51 to 75 of 125 Azure Machine Learning Jobs in England

practice focuses on helping clients control their data, turn it into actionable insights, and better leverage it through the use of AI and Machine Learning solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/… scale. Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering: End-to-end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. ...

data integration and relational platforms* Proven experience designing highly available Hybrid and Multi-Cloud architectures (Azure & AWS).* AI & Machine Learning Exposure: Experience designing architectures that support AI/ML workloads, including integrating Large Language Models (LLMs), predictive analytics, and vector search into … NFRs) such as scalability, maintainability, performance, latency, and security.**AI Strategy & Adoption*** AI Architecture Roadmap: Lead the architectural design for integrating AI and Machine Learning capabilities (including Generative AI) into existing and new enterprise products.* AI Governance & Security: Establish secure guardrails, data privacy controls, and ethical ...

automating manual processes across the business, and you'll be working directly with underwriters and the actuarial team throughout. Stack is Python and Azure, with a strong emphasis on engineering and MLOps standards. There's also scope to bring generative AI into the roadmap. You'll coach … standard, with object oriented design, testing and code review as standard practice Models you've personally taken into production and supported in life Machine learning across the usual toolkit: scikit-learn, pandas, NumPy, statsmodels or similar MLOps and CI/CD in practice. Pipeline orchestration, model ...

Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field — or equivalent professional experience.· Strong knowledge of generative AI, machine learning, deep learning, natural language processing and other relevant AI fields.· Proven track record of designing, developing, and deploying AI systems … Jira and Confluence.· Exceptional leadership and communication skills, with the ability to convey complex technical concepts to diverse audiences.· Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous.· Professional accounting qualification preferred, however not a requirement. Why Audit at KPMG Audit ...

data integration and relational platforms. Proven experience designing highly available Hybrid and Multi-Cloud architectures (Azure & AWS). AI & Machine Learning Exposure: Experience designing architectures that support AI/ML workloads, including integrating Large Language Models (LLMs), predictive analytics, and vector search into … NFRs) such as scalability, maintainability, performance, latency, and security. AI Strategy & Adoption AI Architecture Roadmap: Lead the architectural design for integrating AI and Machine Learning capabilities (including Generative AI) into existing and new enterprise products. AI Governance & Security: Establish secure guardrails, data privacy controls, and ethical ...

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 ...

easily simplify complex concepts for senior decision‐makers Strong technical command of modern cloud infrastructure (GCP, AWS, Azure) and machine learning concepts A "hacker mindset" with a strong engineering foundation: you are a creative problem‐solver who builds robust, scalable, and efficient scripts … cloud platform (GCP, AWS, or Azure), including data storage, compute, and deployment patterns common in ML workflows Solid understanding of machine learning concepts and the ML development lifecycle — from data preparation and annotation through model training, evaluation, and deployment Demonstrated ability to lead ...

quality, and resilience patterns are consistently applied across services. People LeadershipLead and mentor a team of SRE engineers, fostering a culture of ownership, learning, and engineering excellence. Drive career development, performance management, and technical capability growth across the team. Collaborate with HR and Talent teams to build local … including: Azure SQL, Cosmos DB, Application Gateway, Key Vault, Storage, DNS, Load Balancer, Virtual Machines, Azure Machine Learning, SentinelAWS Lambda, ECS, RDS, CloudWatchStrong understanding of SRE principles (SLOs, SLIs, error budgets, incident response).Hands-on experience with container orchestration (Kubernetes ...

ranking quality, and knowledge graph aware retrieval while enforcing content rights and 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 … MLOps platforms, shipping ML or search/GenAI systems to production. Strong Python, Java, and/or Scala engineering Experience with statistical analysis, machine learning theory and natural language processing Hands on experience with major cloud vendor solutions (AWS, Azure and/ ...

insights.* Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices.* Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory.* Azure Data … data lakes on AWS S3 to store and process both structured and unstructured data sets* Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights.* Monitor and optimize data pipelines and infrastructure: Analyze ...

About the Senior Data Scientist Role The Senior Data Scientist is a hands-on technical role responsible for designing, building, and shipping the machine learning models that drive commercial performance across the group. This role takes business problems through the full lifecycle - framing the problem, exploring … decisions, and helps raise the standard of how the team works. What You’ll Do Build & Deliver Impactful Solution Design, build, and ship machine learning models that address real commercial problems, taking ownership of the work frominitialframing through to a validated solution in production. Work closely ...

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 ...

About the role The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning solutions are robust, scalable, and cost-efficient. We enable teams to solve problems using existing AI tools where possible and build custom solutions … Hands‐on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud‐native AI/ML platforms (e.g. AWS SageMaker, AzureML) and agent orchestration frameworks (e.g. LangChain, LangGraph, ADK). Solid understanding of MLOps – CI/CD, IaC (Terraform), experiment tracking, model registry, and monitoring. Proven ...

experienced AI Security Engineering Lead to design and deliver the secure engineering patterns, controls, and tooling that protect our AI and machine learning systems. This is a hands‐on technical leadership role, where you will take ownership of complex problem spaces and lead through engineering expertise. … 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 ...

experienced AI Security Engineering Lead to design and deliver the secure engineering patterns, controls, and tooling that protect our AI and machine learning systems. This is a hands-on technical leadership role, where you will take ownership of complex problem spaces and lead through engineering expertise. … 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 ...

experienced AI Security Engineering Lead to design and deliver the secure engineering patterns, controls, and tooling that protect our AI and machine learning systems. This is a hands-on technical leadership role, where you will take ownership of complex problem spaces and lead through engineering expertise. … 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 ...

APIs and business systems Working with structured and unstructured data Taking AI applications from prototype through to production Developing and deploying solutions within Azure Improving the performance, reliability and scalability of existing AI applications Working with software engineers and stakeholders to identify where AI can add genuine … based application development CI/CD and modern software engineering practices Experience with technologies such as Microsoft AI Foundry, Azure Machine Learning or similar AI platforms would be particularly useful, but isn't essential. The key thing I'm looking for is someone ...

programming skills, software design patterns/best practices and practical experience applying TDD. Experience with Cloud services (AWS or Azure), Machine Learning, CI/CD and Containers would be standout. Crucially we need Engineers who have taken ownership in projects. What ...

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 doing The Data Automation Engineer will design, develop and support automated data processes that … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 doing The Data Automation Engineer will design, develop and support automated data processes that … 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 ...

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 doing The Data Automation Engineer will design, develop and support automated data processes that … 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 ...