4 of 4 Azure Machine Learning Jobs in Edinburgh

description This is an interesting and varied role where you will be responsible for designing, developing, and deploying AI enabled solutions on the Azure and wider Microsoft 365 platform. You will utilise Microsoft low code tools such as Copilot Studio, Teams toolkit and the Power Platform to … the knowledge to code directly to underlying models when required. The role will allow you to develop your skills in areas such as machine learning, cognitive services, and cloud-based AI operations. The successful candidate will work within a wider development team to create innovative AI … placed upon them. Key responsibilities include: Designing and implementing AI solutions using Azure AI services, including Azure Machine Learning, Cognitive Services, and Bot Services Developing and maintaining scalable and secure cloud-based applications on the Azure, Power More ❯

are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB, AI/ML architectural patterns and best practices e.g. data drift detection, experimentation … networking, security, storage, monitoring, scaling, DR/HA, ) on one or more cloud platforms SW Engineering and DevSecOps Set yourself apart: Certified cloud Machine Learning (e.g., AWS Certified Machine Learning - Specialty). Certified cloud Architect Experience of delivering production AI/ML More ❯

retention and longevity, and are responsible for one of Europe’s most innovative data science healthcare platforms. Their Azure-hosted machine learning platform fosters R+D and collaboration between people from all areas of healthcare, across the globe. It underpins ground-breaking research into … To be considered you will have experience in: Python - this team works predominantly in Python JavaScript Python - APIs built in Python Cloud Computing (Azure) Kubernetes Linux/Unix Ruby - preference for those with knowledge of Ruby Their process is well-regarded and provides a two-way street More ❯

continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and …/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software More ❯