2,126 to 2,150 of 7,938 Azure Jobs in the UK

will build with it.## ****What you'll do********Platform & cloud engineering (the 70%)***** ****Design, build, and operate infrastructure across AWS (VPC, networking, EKS), Azure (AKS, AKV, networking), with an understand of on-prem environments***** ****Own core networking design and implementation across within Cloud environments — connectivity, routing, DNS, load balancing … production platforms — you understand failure domains, graceful degradation, and what "five nines" costs***** ****Deep hands-on experience with AWS (VPC design, networking, EKS) and Azure (AKS, Key Vault, networking) — genuinely multi-cloud, not one cloud plus a certification***** ****Strong Networking fundamentals: TCP/IP, routing concepts, firewalls, load balancing ...

learnings back into the platform: what’s repeatedly missing, what should become a reusable capability, where the next‐generation architecture should go. Our stack — Azure‐native (AKS), Kafka and event‐driven architecture, Kong, .NET/C# on the backend, Vue.js on the front end, Auth0 and Entra … from zero to running in production, ideally in or near a regulated or financial domain. Comfort with distributed/event‐driven systems, APIs, cloud (Azure ideal; AWS/GCP transferable), containers, and CI/CD. Excellent communication; credible and trustworthy in front of partner stakeholders. Nice to have ...

based products at enterprise scale Deep hands‐on experience with at least one major cloud AI platform (AWS Bedrock, GCP Vertex AI or Azure AI Studio) Experience designing eval frameworks, red‐teaming processes and quality measurement for AI systems A portfolio or track record that demonstrates production‐deployed … Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector Cloud platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio CI/CD for AI: version‐controlled prompts, automated testing, deployment pipelines EU AI Act compliance, bias auditing and model drift detection ...

experimentation, and technical excellence Build production ML infrastructure – Develop scalable APIs (FastAPI, etc.) for model deployment, implement MLOps pipelines, leverage cloud platforms (AWS/Azure) to optimize AI infrastructure, and use orchestration tools (Airflow) for complex ML workflows Champion ML governance and operational excellence – Ensure adherence to AI/… strongly preferred) Production ML engineering excellence – Strong understanding of MLOps, containerization (Docker, Kubernetes/AWS EKS), cloud platforms (AWS/Azure including Bedrock, SageMaker, Azure AI Search), workflow orchestration (Airflow), and API development for ML systems Software development fundamentals – Deep understanding of automated testing, source version control, code ...

including complex queries and optimisation) Python for data pipelines and automation Data modelling and normalisation Batch data pipeline design Cloud data platforms (Azure preferred; AWS/GCP welcomed) Understanding of data security, privacy, and ethical data use Experience coaching, mentoring, or supporting others The ability to explain complex ideas … clearly and thoughtfully Nice to have Azure data engineering certifications (or willingness to gain them) Experience with tools such as Airflow, dbt, Spark, Databricks, CI/CD Workshop facilitation or structured learning delivery experience What Success Looks Like Learners trust you as a credible, supportive data engineering professional Learners ...

clients? We work with a wide range of different technologies including .Net, C #, Java, Salesforce, Sharepoint, Dynamics CRM, Sitecore, ReactJS, Angular, Docker, Azure, AzureDevOps and Octopus. We always use the most suitable, and preferably the latest, technology for each project, giving you the opportunity to learn and work … projects and working with Python or .NET Experience in Databases, including MongoDB, SQL or Document Database Experience in Unit Testing Experience in AWS or Azure, as well as Terraform Previous involvement in developing and delivering major IT solutions An understanding of agile tools and techniques Excellent communication skills ...

security and efficiency.Requirements:Essential:Extensive experience in IT infrastructure, including enterprise-scale architecture and design leadership.Proven expertise in cloud and hybrid infrastructure environments (AWS, Azure or equivalent).Strong background in virtualisation, storage, networking and high-availability platform design.Experience delivering infrastructure transformation, modernisation and migration programmes.Knowledge of infrastructure architecture frameworks … premise environments.Background in defence, aerospace or government technology programmes.Knowledge of defence security policies, standards and compliance requirements.Cloud certifications such as AWS Solutions Architect or Azure Solutions Architect.TOGAF certification or wider Enterprise Architecture experience.Experience with Infrastructure as Code (IaC) and DevOps practices.Understanding of ITAR and export control regulations.What we offer ...

experimentation, and technical excellence Build production ML infrastructure – Develop scalable APIs (FastAPI, etc.) for model deployment, implement MLOps pipelines, leverage cloud platforms (AWS/Azure) to optimize AI infrastructure, and use orchestration tools (Airflow) for complex ML workflows Champion ML governance and operational excellence – Ensure adherence to AI/… strongly preferred) Production ML engineering excellence – Strong understanding of MLOps, containerization (Docker, Kubernetes/AWS EKS), cloud platforms (AWS/Azure including Bedrock, SageMaker, Azure AI Search), workflow orchestration (Airflow), and API development for ML systems Software development fundamentals – Deep understanding of automated testing, source version control, code ...

cloud computing, etc. Key Skills/Experience: Experience in operating as part of data engineering teams and independently. Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask ...

Java, Scala, or Python Strong commercial experience of working with Palantir Software development experience withdata-processing platforms from vendors such as AWS, Azure, GCP, Databricks. Expert in SQL or SQL extensions for analytical use case Expert understanding of distributed data stores and data processing frameworks Ability to simply … designing analytical and operational data models Desirable: Comfortable with Data Warehouse methodsandtechniques Actively shares their thoughts and views on data practices AWS/Azure/GCP Certified in Data Services Expertise in continuous improvement and sharing input on data best practice Participation in development and/or technology communities ...

manage the implications of production changes within a controlled release process Infrastructure & DevOps Contribute to and maintain Infrastructure as Code (IaC) for the platform (Azure, AKS) in collaboration with the Infrastructure team Work within and help mature CI/CD pipelines, deployment workflows, and governance processes Continuously improve … pipelines and transformations at scale Hands‐on experience with a modern cloud data stack, including Snowflake, dbt, Airflow, and Databricks, on a cloud platform (Azure preferred) Demonstrated experience delivering data lineage and traceability within a regulated environment (e.g. SOX, financial services, healthcare, or similar) Experience contributing to platform migrations ...

Extensive experience with microservices architecture and related technologies (e.g., Docker, Kubernetes, OpenShift, Kafka) including hands on technical implementation Hands-on experience with cloud platforms (Azure) and Infrastructure as Code (IaC) tools (e.g., Ansible). Experience in Infrastructure projects over HP Non-Stop, Linux andInfrastructure Engineering Technical Skills: Hands …/CD pipelines and tools (e.g., Jenkins, GitLab. ADS). Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana. Splunk) Knowledge of UFT, Selenium, Azure Dev Ops Soft Skills: Excellent problem-solving and troubleshooting abilities. Strong communication and collaboration skills, with the ability to work effectively with cross-functional ...

latency, throughput, and cost—ensuring AI applications can operate at enterprise scale across hybrid and multi‐cloud environments. Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large‐scale AI deployments. Collaborate with ML and product teams to bring cutting‐edge GenAI models … experience designing high‐performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS. Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure‐as‐Code tools like Terraform. Experience managing data systems such as relational and NoSQL databases (PostgreSQL ...

teams to deliver resilient platforms. Monitor, maintain and optimise system performance and availability. Active DV Clearance . DevOps tooling including Jenkins, Git, GitLab or Azure DevOps. Infrastructure as Code using Terraform and/or Ansible. Docker and Kubernetes/OpenShift. Bash and/or Python scripting. Experience with version ...

judge scoring to determine what is ready to ship.* **ML infrastructure:** Building versioned training pipelines, model registries, scheduled jobs and deployments using Azure ML.**What you’ll be responsible for*** Owning the development and continuous improvement of our production pricing models.* Turning pricing opportunities into measurable hypotheses, experiments … evaluating LLM applications using approaches such as gold datasets, regression testing, LLM-as-judge scoring and canary testing.* Experience with cloud ML platforms—ideally Azure ML, Functions and Blob Storage—or the willingness to transfer your knowledge to Azure.* Experience with Git-based workflows, CI/CD and modern ...

Certifications CSTL Certified (ESSENTIAL) CSP Certified - PriCSP (Principal Level) (ESSENTIAL) Important: PraCSP (Practitioner Level) will NOT be sufficient for this role. Technical Skills Required Azure AWS On-Prem Infrastructure Strong Cloud Knowledge Containers Kubernetes Cloud Security/IAMs CI/CD Security-focused projects and delivery Ideally Public Sector ...

across systems. Exploring LLMOps, evaluation tools, and model observability platforms like TruLens and LangSmith. Deploying solutions on modern cloud and DevOps environments (AWS, Azure, GCP) – but always choosing the right tools for the problem at hand. Constantly learning, testing, and sharing findings across our internal AI community. Qualifications Even … data sources, or production systems. Curiosity about LLMs, RAG pipelines (Graph & Vector based), and agent frameworks. Understanding of cloud-native (AWS/GCP/Azure) and DevOps/DevSecOps practices. A collaborative mindset and willingness to share, learn, and teach. Understanding of prompt and context engineering and model evaluation. ...

ability to commute daily to Belfast for this on‐site role. A postgraduate degree in Computer Science or a related subject. Experience with Azure cloud-hosted applications. Experience using Azure DevOps or GitHub. Experience working within medical devices, healthcare, life sciences, pharmaceuticals or another regulated industry. Experience designing ...

/data poisoning, sensitive-data exposure via GenAI), and familiarity with OWASP LLM Top 10/MITRE ATLAS. Hands-on cloud incident response across Azure, AWS, and/or GCP, including cloud-native log sources (Azure Activity/Entra ID sign-in logs, AWS CloudTrail) and the reality ...

from massive GenAI models to fine‐tuned, specialized classifiers. Develop our custom‐built, content‐addressable storage abstraction layer over cloud object stores (GCS, S3, Azure Blob), complete with its own garbage collection and sharding logic. Enhance our asynchronous job‐queueing system, built from the ground up on the storage … Rust is essential, as it's the foundation of our core services. Strong Python skills are also critical. Real‐world experience with cloud ecosystems (Azure, AWS, or GCP) and containerization (Docker, Kubernetes). You should understand how production systems are deployed, monitored, and scaled. A firm grasp of concurrency ...

responsibilities include designing secure, scalable, and cost-effective data architecture, working with multi-functional teams to lead the adoption and integration of AWS/Azure architecture services, and collaborating with data engineers to prepare and deliver raw data for prescriptive and predictive modeling Assessing and advocating data management technologies … languages including SQL and Python Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake ...

emerging technologies to improve efficiency, quality and scalability. Confidence leading teams in the application of modern development practices, including rapid prototyping, AI-assisted coding, Azure DevOps based delivery and evolving software delivery methodologies. Strategic mindset with the ability to balance innovation, technical excellence, commercial objectives and practical delivery considerations. … Good understanding of technical architecture, performance, security, API integration, platform strategy and modern development practices. Familiarity with digital ecosystem design, including cloud hosted solutions, Azure DevOps, USD based workflows and emerging platforms such as Nvidia Omniverse would be advantageous. Strong commercial awareness and ability to balance quality, delivery performance ...

technology agnostic, using the right tools for the job at hand, and you’ll have access to our strong partnerships with AWS, Azure and GCP. We’re interested to hear from Solution Architects with experience across the majority of leading vendors including Azure, AWS, Google Cloud Platform, Oracle ...

standards and practices Share feedback, suggest improvements and help the team continuously level up Our Tech Stack: Frontend: React, Next.js, TypeScript Infrastructure: Nginx, Docker, Azure Monitoring and Analytics: Sentry, PostHog Tooling: Git, CI/CD pipelines, Agile methodologies Experience with React Native is a bonus as we continue expanding … frontend applications Strong expertise in React, Next.js and TypeScript A solid understanding of frontend architecture, performance and security best practices Experience with Docker and Azure deployments A collaborative mindset and strong communication skills A passion for creating user-focused, beautifully crafted digital experiences Experience mentoring others and helping teams ...

direction and still know what's happening under the hood, this is built for you. What You'll Do Own our AWS and Azure infrastructure. You'll set practical standards for security, reliability, scalability, performance, compliance, cost and resource use, working with architects, developers, security and product teams … building and running. What We're Looking For You've run production cloud infrastructure in practice, with deep expertise in AWS or Azure and confidence in the other. You're comfortable in the console and in the code, and you understand networking, identity, security controls and governance. ...