26 to 50 of 55 Azure Machine Learning Jobs in England

Group is recruiting a Senior Azure AI Engineer (Contract) to lead the design, development, and deployment of next-generation Agentic AI solutions built on Microsoft Azure AI Foundry . This is a hands-on engineering role, ideal for someone passionate about building secure, compliant, and scalable AI systems that drive real operational value. You … be part of a collaborative team shaping how AI is adopted across a national-level environment. Key Responsibilities Design, develop, test, and deploy Agentic AI solutions on Microsoft Azure AI Foundry. Build and optimise AI pipelines , orchestration, and observability frameworks. Ensure solutions meet security, governance, and compliance standards. Collaborate with cross-functional teams to align AI projects … Essential Skills & Experience Proven experience developing AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance, observability , and responsible AI frameworks. Excellent communication More ❯

months of graduation, we’ll refund 100% of your fees. What You’ll Gain - Hands-On Skills: Excel, SQL, Python, Power BI, Azure AI, Machine Learning - Industry Certifications: CompTIA Data+, Microsoft Power BI (PL-300), Azure AI Fundamentals (AI-900) - Real Projects: Work on real-world data challenges to showcase More ❯

gaming and film create and interact with 3D content. They are seeking an ML & Cloud Infrastructure Engineer to design and maintain the scalable infrastructure that powers cutting-edge machine learning workloads and production systems. This is a chance to work at the forefront of AI innovation in 3D technology, with huge scope to shape the platform … and practices in a fast-moving startup environment. The role will involve: Building and maintaining scalable cloud infrastructure (AWS, GCP, Azure) for ML workloads and APIs Setting up ML nodes for distributed training and local development Managing containerised environments (Docker, Kubernetes, Terraform) Optimising storage for big data pipelines supporting ML workloads Monitoring systems and responding to incidents … 6+ years' experience in cloud engineering, ideally with ML-related workloads Proficiency in scripting (Bash, PowerShell, Python) Start-up/Scale-up Experience Strong cloud skills (AWS, GCP, Azure) and containerisation (Docker, Kubernetes) Experience in automating deployments and orchestrating cloud environments Nice to have: Python (Jupyter, PyTorch), monitoring tools (Prometheus, Grafana), cloud databases (RDS, Aurora, Spanner), CI More ❯

degree in life sciences, computer science, or a related field Experience with Agentic AI frameworks and tools (e.g., LangGraph, CrewAI, AutoGen) Familiarity with cloud native-AI infrastructure (e.g., Azure ML, AWS Bedrock, Snowflake) Prior experience in building AI products for clinical development or healthcare analytics RDSITAI IQVIA is a leading global provider of clinical research services, commercial More ❯

rapidly and tested prototypes prior to deployment Track record with front-end (React, Unity, WebGL, Android, iOS, React), back-end (Kotlin, REST, AWS, PHP8/Symfony4, AWS/Azure), AI, ML, web Past experience as a hands-on software engineer, ideally on Back End … systems Ability to take concepts from vision to technical solutions working with business, technical, management, and subject matter experts to deliver products or platform capabilities Experience with applying machine learning solutions to real world problems, ideally around natural language processing Proven track record of building and leading high-performance technology teams, and an ability to attract More ❯

involves the following engineering disciplines : Cloud Engineering Data Engineering (not building pipelines but designing and building the framework) DevOps MLOps/LLMOps Often work with the following technologies : Azure … AWS, GCP Airflow, dbt, Databricks, Snowflake, etc. GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code MLflow, AzureML or similar for MLOps; LangSmith, Langfuse and similar for LLMOps The difference to our "AI Engineer" role is: Do you "use/consume" these technologies, or are you the one More ❯

Excellent communication skills — able to talk equally well to engineers, execs, and enterprise customers Bonus points for Experience with AI/ML platforms like SageMaker, Vertex AI, or Azure ML Background in MLOps, agent-based systems, or orchestration tooling Knowledge of ESG, carbon tracking, or UK/EU data regulations Exposure to early-stage product development in More ❯

Excellent communication skills — able to talk equally well to engineers, execs, and enterprise customers Bonus points for Experience with AI/ML platforms like SageMaker, Vertex AI, or Azure ML Background in MLOps, agent-based systems, or orchestration tooling Knowledge of ESG, carbon tracking, or UK/EU data regulations Exposure to early-stage product development in More ❯

Excellent communication skills — able to talk equally well to engineers, execs, and enterprise customers Bonus points for Experience with AI/ML platforms like SageMaker, Vertex AI, or Azure ML Background in MLOps, agent-based systems, or orchestration tooling Knowledge of ESG, carbon tracking, or UK/EU data regulations Exposure to early-stage product development in More ❯

Excellent communication skills — able to talk equally well to engineers, execs, and enterprise customers Bonus points for Experience with AI/ML platforms like SageMaker, Vertex AI, or Azure ML Background in MLOps, agent-based systems, or orchestration tooling Knowledge of ESG, carbon tracking, or UK/EU data regulations Exposure to early-stage product development in More ❯

Excellent communication skills — able to talk equally well to engineers, execs, and enterprise customers Bonus points for Experience with AI/ML platforms like SageMaker, Vertex AI, or Azure ML Background in MLOps, agent-based systems, or orchestration tooling Knowledge of ESG, carbon tracking, or UK/EU data regulations Exposure to early-stage product development in More ❯

architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security … models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data More ❯

architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security … models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data More ❯

architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security … models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data More ❯

architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security … models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data More ❯

architects to define scalable, secure, and cost-efficient AI service architectures. Implement AI/ML pipelines for training, validation, and deployment using tools like MLflow, Vertex AI, or Azure ML. Monitor model performance, detect drift, and drive continuous improvement. Optimize inference performance and cost through model compression, quantization, and API optimization. Ensure compliance with AI ethics, security … models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data More ❯

/5, Claude, Gemini, Mistral, LLaMA, Cohere). Experiment with advanced prompting techniques; Chain-of-Thought, ReAct, Tree-of-Thoughts, and more. Deploy AI/ML pipelines using Azure ML, AWS SageMaker, Vertex AI, or Databricks. Integrate LLMs into production apps using LangChain, LlamaIndex, and RAG architectures. Build APIs and microservices for scalable AI deployment. Use AI … ML or related field. Tech Stack LLMs: GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere Frameworks: LangChain, LlamaIndex, Haystack Tools: GitHub Copilot, Cursor, PromptLayer, Weights & Biases Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks Infra: Python, Docker, Kubernetes, SQL, PyTorch More ❯

Azure AI Engineer £450/day outside IR35 London-based - twice a week on-site 6 month initial contract Working with a financial services client who are looking to build a new AI/ML function. Looking for a MLOps Engineer to design, develop and implement AI and ML applications. Will require working cross-functionally to conceptualise … design, test and deploy AI projects. Azure AI/ML Engineer, key responsibilities: Build, develop and deploy AI applications using Python Design and Develop AI services Setup and develop data ingestion pipelines and components Develop search related components using Azure AI Search Developing and deploying AI/ML models Built and maintain scalable, high … performance AI apps on Azure Create and maintain secure AI platform Collaborate cross-functionally to understand requirements Azure AI Engineer, Azure ML, Python Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people More ❯

Azure AI Engineer £450/day outside IR35 London-based - twice a week on-site 6 month initial contract Working with a financial services client who are looking to build a new AI/ML function. Looking for a MLOps Engineer to design, develop and implement AI and ML applications. Will require working cross-functionally to conceptualise … design, test and deploy AI projects. Azure AI/ML Engineer, key responsibilities: Build, develop and deploy AI applications using Python Design and Develop AI services Setup and develop data ingestion pipelines and components Develop search related components using Azure AI Search Developing and deploying AI/ML models Built and maintain scalable, high … performance AI apps on Azure Create and maintain secure AI platform Collaborate cross-functionally to understand requirements Azure AI Engineer, Azure ML, Python Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people More ❯

Hybrid 6 Months My client is an instantly recognisable Insurance brand who urgently require a Data Architect with expertise in Data Vault, Data Modelling, Data Engineering Design, strong Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI), Snowflake and Enterprise scale Data Sources to join a business-critical … Modelling experience (especially Conceptual Data Models) Demonstrable background in Data Engineering Design processes (ETL, ELT), with good knowledge of Data Vault, Inmon and Kimball Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven experience with Snowflake Architecture, including DevOps integration and CI/ More ❯

Hybrid 6 Months My client is an instantly recognisable Insurance brand who urgently require a Data Architect with expertise in Data Vault, Data Modelling, Data Engineering Design, strong Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI), Snowflake and Enterprise scale Data Sources to join a business-critical … Modelling experience (especially Conceptual Data Models) Demonstrable background in Data Engineering Design processes (ETL, ELT), with good knowledge of Data Vault, Inmon and Kimball Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven experience with Snowflake Architecture, including DevOps integration and CI/ More ❯

Data Solution Architect - Conceptual Data Models, Data Vault 2.0, Azure Up to £800 per day (Inside IR35) London/Hybrid 6 Months My client is an instantly recognisable Insurance brand who urgently require a Data Solution Architect with expertise in Conceptual Data Modelling, Solution Architecture specifically within Data, exceptional stakeholder management skills and experience of implementing Data … working on large, complex Data Programmes Strong experience of Conceptual Data Models (leading/managing/maintaining/uplifted/improving Conceptual Data Models) Strong knowledge of MS Azure stack (including Data Factory (ADF), Data Lake Storage, SQL, Azure ML and Power BI) Proven experience with Snowflake Architecture, including DevOps integration and CI/ More ❯

an AI Engineer to join their specialist AI team. This is a technically challenging role where you will lead the design and deployment of Generative AI applications using Azure AI Foundry and related services. You will be part of a collaborative team that values curiosity, technical excellence and continuous learning. In this role, you will be responsible … for: Designing and deploying scalable Generative AI solutions using Azure AI Foundry, Azure OpenAI and Azure ML. Collaborate with clients to define use cases and translate business needs into technical solutions. Building and implementing RAG pipelines and fine-tuning models. Presenting technical concepts to both technical and non-technical stakeholders. Contributing More ❯

datasets and self-service analytics across teams. Collaborate with BI, Engineering, and business stakeholders to enhance analytics delivery. Leverage cloud platforms and modern pipeline tooling (e.g., Snowflake, Databricks, Azure, AWS). ML/AI Strategy & Execution: Lead the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications … yourself or your community Cycle-to-work Scheme Future Planning Pension scheme with employer contributions Life Assurance - 3X base salary Rewards Program - access to discounts and cashback LinkedIn Learning License for upskilling & development Interested but don't feel you meet all the requirements? Our recruitment team assesses and reviews all applications against the role and business needs. We More ❯

If you are an SC Cleared Azure Engineer with a focus on Azure AI, we have a new contract we would like to discuss with you. Please note this role is inside … IR35, requires onsite attendance once a week and can only consider candidates with current/live SC Clearance. Job Spec: Proven extensive experience developing AI solutions on Microsoft Azure AI Foundry and Microsoft Azure ML Studio. (LEAD) Understanding of data science concepts, AI/ML models, automation workflows, and agentic orchestration to enhance business … processes. (LEAD) Experience designing and deploying Agentic AI solutions leveraging orchestration, pipelines, and observability on Microsoft Azure AI Foundry. (LEAD) Experience applying Generative AI, NLP, and prompting techniques. Strong understanding of AI governance, observability, and compliance frameworks. Excellent communication and presentation skills. More ❯