16 of 16 Azure Machine Learning Jobs in the South East

Senior Data Scientist Welwyn Garden City, Hertfordshire or Slough, Berkshire | Hybrid (2 Days Office) | Python | SQL | PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive … Optimisation * Personalisation * Time Series Forecasting * Stock Forecasting * Demand Planning * Customer Behaviour Analytics * Decision Intelligence Technology Stack: Programming * Python * SQL * PySpark Cloud & Platforms * Microsoft Azure * Azure Databricks * Azure Machine Learning Machine Learning & AI * Statistical ...

+ Bonus + Car Allowance This is an opportunity to join a highly data-driven organisation where pricing, analytics, and machine learning sit at the heart of business strategy. You will work on innovative data science initiatives that directly influence risk assessment, pricing decisions, and commercial … well-established consumer-focused organisation undergoing significant investment in data, analytics, and technology. With a strong emphasis on innovation, they use advanced machine learning and predictive modelling to support strategic decision-making and deliver better customer outcomes. Their analytics community brings together Data Scientists, Analysts ...

Your responsibilities: Collaborate with data scientists/forecaster to deploy machine learning models into production environments. Follow deployment strategies in place to ensure safe and controlled rollouts. Design and manage the infrastructure required for hosting ML models, including Azure cloud resources. Utilize containerization … ML models Desirable skills/knowledge/experience: 5+ years of experience in MLOps, DevOps or a related field. Strong understanding of machine learning principles and model lifecycle management. Passionate about making things work iteratively and automating + scaling them Deep knowledge of software development ...

join our growing AI team within the Consulting function. In this role, you will design, build and deploy scalable, responsible AI and machine learning solutions that help our UK public sector clients across Defence, Government and Security/Intelligence unlock greater value from their data. Your … trusted insights, decision‐support tools and operational advantage. This is a hands‐on delivery role working across a variety of client engagements, from machine learning and predictive analytics through to cutting‐edge Generative AI applications. You will develop production‐ready AI solutions, contribute to the evolution ...

initially Role Overview Our client is seeking an experienced Azure MLOps Engineer to support the deployment, automation, and management of machine learning solutions within Azure. Working closely with architects, data scientists, forecasting teams, developers, and DevOps engineers, you will help deliver scalable, secure … large-scale data processing and real-time inference workloads. Key Responsibilities Deploy and manage ML models in production using Azure Machine Learning. Design and maintain Azure-based MLOps infrastructure. Build and support Azure DevOps CI/CD pipelines ...

plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance … outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/ ...

copilots. Familiarity with cloud platforms (ideally Azure) and AI services (e.g. Azure OpenAI, Azure Machine Learning, or equivalents). Experience working in agile, cross-functional delivery teams. Desired but not essential.... Postgraduate study or certifications … machine learning or data science. Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials. Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives). Experience with containerisation and DevOps/MLOps tools (e.g. Docker ...

software development. You will work predominantly on client projects, designing and delivering production-grade applications that integrate large language models, agentic systems and Azure AI services. This is more than a delivery role. As a senior member of the team, you will help define and prove … modern full-stack technologies. Integrate Azure AI services, including Azure OpenAI, Cognitive Services, Azure Machine Learning and AI Search, into production applications. Architect and build LLM-powered features, agentic workflows and Model Context Protocol (MCP) integrations ...

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 andMLOpstooling. The roleis responsible forestablishingAI engineering standards,governanceand best practices across … fast-paced technology environment. Strongexpertisein 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, modelmonitoringand Responsible AI frameworks. Excellent analytical, problem-solving ...

programming skills, software design patterns/best practices and practical experience applying TDD. Experience with Cloud services (AWS or Azure), Machine Learning, CI/CD and Containers would be standout.Crucially we need Engineers who have taken ownership in projects. What you've individually ...

programming skills, software design patterns/best practices and practical experience applying TDD. Experience with Cloud services (AWS or Azure), Machine Learning, CI/CD and Containers would be standout.Crucially we need Engineers who have taken ownership in projects. What you’ve individually ...

integration of advanced AI systems and solutions.We’re seeking Senior Engineers with deep technical expertise in AI technologies, particularly in areas such as Azure OpenAI, Cognitive Services, prompt engineering, Retrieval‐Augmented Generation (RAG) architectures, vector stores, and API integrations. You’ll be able to demonstrate substantial experience … DevOps preferred).Experience with microservices architecture, RESTful API development, and system integration.Prior experience in financial services or insurance sectors advantageous.Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous.Skills:Advanced proficiency in Python, and familiarity with AI frameworks such as LangChainSkilled ...

hybrid basis. This senior leadership role sits within a multidisciplinary analytics team, driving the design, delivery, and deployment of advanced analytics and machine learning solutions to support decision-making, improve performance, and enhance customer outcomes. You will lead across the full analytics lifecycle-from data exploration ...

software development. You will work predominantly on customer projects, designing and delivering production-grade solutions that integrate large language models, agentic systems, and Azure AI services into real-world applications. As a senior member of the team, you will not only build - you will help define … Responsibilities: Key Delivery Responsibilities Lead the design, development, and deployment of AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Architect and build ...

architecture, security, business, engineering, and data teams (data protection, data risks, AI governance) to shape pragmatic, future-facing AI solutions. Proven experience with Azure-native services, such as Azure OpenAI, Azure ML, Cognitive Search, Microsoft 365 extensibility, Azure ...

challenging the established approaches.Experience in liaising with multiple stakeholders to effectively frame problems and building solutions with effective commercial outcomes.Proficiency in Python, SQL, Azure ML, Git, Azure Cloud ServicesStrong communication skills. Ability to work cross-functionally with Data Engineers, Data Scientists and Pricing Analysts. ...