2,126 to 2,150 of 3,800 Azure Jobs in London

/ML concepts, including model evaluation metrics, data pipelines, and the unique challenges of testing generative AI outputs. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) in a CI/CD environment is a big plus. Exceptional analytical skills to dissect complex problems ...

credible technologist and escalation authority by senior technical stakeholdersPlatform Familiarity: Strong working knowledge of enterprise data and cloud platforms (Snowflake, Databricks, AWS, GCP, Azure), sufficient to shape architecture decisions and rollout strategy at an enterprise scaleGovernance Background (preferred): Meaningful exposure to data or AI governance concepts, with the ability ...

VOIP components and protocols (SIP , FreeSwitch, OpenSIP, session border controllers) Experience with load balancing components ( F5 LTM, F5 GTM) Experience with administering AWS or Azure tenants Diversity, Inclusion, and Equal Opportunity We hire, promote, and compensate employees based on their ability to perform their job responsibilities, without regard ...

engineering and architecture candidates Qualifications Degree in Computer Science, Software Engineering, or a related technical discipline, or demonstrably equivalent experience. Professional certifications (AWS, Azure, GCP) are valued but not a substitute for practical architecture experience. 7+ years in software engineering with at least 3 years in an explicit architecture ...

system design principles, scalable architecture patterns and API designs Experience with both relational and NoSQL databases (Postgres, MySQL, DynamoDB) Proficiency in cloud platforms (AWS, Azure or GCP) Familiarity with CI/CD pipelines and automated testing frameworks Strong understanding of investment products, and trading workflows Special Factors Vanguard ...

pipelines, or AI frameworks. Experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and modern AI development tools. Knowledge of Azure AI Services or other cloud-based AI platforms is a plus. Understanding of software development best practices and the AI solution lifecycle. Strong analytical ...

assessment processes for engineering and architecture candidatesQualificationsDegree in Computer Science, Software Engineering, or a related technical discipline, or demonstrably equivalent experience. Professional certifications (AWS, Azure, GCP) are valued but not a substitute for practical architecture experience.7+ years in software engineering with at least 3 years in an explicit architecture ...

best practices and platform standardsRequired SkillsNeo4j Administration (clustering, backup, recovery, monitoring)Cypher Optimization (query tuning, execution plans, indexing strategies)Cloud Infrastructure (AWS/Azure/GCP, containerization, scaling)Security (RBAC, authentication, data protection)Preferred SkillsExperience with Graph RAG workloads and traversal optimizationDevOps tools (Docker, Kubernetes, CI/CD pipelines ...

architecture, or engineering leadership with external stakeholders Strong proficiency in modern software engineering stacks - Python, TypeScript, or Java - with comfort across cloud platforms (AWS, Azure, GCP) Experience driving engineering process change or transformation within organisations - you have helped teams adopt new tools, practices, or ways of working at scale ...

strong judgment designing distributed, event‐driven, and data‐intensive systems, including how they scale, fail, recover, and isolate risk. Experienced with cloud platforms (AWS, Azure, GCP) and the trade‐offs around managed services, multi‐region and multi‐tenant designs, data residency, cost, performance, and resilience. Knowledge of advanced ...

experience working with Cloud data warehousing technologies, in particular with BigQuery optimisation and FinOps Experience working with modern cloud‐based stacks such as AWS, Azure or GCP Excellent SQL skills Strong programming skills with at least one of Python, Java, Scala or C# You’re a mentor, raising ...

product partners, platform teams and third-party delivery partners. Practical experience with modern engineering toolchains and technologies such as GitHub Actions, Kafka, Kong, Databricks, Azure Kubernetes Service, React, React Native, Java, automated testing and API gateways. Our promise to you... We will make sure that you are well-rewarded ...

Business Analysis, Development, DevOps, Delivery and business stakeholders. A continuous improvement mindset and the ability to influence stronger quality practices across teams. Experience with Azure DevOps, complex multi-system environments, scripting or programming would be an advantage. What makes this role different We are looking for someone who wants ...

following: ITIL 3 and awareness of ITIL 4 (especially value streams) Agile (Scrum/Kanban) Government Digital Service Standard ( cloud services (AWS or Azure or Google Cloud) Competencies: You will have extensive experience in the following: IT Service Management (ITSM) IT Service Design Track record of managing ...

Trust, defence-in-depth, least privilege, secure-by-design, and resilience-by-design. Familiarity with one or more of the following domains: Cloud security (Azure, AWS, GCP) Network security Identity and Access Management (IAM) Application security/DevSecOps Infrastructure and platform security Continuous Threat Exposure Management Ability to analyse ...

Linux system administration, including networkingExperience with identity and access management tools (e.g., LDAP, Kerberos, Active Directory, IAM)Hands-on experience with cloud platforms (AWS, Azure, GCP)Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuningFamiliarity with the Hadoop and/or Spark ecosystemsHow ...

TypeScript), and know how to build robust, production-grade systems. You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build full-stack web applications. You have hands-on experience with containerisation tools like Docker and orchestration ...

it. Excellent communication and collaboration skills, able to work effectively in cross-functional teams. Bonus points Experience with cloud platforms (AWS, GCP, Azure) Knowledge of CI/CD pipelines and automated testing Previous experience in AI/ML projects or startup environments. What we offer Compensation ...

solve specific problems. Solid engineering skills, including designing and implementing services/data models and features. Expertise with cloud computing platforms (AWS, GCP, or Azure) and containerisation tools (e.g., Docker, Kubernetes). Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines). Excellent ...

deliver cutting‐edge business solutions, working end‐to‐end from senior stakeholders to delivery teams. Access the latest training and certifications, including AWS, Azure, and GCP, alongside our extensive internal learning and mentoring programmes. Contribute to thought leadership and the development of market‐relevant offerings that showcase innovation ...

experience operationalising models using frameworks like Scikit-learn, TensorFlow, or PyTorch. You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build full-stack web applications. You have hands-on experience with containerisation tools like Docker and orchestration ...

experience operationalising models using frameworks like Scikit-learn, TensorFlow, or PyTorch. You are an expert in at least one major Cloud Solution Provider (e.g., Azure, GCP, AWS) and have led teams to build full-stack web applications. You have hands-on experience with containerisation tools like Docker and orchestration ...

Experienced in shaping a variety of end to end control requirements across; application, systems and infrastructure, in hybrid Cloud (inc. O/D365, AWS, Azure, GCP) and On-Prem. Ability to architect solutions across service and network infrastructure. With a solid foundation in both. What experience you'll bring ...

Java). Hands‐on experience building and deploying AI agents or multi‐agent systems. Working familiarity with enterprise IT architecture, cloud platforms (AWS, Azure, GCP), and system integration patterns. Consulting & Client Skills High agency; comfortable navigating ambiguity, working across complex organisations, and contributing without a well‐defined playbook. Strong ...

Experience with distributed training and inference workloads. Understanding of vector databases, model serving frameworks and AI infrastructure tooling. Experience with cloud platforms such as Azure, AWS or GCP. Markets & Quantitative Development Prior experience in electronic trading, quantitative development or financial markets. Experience integrating AI capabilities into business workflows ...