26 to 31 of 31 Azure Machine Learning Jobs in London

requirements Required Expertise: Extensive ML Ops/ML Engineering experience, particularly in assurance, governance, and monitoring Hands-on knowledge of ML Ops platforms and tools (Kubeflow, MLflow, SageMaker, Azure ML, or equivalent) Proven ability to deploy and maintain AI solutions in regulated or complex operational settings Strong grounding in responsible AI practices, including explainability and fairness Experience More ❯

rapidly and tested prototypes prior to deployment Track record with front-end (React, Unity, WebGL, Android, iOS, React), back-end (Kotlin, REST, AWS, PHP8/Symfony4, AWS/Azure), AI, ML, web Past experience as a hands-on software engineer, ideally on Back End … systems Ability to take concepts from vision to technical solutions working with business, technical, management, and subject matter experts to deliver products or platform capabilities Experience with applying machine learning solutions to real world problems, ideally around natural language processing Proven track record of building and leading high-performance technology teams, and an ability to attract More ❯

involves the following engineering disciplines : Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure … AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith, Langfuse and similar for LLMOps The difference to our "AI Engineer" role is: Do you "use/consume" these technologies, or are you the one More ❯

through Agentic AI. Work on a modular, open-source Agentic AI framework - integrating GenAI and real-world tools. Develop, train, and deploy intelligent agents using tools like Python, Azure ML, focused on dynamic, self-improving systems. Translate business needs into data science problems with autonomy - then rapidly experiment, build, and deploy solutions that scale. Co-own the … to operate independently and collaborate within a high-trust, low-hierarchy team Contributions to academic/technical communities and shaping open-source projects Bonus Points For Certifications in Azure, AWS, or Google ML platforms Demonstrated contributions to graph theory, DevOps, or distributed systems Previous projects involving digital transformation, AI-native product development, or enterprise automation Presence in … you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering More ❯

NIST AI RMF, EU AI Act) and responsible AI design. Strong stakeholder skills-able to bridge the gap between business needs and technical delivery. Hands-on experience with Azure OpenAI, Azure ML, Databricks, M365 extensibility-or similar stacks. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all More ❯

adoption across teams, and embed models directly into business processes. Think real impact, not just proof of concept. What You'll Do Build and deploy AI products using Azure ML, LangChain, LangGraph, and Fabric tools Lead Co-Pilot enablement across the firm and help shape data governance around AI use Work closely with users to develop solutions … What You'll Bring 6-8 years of applied AI/ML experience, ideally with LLMs and enterprise deployment Hands-on experience with RAG systems, agentic workflows, and Azure ML tools Confidence working with business users to design AI tools they'll actually use A pragmatic, value-first mindset and strong communication skills Why This Role? Join More ❯