51 to 75 of 76 Azure Machine Learning Jobs in London

observability tools (e.g. Prometheus, Grafana, Elastic stack). Experience with Infrastructure as Code (Terraform). Experience with Azure Experience with Machine Learning Experience in building product for the construction industry. Additional InformationOur Hiring Process 25-minute screening call Take-home challenge: A hands ...

looking for candidates who are able to demonstrate skills and experience in some of the following:EDUCATION & EXPERIENCEPhD or equivalent in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline, or equivalent preferred.Outstanding candidates with strong quantitative, computer science, or engineering backgrounds in a related … record of thought leadership in AI/ML, evidenced by patents, publications, or significant open-source contributions.Relevant industry certifications (AWS/Google/Azure/IBM ML or equivalent Certifications) and deep understanding of technical courses (e.g., Andrew Ng’s Coursera Courses, Andrei Karpathy’s Tutorials) highly ...

typing; Experience with cloud-native development, preferably GCP; Hands-on experience with GCP Vertex AI or equivalent platforms such as AWS SageMaker or Azure ML; Experience with agent orchestration frameworks such as LangChain, LangGraph, or ADK; Solid understanding of MLOps, including CI/CD, Terraform, experiment tracking ...

using platforms such as MLflow, Vertex AI, or SageMaker. Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience ...

using platforms such as MLflow, Vertex AI, or SageMaker* Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores* Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience ...

management using platforms such as MLflow, Vertex AI, or SageMakerCloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector storesProgramming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with ...

production engineering fundamentals: cloud, reliability, security, monitoring, CI/CD Technical environment (Not hands-on coding daily, but technically credible) Cloud: AWS/Azure/GCP AI/ML delivery: model deployment, MLOps/LLMOps, monitoring, iteration Platform foundations: Kubernetes (EKS/AKS), CI/CD, GitOps ...

product What We’re Looking For 4+ years in platform/DevOps/infra Strong Kubernetes, Docker, cloud (AWS/GCP/Azure) GPU workloads/ML infra Experience designing & operating multi-tenant architectures with strict tenant isolation Familiarity with autoscaling & service isolation Experience with CI/… debugging production systems Nice to Have Security/compliance (SOC2, HIPAA) Exposure to AirFlow and MLFlow for scientific workflows MSC/PHD in Machine Learning Biotech/pharma experience Why Helical Live with top pharma High ownership, small team Work at the intersection of AI, biology ...

interestedModel Risk ManagementMLOpsModel ValidationSR 11-7Python## Job DescriptionThe ML Model Governance Lead owns the framework, processes and tooling that ensure machine learning models deployed in production are accurate, fair, compliant and monitored — a role that is rapidly becoming mandatory in regulated industries and is emerging … committee: chairing review meetings, escalating high-risk models and producing governance metrics for risk committees and regulators• Build model governance tooling: integrating MLflow, Azure ML or Databricks with governance workflows, automated testing and regulatory reportingRequired Skills & Experience:• 7+ years of model risk management, quantitative risk or ML ...

Enfint is seeking a senior data engineer to design and build scalable SQL databases and cloud data solutions in Azure. You will develop data pipelines for analytics and ML workloads, collaborate with data scientists, and ...

governance, compliance, responsible AI, and Microsoft 365 Copilot. Excellent communication, leadership, consulting, and stakeholder management skills. Desirable Skills Experience with Copilot Studio, Azure DevOps, AI/ML frameworks, and SharePoint agent development. Relevant Microsoft certifications such as MS-900, MS-700, MS-100, or AI-102. ...

analytics solutions Proven experience designing and evolving enterprise-scale data platforms Deep expertise in cloud-based data and analytics services on the Microsoft Azure platform (e.g. Azure Databricks, Azure ML) Experience shaping proofs of concept and evolving designs into production solutions ...

Deloitte in London seeks a Data Science and Machine Learning Manager to lead analytics delivery and guide client insights on risk and governance. You will collaborate with senior stakeholders to translate data into actionable recommendations. You will coach junior scientists, review code, and apply Python, Azure ...

make an impact in a team that delivers security, reassurance, and smart financial solutions to people and businesses alike! Key Responsibilities Define Azure AI reference architectures for enterprise use cases (IDP, GenAI copilots, knowledge retrieval). Establish standards for RAG (retrieval-augmented generation) architectures and document intelligence … access, Key Vault secrets, network security, and content filtering. Skills and Experience Required 15+ years in software/solution architecture; 7+ years in Azure cloud; 5+ years in AI/ML. Hands‐on with Azure OpenAI, Azure AI Foundry, Document Intelligence ...

leading validation activities. Candidates should have 7+ years of experience in model risk management and strong skills in Python and ML tools like Azure ML. The position offers a salary range of £95,000–£130,000, hybrid working conditions, and direct exposure to regulatory engagements. #J ...

hands-on product demos independently. Knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on-premise, and hybrid deployment models. Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, safetensors, HuggingFace model ...

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 ...

modelling to identify gaps between predicted vs. actual claim costs Working with large, messy insurance datasets across multiple product lines Tools & tech: Python, SQL, AzureML, XGBoost Opportunity to mentor within the team ...

Data Engineering Consultant, Data Specialist, Data Bricks, Snowflake, Data Analytics, Azure, Fabric, ML, Azure, Mainly Remote Data Consultant/Data Specialist required to join a fast growing Professional Services business based in the City of London. As this is an external client facing consulting ...

designing and operating model monitoring frameworks — drift detection, performance tracking, alerting Exposure to GenAI/LLM deployment in enterprise settings Cloud platform experience — Azure preferred Experience working in regulated industries — insurance or financial services strongly preferred Demonstrable experience with responsible AI practices — explainability, bias review, model auditability … plus ability to purchase 5 additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program. Integrity. client focus. respect. excellence. teamwork Our core values dictate how we live and work. We’re an ethical ...

Terraform, or similar tooling. How you'll help us make health happen: Contribute to the design and delivery of robust, automated, and scalable Azure and Snowflake data platform components. Develop and maintain infrastructure-as-code using Terraform, ensuring consistency and reusability across environments. Build and optimize …/CD pipelines using Azure DevOps and GitHub Actions to support rapid, reliable deployments. Implement observability practices including logging, metrics, and alerting using observability tools. Collaborate with the Lead Engineer and Architects to align implementation with platform standards and patterns. Provide technical guidance and mentorship ...

their most complex business issues, let’s talk. What you’ll do Design, development, and delivery of enterprise‐grade analytics solutions based on Azure and Databricks technologies Evangelise and evolve best practices for our clients and our team including mentoring your colleagues, supporting their personal development Constantly … Azure technologies, such as Databricks, Microsoft Fabric, Data Factory, Azure Data Lake Storage (Gen2), Purview, Cosmos DB, OpenAI, AzureML, AIFoundry, Kubernetes Understanding of software engineering tools and concepts including experience in Python, Scala or PySpark, database technologies, data modelling and SQL Confident communicator ...

skills and experience: Deep domain expertise and demonstrable experience with cloud-based services for data analytics and AI on the Microsoft Cloud (e.g. Azure ML, AI Foundry, Azure Databricks ) Experience shaping proof of concepts and evolve designs to productionised solutions with appropriate AI governance … role design, systems integration, and evaluation of architectures. Broader expertise of technologies and applications relevant to the Bank’s enterprise applications (e.g. Cloud, Azure, Databricks, data life cycle management, medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise ...

Skills & Experience Deep experience architecting and scaling enterprise-grade AI/ML systems . Proven expertise with cloud AI ecosystems (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong command of agent frameworks , vector databases , and LLM orchestration tools . Ability to lead multi ...

skills and knowledge: Cloud hosting providers such as AWS, Azure, GCP, Vercel & Netlify Cross‐platform AI experience across AWS, Microsoft Azure, Google (e.g. Bedrock, AgentCore, Vertex, Azure ML etc.) Advanced Python programming AI frameworks such as AutoGen, Langflow, Tensorflow Knowledge … such as React, or Mobile technologies such as SwiftUI, Kotlin, Flutter or React‐native CMS, DXPs and common MarTech SaaS products integration Atlassian, Azure DevOps, GitLab or similar workflow tools Understanding of Automation and Quality assurance practices QUALITIES AND CHARACTERISTICS Must be from an engineering or development ...