51 to 71 of 71 Azure Machine Learning Jobs in England

/Generative AI solutions in a commercial environment Strong knowledge of LLMs, RAG and modern AI architectures Python and cloud platform experience (Azure preferred) Experience integrating AI solutions into enterprise applications Ability … explain complex technical decisions to non-technical stakeholders Strong understanding of AI governance, security and best practice Desirable: Azure OpenAI Machine Learning React, React Native, Appian, Boomi or ServiceNow exposure They are looking for someone who can confidently explain not just what they ...

Senior Data Scientist Welwyn Garden City, Hertfordshire or Slough, Berkshire Hybrid (2 Days Office) Python SQL PySpark Azure Databricks Machine Learning Statistics Time Series Forecasting Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive ...

recruiter directly. About the Role Lead AI Engineer We’re seeking a Lead AI Engineer who can design, build, and operationalise advanced AI, Machine Learning, and Generative AI systems at enterprise scale. The focus of this role is to bridge the gap between AI prototypes … teams to execute complex requirements Architecting and implementing Generative AI solutions, including RAG pipelines, agentic workflows, and orchestration of large language models across Azure, GCP, or AWS. Embedding safety, evaluation, and assurance mechanisms across the AI lifecycle, ensuring solutions are ethical, explainable, and responsible. Collaborating with Product ...

analytics, ML best practices, and clinical domain knowledge Research & Innovation: Lead exploration of cutting-edge techniques including causal inference, survival analysis, and federated learning for healthcare applications Stakeholder Communication: Translate complex ML concepts and clinical insights into clear recommendations for product, clinical, and executive stakeholders What … bring to HeliosX Machine Learning & Statistical Expertise Advanced proficiency in supervised/unsupervised learning, time-series forecasting, survival analysis, and causal inference methods Experience building production ML models for patient stratification, risk scoring, or personalized recommendations Strong foundation in statistical inference, experimental design ...

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 ...

commercial stakeholders across the business. This is a hands-on mid-level Data Scientist role focused on developing and deploying customer-focused machine learning models. Projects include: Customer segmentation Customer Lifetime Value (CLTV) modelling Demand forecasting Propensity modelling Targeted promotions and campaign optimisation Data Science initiatives … Experience building predictive or customer-focused models A practical and commercially minded approach to Data Science Nice to have: Cloud exposure (GCP or Azure) Experience with Vertex AI or Azure ML THE BENEFITS Up to £50,000 HOW TO APPLY Please register your interest ...

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 ...

hybrid basis. This senior leadership role sits within a multidisciplinary analytics team, driving the design, delivery, and deployment of advanced analytics and machine learning solutions to support decision-making, improve performance, and enhance customer outcomes. You will lead across the full analytics lifecycle-from data exploration ...

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 ...

software development. You will work predominantly on customer projects, designing and delivering production-grade solutions that integrate large language models, agentic systems, and Azure AI services into real-world applications. As a senior member of the team, you will not only build - you will help define … Responsibilities: Key Delivery Responsibilities Lead the design, development, and deployment of AI-integrated solutions for client engagements using modern full stack technologies. Integrate Azure AI services (Azure OpenAI, Cognitive Services, Azure ML, AI Search) into production applications. Architect and build ...

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 ...

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 ...

while helping shape the next generation of analytics and AI offerings. This is an opportunity to sit at the intersection of Data Science, Machine Learning, analytics, and consulting. You'll have significant ownership from day one, working on both client-facing engagements and internal innovation projects. … base + up to £13,000 annual bonus • Working model: Hybrid (2–3 days per week in Victoria, London) • Tech stack: Python, SQL, Azure/cloud technologies, ML tooling • Sponsorship: Exceptional candidates only Interested? Please apply below. ...

product demos independently. Strong 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. Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency ...

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 ...

cloud platform and driving engineering excellence across the organisation. We're seeking a highly skilled DevOps professional with deep expertise in Microsoft Azure, Infrastructure as Code (IaC), and cloud automation to design, build and optimise secure, scalable and resilient cloud solutions. Working at the heart … infrastructure strictly through modular, reusable Terraform. GitOps & GitFlow : Enforce rigorous GitFlow branching strategies, code reviews, and automated deployment practices for all infrastructure changes. Azure DevOps Pipelines : Design, build, and maintain secure, high-speed CI/CD pipelines within Azure DevOps to automate code promotion ...

infrastructure strictly through modular, reusable Terraform. GitOps & GitFlow : Enforce rigorous GitFlow branching strategies, code reviews, and automated deployment practices for all infrastructure changes. Azure DevOps Pipelines : Design, build, and maintain secure, high‐speed CI/CD pipelines within Azure DevOps to automate code promotion … effectively to both technical and non‐technical stakeholders. AI/ML Platform Automation : Architect and maintain highly available MLOps platforms across AWS and Azure environments. Developer Enablement : Build self‐service infrastructure tools, deployment templates, and continuous training/inference pipelines to eliminate friction. Why you should apply ...

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 ...

getting it right is visible at company level. You'll design and deploy solutions in Python, SQL and Spark SQL, working across Azure Synapse, Snowflake, Databricks and Azure ML. The environment is modern and evolving. You'll help shape what good looks like before … background in data science or applied statistics, with hands-on ML experience and the Python/SQL depth to match. Experience with Azure tooling is useful; the ability to think clearly about business problems and turn them into scalable analytical solutions is non-negotiable. Curious to find ...

commercial stakeholders to ensure models are practical and impactful. Your Skills and Experience Strong commercial experience using Python for Data Science and Machine Learning. Confident working with SQL to access and manipulate data. Proven experience delivering end-to-end Data Science solutions, including deployment into production environments. Ability … communicate clearly with non-technical stakeholders and explain model outputs and impact. Exposure to cloud platforms such as GCP or Azure is beneficial, with openness to tools like Vertex AI or Azure ML. What They Offer Salary up too £48,000. Hybrid working with ...