❯

of customers worldwide. With one central platform, brands can seamlessly deliver consistent, accurate, and engaging experiences and meaningfully connect with customers anywhere in the digital world. Our AI and machine learning technology powers the knowledge behind every customer engagement, which is only possible through our team of innovators and enthusiastic collaborators. Join us and experience firsthand why we More ❯

of customers worldwide. With one central platform, brands can seamlessly deliver consistent, accurate, and engaging experiences and meaningfully connect with customers anywhere in the digital world. Our AI and machine learning technology powers the knowledge behind every customer engagement, which is only possible through our team of innovators and enthusiastic collaborators. Join us and experience firsthand why we More ❯

our technology-driven solutions leverage industry-standard tools. On the back end, we primarily utilise Node.js and Go for performance-critical services, while Python is employed for AI and machine learning solutions. Our front-end is powered by Angular, which enables the creation of dynamic and responsive user interfaces. Our infrastructure, orchestrated with Kubernetes and Docker, ensures scalability More ❯

its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up More ❯

of customers worldwide. With one central platform, brands can seamlessly deliver consistent, accurate, and engaging experiences and meaningfully connect with customers anywhere in the digital world. Our AI and machine learning technology powers the knowledge behind every customer engagement, which is only possible through our team of innovators and enthusiastic collaborators. Join us and experience firsthand why we More ❯

of customers worldwide. With one central platform, brands can seamlessly deliver consistent, accurate, and engaging experiences and meaningfully connect with customers anywhere in the digital world. Our AI and machine learning technology powers the knowledge behind every customer engagement, which is only possible through our team of innovators and enthusiastic collaborators. Join us and experience firsthand why we More ❯

its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up More ❯

its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up More ❯

Azure, AWS, or GCP). Proficiency in BI tools (Power BI or Tableau). Strong commercial awareness and stakeholder management skills. Hands-on with, or exposure to, AI/ML techniques. This role cannot sponsor. Apply below More ❯

Azure, AWS, or GCP). Proficiency in BI tools (Power BI or Tableau). Strong commercial awareness and stakeholder management skills. Hands-on with, or exposure to, AI/ML techniques. This role cannot sponsor. Apply below More ❯

emerging technologies, especially GenAI. Strong analytical and problem-solving skills. Excellent communication and cross-functional collaboration abilities. Experience in operations, data analytics, or technical support. Exposure to AI/ML tools or an eagerness to learn. Why Join IRIS? You’ll play a key role in shaping how we use AI to improve customer outcomes, streamline processes, and foster innovation More ❯

robust, scalable and secure platforms based on Linux and Kubernetes. This is a hands-on, growth-oriented role offering the exposure to new technologies and opportunities in AI/ML, networking and security. Duties and Responsibilities Design, implement, and maintain reliable and scalable Linux-based platforms. Design, implement, and maintain Kubernetes clusters on premises and public cloud. Automate operations using More ❯

emerging technologies, especially GenAI. Strong analytical and problem-solving skills. Excellent communication and cross-functional collaboration abilities. Experience in operations, data analytics, or technical support. Exposure to AI/ML tools or an eagerness to learn. Why Join IRIS? Youll play a key role in shaping how we use AI to improve customer outcomes, streamline processes, and foster innovation across More ❯

Global Trading firm Role Summary: Lead enterprise data strategy and architecture. Own and manage an Enterprise data management - Azure-native data platform architecture, governance frameworks, and drive AI/ML adoption across the business. The ideal candidate is an extensive hands-on architect with high-regulated data architect lifecycle experience covering data lakes, data warehouses, from concept to deployment and More ❯

attribution data to build growth dashboards Identify and prototype automations using AI tools in data workflows Lay the foundation for data governance, lineage, and documentation (Future) Design and prototype ML workflows using cleaned and governed datasets What you'll need 3+ years of experience in a data analytics engineering role Deep fluency in SQL - performance, structure, and readability Business acumen More ❯

version control systems (Git, GitHub). Understanding of responsive design and cross-platform development. Preferred Experience integrating applications with cloud services (AWS, GCP, Azure). Familiarity with AI/ML concepts and how they form the core of application functionality and user interaction. Background in audio or video processing applications. Experience with CI/CD tools and mobile deployment workflows. More ❯

tech solutions Crystal-clear communicator with top-tier documentation skills Bonus Points For: NetSuite Admin cert ERP/CRM domain experience Power BI skills for KPI visibility AI/ML familiarity (AI Builder, Azure OpenAI) Experience with other iPaaS tools like MuleSoft or Dell Boomi Why Join our client? Work at the cutting edge of automation & integration Collaborate with a More ❯

An advisory and technology company with an AI engineer for forecasting investment opportunities Asset Management: Investment management company investing in sustainable equities They focus on R&D of AI, ML, Data, Finance and sustainability. You will be based in the client's London office. There is also the option for Home Office but you will be required to travel to More ❯

experience - clean code, APIs, automation tasks Hands-on experience with n8n or other low-code automation tools (e.g., Power Automate) Familiarity with Azure AI services and modern AI/ML integration practices Background in integrating enterprise tools and systems (REST APIs, M365, iManage, etc.) Strong problem-solving mindset and collaborative approach Bonus experience: Typescript/Node.js (for custom node development More ❯

and EU MDR regulations for software Experience with software validation, V&V testing, and risk management (ISO 14971) Familiarity with software configuration management, cybersecurity standards, and AI/ML regulatory considerations is a plus Hands-on experience with document control systems (e.g., eQMS), CAPA management, and audit processes Strong analytical and problem-solving skills with a detail-oriented mindset Excellent More ❯

GitLab Contribute to containerisationand deployments on OpenShift What You'll Bring: 3+ years backend development experience with Node.js/Next.js Proven experience with AWS services (particularly Bedrock & AI/ML integrations) Strong understanding of REST APIs, microservices, and secure coding Experience with CI/CD pipelines (GitLab preferred) Solid background in SQL and NoSQL databases Ability to work independently and More ❯

An advisory and technology company with an AI engineer for forecasting investment opportunities Asset Management: Investment management company investing in sustainable equities They focus on R&D of AI, ML, Data, Finance and sustainability. You will be based in the client's London office. There is also the option for Home Office but you will be required to travel to More ❯

MLOps tooling (MLflow, DVC). Work closely with cross-functional teams to turn real-world problems into working software. 🛠️ What You Bring: Fluency in Python and strong grasp of ML/DL concepts. Experience with frameworks like PyTorch, TensorFlow, Scikit-learn, and HuggingFace Transformers. Comfort designing production-ready AI systems—optimising for speed, cost, and value. Passion for leveraging AI More ❯

MLOps tooling (MLflow, DVC). Work closely with cross-functional teams to turn real-world problems into working software. 🛠️ What You Bring: Fluency in Python and strong grasp of ML/DL concepts. Experience with frameworks like PyTorch, TensorFlow, Scikit-learn, and HuggingFace Transformers. Comfort designing production-ready AI systems—optimising for speed, cost, and value. Passion for leveraging AI More ❯