2,476 to 2,500 of 5,051 Azure Jobs in the UK

towards building and scaling our shared tooling for the platform and participate in an on-call rota. BIST's tech stack includes: AWS and Azure GitHub Actions and AWS CodePipelines/CodeBuild Terraform Containerisation such as Docker, Elastic Container Service (ECS), Elastic Container Registry (ECR) and Kubernetes ElasticSearch/… Amazon RDS) Datadog, Logstash Redis/Elasticache Skills and experience required for the Site Reliability Engineer includes: Cloud experience with either Amazon Web Services, Azure or Google Cloud. Exposure to building code-defined and reliable infrastructure on top of cloud computing systems (e.g. Terraform, CloudFormation, Pulumi). Working knowledge ...

towards building and scaling our shared tooling for the platform and participate in an on-call rota. BIST's tech stack includes: AWS and Azure GitHub Actions and AWS CodePipelines/CodeBuild Terraform Containerisation such as Docker, Elastic Container Service (ECS), Elastic Container Registry (ECR) and Kubernetes ElasticSearch/… Amazon RDS) Datadog, Logstash Redis/Elasticache Skills and experience required for the Site Reliability Engineer includes: Cloud experience with either Amazon Web Services, Azure or Google Cloud. Exposure to building code-defined and reliable infrastructure on top of cloud computing systems (e.g. Terraform, CloudFormation, Pulumi). Working knowledge ...

science techniques using WTW Radar and Emblem. Query and engineer large datasets (e.g., Python/R/SQL/PySpark) on modern platforms (e.g., Azure Databricks). Create innovative data solutions and present actionable insights to stakeholders. Communicate results clearly to key decision-makers to influence pricing strategies. Advance … Experience in general insurance pricing with strong modelling skills. Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. Experience with WTW Radar software is preferred. A quantitative degree in Mathematics, Statistics, Engineering, Physics, Computer Science, or Actuarial ...

with a solid understanding of values files, templates, hooks, and chart dependencies Experience with GitLab CI or a comparable CI tool (e.g. GitHub Actions, Azure DevOps, Jenkins, CircleCI), having built or meaningfully modified pipelines rather than just used them Production experience with Python or Go, with the ability … strong plus Experience with External Secrets Operator, Vault, or similar secret‐sync patterns is beneficial Familiarity with Terraform, multi‐cloud environments (GCP and Azure), observability tooling (e.g. New Relic, Datadog, Prometheus, Grafana), or contract testing with Pact would be valuable #J-18808-Ljbffr ...

Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration … handling commercial realities, and meeting strict SLAs, timescales, and budgets. Preferred Knowledge‐level & Certifications Multiple professional‐level certifications (AWS Certified Solutions Architect – Professional or Azure Architect AZ‐305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What We’ll Offer ...

Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration … handling commercial realities, and meeting strict SLAs, timescales, and budgets. Preferred Knowledge‐level & Certifications Multiple professional‐level certifications (AWS Certified Solutions Architect – Professional or Azure Architect AZ‐305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What We’ll Offer ...

Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration … handling commercial realities, and meeting strict SLAs, timescales, and budgets. Preferred Knowledge‐level & Certifications Multiple professional‐level certifications (AWS Certified Solutions Architect – Professional or Azure Architect AZ‐305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What We’ll Offer ...

still have a sound technical knowledge, in order to help inspire the team. Here’s their stack: Python, C#, TypeScript, .NET Core, React, Azure, Redis, Terraform, REST APIs, Distributed Systems, Distributed Storage, Azure Tables, SQL Server, Cosmos, xUnit. The candidate What’s in it for you? They ...

make sustainable and user‐focused technology choices. You may specialise in a particular technology domain or platform—such as legacy system migration, M365, Azure, GCP, AWS, data platforms, or intelligent process automation—but you should apply a technology‐agnostic perspective. You will act as a trusted advisor, often leading … Strong experience designing architectures for complex solutions ensuring consistency with agreed requirements and standards. Knowledge of enterprise systems, APIs/integration, cloud platforms (AWS, Azure, GCP), and data ecosystems. Experience developing and reviewing architecture artefacts; experience of architecture modelling (C4, ArchiMate, UML) and tools such as Visio, Lucidchart ...

approach complex customer scenarios and engage at an executive level with credibility. Ecosystem Integration: Solution complex engagements involving the broader cloud ecosystem (AWS, Azure, GCP) and third-party tools to ensure a seamless experience for the customer. Thought Leadership: Elevate your profile by leading executive engagement, creating customer-facing … vendor commercial motivations and sales cycles. Market Familiarity: Understanding and experience of key Data & AI technology market players, including the major hyperscalers (AWS, Azure, GCP) and key ISVs. Builder Mentality: A bias towards “showing” rather than “telling”, preferring to inspire stakeholders through built examples. Technical Expertise: Deep experience ...

Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production-level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data orchestration … handling commercial realities, and meeting strict SLAs, timescales, and budgets. Preferred Knowledge-level & Certifications Multiple professional-level certifications (AWS Certified Solutions Architect - Professional or Azure Architect AZ-305.) Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What we’ll offer ...

room of engineers and just as easily simplify complex concepts for senior decision‐makers Strong technical command of modern cloud infrastructure (GCP, AWS, Azure) and machine learning concepts A "hacker mindset" with a strong engineering foundation: you are a creative problem‐solver who builds robust, scalable, and efficient scripts … custom tooling; experience with REST APIs and SDKs is strongly preferred Hands‐on experience with at least one major cloud platform (GCP, AWS, or Azure), including data storage, compute, and deployment patterns common in ML workflows Solid understanding of machine learning concepts and the ML development lifecycle — from data ...

strategy. Excellent communication and leadership skills, with a commitment toequality, diversity, and inclusion. Desirable, but not essential Experience withAzure data and AI servicessuch as Azure OpenAI, Purview, Azure Data Explorer, or Databricks. Experience working in alarge, complex organisation, ideally within the higher education sector. What we offer ...

years consulting experience preferred Experience working with dimensionally modelled data Bachelor’s degree or equivalent experience, Master’s Degree Preferred Understanding of cloud (Azure, AWS, GCP, Snowflake preferred) and on premises architectures Experience in data analysis and profiling Strong data warehousing and OLTP systems from an integration perspective Strong ...

direction, mentoring others, and helping to continuously improve how we build and operate our platforms Requirements Strong backend engineering experience with cloud‐based systems (Azure, AWS or GCP) Experience designing distributed or event‐driven architectures (Kafka or similar) Proficiency in TypeScript/Node.js and/or Python Experience building ...

technology perspective, we work with Python, Java/Kotlin, Angular, Git, Docker, and Kubernetes, as well as current AI models through Vertex AI and Azure AI Foundry.The role offers you significant creative freedom: you will establish AI applications within productive banking processes and act as an AI knowledge multiplier … comparable qualificationSeveral years of professional software development experience, ideally with initial experience in AI/ML as well as cloud deployment (GCP or Azure)Very good programming skills in Python or Java/Kotlin, as well as experience with frontend technologies (Angular, TypeScript)Analytical mindset, enthusiasm for code quality ...

Job summary We are looking for an Associate IT Engineer to join our team of engineers based at our Porton site with travel required to other UKHSA sites across the country. The team is part ...

frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance Practical cloud-native experience (AWS, Azure, or GCP) Ability to present and effectively communicate with senior leaders and executives Demonstrable experience designing and leading adoption of agentic AI-enabled development … source table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with AI evaluation and observability practices: evals frameworks, red-teaming, prompt drift detection, and cost/latency monitoring for LLM workloads Understanding ...

initiatives. Qualifications Previous experience leading and growing Data Engineering teams Strong hands‐on background with modern cloud data platforms (AWS/GCP/Azure) Expertise across Python, SQL and data orchestration tools such as Airflow Experience building scalable data pipelines and data platforms in a fast‐paced fintech ...

have hands-on experience with agentic AI development (LangGraph, AutoGen, CrewAI, OpenAI Agents SDK, MCP)* Hands-on experience with Vector Databases & RAG (Snowflake, Azure AI search)* Your solution will be integrated with the work of your full stack developer teammates. Hence, understanding (hands-on experience is a plus … Applicants who are keen to contribute to both new feature development and system reliability and performance improvements.* Basic understanding of DevOps with AWS and Azure is mandatory, hands-on experience is a plus.* Hands-on experience with Agentic AI.* Familiarity with building applications that utilise generative AI is nice ...

vector databases and retrieval systemsExperience with AI agents, tool calling and workflow orchestrationAI evaluation, observability, guardrails and LLMOps expertiseAdvanced Python development skillsCloud experience (AWS, Azure or GCP)Experience with OpenAI, Anthropic or similar LLM platformsStrong communication and presentation skillsPrevious training, coaching, mentoring, or technical workshop delivery experience Location: Mostly ...

client deployments. You will embed cybersecurity controls and secure design practices into ClienTech pipelines, reusable assets, accelerator builds, and delivery environments across AWS, Azure, and GCP. Working closely with engineering squads, you will support the implementation of secure SDLC and DevSecOps practices, including static analysis, dependency scanning, container hardening … years of cybersecurity experience with strong exposure to digital product engineering, cloud workloads, or security architecture Working knowledge of securing cloud solutions in AWS, Azure, or GCP, including IAM, networking, containerization, and Kubernetes Hands‐on experience with DevSecOps toolchains such as SAST, DAST, dependency scanning, container image scanning ...

equipment data domains. Translate complex scientific/instrument outputs into clear business requirements and user stories for technical delivery teams, managed and tracked via Azure DevOps (ADO) . Engage with cross-functional stakeholders (lab scientists, informatics teams, data governance, IT) to ensure alignment between scientific intent and data/… senior business/data stakeholders . Excellent documentation skills — data dictionaries, business glossaries, process/data flow diagrams, mapping specifications. Hands-on experience with Azure DevOps (ADO) for Agile delivery — backlog, user stories, sprint tracking. Understanding of pharma R&D processes (e.g., experimental workflows, lab data lifecycle ...

stakeholder management and communication skills Experience working within large-scale transformation or data programmes Desirable Experience with Python Exposure to cloud platforms such as Azure or AWS Knowledge of test automation frameworks If this would be of interest please reach out with updated CV #J-18808-Ljbffr ...

DevOps and Infrastructure function, driving secure cloud platforms, engineering best practice and technical strategy across enterprise environments. Key skills: Terraform, Kubernetes & Python GCP and Azure (AWS desirable) DevOps & CI/CD (GitHub, Jenkins, Harness, Backstage) Cloud Security & Infrastructure Engineering Leadership of engineering teams and technical delivery Security controls, governance ...