51 to 60 of 60 Azure Machine Learning Jobs

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 ❯

a mission to change lives through better sight and hearing-and now we're taking it to the next level with AI. If you're an expert in machine learning, MLOps, and building scalable AI systems, we've got a seriously exciting opportunity for you. We're looking for a Principal AI/ML Engineer to … helping Specsavers industrialise AI and embed it into real-world systems that make a difference every day. We are looking for someone who knows their way around GenAI, Azure ML, and MLOps, and can turn complex ideas into clear, scalable solutions. You'll need to be a great communicator, a strategic thinker, and a bit of a 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 ❯

design patterns and engineering practices Current SC clearance is a bonus — eligibility is essential Nice to have (or we’ll support you to get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Deployment tools (Ansible) Exposure to ML technologies (TensorFlow, AWS/Azure ML) The Package Up to More ❯

client is a leading EdTech business in the UK that empowers educators to create interactive and customizable teaching materials in minutes, turning static lessons into dynamic, student-centred learning experiences. With millions of active users across the globe, strong organic growth and a beloved product by teachers, the company is entering an exciting new chapter as they drive … team. Proven expertise in applied data analysis and a deep understanding of experimentation, statistical modelling, and advanced analytics. Hands-on experience with MLOps practices, cloud environments (AWS or Azure), and classical ML model deployment. Proficiency in Python, SQL, modern data science tools/platforms and BI tools. Experience enabling data accessibility and self service analytics at scale. 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 ❯

Experience writing AI-specific user stories, managing AI experiments, and tracking prompt/system performance Strong collaboration with engineering and data teams understanding of APIs, cloud platforms (AWS, Azure), and ML workflows Familiarity with tools like Miro, Azure DevOps, Aha!, and Gen AI prototyping platforms What You Bring: Product thinking thats user-first and More ❯

Experience writing AI-specific user stories, managing AI experiments, and tracking prompt/system performance Strong collaboration with engineering and data teams – understanding of APIs, cloud platforms (AWS, Azure), and ML workflows Familiarity with tools like Miro, Azure DevOps, Aha!, and Gen AI prototyping platforms What You Bring: Product thinking that’s user-first 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 ❯