2,201 to 2,225 of 4,645 Microsoft-Azure Jobs in England

A solid STEM degree background preferred (but not essential) An enthusiastic, humble approach to learning - and to making things better, every day Cloud, Cross platform (Linux/Windows), Azure, Python, 3D graphics (WebGL/OpenGL) experience all nice to have but not essential Expect to work across a diverse technical landscape. You might contribute to platform architecture, data More ❯

Tooling: Advanced Python proficiency and expertise with frameworks like PyTorch, TensorFlow, Hugging Face, or LangChain. MLOps and Deployment: Experience with containerization tools (Docker, Kubernetes) and workflow management tools (Azure ML Studio, MLFlow). Cloud and AI Infrastructure: Hands-on experience with (preferably Azure) Cloud environments for scalable AI deployment, monitoring, and optimization. Document Processing and knowledge More ❯

event-driven, API-first). Knowledge of integration technologies and platforms (REST, SOAP, message queues). Excellent stakeholder management and communication skills. Experience with cloud platforms (e.g. AWS, Azure, GCP) is highly desirable. Desirable: TOGAF or equivalent architectural certification. Background in Agile/DevOps environments. More ❯

practices Key Skills Required: Good background in data analytics, business intelligence, and strategy implementation. ETL, Data Pipelines Expert in SQL, proficient in Python and BI platforms. Experience with Azure Aptitude in Agile methodologies and working practices Exceptional communication skills for liaising with both technical and non technical stakeholders. Excellent problem-solving abilities and a proactive approach to innovation. More ❯

practices Key Skills Required: Good background in data analytics, business intelligence, and strategy implementation. ETL, Data Pipelines Expert in SQL, proficient in Python and BI platforms. Experience with Azure Aptitude in Agile methodologies and working practices Exceptional communication skills for liaising with both technical and non technical stakeholders. Excellent problem-solving abilities and a proactive approach to innovation. More ❯

event-driven, API-first). Knowledge of integration technologies and platforms (REST, SOAP, message queues). Excellent stakeholder management and communication skills. Experience with cloud platforms (e.g. AWS, Azure, GCP) is highly desirable. Desirable: TOGAF or equivalent architectural certification. Background in Agile/DevOps environments. More ❯

lifecycle and change management processes (ECO/ECN). Experience in a regulated industry is a plus. Familiarity with DevOps practices, SQL databases, and cloud services (AWS/Azure) would also be a bonus. Please get in touch in the first instance with your CV stating salary expectation for further information on the superb opportunity. More ❯

practices Key Skills Required: Good background in data analytics, business intelligence, and strategy implementation. ETL, Data Pipelines Expert in SQL, proficient in Python and BI platforms. Experience with Azure Aptitude in Agile methodologies and working practices Exceptional communication skills for liaising with both technical and non technical stakeholders. Excellent problem-solving abilities and a proactive approach to innovation. More ❯

practices Key Skills Required: Good background in data analytics, business intelligence, and strategy implementation. ETL, Data Pipelines Expert in SQL, proficient in Python and BI platforms. Experience with Azure Aptitude in Agile methodologies and working practices Exceptional communication skills for liaising with both technical and non technical stakeholders. Excellent problem-solving abilities and a proactive approach to innovation. More ❯

practices Key Skills Required: Good background in data analytics, business intelligence, and strategy implementation. ETL, Data Pipelines Expert in SQL, proficient in Python and BI platforms. Experience with Azure Aptitude in Agile methodologies and working practices Exceptional communication skills for liaising with both technical and non technical stakeholders. Excellent problem-solving abilities and a proactive approach to innovation. More ❯

quality tools like SonarQube Comfortable working in Agile teams (Scrum, Kanban, or Lean) Knowledge of common software design patterns Desirable (but not essential): Experience with cloud platforms (AWS, Azure) Familiarity with Docker, Kubernetes , or config tools like Ansible Exposure to machine learning frameworks (e.g., TensorFlow, Amazon ML) Understanding of relational, document, or graph databases What's on Offer More ❯

serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes. Solid coding practices, including Git, automated testing, and CI/CD. Proficiency with Linux environments. Knowledge of time-series analysis is a strong plus. Please note More ❯

serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes. Solid coding practices, including Git, automated testing, and CI/CD. Proficiency with Linux environments. Knowledge of time-series analysis is a strong plus. Please note More ❯

serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes. Solid coding practices, including Git, automated testing, and CI/CD. Proficiency with Linux environments. Knowledge of time-series analysis is a strong plus. Please note More ❯

serving). Familiarity with ML workflow orchestration tools (Airflow, Prefect, Kubeflow) and feature/data platforms (Databricks, Tecton, etc.). Strong experience with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes. Solid coding practices, including Git, automated testing, and CI/CD. Proficiency with Linux environments. Knowledge of time-series analysis is a strong plus. Please note More ❯

the test lifecycle. Creating new test strategies. Follow recognized web standards for security and resilience. Experience in Performance testing and load testing with tools like JMeter. Experience with Azure DevOps project management. Experience of working with SQL Server data. Excellent communication skills and a strong team player. More ❯

Python, TensorFlow, or PyTorch Experience with machine learning algorithms and frameworks Strong understanding of data pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of natural language processing (NLP) and computer vision is a plus Experience 3+ years in AI, machine learning, or data science roles. More ❯

Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries. Independent, self-driven engineers who can own delivery without hand-holding. More ❯

Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries. Independent, self-driven engineers who can own delivery without hand-holding. More ❯

for data processing and backend logic SQL (PostgreSQL/SQL Server) for data querying and pipelines React (TypeScript) for intuitive, modern UIs Exposure to cloud platforms (AWS/Azure), Docker, or streaming tools (Kafka, Spark, etc.) is a plus Ideal Profile: 1-2 years' experience in a commercial software or data engineering role Strong coding skills in Python More ❯

PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for cloud, youll design and manage scalable, multi-cloud environments (AWS, GCP, Azure) and set up the CI/CD pipelines that enable rapid ML experimentation and deployment. The role is full-time, 5 days a week in their London office. What More ❯

building ML Infrastructure and cloud architecture from scratch Key Details: Salary: £100k–£130k (flexible for strong profiles) Working Model: On-site, London Tech Stack: AWS/GCP/Azure, Kubernetes, Docker, Terraform, Python, MLflow/Prometheus/Grafana If you want to shape the backbone of one of Europe’s most ambitious AI startups, we’d love to More ❯

building ML Infrastructure and cloud architecture from scratch Key Details: Salary: £100k–£130k (flexible for strong profiles) Working Model: On-site, London Tech Stack: AWS/GCP/Azure, Kubernetes, Docker, Terraform, Python, MLflow/Prometheus/Grafana If you want to shape the backbone of one of Europe’s most ambitious AI startups, we’d love to More ❯

Strong knowledge of testing frameworks and automation tools. Excellent English communication and problem-solving skills. A self-motivated, adaptable, and collaborative team mindset. Nice to have: Familiarity with Azure DevOps. Experience with micro frontend architecture. Knowledge of state management libraries (e.g., Redux, NgRx). Candidate qualities: Clear communicator Attention to detail Enthusiastic Self-motivated Use own initiative Organised More ❯

IAM architecture. Proven experience leading enterprise-wide IAM transformations and cloud migrations. Strong expertise in OAuth 2.1, OIDC, SAML, SCIM, and identity governance principles. Hands-on experience with Azure AD (AWS/GCP experience a plus), identity lifecycle automation, and privileged access solutions. Knowledge of DevOps integration, identity-as-code, policy-as-code (OPA/Rego), and GitOps. More ❯