801 to 825 of 2,008 Azure Jobs in London

design, MLOps, and cloud‐native architectures. Track record of leading ML/AI technical initiatives across multiple teams. Strong experience with cloud platforms (AWS, Azure, GCP). Experience with ML frameworks (PyTorch, TensorFlow, scikit‐learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG). Understanding of responsible ...

foundation in machine learning principles, deep learning architectures, and natural language processing, particularly with large language models. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing the AI lifecycle. Demonstrated ability to write clean, efficient, and well-tested code for scalable software systems. Exceptional problem ...

technology transformation. Strong knowledge of Generative AI, Large Language Models and enterprise AI platforms. Experience implementing AI governance and responsible AI practices. Knowledge of Azure, AWS or equivalent cloud AI services. Strong commercial acumen and executive stakeholder management skills. Experience working with UK public sector organisations. Experience with ...

across initiatives such as driving expansion, customer satisfaction, feature adoption, and retention. Hands‐on knowledge of one or more key cloud vendors (AWS, GCP, Azure) and a solid understanding of cloud networking and security technologies (VPC, Private Link, Private Service Connect, TLS/SSL, SASL). Experience prototyping ...

experience and a track record of picking up new stacks quickly) Hands‐on experience deploying production systems across more than one hyperscaler (AWS, GCP, Azure) Comfort with the building blocks that make multi‐cloud real: Kubernetes, containers, infrastructure-as-code (Terraform), private networking, identity, secrets and key management ...

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 ...

Expert level experience supporting cloud based and SaaS applications, including Google Workspace, Slack, Atlassian products etc Strong experience with public cloud providers (AWS, GCP, Azure) In-depth knowledge of various IT systems including email, document storage, networking, identity, device management, VDI Expert level knowledge of and the ability ...

related field. 6+ years in technology or modelling roles within financial services or fund administration. Desirable: Master Anaplanner or Solution Architect certification. Experience with Azure Data Factory, MuleSoft, or other integration tools. Familiarity with downstream reporting platforms such as Workiva or Power BI. Career Development & Opportunity This ...

/Private Service Connect), multi region architectures. Preferrable Confluent Certified Administrator for Apache Kafka (CCAAK), CKA/CKAD, HashiCorp Terraform Associate, major cloud certs (Azure/AWS/GCP). Experience with Confluent for Kubernetes (CFK) for operator based deployments. ...

skills that connect engineering workflow pain to outcomes like release predictability and faster planning‐to‐execution handoffs. Familiarity with developer ecosystems (Jira, GitHub, Linear, Azure DevOps, CI/CD, AI coding agents) and modern sales technology stacks. At Asana, we’re committed to building teams that include a variety ...

Familiarity with ACORD and London Market messaging or bordereaux standards.* Experience with delegated authority or Lloyd’s ecosystem platforms.* Experience with tools such as Azure Integration Services, MuleSoft, Boomi, IBM MQ, Kafka, REST/SOAP, XML, JSON, and managed file transfer solutions.* Knowledge of cloud and hybrid integration architecture. ...

modern digital technologies, with the ability to engage confidently with CTOs, CDOs, and senior business leaders. Have familiarity with agentic AI, cloud platforms (AWS, Azure, Google Cloud), and modern software delivery practices, with experience positioning AI-led solutions. Have extensive experience delivering digital product and technology programmes, turning strong ...

stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands‐on experience with Docker, Kubernetes, and Azure/AWS/GCP. Proven ability to architect scalable, production‐grade applications with a strong handle on cloud environments and infrastructure health. Experience working ...

5+ years of experience in software engineering with demonstrated leadership Hands‐on experience deploying enterprise software at scale Strong expertise in cloud infrastructure (Azure, AWS, GCP) Experience with Kubernetes, Helm, and CI/CD pipelines High agency — you don't wait for permission to solve problems A doer mentality ...

with pride in your work and the ability to maintain momentum. Experience integrating LLMs and AI APIs. Exposure to cloud platforms such as AWS, Azure or GCP. Experience working in Agile environments using Scrum or Kanban. Familiarity with CI/CD pipelines and container technologies such as Docker ...

Experience as a Software Engineer or similar role working with large‐scale infrastructure systems Relevant knowledge related to cloud virtualisation platforms such as AWS, Azure or Google Cloud Relevant knowledge with regards to containerisation technologies such as Docker or Kubernetes Excellent scripting and automation skills Knowledge/Understanding ...

transition activities. Desirable: Direct experience working within TSA-supported post-deal environments. Systems & IT Knowledge Solid conceptual understanding of enterprise applications, cloud technologies (AWS, Azure), infrastructure migrations, and corporate security environments. Familiarity with technology due diligence frameworks, data migration strategies, and target-state landing architectures. PMO & Execution Methodologies Expertise ...

expertise across Python, Node.js, and React, with a proven track record of designing high‐scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP). Expert ability to design and oversee production‐grade ecosystems, ensuring world‐class standards for system integrity, security, and long‐term scalability. ...

Exposure to RWE, biomarker discovery, or trial optimization.* Experience with agentic AI or LLM orchestration in Life Sciences.* Familiarity with platforms such as AWS, Azure ML, Databricks, foundation‐model platforms (e.g., ChatGPT, Claude), or modern code/AI tooling.## ## ## **What We’re Looking For*** **Polymath mindset:** Ability ...

live. Tech Stack Proficiency: Proficient in at least one modern language (e.g., Python, TypeScript, Java, Go) and comfortable working within cloud environments (AWS, Azure, or GCP). Pragmatic Mindset: You understand the balance between elegant code and delivering real value to users in a fast-moving startup environment. Curious ...

LLMs and agent systems, evaluation frameworks, backend and API design (Python or TypeScript), data systems (PostgreSQL, DynamoDB, MongoDB, or similar), and cloud infrastructure (AWS, Azure, or GCP) including Kubernetes, Docker, and IaC tooling. Experience deploying AI into complex enterprise environments , including navigating security reviews, identity/SSO, data residency ...

APIs to automate repetitive delivery and governance tasks, reducing human toil while maintaining security, auditability, and quality gates. Integration fluency across AWS/Azure/GCP/IBM (one or more), including networking/connectivity, IAM/zero trust, compute/storage, HA/DR, containers/orchestration ...

skills that connect engineering workflow pain to outcomes like release predictability and faster planning-to-execution handoffs. Familiarity with developer ecosystems (Jira, GitHub, Linear, Azure DevOps, CI/CD, AI coding agents) and modern sales technology stacks. At Asana, we're committed to building teams that include a variety ...

right tech for the right task, you can expect to work with the following technologies to ensure scalable, high‐performance applications: Cloud & Platforms: AWS, Azure, Google Cloud Platform, IBM, Oracle, Salesforce Architecture & Delivery: Microservices, packaged solutions, cloud/on‐premise models, agile delivery, digital transformation Tools & Frameworks: IoT, cloud ...

engineering Exsentive experience in technology within in AI/ML leadership role Strong hands on experience with ML frameworks Experience with cloud platforms(AWS, AZURE) Deep understanding of ML algorithms, LLMs and AI architecture Proven experience in deploying AI solutions at scale across industries Strong stakeholder management and executive ...