51 to 75 of 417 Azure Jobs in Central London

front-to-back workflows. Desirable Skills Familiarity with SQL Server, Oracle, or similar databases. Knowledge of DevOps tools and CI/CD pipelines (Azure DevOps, Git). Understanding of risk and PnL reporting. Experience in Agile/Scrum environments. Knowledge of messaging tools (eg, RabbitMQ). Orchestrade experience ...

Strong understanding of software design patterns Comfortable working in fast-paced, agile environments Nice to have (not essential) Cloud platforms (AWS and/or Azure) Containerisation (Docker, Kubernetes) Infrastructure & configuration management (e.g. Ansible) Experience with relational, document, or graph databases Exposure to machine learning platforms What's on offer ...

best practice Required Experience Active SC Clearance (or eligibility at minimum) Proven full stack development experience within the UK public sector Cloud experience (AWS, Azure, or GCP) Strong experience with Java or Python Front-end experience using modern JavaScript frameworks (e.g. React, Angular, Vue) Familiarity with RESTful APIs, databases ...

Java skills and familiarity with TensorFlow/PyTorch. Proficient in ML/DL models, databases, ETL, and data pipelines. Experience with cloud (AWS/Azure/GCP) and MLOps. Expertise in generative AI & LLMs (OpenAI, Hugging Face, LangChain, vectors). Exceptional communicator and client‐facing collaborator. Preferred: Advanced degrees ...

distributed systems. Full-stack development experience. Knowledge of REST APIs, Kafka/RabbitMQ, SQL/NoSQL. Experience with CI/CD and cloud platforms (Azure or AWS). Experience with TDD/BDD and unit testing frameworks (Karma, Jasmine, or similar). Required Soft Skills (Consultancy Focus) Excellent verbal ...

Nice-to-Have Skills Exposure to RAG frameworks, vector databases, embeddings, and graph/temporal data systems. Familiarity with cloud-based deployment (AWS/Azure), containerization, and observability tooling. Experience with prompt engineering, model fine-tuning, quantization, or optimization techniques. Knowledge of multi-agent orchestration platforms, AI-enabled SDLC ...

Skills & Experience Strong full-stack engineering background with hands-on experience in JavaScript, TypeScript, and modern frameworks. Proven expertise building cloud-native applications on Azure, AWS, or GCP (microservices, APIs, serverless, containers, cloud integration). Excellent understanding of the modern software development lifecycle, engineering best practices, and secure delivery ...

Strong knowledge of AI/ML integration within enterprise architectures. Expertise in data modelling, distributed systems, and microservices architecture. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Excellent understanding of data governance, security, and compliance in regulated environments. Strong communication and stakeholder management skills. ...

timely and transparent communication skills Experience with SQL/MS Access/Selenium (or similar reporting tools) Experience with cloud/virtual machine services (Azure/AWS) DevOps experience (CI/CD, pipelines, branching, merging, Terraform, ARM) Strong understanding of workflows and processes for releasing code across multiple environments ...

communicating insights effectively. •Familiarity with MLOps frameworks, CI/CD pipelines, and model deployment. •Good knowledge of cloud-based data platforms (e.g. AWS, Databricks, Azure) •Knowledge of data governance and ethical AI principles. •Excellent communication skills, with the ability to translate technical results into business impact. •The ability ...

statistics and practical machine learning concepts (classification, regression, clustering). Knowledge of big data platforms and cloud-based AI analytics environments (e.g., Databricks, Snowflake, Azure ML, or AWS SageMaker). Ability to present complex issues as simple, compelling, and data-driven narratives, enhanced by AI-supported visualization and summarization ...

Agentic AI augmented with knowledge of transformer-based architectures, prompt engineering, fine-tuning, and retrieval-augmented systems. Experience in leveraging cloud platforms (AWS, GCP, Azure) for scalable AI solutions. Foundational understanding of ML pipelines and Hands-on experience in deployment processes, version control systems (e.g., Git), CI/ ...

Agentic AI augmented with knowledge of transformer-based architectures, prompt engineering, fine-tuning, and retrieval-augmented systems. Experience in leveraging cloud platforms (AWS, GCP, Azure) for scalable AI solutions. Foundational understanding of ML pipelines and Hands-on experience in deployment processes, version control systems (e.g., Git), CI/ ...

. Proficiency in MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes). Strong working knowledge and practical deployment experience on major cloud platforms (AWS, Azure, GCP), including their AI/ML services. Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems. Experience ...

C++ and/or Rust Experience in CI/CD pipelines to automate testing, deployment, and release management. Knowledge of cloud platforms (AWS, Azure, etc.). Experience with Docker, Kubernetes and containerized application deployment. Experience working on real time systems such as video games or IoT installations. Exposure ...

work closely with UI experts and interpret their outputs Desirable Experience working with offshore development team Knowledge of Cloud based environments and processing (e.g. Azure), Storage Explorer etc. Good standard Business Analysis skills Very good writing ability Good basic technical skills Self-starting and able to progress ...

major MarTech products (Adobe AEP/AEM, Braze, SFMC, Tealium, Segment, or mParticle). Deep understanding of cloud platforms (AWS/GCP/Azure), streaming technologies (Kafka, Pub/Sub), and data warehouses (Snowflake, BigQuery). Proficiency in SQL, a scripting language (Python/Node.js), and familiarity with infrastructure ...

create and improve existing enterprise reporting Building out “master data sets” that are efficiently modelled and support self-service BI Utilising technology like Azure DevOps and Development pipelines for ALM Design and Build Power BI dashboards and Reports to a high standard focusing on usability for both ...

stacks (for example: Java, .NET, Python, Node.js, Go, etc.) Solid understanding of microservices, distributed systems, APIs Experience with cloud environments such as AWS/Azure/GCP Familiarity with Docker, Kubernetes Clear communication skills & a collaborative mindset ...

using domain driven design (DDD). CQRS and Event Sourcing patterns * Kubernetes * Knowledge/Certification in Spring framework. * Experience in cloud technologies AWS/Azure/GCP Please apply for the job if you fit the above criteria. ...

Background: Strong experience in modern programming languages ( Python, Java, Typescript, JavaScript) Familiarity with secure coding principles and systems engineering Experience with cloud platforms (AWS, Azure, GCP) and DevOps tooling is a bonus Comfortable working in agile, iterative environments Active DV clearance is essential A passion for mission-focused work ...

building RESTful APIs or microservices. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure) Passion for building customer-centric products and working collaboratively to solve complex technical challenges. We are an equal opportunities employer and welcome applications from ...

building RESTful APIs or microservices. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure) Passion for building customer-centric products and working collaboratively to solve complex technical challenges. We are an equal opportunities employer and welcome applications from ...

with data transformation and infrastructure as code tools like dbt, Fivetran, and Terraform is highly beneficial. 🚀Experience with one or more major cloud environments— Azure, GCP, or AWS —is also expected. In return for your skills and dedication, you will receive a comprehensive package designed to support your development ...

expertise in AI/ML integration within enterprise architectures Deep knowledge of data modelling, distributed systems, and micro-services Experience with cloud platforms (AWS, Azure, GCP) and containerisation (Docker, Kubernetes) Solid understanding of data governance, security, and regulatory compliance Excellent communication and stakeholder management skills Modis International Ltd acts ...