23 of 23 Azure Machine Learning Jobs in London

Senior Data Scientist to join a highly advanced analytics function focused on pricing innovation. You'll work on developing cutting-edge machine learning models, leveraging new technologies and data sources to influence commercial strategy and deliver tangible business impact. The Company They are a data-driven … partner with experts across analytics, engineering, and business functions to drive innovation and challenge conventional approaches. The Role You will: Develop and deploy machine learning models that support pricing and risk management strategies. Build predictive models focused on claims outcomes, fraud detection, and key business performance ...

implement AI solution architectures for cloud-native PaaS and SaaS environments, integrating AI with enterprise data, APIs and microservices.Oversee the integration of Machine Learning, Generative AI and agentic systems into enterprise environments, ensuring seamless functionality, performance and responsible operation.Provide technical assurance across programmes, reviewing and challenging … required, providing assurance and constructive challenge on the designs produced by other architects and delivery teams.Who you areExperienceProven experience (8+ years) in AI, machine learning or data solution design, including significant hands-on experience delivering modern generative AI solutions.Deep, applied experience leading generative AI and agentic ...

implement AI solution architectures for cloud-native PaaS and SaaS environments, integrating AI with enterprise data, APIs and microservices. Oversee the integration of Machine Learning, Generative AI and agentic systems into enterprise environments, ensuring seamless functionality, performance and responsible operation. Provide technical assurance across programmes, reviewing … providing assurance and constructive challenge on the designs produced by other architects and delivery teams. Who you areExperienceProven experience (8+ years) in AI, machine learning or data solution design, including significant hands-on experience delivering modern generative AI solutions. Deep, applied experience leading generative ...

smooth day-to-day running of AI delivery operations. The Data Science & AI Delivery Lead is the technical delivery leader for AI, machine learning, and advanced analytics solutions. This role owns technical execution, engineering standards, solution architecture, deployment quality, and production delivery of AI capabilities. This … production-ready code. Technical Strategy & Architecture: Own AI solution architecture and technical design standards. Define engineering approaches for LLM applications, agentic systems, machine learning solutions, and AI platforms. Lead evaluation of emerging AI technologies and determine appropriate adoption. Establish standards for MLOps, AI observability, model lifecycle ...

ongoing operations in a Managed Services environment. This role is responsible for ensuring the stability, performance, and reliability of enterprise-scale data and machine learning workloads on Azure through proactive monitoring, issue investigation, automation, and continuous improvement. The ideal candidate will also play … solutions, including: Azure Data Factory (ADF) pipelines, dataset, linked service, triggerAzure Databricks (Spark jobs, notebooks, clusters)Azure Machine Learning models and endpointsPower BI dashboards and dataset refreshesMonitor and troubleshoot failures in pipelines, jobs, and ML workflows using Azure ...

Management, Logic Apps, Event Grid, Service Bus Engineering and SDLC: Azure DevOps, GitHub Enterprise, Azure Machine Learning, CI/CD, evaluation pipelines, observability Security … governance : Microsoft Entra, Purview, Key Vault, Defender, Azure Policy Data and analytics : Azure AI Search, Microsoft Fabric, Azure Data Factory, Power BI, SQL How We'll Take Care of You At Teva, better health starts from within, and that includes you. ...

Subfunction: Technology ConsultingJob Description:Would you like to be part of a fast-growing technology and engineering organisation that nurtures an open, collaborative learning environment? Are you passionate about technology, people and developing your coding skills? If this describes you, we're trying to create the best engineering … alongside client teams and third-party suppliers, where you influence rather than directly control the work Have a drive for self-improvement and learning, including learning new programming languages Approach solving problems pragmatically Experience mentoring/managing junior engineers Experience using AI or Agentic techniques ...

apply them to solve real world customer problemsAs a AI Senior Engineer (Senior Manager), you will: Lead the design and implementation of Microsoft Azure AI and Generative AI solutions. Develop enterprise solutions using Microsoft Foundry, Azure OpenAI, Azure AI Search, Azure Machine Learning and Azure services. Design and implement RAG, vector search, AI agents and LLM-based applications. Integrate AI solutions with enterprise data, applications and APIs. Establish AI engineering, security, governance, monitoring and responsible AI practices. Lead technical teams ...

approval workflows. Deployment through Anthropic APIs and/or Amazon Bedrock or Google Cloud Vertex AI, with broader AWS, Google Cloud or Microsoft Azure experience. DevSecOps, containers, infrastructure as code, cloud security, monitoring, scaling, resilience and operational support. LLM evaluation, prompt and agent testing, tracing, observability, responsible … open-source contributions. Experience building developer platforms or AI-enabled SDLC accelerators. Experience delivering AI solutions in regulated environments. Relevant cloud, software engineering, machine learning, security or DevOps certifications. Certified cloud Machine Learning (e.g., AWS Certified Machine Learning ...

passionate about building scalable AI and machine learning systems that power world-leading research and healthcare platforms Do you enjoy turning cutting-edge NLP, search, recommendation, and Generative AI innovations into reliable, secure, and production-ready solutions that create real-world impact About our TeamOur global … ranking quality, and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality.Key ResponsibilitiesML & LLM Engineering, Search and Recommendation EnginesAutomate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI)Maintain ...

Senior MLOps EngineerAre you passionate about building scalable, reliable machine learning platforms that bring AI models into production Do you thrive on automating ML workflows, optimising model performance, and creating robust MLOps solutions at scale About the team:Join the team that powers Elsevier’s research … their teams to execute increasingly sophisticated approaches to deliver outcomes. They should also support the development of best practices.Key Responsibilities:· Automate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI)· Maintain ...

Evaluating emerging AI technologies and helping shape technical direction and best practices. What We're Looking For Commercial experience designing and building AI, machine learning, or generative AI applications. Strong Python engineering skills and experience developing production-grade software. Hands-on experience with technologies such … Azure OpenAI, Azure AI Services, and Azure Machine Learning. Knowledge of modern AI frameworks including LangChain, Hugging Face, PyTorch, or similar technologies. Deep understanding of LLMs, RAG architectures, vector databases, prompt engineering, agentic AI, and multi-agent systems. Experience ...

DescriptionCertificationsNVIDIA certifications (NCP-AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred.Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least … equivalent demonstrable experience.Advanced degree (MS in CS/AI/ML or related) beneficial but not required given sufficient hands-on depth.Continuous, demonstrable learning in AI — publications, open-source contributions, conference speaking, or lab-based experimentation are all valued signals.Job RequirementsEnterprise Architect — Artificial IntelligenceAI/ML Infrastructure, Platform ...

DescriptionCertificationsNVIDIA certifications (NCP-AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred. Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least … experience. Advanced degree (MS in CS/AI/ML or related) beneficial but not required given sufficient hands-on depth. Continuous, demonstrable learning in AI — publications, open-source contributions, conference speaking, or lab-based experimentation are all valued signals. Job RequirementsEnterprise Architect — Artificial IntelligenceAI/ML Infrastructure ...

with customers through workshops, training sessions, and documentation to empower them to effectively utilize, maintain, and reproduce the AI solutions you deliver.Maintain continuous learning and stay up-to-date with the rapidly evolving GenAI landscape, proactively seeking knowledge of new trends and technologies.Required Qualifications:Enterprise Application Development: 5+ … including AI orchestration frameworks (e.g., LangChain, Llama Index, Haystack) and cloud provider AI offerings (e.g., AWS Bedrock, Vertex AI, Azure Machine Learning).Data Expertise: Strong foundation in data engineering, data analytics, or data science, with the ability to work effectively with various data ...

startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not we'll help you with themMachine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlowDeploying and managing in Cloud Computing such ...

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 ...