176 to 200 of 961 Azure Jobs in the Thames Valley

or C++, and Python Experience with data processing systems and SQL databases Git proficiency and collaborative working approach Bonus points for: Agile experience, Linux familiarity, cloud platforms (AWS/Azure), CI/CD, or exposure to hardware integration and machine learning. Who Thrives Here You're curious, detail-oriented, and enjoy tackling diverse technical challenges. You write clean code More ❯

OpenCV, NumPy, Pandas Experience With: Model training, tuning, and deployment in production environments Preferred: Sports data analytics, time-series forecasting, or computer vision experience Infrastructure: AWS/GCP/Azure, Docker, Kubernetes, MLflow, CI/CD pipelines Bonus: Experience with wearable/sensor data, player tracking, or sports video analytics TO BE CONSIDERED... Please apply directly by emailing jordanna.ramsey More ❯

Business Domain Knowledge More than 5 years of experience in Big Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working More ❯

or C++, and Python Experience with data processing systems and SQL databases Git proficiency and collaborative working approach Bonus points for: Agile experience, Linux familiarity, cloud platforms (AWS/Azure), CI/CD, or exposure to hardware integration and machine learning. Who Thrives Here You're curious, detail-oriented, and enjoy tackling diverse technical challenges. You write clean code More ❯

the IT team and the wider business. Essential and Proven Technical Experience & Skills Windows 11 migration Autopilot (Hybrid Joined) Intune Defender for Endpoint Bit Locker SCCM Active Directory/Azure EntraID Desirable Technical Experience & Skills Ivanti Intune App Packaging M365 (Office Apps) PowerShell/Scripting Main Responsibilities: Accepting, prioritising and resolving Project defined tasks within agreed timeframes Provide support 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 ❯

are fit for purpose, cost effective and will scale as we do. Work with a diverse range of technologies including but not limited to: Virtualization, Infrastructure as Code, AWS, Azure, Containers, Kubernetes, Linux, RHEL, PostgreSQL, Monitoring and Cybersecurity. You will build new servers/systems as well as ensure that all our existing ones are maintained, reliable and resilient More ❯

are fit for purpose, cost effective and will scale as we do. Work with a diverse range of technologies including but not limited to: Virtualization, Infrastructure as Code, AWS, Azure, Containers, Kubernetes, Linux, RHEL, PostgreSQL, Monitoring and Cybersecurity. You will build new servers/systems as well as ensure that all our existing ones are maintained, reliable and resilient More ❯

and JavaScript (ES6+). Experience with TypeScript and modern development tools and practices. Experience of Test Driven or Behaviour Driven Development. Knowledge of Cloud development and serverless architectures (AWS, Azure, Google Cloud). Familiarity with CI/CD pipelines and DevOps practices. If you’re ready to take the next step in your career and thrive in a fast 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 ❯

Oracle, MS SQL Server). Knowledge of system integration with trading platforms such as FXall, FXGO, GPS, and TradePoint. Experience with agile delivery tools such as JIRA, Confluence, and Azure DevOps. Package: Initial 6-month contract £650 p/day inside IR35 Hybrid (2x week in London More ❯

LangChain, LlamaIndex, AutoGen, CrewAI) ● Proven track record designing scalable AI architectures (RAG, Graph RAG, multi-agent systems) ● Experience with vector databases (Pinecone, Weaviate, FAISS) and major cloud platforms (AWS, Azure, GCP) ● Strong foundation in MLOps/LLMOps and Agile delivery ● Excellent leadership, communication, and stakeholder engagement skills ● 10+ years’ experience in AI/ML, including senior solution architecture or More ❯

for security, resilience, and scalability, underpinned by automated testing and continuous improvement. Proficient with CI/CD pipelines, Infrastructure as Code (preferably Terraform), and public cloud technologies including AWS, Azure, or GCP. Why Join You’ll be joining a business that values innovation, collaboration, and technical excellence. This is a chance to work in a high-impact environment where More ❯

and code reviews Mentoring junior engineers (for senior roles) and helping set the technical direction of the team Tech environment: Node.js, TypeScript, React Cloud: GCP preferred, but AWS or Azure also fine Event-driven microservices Modern CI/CD (CircleCI, ArgoCD), Docker, Kubernetes, Terraform Postgres, Pub/Sub, BigQuery React Native (bonus, not required) Why this role is exciting More ❯

Highly Valued Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline Research publications in leading AI/ML conferences Cloud platform experience (AWS, GCP, Azure) with production ML deployment Experience with enterprise-scale data engineering and workflow orchestration tools What Our Client Offers Competitive salary package, comprehensive private healthcare, and exceptional benefits in a More ❯

Experience working with JavaScript frameworks such as React, Redux , Vue, Backbone, or Angular. Experience deploying software to at least one of the leading cloud computing platforms (i.e., GCP, AWS, Azure) Understanding of SQL and NoSQL databases Proficiency in object-oriented programming , data structures , algorithms and web application development . More ❯

logic , and capacity constraints . Familiarity with API-based orchestration between OMS, SIP, and external fulfilment/inventory systems. Exposure to containerised deployments (Docker/Kubernetes) and cloud hosting (Azure or AWS). Understanding of monitoring, alerting, and observability tools (e.g. New Relic, PagerDuty). Experience with agile delivery and collaboration across distributed teams. Why Join Competitive daily rates More ❯

platform or developer-focused products. Deep understanding of cloud computing, infrastructure-as-code, DevOps tooling , and data/AI platforms. Hands-on experience with one or more of: AWS, Azure, GCP, Kubernetes, Terraform, Databricks, or Vertex AI . Proven ability to collaborate with engineering and research teams to align platform capabilities with end-user needs. Skilled in stakeholder management More ❯

for ML applications Proven track record deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch) Practical experience working with cloud infrastructure (e.g., AWS, Azure, GCP) and a good understanding of architecture, security, and scaling Hands-on experience with Docker and Kubernetes in real-world engineering workflows Solid grasp of ML fundamentals: supervised/ More ❯

experience) in Computer Science, Software Engineering, or a related field. Brings expertise in enterprise architecture, data governance, and cybersecurity. Lives and breathes modern platforms and practices, think AWS/Azure, DevOps, Terraform, Git. Background coding in HTML, JavaScript, and SQL when needed, but also thinks big picture. Has experience leading teams, managing risk, and delivering under pressure. Knows how More ❯

on expertise in model development, optimisation, and deployment. Deep understanding of ML Engineering and MLOps principles (cloud-based pipelines, CI/CD, monitoring, reproducibility). Experience with Python, SQL & Azure (AWS & GCP is also fine). Exposure to GenAI or LLM tools and frameworks is a strong advantage. Strategic thinker with the confidence to lead technically and shape the More ❯

of supply chain and associated data, e.g. procurement, manufacturing, logistics Good experience in working with data (Python/PySpark/Databricks) in a cloud-based data systems environment (ideally Azure). Experience in developing using agile software development methodologies, principles such as DevOps, CI/CD, and unit testing. Comfortable working both by themselves and in a team setting. More ❯

core Go requirement. Strong, demonstrable experiefnce with real-time, low-latency data processing. You obsess over milliseconds and understand the trade-offs. Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker). Deep understanding of API design (REST, gRPC, Webhooks) and API security (OAuth 2.0, mTLS, JWTs). Knowledge of (or deep, demonstrable curiosity about More ❯

Web based developer Javascript/HTML/CSS in an IIS environment SQL Server knowledge including Stored Procedures and Indexing. Windows Knowledge. Strong problem solving skills. Desirable Technical Skills: Azure Dev Ops knowledge. SOLR knowledge would be beneficial. Linux skills would be beneficial. Previous experience in a support and development role. Exposure to App development on iOS and Android More ❯