3,801 to 3,825 of 7,474 AWS Jobs in the UK

complex product scope.WHAT YOU’LL BRING5+ years of hands-on experience in security or security research, specifically relevant to modern cloud environments (AWS, GCP, Azure, Kubernetes, etc.).Strong hands-on skills with scripting languages (e.g., Python, Go) for automation and research, as well as query languages (e.g. ...

REST APIs, and databases. Experience with data modeling, system performance optimization, and technical troubleshooting. Understanding of cloud, infrastructure, and virtualization technologies including Windows, Linux, AWS/Azure, or containerization is an asset. Strong problem-solving skills with the ability to translate business requirements into technical solutions. Excellent communication skills with ...

similar areas.Experience with SumoSushi Flow orchestration is strongly preferredWorking with RPC protocols such as gRPC/protobuf.Hands-on experience developing cloud applications (e.g. AWS, GCP, Azure).Preferred Qualifications:5+ years of professional software engineering experience.Experience writing testable and modular code.Experience working in a fast-paced environment, collaborating across teams ...

fundamentals.You’ll be confident working with infrastructure-as-code tools (like Terraform) and container orchestration platforms such as Kubernetes. Experience in cloud environments, ideally AWS, will be highly beneficial. You’ll also be comfortable coding in at least one modern programming language such as Go or .NET, using your technical ...

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 — FCA‐regulated fintech, payments, BaaS ...

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 ...

10+ years of hands‐on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production‐grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic ...

fully 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 ...

Claude, ChatGPT/OpenAI, Gemini, Microsoft 365 Copilot, Cursor, or GitHub Copilot.Exposure to Snowflake, vector databases, knowledge-base configuration, and cloud platforms such as AWS or Azure.Portfolio examples showing practical AI use: an agent, workflow automation, prompt/context library, RAG prototype, document extraction workflow, evaluation framework, or AI-enabled ...

developing reproducible bioinformatics pipelines using Nextflow/Snakemake, containerisation with Docker, version control via Git/Azure DevOps, and deployment on cloud-based (e.g. AWS/DNAnexus) and HPC environments.Scientific rigor and excellent communication and collaboration skills.Are you ready to ‘go beyond’ to create value and make your mark ...

configurations, diagnostic tooling, networking nuts and bolts Deep familiarity with containers (Docker) and orchestration (Kubernetes) at scale Experience working with a cloud provider (AWS/Azure/GCE), or sysadmin/SRE experience in data centers Experience designing, building, and operating high-scale observability or infrastructure systems Working knowledge ...

willingness to learn a base level of Spark. Hands‐on expertise with complex proofs‐of‐concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialised customer needs and navigate a competitive landscape. Nice to have: Databricks Certification ...

drive customer outcomes. Proficient in programming, debugging, and problem‐solving using SQL and Python. Hands‐on experience building solutions within major public cloud environments (AWS, Azure, or GCP). Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems ...

including governance, permissions, auditability and data protection including private retrieval architectures and ensuring proprietary data is not exposed to external model providers. Hands‐on AWS experience (Bedrock, Neptune, OpenSearch, Lambda) is very important. Strong engineers able to ramp quickly will also be considered. Cost‐aware design of inference and infrastructure ...

developing reproducible bioinformatics pipelines using Nextflow/Snakemake, containerisation with Docker, version control via Git/Azure DevOps, and deployment on cloud-based (e.g. AWS/DNAnexus) and HPC environments.Genuine curiosity about what advances in generative and agentic AI can unlock for the field.Scientific rigor and superior communication and collaboration ...

10+ years of hands-on industry DS/ML experience, with a focus on either:ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance.Data Science/AI: Applying advanced techniques in LLMs, agentic systems ...

10+ years of hands-on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic ...

willingness to learn a base level of Spark. Hands‐on expertise with complex proofs‐of‐concept and public cloud platform(s) across AWS, Azure and Google. Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. Nice to have: Databricks Certification Up to 60% travel ...

willingness to learn a base level of Spark.Hands-on expertise with complex proofs-of-concept and public cloud platform(s) across AWS, Azure and Google.Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.Nice to have: Databricks CertificationUp to 60% travel to London offices ...

PRINCE2, Scrum, PMI PBA).Training or certification in data analytics, AI or machine learning.Exposure to cloud‐based data and AI platforms (e.g. Azure, AWS, GCP) and BI tools (e.g. Power BI, Tableau).Experience supporting change management, training and adoption for technology‐driven initiatives.Experience in media, advertising or related sectorsA little ...

following: REST and GraphQL APIs API lifecycle management tools (e.g., the company, Swagger/OpenAPI, Kong, Apigee) CI/CD and automation Cloud platforms (AWS, Azure, GCP) Modern software development practices Excellent communication skills in English, with comfort in customer-facing presentations. Ability to travel up to 25% across ...

configuration management tools, such as Ansible or Salt is desirableFamiliarity with Python, Prometheus, Grafana, ELK, GitHub is desirableFamiliarity with public cloud networks, such as AWS, GCP, Azure, is desirableThe estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). ...

planning (MCTS, A*), or agentic/RL systems. Experience taking ML from prototype to production: reproducible pipelines, distributed jobs, and batch workflows on cloud (AWS/GCP/Azure) or HPC. Strong scientific computing instincts: clean Python, careful experiment design, leakage‐aware splits, and rigorous benchmarks. Clear communication with ...

Scrum, PMI PBA). Training or certification in data analytics, AI or machine learning. Exposure to cloud‐based data and AI platforms (e.g. Azure, AWS, GCP) and BI tools (e.g. Power BI, Tableau). Experience supporting change management, training and adoption for technology‐driven initiatives. Experience in media, advertising ...

believe in using the right tools for the job, and our stack reflects our commitment to modern, efficient development: Backend: PHP 8, Symfony, AWS, PostgreSQL, RabbitMQ, Docker, Kubernetes CI/CD: GitHub Actions and ArgoCD (we deploy to production as soon as a feature is complete!) Testing: Behat, PHPUnit ...