3,676 to 3,700 of 6,916 Azure Jobs in the UK

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 ...

Triple Point (TPT) CommodityXL (CXL) nice to have.Experience integrating with commodity exchanges (ICE, CME, NYMEX).Working knowledge of cloud platforms such as AWS and Azure, including architecture patterns and migration strategies.Ability to operate effectively in a fast-paced, dynamic, and high-intensity environment, with strong ownership and responsiveness.Technical ExpertiseArchitecture … enterprise application frameworks (J2EE, Spring)Data platforms and databases (Oracle, AWS Redshift, PL/SQL)API design and integration (RESTful services)Cloud architecture (AWS, Azure)Modern front-end frameworks (Angular or React) – Awareness LevelScripting and automation (Windows, Linux, Python)Employee Programs & Benefits:CCI offers competitive benefits and programs ...

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 ...

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 ...

this page. For further details or to enquire about other roles, please contact Ashley Lal at Harnham.KEYWORDSPython, SQL, Teradata, Tableau, R, AWS, GCP, Azure, Power Bi134191/ALLondonSalary:55000 - 65000 per annumJob typePermanentSector:Data scienceAshley LalSourcing ConsultantCorporate AccountsEmailAshleyLal@harnham.com ...

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 ...

reference architectures, and reusable integration frameworks. Promote API-first design, event-driven architecture, cloud-native patterns, automation, observability, resilience, and scalable support models across Azure, AWS, Databricks, Snowflake, Kafka, Solace, RMDS/TREP, and related technologies.Governance, Licensing & Operational ControlPartner with governance, compliance, audit, commercial, and technology stakeholders to strengthen … data through REST APIs, FIX, WebSockets, SFTP, streaming technologies, and vendor SDKs.Strong programming capabilities in Python, C#, SQL, and modern integration technologies.Practical experience with Azure, Databricks, Snowflake, and cloud-native data platforms.Experience working with Kafka, Solace, RMDS/TREP, and real-time messaging technologies.Experience with automation platforms including Airflow ...

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 ...

clients We work with a wide range of different technologies including Scala, .Net, C #, Java, Salesforce, SharePoint, Dynamics CRM, Sitecore, ReactJS, Angular, Docker, Azure, Azure DevOps and Octopus. We always use the most suitable, and preferably the latest, technology for each project, giving you the opportunity ...

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 ...

support advanced reasoning, long‐term memory, and multimodal insights. Doing so by leveraging BCG’s cloud/hyper-scaler & vendor partnerships (AWS, GCP and Azure)Define AI solution archetypes for use cases teams to effectively use the platform capabilities with well defined, reusable accelerators, SDK and tool kits.Govern platform … applying and deploying LLM-based systems, generative models, agent frameworks, and scalable AI/ML platforms.Mastery of enterprise cloud stacks (AWS/GCP/Azure), vector DBs, Knowledge Graphs, contextual memory, distributed systems, MLOps/LLMOps, and infrastructure automation.Additional infoYOUR TRAVELMostly from the BCG office, occasionally work at other ...

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 ...

standards, and team improvements Skills & Experience Essential: Strong C#/.NET experience Knowledge of VB6 WPF and/or WinForms Desirable: Git/ClearCase, Azure DevOps Oracle, SQL, XML Automated testing tools TDD, SOLID, Agile Additional Info 37 hours/week, flexible working hours STEM degree or equivalent experience ...

AVEVA is creating software trusted by over 90% of leading industrial companies.Job Title: Senior Cloud Software EngineerLocation: Cambridge, UK – HybridEmployment Type: Full-timeThe jobJoin AVEVA’s Core Services team to design and implement secure, resilient ...