926 to 950 of 3,598 AWS Jobs in the UK excluding London

environments. You will enable scalable, highly available services and work within agile teams to modernize legacy applications. The role requires active SC clearance, extensive AWS experience (EC2/ECS), and IaC with Terraform/Ansible, plus GitLab CI expertise and scripting skills. Join a UK public sector-focused consultancy ...

work by designing and developing new features. You will work with a wide range of technologies including Python, C#, Java, TypeScript, React, Terraform, and AWS/Azure. We always use the most suitable technology for each project, giving you the opportunity to learn and work with different languages. … architecture for multiple services. Full-stack or backend technical background with experience in Python and TypeScript (or similar). Cloud infrastructure experience with AWS or Azure and IaC with Terraform. Experience delivering UK Government digital services, with a strong understanding of the GDS/NHS Service Standard and assessment process. ...

pipelines. Building high-performance asynchronous REST and WebSocket APIs using FastAPI to support real-time conversational AI applications. Deploying machine learning workloads across AWS, Azure, GCP and on-premise/bare-metal infrastructure . Designing automated MLOps and CI/CD pipelines covering model testing, versioning, deployment and monitoring. Containerising …/CD practices. Experience with container technologies including Docker and/or Podman . Practical cloud experience across one or more of AWS, Azure or GCP , ideally using services such as SageMaker, Azure ML or Vertex AI. Experience with CI/CD and MLOps tooling such as GitLab CI, GitHub ...

using the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: AWS is a significant growth area for us with a diverse and growing capability and we are looking for a Data Engineer with experience in AWS cloud … technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. ...

track record of writing performant, well-tested production code. Hands-on experience operating containerized services on Kubernetes in at least one major cloud (AWS, GCP, or Azure). Experience with data warehousing or analytics technologies such as Snowflake, Iceberg, Trino, or Postgres. Experience designing, deploying, and operating ML models … tools (e.g., Prefect, Airflow, dbt) and modern data lake architectures. Experience working closely with data scientists to operationalize research code. Multi-cloud experience across AWS, GCP, and Azure. Background in forecasting, demand planning, or retail/supply chain domains. Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting ...

success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat,?OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. Were an award-winning employer reflecting … employees are at the very heart of what we do: UK & Ireland's premier AWS, Microsoft & Oracle partner 3300+ strong, €350/£300m revenue business 10+ years as a Great Place to Work in Ireland & UK Best Workplace for Women in the UK & Ireland by GPTW Best Workplace for Wellbeing ...

Cloud: Extensive experience integrating automated tests into CI/CD pipelines (e.g., Jenkins, GitHub Actions) and interpreting pipeline quality gates, alongside experience with AWS‐hosted environments and cloud‐based test execution. Performance & API Testing: Demonstrable experience in API testing (REST/GraphQL) and executing performance testing at a high‐volume … well as familiarity with secure testing practices, vulnerability scanning, and DAST tools. Tech Stack Familiarity: Experience testing Java SpringBoot, Ruby on Rails, and AWS Lambda serverless patterns. Certifications: Recognised professional qualifications such as the ISTQB Advanced Level Test Automation Engineer certification. Advanced Testing Principles: Experience with contract testing (e.g., Pact ...

path code where the work demands it. Define and oversee the MLOps strategy spanning model training, deployment, monitoring, and lifecycle management on Kubernetes across AWS, GCP, and Azure. Establish and evangelize engineering best practices across services, including standards for scalability, fault tolerance, observability, and operational excellence. Mentor senior engineers … analytics platforms built on technologies such as Snowflake, Iceberg, Trino, and Postgres. Strong production experience with Kubernetes and at least one major cloud provider (AWS, GCP, or Azure), with working familiarity across multi‐cloud environments. Demonstrated experience with MLOps tooling and patterns, including model registries, experiment tracking, and CI/ ...

production stable, compliant, and always on. What you’ll be doing Administer and secure our on-premises data centre estate alongside public cloud environments (AWS, GCP or similar). Own OS patching, certificate lifecycle, and vulnerability remediation across the estate. Build and maintain configuration management and automation (Ansible or similar … required. Strong communication skills and comfort working autonomously. Willingness to participate in an on-call rotation. Nice to have Experience administering public cloud infrastructure (AWS, GCP, Azure or similar) at scale. Scripting ability (Python, Bash or similar). Exposure to cloud cost optimisation/FinOps practices. Experience in a regulated ...

across web and mobile) Offline capability: Progressive Web App (PWA) Backend: Node.js with a single API and multiple front‐end clients Database: PostgreSQL Hosting: AWS or Azure with infrastructure‐as‐code CI/CD: GitHub Actions with per‐PR environments Deployment: Docker‐based containerisation Authentication: Auth0 or Clerk (TBC) What … looking for: Strong full‐stack development experience (React, TypeScript, Node.js) Experience designing REST APIs and working with relational databases (e.g. PostgreSQL) Practical cloud experience (AWS or Azure), including deployment and CI/CD pipelines Proven ability to work in an agentic way with AI development tools — structuring problems and critically ...

focused infrastructure platforms supporting model development, training, evaluation, and inference. Engineer scalable, reliable, and secure cloud native services to support AI workloads across AWS, Azure, and hybrid environments Partner with AI Engineering and Data Science teams to improve developer experience, performance, and operational stability of AI systems Enable production deployment … them pragmatically within BlackRocks enterprise context. Required Qualifications Strong experience in cloud infrastructure, platform engineering, or systems engineering roles. 4+ hands-on expertise with AWS and/or Azure and/or GCP, including Azure ML, Azure Foundry, AWS Bedrock, Google Vertex, as well as cloud compute, networking, storage ...

impact digital services within collaborative, agile teams. What You'll Be Doing Developing scalable backend applications using Kotlin Building secure, cloud-based solutions within AWS environments Working closely with architects, product teams and fellow engineers Writing clean, maintainable and well-tested code Contributing to technical design and engineering best practices … less experienced developers What We're Looking For Strong commercial experience with Kotlin Backend/software engineering experience (not mobile development) Experience working with AWS Exposure to TypeScript is desirable Experience delivering projects within a consultancy and/or public sector environment Strong communication and stakeholder management skills Passion ...

maintain backend services using Python. Build scalable APIs and event-driven services that support customer-facing applications. Develop and optimise data solutions within AWS cloud environments. Collaborate with product, engineering, and frontend teams to deliver new platform capabilities. Contribute to architecture decisions and establish best practises for a strategic service. … ideal candidates will possess a strong set of skills and experiences, including: Significant commercial experience developing backend applications in Python. Proven expertise within AWS cloud environments. Strong understanding of database technologies, including PostgreSQL and SQL or NoSQL databases (preferably DynamoDB). Experience in building and supporting production-grade backend services. ...

engineering best practice Technology You'll have the opportunity to work with modern DevOps and platform technologies including: Kubernetes Terraform GitHub & GitHub Actions Helm AWS VMware Bash Go and/or Rust Experience with every technology isn't expected—we're looking for engineers who learn quickly and enjoy solving … likely have experience in several of the following: Supporting and operating production platforms Infrastructure as Code and automation Containerisation and Kubernetes Cloud infrastructure, ideally AWS CI/CD tooling and deployment pipelines Linux administration Strong troubleshooting and problem-solving skills Due to the nature of the work, applicants must have ...

monitoring, telemetry and operational analytics platforms. Demonstrated ability to advise senior stakeholders and lead multidisciplinary transformation programmes. Experience working across hyperscaler ecosystems including Azure, AWS and Google Cloud Platform. Proven ability to balance business outcomes, user needs, engineering constraints and operational requirements when shaping platform strategies. Desirable Experience Experience with … supporting business growth activities. Active participation in AI, SRE, platform engineering or cloud communities. Certifications (Desirable) Azure AI Engineer Associate Azure Solutions Architect Expert AWS Machine Learning Specialty Google Professional Cloud Architect Certified Kubernetes Administrator (CKA) SRE Foundation or SRE Practitioner Relevant observability platform certifications (Datadog, Dynatrace, Splunk etc.) Security ...

evaluation and security as non-negotiables. Technology mandate Language: Python preferable Frameworks: Agent Development Kits (ADKs) ; e.g. Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore, Microsoft Agent Framework/Semantic Kernel. Framework choice follows the engagement; the discipline is the same. Models: Multi-LLM via the kit (e.g. … principles (design, version control, architecture). Hands-on agent building with at least one agent development kit (Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore or Microsoft Agent Framework/Semantic Kernel). Solid command of agent engineering: prompt engineering, context engineering, prompt caching, RAG/context graphs ...

evaluation and security as non-negotiables. Technology mandate Language: Python preferable Frameworks: Agent Development Kits (ADKs) ; e.g. Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore, Microsoft Agent Framework/Semantic Kernel. Framework choice follows the engagement; the discipline is the same. Models: Multi-LLM via the kit (e.g. … principles (design, version control, architecture). Hands-on agent building with at least one agent development kit (Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore or Microsoft Agent Framework/Semantic Kernel). Solid command of agent engineering: prompt engineering, context engineering, prompt caching, RAG/context graphs ...

team works, developing engineers and driving the technical direction of a growing cloud platform. This is a hands-on leadership role supporting products across AWS, Azure and GCP. Youll provide day-to-day direction to the team, establish consistent engineering standards and help build the teams capability, while working closely … escalation point for complex production issues and participate in the shared on-call rota. Youll need: Significant production experience with at least two of AWS, Azure and GCP Deep production Kubernetes experience Strong GitOps and infrastructure as code experience at scale CI/CD pipeline automation experience Extensive experience with ...

mentoring within multidisciplinary teamsExperience Required:·Experience designing AI, ML or modern data architectures within enterprise environments·Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies·Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments·Experience with LLMs, prompt engineering, embeddings ...

Boot, Python/PySpark, GraphQL, or mobile development frameworks, with openness and aptitude to work across others as needed Experience with cloud platforms (preferably AWS) and working knowledge of both relational and distributed data platforms (e.g., Oracle, Databricks) Advanced understanding of agile methodologies, CI/CD pipelines, application resiliency … relational and distributed databases (e.g., Oracle, Databricks) with hands-on experience in query optimization, PL/SQL, and shell scripting in a cloud-native AWS environment Demonstrated ability to lead or contribute to architectural design discussions, technical evaluations, and proof-of-concept initiatives across diverse technology domains Experience working ...

industry trends Contribute to continuous improvement efforts across tooling, automation, process optimisation and platform evolution POSITION QUALIFICATIONS Degree in Computer/IT related discipline AWS, Linux or K8s related certifications (desired) ITIL (desired) Windows Server (MCSA/MCSE/Azure Hybrid) ABOUT YOU We need diverse people from all abilities … Linux server support , ideally at 2nd-line level or higher. Experience deploying and configuring solutions across Private (datacentre) and Public cloud environments such as AWS and Azure . Understanding of containerised platforms (e.g., Kubernetes) and how cloud-native applications are deployed and operated. Familiarity with automation and Infrastructure-as-Code ...

infrastructure has to be reliable, scalable, and secure — there is no acceptable downtime. As our Infrastructure/DevOps Engineer, you'll own the AWS infrastructure that runs the platform, build and maintain the CI/CD pipelines that ship it, and grow into a Site Reliability function as the team … This role is for someone who thinks in systems, automates everything, and takes platform reliability personally. What you'll do Design, build, and manage AWS infrastructure for a real-time, high-availability voice AI platform Own CI/CD pipelines — build, test, deploy, and rollback automation across all environments Define ...

production deployment, monitoring and continuous improvement. You will work across traditional machine learning techniques alongside generative AI, LLM-based applications and agentic workflows, applying AWS technologies and robust MLOps practices to deliver scalable, reliable solutions. Working closely with technical teams, business stakeholders and subject matter experts, this role offers real … step automated workflows Build and maintain data pipelines ensuring data quality and accessibility for modelling purposes Deploy machine learning models to production environments on AWS, ensuring reliability and performance Contribute to MLOps practices including CI/CD pipelines, model monitoring, data drift detection and model retraining Partner with product teams ...

production deployment, monitoring and continuous improvement. You will work across traditional machine learning techniques alongside generative AI, LLM-based applications and agentic workflows, applying AWS technologies and robust MLOps practices to deliver scalable, reliable solutions. Working closely with technical teams, business stakeholders and subject matter experts, this role offers real … step automated workflows Build and maintain data pipelines ensuring data quality and accessibility for modelling purposes Deploy machine learning models to production environments on AWS, ensuring reliability and performance Contribute to MLOps practices including CI/CD pipelines, model monitoring, data drift detection and model retraining Partner with product teams ...

Boot, Python/PySpark, GraphQL, or mobile development frameworks, with openness and aptitude to work across others as needed Experience with cloud platforms (preferably AWS) and working knowledge of both relational and distributed data platforms (e.g., Oracle, Databricks) Advanced understanding of agile methodologies, CI/CD pipelines, application resiliency … relational and distributed databases (e.g., Oracle, Databricks) with hands-on experience in query optimization, PL/SQL, and shell scripting in a cloud-native AWS environment Demonstrated ability to lead or contribute to architectural design discussions, technical evaluations, and proof-of-concept initiatives across diverse technology domains Experience working ...