26 to 33 of 33 Azure Machine Learning Jobs in England

will coordinate delivery across a cutting-edge, multi-supplier enterprise stack spanning Scala/JVM microservices, Microsoft Dynamics 365, Power Platform, Azure integrations, and a sophisticated Lakehouse data and analytics platform built on Azure Databricks, MLOps, and Power BI. Key Responsibilities Multi-ART Leadership … Integration: Drive the delivery of end-to-end data products. Coordinate ETL/ELT ingestion pipelines on Azure Databricks, integrate machine learning lifecycles (MLOps) into sprint cadences, and oversee governed Power BI deployment pipelines. GDS and Public Sector Governance: Ensure all delivery adheres ...

opportunity to own the architecture of an enterprise AI platform spanning Azure and AWS, supporting everything from traditional machine learning to Generative AI, LLMs, and emerging AI technologies. The business is looking for a technically strong architect to define the platform's direction … scalable, production-ready capabilities. Key Responsibilities of the AI Platform Architect Own the end-to-end architecture of an enterprise AI platform across Azure and AWS. Design capabilities for ML training, model hosting, MLOps and Generative AI. Define architecture patterns for LLMs, RAG, vector search and agent ...

Java), frontend (React, Angular), APIs (REST/GraphQL) Machine Learning: Foundations of MLflow, Weights & Biases, LoRA, PEFT, SageMaker, Vertex AI, AzureML, Kubeflow, Airflow, Prefect, TorchServe, Triton, vLLM, SHAP, LIME, pandas, Spark, SQLLLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management Performance … velocity for the whole org Product sensibility: Prioritize for user value, MVP iteration, and long-term scale DevOps fluency: Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra-as-code Field readiness: Able to travel up to 30% to embed onsite ...

your priorities – work/life balance, career progression, sustainability, volunteering – you'll find like-minded people driving change at Howden. Senior Platform Engineer - Azure Data & AI Platform The Role We are looking for senior platform engineers to build and operate our Azure-based data … Offer Actual flexibility: Remote-first with occasional in-office travel for workshops/planning. We care about outcomes, not seat time. Real learning budget: for conferences, training, certifications. We expect you to use it. Tooling: You'll get the equipment and licenses you need ...

tools to push the boundaries of what's possible today, with the scepticism to avoid overhyping what they can do. You're actively learning and experimenting with AI tools, pushing the boundary of what's possible today, with the healthy scepticism that keeps you from overhyping what they ...

optimization, chunking strategies and evaluation harnesses. Develop APIs, microservices and serverless workflows for scalable deployment. ML/LLM EngineeringWork with AI+ML pipelines through Azure ML, AWS SageMaker, Vertex AI, Databricks, or Modal/Fly.io for lightweight LLM deployment. Utilize vector databases (Pinecone, Weaviate, Milvus, ChromaDB, pgVector … 2.x, Mistral Large, LLaMA 3, Cohere Command R+, DeepSeekFrameworks: LangChain, LlamaIndex, Haystack, AutoGen, CrewAITools: GitHub Copilot, Cursor, LangSmith, LangFuse, Weights & Biases, MLflow, HumanloopCloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks, ModalInfra: Python, Docker, Kubernetes, SQL/NoSQL, PyTorch, FastAPI, RedisStaffworx are a UK based Talent & Recruiting ...

tests before a managed service vendor operates it. The team also governs AI tool security posture, advises on cloud security across the Azure and GCP estate, and is the front door between GSK's business units and R&D and the technical AI function. AI security standards … raising gaps rather than filling them informally. Preferred Qualifications: You have debugged a failing vector index rebuild and can explain what you changed. Azure or GCP fundamentals certification (AZ-900, AI-900 or equivalent)Working knowledge of prompt-injection test patterns from the OWASP ...

Power Automate, Dataverse and Power BI, such as operator apps, approvals, alerts and reportingConnect devices and embedded systems to the Microsoft stack using Azure IoT Hub, Event Hubs, Logic Apps, Functions and custom connectorsWork with embedded software and firmware where needed, such as telemetry, device data, protocols … interfaces between hardware and cloudApply AI where it adds real value, using Copilot Studio, AI Builder, Azure OpenAI and Azure ML for anomaly detection, classification, summarisation and intelligent assistantsPrototype quickly, get working versions in front of users early and iterate on their feedbackBuild ...