101 to 125 of 1,004 Azure Jobs in London

ensure the platform remains secure, observable, compliant, and cost-effective while supporting fast-moving development teams. Technical Skills: Strong experience with cloud infrastructure (Azure or AWS) Terraform CI/CD tooling such as GitHub Actions Containerised workloads using Docker and Kubernetes Observability tooling and best practices Experience operating production ...

Software Developer: Proven experience as a Technical Lead or Senior engineer Strong software engineering and system design background Experience delivering enterprise applications on AWS, Azure or GCP Proficiency in JavaScript, Java or .NET Agile delivery experience (Scrum/Kanban) Knowledge of DevOps, CI/CD, infrastructure-as-code ...

experience with Databricks, Delta Lake, Spark, and preferably dbt. Python for data manipulation and automation. Familiarity with BI tools (Power BI) and cloud platforms (Azure). Understanding of data governance, CI/CD pipelines, and analytics best practices. Excellent problem-solving, communication, and stakeholder engagement. Why Join: Contract opportunity ...

security controls Contributing to engineering standards and secure DevOps practices Delivering robust, cloud-based data solutions at scale Tech Environment Python, SQL, Spark AWS, Azure, or GCP Databricks, Snowflake Modern data lake and warehouse architectures Automation and DevOps tooling Requirements Active DV clearance, mandatory Strong experience building production data ...

data science , machine learning, and predictive modelling. Background in data engineering (ETL pipelines, streaming tech like Kafka). Familiarity with cloud platforms (AWS, Azure, GCP). Excellent communication skills for technical and non-technical stakeholders. Exposure to financial services or willingness to learn fixed income and electronic trading. Typically ...

reporting tools (Crashlytics), and user feedback loops. * Understanding of mobile security best practices, GDPR compliance, and accessibility standards. * Experience using backlog management tools like Azure DevOps or Jira. * Familiarity with Agile methodologies such as Scrum and Kanban and working in cross-functional product teams. If you are a Senior ...

leading analysts Desirable: Experience in education, partnerships, or complex commercial environments Exposure to CRM reporting (e.g. Salesforce) Experience with cloud-based data platforms (e.g. Azure, Snowflake, BigQuery) What Will Make You Stand Out Proven track record of influencing strategic decisions through insight Experience leading BI migration or reporting modernisation ...

Collaborate closely with engineering, analytics, and risk teams Continuously improve platform reliability, security, and performance Tech Stack Infrastructure as Code: Terraform Cloud Platforms: AWS, Azure Programming Languages: Python, Rust Databases: Postgres, ClickHouse Required Skills & Experience Strong analytical background (typically a degree in Mathematics, Physics, Computer Science, Engineering ...

Strong background working in a cloud-native data platform Hands-on experience with Google Cloud Platform is highly preferred, with consideration for AWS or Azure alongside some GCP Experience with Terraform, Docker and dbt Strong expertise in Data Lake/Data Warehouse solutions Advanced SQL and Python skills Proven ...

Agent Developeer Kit and working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.) Experience with DevOps ...

Agent Developeer Kit and working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.) Experience with DevOps ...

responsive design principles Strong understanding of Back End technologies and best practices Passion for writing clean, well-tested code Experience with cloud platforms (AWS, Azure, or GCP) Excellent communication skills and the ability to explain technical ideas clearly A mindset focused on scalability, maintainability, and continuous learning Must ...

environment. Strong background in data engineering and analytics – no need to code. Experience scaling data platforms in a cloud-native environment (AWS, GCP, or Azure). Deep understanding of modern data stacks (e.g. Snowflake/BigQuery/Redshift, dbt, Airflow, BI tools. Comfort operating at both strategic and hands ...

modern styling libraries; •work with XML and JSON for data exchange and integration across systems; •implement and maintain CI/CD pipelines, source control (Azure DevOps preferred), and automated testing; •integrate with APIs and third-party services using RESTful APIs, JSON, and XML-based protocols; •develop and maintain components ...

using Node.js. Proven ability in UI development and CSS styling libraries. Working knowledge of RESTful APIs and frontend-backend integration. Exposure to cloud platforms (Azure, AWS, or GCP). Understanding of CI/CD pipelines and testing practices (TDD). Desirable Skills Python and FastAPI for backend development. Experience ...

event-based integrations where appropriate. Ensure consistent master data management across properties, leases, tenants, and financials. Support cloud and SaaS-based architectural approaches (Azure/AWS preferred). Stakeholder & Delivery Collaboration Partner with Real Estate Asset Managers, Investment Teams, Finance, Property Operations, and Technology Delivery teams . Translate business ...

using Node.js. Proven ability in UI development and CSS styling libraries. Working knowledge of RESTful APIs and frontend-backend integration. Exposure to cloud platforms (Azure, AWS, or GCP). Understanding of CI/CD pipelines and testing practices (TDD). Desirable Skills Python and FastAPI for backend development. Experience ...

pipelines, feature engineering, and model optimisation • Understanding of MLOps practices, model deployment, and monitoring • Experience working with cloud platforms such as AWS, GCP, or Azure • Strong analytical thinking and problem-solving skills Experience Required • 3–5 years’ experience in Machine Learning Engineering, Data Science, or AI development • Experience deploying ...

Collaborate across diverse technical teams , supporting knowledge-sharing, mentoring, and continuous learning. Skills & Experience Required Strong experience designing and implementing cloud solutions using AWS, Azure, or Google Cloud (certifications advantageous). Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation. Solid understanding of cloud strategy, platform engineering ...

data security and best-practice governance What We’re Looking For Strong experience building and scaling data platforms and pipelines Deep cloud experience (AWS, Azure, or GCP) Advanced SQL skills and experience with at least one backend language (Python, Scala, Java, etc.) Hands-on experience with data warehouses ...

Deep understanding of SDLC, systems integration, and data warehousing. Ability to gather requirements and liaise effectively with business stakeholders. Desirable Skills Cloud (AWS/Azure), Python, PowerShell, APIs. Data pipelines, lineage, automation. BI tools (Power BI, Tableau, SSRS). Modern data architectures (lakehouse, data mesh). CI/ ...

Deep understanding of SDLC, systems integration, and data warehousing. Ability to gather requirements and liaise effectively with business stakeholders. Desirable Skills Cloud (AWS/Azure), Python, PowerShell, APIs. Data pipelines, lineage, automation. BI tools (Power BI, Tableau, SSRS). Modern data architectures (lakehouse, data mesh). CI/ ...

. Exposure to other messaging platforms (Kafka, RabbitMQ, MQ). Understanding of DevOps tools and CI/CD pipelines. Knowledge of cloud environments (AWS, Azure, GCP) and cloud-native Solace deployments. Why Join Us? Join a multi-discipline team, delivering advanced Messaging APIs, developing tools, administering , supporting low latency ...

practical approach to problem-solving. Understanding of back-office systems and modelling workflows within the sports betting industry. Experience with DevOps tools (e.g., Azure DevOps, Jira). Confident using Git for concurrent development. Comfortable with mathematical concepts such as probability, statistics and matrix operations. Ability to produce reports, dashboards ...

databases. Experience with NoSQL databases is a plus. Big Data/Cloud: Experience with big data tools ( Spark, Hadoop ) and cloud computing platforms ( AWS, Azure, or GCP ) for scalable ML workflows. Visualization: Ability to create clear, compelling data visualizations using tools like Matplotlib, Seaborn, Tableau, or Power ...