1 to 25 of 33 Permanent Azure Machine Learning Jobs in England

have active DV Clearance Up to £85k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with DV Clearance … Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical problem-solving ...

Senior Data Scientist to join a highly advanced analytics function focused on pricing innovation. You'll work on developing cutting-edge machine learning models, leveraging new technologies and data sources to influence commercial strategy and deliver tangible business impact. The Company They are a data-driven … partner with experts across analytics, engineering, and business functions to drive innovation and challenge conventional approaches. The Role You will: Develop and deploy machine learning models that support pricing and risk management strategies. Build predictive models focused on claims outcomes, fraud detection, and key business performance ...

implement AI solution architectures for cloud-native PaaS and SaaS environments, integrating AI with enterprise data, APIs and microservices.Oversee the integration of Machine Learning, Generative AI and agentic systems into enterprise environments, ensuring seamless functionality, performance and responsible operation.Provide technical assurance across programmes, reviewing and challenging … required, providing assurance and constructive challenge on the designs produced by other architects and delivery teams.Who you areExperienceProven experience (8+ years) in AI, machine learning or data solution design, including significant hands-on experience delivering modern generative AI solutions.Deep, applied experience leading generative AI and agentic ...

implement AI solution architectures for cloud-native PaaS and SaaS environments, integrating AI with enterprise data, APIs and microservices. Oversee the integration of Machine Learning, Generative AI and agentic systems into enterprise environments, ensuring seamless functionality, performance and responsible operation. Provide technical assurance across programmes, reviewing … providing assurance and constructive challenge on the designs produced by other architects and delivery teams. Who you areExperienceProven experience (8+ years) in AI, machine learning or data solution design, including significant hands-on experience delivering modern generative AI solutions. Deep, applied experience leading generative ...

business investing heavily in its data and AI capabilities. You'll work on high-impact customer and commercial projects, helping to shape how machine learning is adopted across the organisation while gaining exposure to cutting-edge tools and a rapidly evolving data environment. THE COMPANY This … business. THE ROLE As a Data Scientist, you will work closely with senior stakeholders, analysts, engineers, and fellow Data Scientists to deliver machine learning solutions across a range of customer and commercial use cases. Specifically, you can expect to be involved in the following: Building ...

smooth day-to-day running of AI delivery operations. The Data Science & AI Delivery Lead is the technical delivery leader for AI, machine learning, and advanced analytics solutions. This role owns technical execution, engineering standards, solution architecture, deployment quality, and production delivery of AI capabilities. This … production-ready code. Technical Strategy & Architecture: Own AI solution architecture and technical design standards. Define engineering approaches for LLM applications, agentic systems, machine learning solutions, and AI platforms. Lead evaluation of emerging AI technologies and determine appropriate adoption. Establish standards for MLOps, AI observability, model lifecycle ...

ongoing operations in a Managed Services environment. This role is responsible for ensuring the stability, performance, and reliability of enterprise-scale data and machine learning workloads on Azure through proactive monitoring, issue investigation, automation, and continuous improvement. The ideal candidate will also play … solutions, including: Azure Data Factory (ADF) pipelines, dataset, linked service, triggerAzure Databricks (Spark jobs, notebooks, clusters)Azure Machine Learning models and endpointsPower BI dashboards and dataset refreshesMonitor and troubleshoot failures in pipelines, jobs, and ML workflows using Azure ...

Management, Logic Apps, Event Grid, Service Bus Engineering and SDLC: Azure DevOps, GitHub Enterprise, Azure Machine Learning, CI/CD, evaluation pipelines, observability Security … governance : Microsoft Entra, Purview, Key Vault, Defender, Azure Policy Data and analytics : Azure AI Search, Microsoft Fabric, Azure Data Factory, Power BI, SQL How We'll Take Care of You At Teva, better health starts from within, and that includes you. ...

Management, Logic Apps, Event Grid, Service Bus Engineering and SDLC: Azure DevOps, GitHub Enterprise, Azure Machine Learning, CI/CD, evaluation pipelines, observability Security … governance : Microsoft Entra, Purview, Key Vault, Defender, Azure Policy Data and analytics : Azure AI Search, Microsoft Fabric, Azure Data Factory, Power BI, SQL How We'll Take Care of You At Teva, better health starts from within, and that includes you. ...

capability and adoption across the organisation. Hands-On Engineering Get hands-on with code when needed, helping to build and deploy AI, Machine Learning and Generative AI solutions in production environments. Work with modern AI frameworks, LLMs, RAG, prompt engineering and vector databases. Ensure robust MLOps … Experience with Microsoft Azure, including Azure OpenAI, Azure AI Services, Azure Machine Learning and Azure Data Platform technologies. Knowledge of LLMs, RAG, prompt engineering, vector databases and modern AI frameworks. Experience ...

design, develop and deploy AI-powered solutions that drive business value and improve operational efficiency. This role will focus on building and optimising machine learning models, generative AI applications, and intelligent automation solutions while working closely with technical and business stakeholders. The successful candidate will combine … with practical experience in AI technologies, helping to shape and deliver the organisation's AI strategy. Key ResponsibilitiesDesign, build, and deploy AI and machine learning solutions in production environments. Develop and optimise Large Language Model (LLM) applications. Create AI-powered copilots, chatbots, knowledge management solutions ...

Subfunction: Technology ConsultingJob Description:Would you like to be part of a fast-growing technology and engineering organisation that nurtures an open, collaborative learning environment? Are you passionate about technology, people and developing your coding skills? If this describes you, we're trying to create the best engineering … alongside client teams and third-party suppliers, where you influence rather than directly control the work Have a drive for self-improvement and learning, including learning new programming languages Approach solving problems pragmatically Experience mentoring/managing junior engineers Experience using AI or Agentic techniques ...

Subfunction: Technology ConsultingJob Description:Would you like to be part of a fast-growing technology and engineering organisation that nurtures an open, collaborative learning environment? Are you passionate about technology, people and developing your coding skills? If this describes you, we're trying to create the best engineering … alongside client teams and third-party suppliers, where you influence rather than directly control the work Have a drive for self-improvement and learning, including learning new programming languages Approach solving problems pragmatically Experience mentoring/managing junior engineers Experience using AI or Agentic techniques ...

apply them to solve real world customer problemsAs a AI Senior Engineer (Senior Manager), you will: Lead the design and implementation of Microsoft Azure AI and Generative AI solutions. Develop enterprise solutions using Microsoft Foundry, Azure OpenAI, Azure AI Search, Azure Machine Learning and Azure services. Design and implement RAG, vector search, AI agents and LLM-based applications. Integrate AI solutions with enterprise data, applications and APIs. Establish AI engineering, security, governance, monitoring and responsible AI practices. Lead technical teams ...

approval workflows. Deployment through Anthropic APIs and/or Amazon Bedrock or Google Cloud Vertex AI, with broader AWS, Google Cloud or Microsoft Azure experience. DevSecOps, containers, infrastructure as code, cloud security, monitoring, scaling, resilience and operational support. LLM evaluation, prompt and agent testing, tracing, observability, responsible … open-source contributions. Experience building developer platforms or AI-enabled SDLC accelerators. Experience delivering AI solutions in regulated environments. Relevant cloud, software engineering, machine learning, security or DevOps certifications. Certified cloud Machine Learning (e.g., AWS Certified Machine Learning ...

passionate about building scalable AI and machine learning systems that power world-leading research and healthcare platforms Do you enjoy turning cutting-edge NLP, search, recommendation, and Generative AI innovations into reliable, secure, and production-ready solutions that create real-world impact About our TeamOur global … ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality.Key ResponsibilitiesML & LLM Engineering, Search and Recommendation EnginesAutomate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI)Maintain ...

Senior MLOps EngineerAre you passionate about building scalable, reliable machine learning platforms that bring AI models into production Do you thrive on automating ML workflows, optimising model performance, and creating robust MLOps solutions at scale About the team:Join the team that powers Elsevier’s research … their teams to execute increasingly sophisticated approaches to deliver outcomes. They should also support the development of best practices.Key Responsibilities:· Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI)· Maintain ...

Evaluating emerging AI technologies and helping shape technical direction and best practices. What We're Looking For Commercial experience designing and building AI, machine learning, or generative AI applications. Strong Python engineering skills and experience developing production-grade software. Hands-on experience with technologies such … Azure OpenAI, Azure AI Services, and Azure Machine Learning. Knowledge of modern AI frameworks including LangChain, Hugging Face, PyTorch, or similar technologies. Deep understanding of LLMs, RAG architectures, vector databases, prompt engineering, agentic AI, and multi-agent systems. Experience ...

DescriptionCertificationsNVIDIA certifications (NCP-AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred.Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least … equivalent demonstrable experience.Advanced degree (MS in CS/AI/ML or related) beneficial but not required given sufficient hands-on depth.Continuous, demonstrable learning in AI — publications, open-source contributions, conference speaking, or lab-based experimentation are all valued signals.Job RequirementsEnterprise Architect — Artificial IntelligenceAI/ML Infrastructure, Platform ...

DescriptionCertificationsNVIDIA certifications (NCP-AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred. Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least … experience. Advanced degree (MS in CS/AI/ML or related) beneficial but not required given sufficient hands-on depth. Continuous, demonstrable learning in AI — publications, open-source contributions, conference speaking, or lab-based experimentation are all valued signals. Job RequirementsEnterprise Architect — Artificial IntelligenceAI/ML Infrastructure ...

Technology Engineering senior leadership team, the Head of AI Engineering will lead the design, deployment, integration and continuous improvement of enterprise AI and machine learning capabilities, including ML platforms, generative AI, LLM services, feature pipelines and MLOps tooling. The role is responsible for establishing AI engineering … paced technology environment. Strong expertise in machine learning, MLOps, generative AI, LLMs, AI platforms and cloud technologies (e.g. Microsoft Azure AI/Azure ML). Proven experience implementing AI engineering standards, deployment automation, model monitoring and Responsible AI frameworks. Excellent ...

runbook quality, and resilience patterns are consistently applied across services.People LeadershipLead and mentor a team of SRE engineers, fostering a culture of ownership, learning, and engineering excellence.Drive career development, performance management, and technical capability growth across the team.Collaborate with HR and Talent teams to build local hiring pipelines … including: Azure SQL, Cosmos DB, Application Gateway, Key Vault, Storage, DNS, Load Balancer, Virtual Machines, Azure Machine Learning, SentinelAWS Lambda, ECS, RDS, CloudWatchStrong understanding of SRE principles (SLOs, SLIs, error budgets, incident response).Hands-on experience with container orchestration (Kubernetes ...

quality, and resilience patterns are consistently applied across services. People LeadershipLead and mentor a team of SRE engineers, fostering a culture of ownership, learning, and engineering excellence. Drive career development, performance management, and technical capability growth across the team. Collaborate with HR and Talent teams to build local … including: Azure SQL, Cosmos DB, Application Gateway, Key Vault, Storage, DNS, Load Balancer, Virtual Machines, Azure Machine Learning, SentinelAWS Lambda, ECS, RDS, CloudWatchStrong understanding of SRE principles (SLOs, SLIs, error budgets, incident response).Hands-on experience with container orchestration (Kubernetes ...

with customers through workshops, training sessions, and documentation to empower them to effectively utilize, maintain, and reproduce the AI solutions you deliver.Maintain continuous learning and stay up-to-date with the rapidly evolving GenAI landscape, proactively seeking knowledge of new trends and technologies.Required Qualifications:Enterprise Application Development: 5+ … including AI orchestration frameworks (e.g., LangChain, Llama Index, Haystack) and cloud provider AI offerings (e.g., AWS Bedrock, Vertex AI, Azure Machine Learning).Data Expertise: Strong foundation in data engineering, data analytics, or data science, with the ability to work effectively with various data ...

startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not we'll help you with themMachine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlowDeploying and managing in Cloud Computing such ...