126 to 150 of 178 Azure Machine Learning Jobs

business requirements into clear, concise, and actionable technical specifications and user stories for AI and data solutionsKnowledge of how data and analytics, including machine learning and AI, can be strategically leveraged to achieve wider business goals within an industry (e.g. Financial Services, Healthcare, Government & public sector … shore development teams, ensuring alignment and timely delivery of high-quality AI and data solutionsFamiliarity with cloud data platforms providers (e.g., AWS, Azure, GCP, Snowflake, Databricks) and their data and AI services (e.g., S3, Azure Data Lake, BigQuery, Azure ML, Vertex ...

design. All underpinned by technology created with purpose. We’re seeking a 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 and embedding … suitable cloud services across hyperscalars 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. Translating business ...

experience with Databricks, SQL, and data modelling. Proficiency with big data tools (e.g., Apache Spark, Apache Kafka, Presto, etc.) and cloud services (e.g., Azure, AWS, GCP).Familiarity with data visualization tools and business intelligence (e.g., Power BI). Solid … grasp of ETL workflows within databases/warehouses such as Oracle, PostgreSQL, SQL Server etc.Excellent problem-solving and interpersonal skills.Preferred Qualifications: Experience with machine learning frameworks and tools such as Azure ML Studio, AWS Sagemaker etc. Knowledge of real-time data processing ...

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 ...

core of the role is hands on delivery. Key Responsibilities Model ownership from start to finish: Design, build, and deploy production grade machine learning models, from problem framing and experimentation through to live deployment and monitoring. Technical depth: Apply strong statistical modelling, ML, and (where relevant … wider data science function approaches tooling, methodology, and model governance. Technical Environment Languages/Tools: Python (NumPy, Pandas, Scikit learn), deep learning frameworks (PyTorch/TensorFlow), SQL. MLOps: MLflow, cloud ML platforms (Azure ML, AWS SageMaker, or Databricks). Focus areas: Predictive modelling, recommender systems ...

includes IoT systems and home automation platforms, cybersecurity for connected devices, GDPR compliance, cloud platforms such as Azure or AWS, machine learning technologies, embedded Linux, Python, MQTT or FPGA development, or background in consumer electronics. The Details Location: Newton Aycliffe, County Durham (office ...

Contribute to the design and delivery of robust, automated, and scalable Azure and Snowflake data platform components Develop and maintain reusable infrastructure-as-code with Terraform across environments Build and optimize CI/CD pipelines using Azure DevOps and GitHub Actions Implement observability practices … healthcare and insurance Ensure platform compliance, performance, automation, and technical excellence Requirements Extensive experience in platform engineering, with a strong emphasis on Azure-based data solutions Expert-level knowledge of Azure and/or Snowflake services, including Data Factory, Data Lake, Azure ...

premises systems. The role will contribute to the firm’s modern Microsoft-based data and application technology stack, including Microsoft Fabric, Azure services, APIs and reusable automation frameworks.The work you will be doingThe Data Automation Engineer will design, develop and support automated data processes that improve operational … experience:Microsoft Fabric platform architecture and governance.Cloud data platform design and strategic architecture.AI Agents, Microsoft Copilot Studio and agentic AI solutions.Azure AI and Machine Learning technologies.Working closely with AI-focused delivery teams and AI initiatives.Coaching and mentoring junior engineers.Data platform strategy and enterprise data architecture.Power ...

premises systems. The role will contribute to the firm’s modern Microsoft-based data and application technology stack, including Microsoft Fabric, Azure services, APIs and reusable automation frameworks.The work you will be doingThe Data Automation Engineer will design, develop and support automated data processes that improve operational … experience:Microsoft Fabric platform architecture and governance.Cloud data platform design and strategic architecture.AI Agents, Microsoft Copilot Studio and agentic AI solutions.Azure AI and Machine Learning technologies.Working closely with AI-focused delivery teams and AI initiatives.Coaching and mentoring junior engineers.Data platform strategy and enterprise data architecture.Power ...

premises systems. The role will contribute to the firm’s modern Microsoft-based data and application technology stack, including Microsoft Fabric, Azure services, APIs and reusable automation frameworks.The work you will be doingThe Data Automation Engineer will design, develop and support automated data processes that improve operational … experience:Microsoft Fabric platform architecture and governance.Cloud data platform design and strategic architecture.AI Agents, Microsoft Copilot Studio and agentic AI solutions.Azure AI and Machine Learning technologies.Working closely with AI-focused delivery teams and AI initiatives.Coaching and mentoring junior engineers.Data platform strategy and enterprise data architecture.Power ...

premises systems. The role will contribute to the firm’s modern Microsoft-based data and application technology stack, including Microsoft Fabric, Azure services, APIs and reusable automation frameworks.The work you will be doingThe Data Automation Engineer will design, develop and support automated data processes that improve operational … experience:Microsoft Fabric platform architecture and governance.Cloud data platform design and strategic architecture.AI Agents, Microsoft Copilot Studio and agentic AI solutions.Azure AI and Machine Learning technologies.Working closely with AI-focused delivery teams and AI initiatives.Coaching and mentoring junior engineers.Data platform strategy and enterprise data architecture.Power ...

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 ...

Data Science Engineer We are seeking an AI & Data Science Engineer with a strong foundation in Python and a growing interest in machine learning, data processing, and intelligent system design. In addition to hands‐on model development and data work, you will contribute to early‐stage … interpret technical requirements and translate them into actionable tasks. Interest in system‐level thinking and multidisciplinary engineering. Nice to Have Familiarity with deep learning using TensorFlow or PyTorch. Knowledge of data visualisation and dashboarding tools. Experience with system diagrams and interface documentation. Exposure to MLOps, CI/ ...

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 ...

Jobtailor is seeking a senior MLOps leader to implement and evolve production ML/AI platforms on Microsoft Azure. You will coach a compact team of MLOps, Analytics and AI Engineers, and collaborate with Data ...

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 ...

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 ...

Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML). Solid … shape AI security strategy at national scale. An environment that supports experimentation, an engineering-forward approach, and continuous learning. Training, certifications, and learning pathways across AI, Cloud, Security Engineering, and Architecture. This is a place for you... Our ambition is to be the leading UK business for diversity ...

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 ...

governance or AI assurance would be beneficial, particularly around training data quality, provenance, bias, model evaluation, monitoring and risk management. Deep hands-on machine learning experience is not required. Exposure to tools such as Microsoft Purview, Collibra, Alation, Databricks, Microsoft Fabric, Azure 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. ...