26 to 50 of 194 Azure Jobs in Slough

with strategic leadership, offering the opportunity to define the data vision and enable meaningful business transformation. Key Responsibilities Lead the design and implementation of a modern cloud data platform (Azure, AWS, or GCP). Develop ETL/ELT pipelines to manage structured and unstructured data at scale. Enable self-service BI and deliver insights through Power BI dashboards and More ❯

with SQL and NoSQL databases, including PostgreSQL, Redis, or MongoDB Solid understanding of containerised microservice infrastructure Working knowledge of Kubernetes, security best practices, and cloud platforms (AWS, GCP, or Azure) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based More ❯

Proficiency in React and modern JavaScript/TypeScript. Solid understanding of microservices architecture, RESTful APIs, and service-to-service communication. Experience working with cloud infrastructure (e.g. AWS, GCP or Azure). Strong grasp of software engineering fundamentals: testing, documentation, performance, reliability. Excellent communication and collaboration skills: you're comfortable working cross-functionally with engineers, designers, and product managers. A More ❯

Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply More ❯

and movies, generate and interact with 3D content. Responsibilities: Develop high-performance, cloud-based systems for ML training and API serving Manage and optimize infrastructure on AWS, GCP, or Azure; support local and distributed ML workflows Configure servers, monitor performance, and optimize storage for large-scale ML data Use Docker, Kubernetes, and Terraform to deploy and scale applications Collaborate More ❯

and encryption techniques. Knowledge of integration with enterprise systems, APIs, cloud services, and data pipelines. Hands-on experience with DevOps, containerization, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP) for blockchain deployment. Strong experience in solution architecture, technical leadership, and mentoring of engineering teams. Excellent communication, stakeholder management, and problem-solving skills with the ability to translate More ❯

technical teams essential Experience of deep analysis gaining actionable insight from often unstructured large datasets Experience working with machine learning models. Experience with mainstream cloud platforms such as AWS, Azure, or GCP preferred An understanding of CI/CD pipelines, Docker and associated orchestration tools preferred Need to be SC clearable (5 years in the UK without leaving for More ❯

of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial datasets. Familiarity with cloud platforms (Azure/AWS/GCP) is an advantage. Knowledge of pensions, asset management, or wider financial services industry. Strong problem-solving, analytical, and communication skills — able to translate data into More ❯

Engineer or SRE within an HFT, low latency or web scraping environment You have strong bash or Python scripting skills You have multi-cloud experience (AWS and/or Azure preferred) You have a strong knowledge of Linux You have experience with forward proxy tools e.g. Squid You have experience of managing third party vendors You're collaborative and More ❯

and other engineers to ship high-impact features Ensuring scalability, performance, security, reliability and maintainability across the full stack Contributing to cloud infrastructure setup and optimisation (AWS, GCP or Azure), containerisation, deployment pipelines, monitoring and optimisation Implementing CI/CD pipelines, automated testing, monitoring, and related DevOps practices Mentoring junior engineers and helping improve engineering practices across the team More ❯

understanding of Docker or equivalent solutions Microservice Patterns: Experience architecting microservice-based systems with built-in observability and security Cloud Services & Environments Cloud Providers: Demonstrable experience with AWS or Azure Security & Configuration: Ability to build, configure, and secure cloud environments effectively Security & CI/CD Security Integration: Familiarity with embedding security checks at every phase of the SDLC (e.g. More ❯

advancements in data analytics. Skills required: • Experience in a fast-paced business environment, working alongside commercial teams. • 5+ years of experience with analytical tools such as Power BI and Azure Data Studio. • Strong data analysis skills with advanced Excel expertise. • Proven experience with SQL and Python. • Ability to translate large datasets into actionable insights. • Strong communication skills, with the More ❯

Technical Product Manager role, preferably in a B2B SaaS or AI/ML company. Hands-on experience with AI/ML concepts, data science workflows, and cloud platforms (AWS, Azure, GCP). Proven ability to design and deliver compelling POCs and technical demonstrations. Excellent presentation, whiteboarding, and written communication skills. Ability to travel up to 30% for client meetings More ❯

and inference. Programming languages: Proficiency in Python using PyTorch/TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply More ❯

Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply More ❯

Support Analyst – Dynamics 365 F&O, D365 F&O, Dynamics AX2012, D365FO Support, D365 FO Support, Dynamics AX Support Analyst, D365 Support, AX Support, AX Support Analyst, Finance, AX2009, Azure DevOps, SQL, D365 Analyst, Support Analyst, AX 2009, AX2012 – London – Hybrid - Permanent - £40-50k plus package Our leading global end user client are actively looking for a D365 More ❯

ML Infrastructure and cloud architecture from scratch Key Details: Salary: £100k–£180k (flexible for strong profiles) + equity 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 ❯

to non-technical audiences. Experience producing clear visual documentation (data flows, wireframes, models) to support analysis and delivery. Familiarity with modern delivery and collaboration tools (e.g., Miro, Test Monitor, Azure DevOps, Jira, Confluence). Hybrid working model, 2 days in the London office. If this role sounds like you or if you are interested in other Data Business Analyst More ❯

BI tools (Power BI, Tableau, Looker). Comfortable working with APIs, data pipelines and collaborating with developers. Excellent communication and stakeholder management skills. Desirable: Exposure to cloud environments (AWS, Azure, GCP). Experience with underwriting workbenches or no-code model deployment tools. London Market or specialty insurance experience. Why Apply?: Join one of the most exciting growth stories in More ❯

Windows Server administration (e.g. Active Directory, Group Policy, DNS, DHCP, file/print services). Hands-on experience with virtualization technologies (e.g. VMware, Hyper-V, VDI) and cloud (e.g. Azure, AWS). Strong understanding of enterprise security and compliance requirements in modern Windows environments. Automate everything: using PowerShell or your language of choice to eliminate toil and fix issues More ❯

such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience with relational databases and data processing and query engines (Spark, Trino, or similar). Familiarity with monitoring, observability, and alerting systems for production ML (Prometheus, Grafana, Datadog More ❯

Skills Startup Mindset: Bias for action, ownership, comfort with ambiguity Backend Development: Python (FastAPI, Flask) + microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data modeling Containers: Docker; orchestration tools Infra as Code: Terraform, CloudFormation Monitoring: Prometheus, Grafana, ELK Security & Compliance More ❯

CMMC Principal Cloud Security: 4+ years of experience performing cloud security advisement and risk assessments based upon industry-accepted standards Hands-on experience with a cloud hosting provider (AWS, Azure, GCP, etc) Experience with a Cloud Application Security Broker - MCAS, Netskope Possess a deep technical knowledge in CASBs, Cloud Platforms and the dependencies around such an environment (WAF, SSO More ❯

teams within the business to bring products to life. The Role Should own the Architecture responsibility (end to end), Designing complex On premises and cloud solution. Overall governance of Azure Infrastructure and Platform. Design and Architecture knowledge for Azure Landing zone. Closely working on IAAS and Platform projects aligned with different support teams, Technical Architect, Security Team, Service … Manager through a DevOps board. Management of Azure Landing Zone subscription hosting Infrastructure components. Migration of Application Workload from Legacy Management group and Subscriptions to Azure Landing Zone management group and subscriptions. Deliver Server using CIS hardened image for 2019/2022, App Services, SQL Managed Instance, SQL Database Server. Ensure high availability of services. Deliver secure way … internet and print functionality. Closely working with Lead Architect, Technical Architect to review the design and implement resources based on the approved design. Third party vendor Management mostly Microsoft Azure Support. Working with TAM and dedicated Solution Architect to ensure new features and updates are discussed and implemented based on requirement. Working with many different support organizations carrying out More ❯

Cloud Platform Developer 12 Month Contract Hybrid 1-2 Days per week in London One of our Banking Clients in London are seeking a Azure Containerisation specialist for a Cloud Project. Key Skills & Experience Required: Minimum 4 years of hands-on experience with container technologies, particularly within Microsoft Azure. Proven expertise in Azure Kubernetes Services (AKS), Azure Container Instances (ACI), and Azure Container Apps (ACA). Strong background in automation and monitoring, using tools such as GitLab CI, Kubecost, Azure DevOps, and other relevant technologies. Experience designing and implementing secure, scalable container solutions in Azure, leveraging tools like Microsoft Entra ID, Azure CLI, and AKS. Familiarity with Azure Cosmos DB APIs More ❯