1 to 25 of 70 Azure Machine Learning Jobs

Machine Learning Operations Engineer Our financial services client based in London is looking to recruit a Machine Learning Operations Engineer ASAP. The position will be a Hybrid role be working from home and their offices in London. To be considered … role you must have the following essential skills & experience: Key Skills & Experience Model development: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine ...

years overall in software/solution architecture with 7+ years in cloud (Azure) and 5+ years in AI/ML or Azure AI solutioning. Proven experience leading production grade solutions using Azure OpenAI, Azure AI Foundry, Azure … experience Experience with vector databases (Cosmos DB with vector search, Redis Enterprise, or Pinecone) and semantic ranking. Knowledge of Azure Machine Learning for training/evaluation pipelines and model registries. Familiarity with Power Platform (AI Builder, Power Automate) for rapid AI-enabled workflows. ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham 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 … 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/ ...

Your responsibilities: Define target-state Azure AI reference architectures leveraging Azure AI Foundry , Azure OpenAI , and Azure AI Document Intelligence for enterprise use cases (IDP, GenAI copilots, knowledge retrieval). Establish standards for RAG architectures (vectorization, indexing, chunking … grounding, citation policies) using Azure Search or vector-enabled data stores. Create architectural decision records (ADRs), guardrails, and reusable blueprints for solution teams. Lead end-to-end solution designs including API contracts, integration patterns (Azure Functions, Logic Apps, Event-driven), security boundaries, and observability. ...

services including VNets, gateways, Service Bus, Event Grid, Synapse, Blob Storage, Azure Monitor, Azure Machine Learning, Azure Foundry, Azure Copilot Studio, Function Apps, API management, authentication, and Logic Apps.) to deliver ...

ERStudio Integration & Messaging Implement message-oriented data movement and ensure robust API design and access for data services Data Analytics & AI/ML Utilize AzureML for advanced analytics and machine learning workflows Explore Generative AI and Agentic AI for innovative data solutions Data Virtualization & Streaming Enable … Knowledge of API design, data virtualization, and streaming technologies Familiarity with ETL/ELT tools (Matillion, Alteryx, Qlik) Advanced skills in Power BI and AzureML Understanding of Machine Learning, Generative AI, and Agentic AI concepts Excellent problem-solving and communication skills Preferred Qualifications Experience in cloud ...

Developer - Azure, ML, AI Foundry £Market Rate (Inside IR35) Hybrid/South West London 6 months I am currently recruiting for an AI Developer with expertise in the Microsoft ecosystem, particularly Azure AI services and AI Foundry, to help design, develop, and deploy advanced … Microsoft's AI tools to deliver business value. Key requirements: Technical Expertise in Azure AI services, Azure Machine Learning (ML), and AI Foundry. Hands-on experience with Azure Cognitive Services, Azure OpenAI, and Azure ...

Data Scientist to join our team and help transform complex data into clear, actionable insights that drive business performance. Youll use statistical methods, machine learning, and data visualisation tools to identify trends, solve problems, and support data-driven decision-making across the organisation. In this role … multiple sources to ensure quality and accuracy. Apply statistical and analytical techniques to uncover insights and trends. Build and deploy predictive models using machine learning methods. Visualise data through clear, engaging dashboards and presentations. Work collaboratively with engineers, analysts, and business leaders to deliver impactful projects. ...

Science, Engineering) Experience using Python is a must Experience of data visualisation tools (e.g. Tableau, Power BI) A strong knowledge of statistical/machine learning models applied to real-world problems A keen interest in problem-solving and using data, analytics and AI to solve investment … enquire about other roles, please contact Nick Mandella at Harnham. KEYWORDS Python, SQL, Tableau, Power BI, AWS, GCP, Azure, Cloud, machine learning, statistics, Data Science, Data Scientist, Big Data, Artificial Intelligence, private equity, finance. ...

ecosystem. You'll ensure that the data platform architecture supports availability and growth targets and that the platforms leverage advances in AI and Machine Learning capability. They are currently working with a 3rd Party Data Partner who have recommended a number of improvements - you'll work … hybrid cloud environment but predominantly Azure/Databricks - Experience of pipeline orchestration management - Strong exprerience with Databricks - Experience of implementing machine learning and AI - Tooling such as Purview and Unity Catalog as well as the use of observability tools such as Monte Carlo ...

days per week in office) Day Rate: Market rate (Inside IR35 Duration: 6 months Role Overview As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building CI/CD pipelines … Snowpark, PySpark, or PyTorch Experience with containerization tools like Docker and orchestration tools like Airflow or Astronomer Familiarity with cloud platforms (AWS, Azure) and ML services (e.g., SageMaker, Vertex AI) Experience with CI/CD pipelines and automation tools such as GitHub Actions Understanding of monitoring ...

requires working across the full data ecosystem: developing application-specific data pipelines (features), building CICD pipelines that automate the training and deployment of machine learning models, publishing the model results for downstream consumption, and/or building out the APIs that serve model outputs to downstream … training, testing, deployment, and monitoring. Collaborate with data scientists to ensure that models are production ready. Implement security, compliance, and governance practices for machine learning systems. Support troubleshooting and incident response for deployed ML systems. Your Profile Essential Skills/Knowledge/Experience Strong programming skills ...

management, and data security solutions for an enterprise across business verticals Experience on at least one of the 3 major cloud platforms- AWS, Azure, GCP Knowledge of GenAI technologies, including LLMs (Large Language Models), generative models … related frameworks (e.g., LangChain, TensorFlow, etc.) Possess knowledge of cloud-based AI/ML services like AWS SageMaker, Azure Machine Learning, Google AI Platform, Databricks GenAI/BI, Snowflake GenAI, and their relevant services for building and deploying GenAI workloads. Knowledge of market ...

management, and data security solutions for an enterprise across business verticals Experience on at least one of the 3 major cloud platforms- AWS, Azure, GCP Knowledge of GenAI technologies, including LLMs (Large Language Models), generative models … related frameworks (e.g., LangChain, TensorFlow, etc.) Possess knowledge of cloud-based AI/ML services like AWS SageMaker, Azure Machine Learning, Google AI Platform, Databricks GenAI/BI, Snowflake GenAI, and their relevant services for building and deploying GenAI workloads. Knowledge of market ...

engineering into a global, high-calibre professional services environment? A leading international organisation is looking for a Data Scientist with strong experience with Azure to join its London technology function. You will help design, build, and deploy production-ready AI and advanced data analytics solutions that directly … play a critical role in the Design, development and deployment of AI/MI and Data solutions Work with advanced AI platforms including Azure ML, Azure OpenAI, Databricks, MLflow and LangChain A collaborative, supportive culture that encourages innovation and professional development Hybrid working with ...

Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity. Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges … including SIS (e.g., Banner, Workday Student), LMS/VLE (Moodle, Canvas), CRM (Salesforce), library systems, HR/Finance (ERP), and identity platforms (e.g., Azure AD). Govern AI responsibly Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation ...

Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity. Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges … including SIS (e.g., Banner, Workday Student), LMS/VLE (Moodle, Canvas), CRM (Salesforce), library systems, HR/Finance (ERP), and identity platforms (e.g., Azure AD). Govern AI responsibly Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation ...

Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity. Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges … including SIS (e.g., Banner, Workday Student), LMS/VLE (Moodle, Canvas), CRM (Salesforce), library systems, HR/Finance (ERP), and identity platforms (e.g., Azure AD). Govern AI responsibly Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation ...

Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity. Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges … including SIS (e.g., Banner, Workday Student), LMS/VLE (Moodle, Canvas), CRM (Salesforce), library systems, HR/Finance (ERP), and identity platforms (e.g., Azure AD). Govern AI responsibly Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation ...

Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity. Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges … including SIS (e.g., Banner, Workday Student), LMS/VLE (Moodle, Canvas), CRM (Salesforce), library systems, HR/Finance (ERP), and identity platforms (e.g., Azure AD). Govern AI responsibly Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation ...

Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity. Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges … including SIS (e.g., Banner, Workday Student), LMS/VLE (Moodle, Canvas), CRM (Salesforce), library systems, HR/Finance (ERP), and identity platforms (e.g., Azure AD). Govern AI responsibly Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation ...

Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity. Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges … including SIS (e.g., Banner, Workday Student), LMS/VLE (Moodle, Canvas), CRM (Salesforce), library systems, HR/Finance (ERP), and identity platforms (e.g., Azure AD). Govern AI responsibly Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation ...

Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity. Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges … including SIS (e.g., Banner, Workday Student), LMS/VLE (Moodle, Canvas), CRM (Salesforce), library systems, HR/Finance (ERP), and identity platforms (e.g., Azure AD). Govern AI responsibly Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation ...

Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity. Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges … including SIS (e.g., Banner, Workday Student), LMS/VLE (Moodle, Canvas), CRM (Salesforce), library systems, HR/Finance (ERP), and identity platforms (e.g., Azure AD). Govern AI responsibly Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation ...

Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention. Timetabling & Operations: demand forecasting, optimization support, and conflict detection. Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity. Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges … including SIS (e.g., Banner, Workday Student), LMS/VLE (Moodle, Canvas), CRM (Salesforce), library systems, HR/Finance (ERP), and identity platforms (e.g., Azure AD). Govern AI responsibly Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation ...