3,476 to 3,500 of 6,253 Azure Jobs in the UK

things are done.You have a drive to learn, constantly exploring new technologies and novel applications for existing tools.You possess deep experience with both Azure and AWS as well as Infrastructure as Code, especially Terraform.You are experienced in building and deploying containerized solutions using Docker and Kubernetes, supported by strong ...

agentic AI projects from concept through production.Strong software engineering skills using languages such as Python or TypeScript.Experience designing cloud-native solutions on AWS, Azure, or Google Cloud Platform.Expertise in systems architecture, APIs, integration patterns, and modern data pipelines.A track record of translating business objectives into practical technical solutions.Experience leading ...

eligible to obtain, UK Security Check (SC) clearance to support our critical public sector partnerships.You bring a strong working knowledge of cloud ecosystems (AWS, Azure, or GCP), with any exposure to securing generative AI seen as a valuable asset.Our interview process:Talent Team Screen (30 minutes)Hiring Manager Interview ...

learning, multi-agent systems, or cognitive architectures.Solid understanding of software engineering principles, including design patterns, data structures, and algorithms.Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices is a plus.Excellent problem-solving skills, with the ability to translate complex business requirements into technical solutions.Strong communication and collaboration ...

professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions seamlessly into client operations. You have a good understanding ...

expertise in software engineering and strong Python skills, focusing on building robust, reusable systemsYou have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructureYou've extensive experience working with container and orchestration tools such at Docker & Kubernetes to build and manage applications ...

process documents and learner work, and to validate marking consistency in a range of qualifications. Tech focus: Python and AWS (or equivalents in Azure or GCP), with hands‐on work across classical ML and modern LLM/RAG systems using services like Amazon SageMaker and Bedrock. What ...

professional who excels in Python, with a proven ability to develop powerful data visualisations, implement machine learning models, and deploy solutions in the cloud (Azure). You understand the value of DevOps principles, version control, and integrating technical solutions seamlessly into client operations. You have a good understanding ...

suites Understanding of software development lifecycles and testing methodologies Experience working within Agile environments Knowledge of test management and defect tracking tools such as Azure DevOps or Jira Strong analytical and problem-solving skills with excellent attention to detail Excellent communication and stakeholder management skills ISTQB/ISEB certification ...

technology stack Experience building and operating enterprise‐grade ML pipelines (data preparation, distributed training, model optimisation, serving, and monitoring) in cloud (AWS, GCP, Azure) or on‐prem environments Preferred Qualifications Demonstrated ability to deliver end‐to‐end AI products - from problem framing and experimentation through to globally deployed, production ...

Prometheus, OpenTelemetry, Grafana) Databases (e.g. Postgres, DuckDB) Event Streaming platforms (e.g. Kafka) Container Orchestration (e.g. Docker, Kubernetes) Familiarity with cloud platforms such as AWS, Azure or GCP Experience with CI/CD systems (e.g. Jenkins, CircleCI, GitLab, GitHub Actions) Desirable Experience supporting production systems in high‐consistency transactional environments ...

networking, infrastructure, virtualization and real-time systems. Practical understanding of IT/OT convergence and hybrid architectures. Experience working with cloud platforms such as Azure or AWS. Ability to operate at both strategic and detailed technical design levels. Experience producing architecture documentation, technical specifications and design artefacts. Strong stakeholder ...

implement machine learning algorithms and tools• Integrate generative AI models into production systems and applications, often involving APIs, microservices, and cloud platforms (AWS, Azure, GCP).• Manage and direct research and development processes to meet the needs of our AI strategy• Develop machine learning applications in alignment with project ...

/IIB, Kafka). Or Oracle Pl/SQL desirable but not mandatory. DataStax/Cassandra certification and cloud experience (AWS Keyspaces, Azure Managed Instance for Cassandra) desirable. Experience working in Agile delivery environments, contributing to ceremonies and cross-functional collaboration. Demonstrated accountability in managing services, resolving issues ...

expertise in architecting and delivering large scale distributed systems, such as cloud native microservices on Docker/Kubernetes, deployed on modern cloud platforms (AWS, Azure, or equivalent), ensuring scalability, high availability, and performance* Demonstrated success as a high impact technical advisor to multiple engineering teams, with proven ability ...

Certificate lifecycle managementRoot of trust architecturesDigital certificates and digital signaturesHands-on experience with enterprise PKI platforms such as:KeyfactorEJBCAActive Directory Certificate Services (ADCS)Azure Certificate ServicesEvertrustExperience leading technical solutions across bids, proposals, and complex programmes.Strong technical documentation and stakeholder communication skills.Ability to translate complex technical concepts into clear business ...

process knowledge in Business Process Analysis. Basic Linux and Windows Operating System knowledge Previous experience installing SISW Software solutions on cloud platforms (AWS, Azure, GCP). Experience in Requirements Engineering/System Engineering and working experience with web applications, client-server architecture You understand common software development principles ...

Certificate lifecycle managementRoot of trust architecturesDigital certificates and digital signaturesHands-on experience with enterprise PKI platforms such as:KeyfactorEJBCAActive Directory Certificate Services (ADCS)Azure Certificate ServicesEvertrustExperience leading technical solutions across bids, proposals, and complex programmes.Strong technical documentation and stakeholder communication skills.Ability to translate complex technical concepts into clear business ...

middleware (IBM MQ/IIB, Kafka). Or Oracle Pl/SQL desirable but not mandatory.DataStax/Cassandra certification and cloud experience (AWS Keyspaces, Azure Managed Instance for Cassandra) desirable.Experience working in Agile delivery environments, contributing to ceremonies and cross-functional collaboration.Demonstrated accountability in managing services, resolving issues ...

Python capability. Experience with distributed computing frameworks (e.g., Spark or similar) and scalable data processing environments. Exposure to cloud-based platforms (e.g., AWS, Azure, GCP or Databricks) and modern ML/MLOps practices. Proven track record managing and growing high‐performing data science teams, including technical mentoring and delivery ...

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 ...

marketsData Science/ML SkillsHands-on industry ML experience in at least one of the following:ML Engineer: Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoringData Scientist: Experience with the latest techniques in natural language processing, including ...

such asanalytics, ETL/ELT, cloud data platforms, AI/ML workflows,automation, or enterprise data architecture.Knowledge of public cloud platforms such as AWS, Azure,or GCP, and exposure to cloud data platforms such asSnowflake, Databricks, BigQuery, Redshift, or MicrosoftFabric. Relevant certifications are a plus, although not arequirement.Strong understanding ...

Experience in data engineering, data platforms & analytics, or software engineering/full stack development Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache SparkTM and knowledge of Spark runtime internals Familiarity with ...

Science/ML Skills Hands-on industry ML experience in at least one of the following: ML Engineer: Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring Data Scientist: Experience with the latest techniques in natural language processing ...