3 of 3 Azure Machine Learning Jobs in the City of London

Microsoft AI Engineer / Azure Artificial Intelligence Engineer

Hiring Organisation
Huxley Associates
Location
City of London, London, United Kingdom
Employment Type
Permanent
Salary
£50000 - £90000/annum
AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming expereince (Python, C#, or Java) Thisis a brilliant new role … experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals/Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate For more information, and the chance ...

Machine Learning Engineer

Hiring Organisation
JLA Resourcing Ltd
Location
City of London, London, United Kingdom
Employment Type
Permanent, Work From Home
Salary
£70,000
Role - Machine Learning Engineer Location Hybrid, 1 day on site in London (with flex) Salary - £70,000 to £75,000 The Opportunity Were partnering with a client in the financial services sector who are looking to bring on a Machine Learning Engineer … position is hybrid, typically one day per week on site in London (with flexibility around which day). The Role Reporting to the Machine Learning Lead, youll be a hands-on Machine Learning Engineer with a strong track record of building ...

Technology Product Owner, AI, Microsoft Stack, Data Bricks, Remote

Hiring Organisation
Carrington Recruitment Solutions Limited
Location
City of London, London, United Kingdom
Employment Type
Permanent, Work From Home
Technology Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Engineering, ML, Azure, Remote with Travel Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required … more details Experience required: Development FIRST mentality. You must have been a Developer before moving into Product Ownership Technical proficiency:Familiarity with Azure services (e.g., Data Lake, Synapse, Fabric) and Databricks for data engineering, analytics, performance optimisation, and governance. Experience with implementing and optimising scalable cloud infrastructure ...