451 to 475 of 2,284 AWS Jobs in London

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‐native ...

Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS Living Standard, Azure, AWS, WPF, MVVM, Prism, continuous integration, dependency injection, Node.js, Elasticsearch and MongoDB. This is a fantastic opportunity to join a prestigious consulting firm that can offer ...

track record designing low-latency, high-throughput distributed systems Experience working in environments with strict performance, scalability, and reliability requirements Strong cloud experience across AWS and/or Azure, including managed data services Deep knowledge of both: Transactional databases (e.g. PostgreSQL, SQL Server) Analytical/time-series systems (e.g. ClickHouse ...

design Work on integrations with other potential partners and on APIs Troubleshoot, debug and upgrade software Learn and understand our infra stack - Heroku + AWS Build systems to automate as much of the developer experience as possible Requirements 6+ years experience in web application design and development Strong experience with ...

data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading the architecture vision, design & implementation of Enterprise scale data applications, with specific focus ...

with 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 ...

Required qualifications, capabilities and skills Understanding of SQL, Python or R, and hands-on experience with relational and cloud databases (Oracle, SQL Server, PostgreSQL, AWS/Azure) Knowledge in enterprise ETL/ELT tools and data-integration platforms for large-scale processing Familiarity with data-governance frameworks, master-data management ...

cache/memory optimisation, quantisation (FP8/INT8/AWQ/GPTQ), or cold-start/throughput tuning Experience with Kubernetes, cloud infrastructure (AWS/GCP), GPUs, serverless/elastic GPU platforms (e.g., Modal), or high-throughput batch systems Experience with LLM gateways, model routing, vendor abstraction, or cost attribution ...

across multidisciplinary teams. Technical Environment Experience with some or all of the following would be advantageous: Playwright Selenium Maestro BrowserStack TypeScript Java Node.js Express AWS Desirable Experience AI application testing. Validation of streamed AI responses. Performance and load testing. Creation of automation frameworks from scratch. Government or large-scale digital ...

validate risk assessments. Experience operating within Agile and multidisciplinary delivery environments. Knowledge of cloud security risks and controls across platforms such as Azure, AWS, or Google Cloud is beneficial. Experience within Local Government, the wider public sector, or regulated environments would be highly advantageous. Experience using data and reporting tools ...

similar.* Familiarity with project management and collaboration tools including Smartsheet, Monday.com, Microsoft Project, and Microsoft Office Suite.* Experience working in cloud-based environments (AWS, Azure, or GCP) and data platform initiatives is highly desirable.* Experience within regulated industries or enterprises in SaaS environments is considered an advantage.Preferred Experience* Delivery ...

architecture on software performance Familiarity with software architecture patterns such as microservices, CQRS, and event sourcing Experience with at least one major cloud provider (AWS, Azure, or GCP) Experience with Kubernetes and Docker containers Experience designing and building microservices architecture A team player with a positive attitude and a problem ...

enabled systems reliable through testing, observability, validation, guardrails and human-in-the-loop review You have experience working with cloud-based systems – AWS, serverless technologies, regulated industries or financial services experience is desirable This role isn’t for you if... You rely on a lot of top-down direction. Here ...

data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading the architecture vision, design & implementation of Enterprise scale data applications, with specific focus ...

background with experience operating in complex client environments Experience shaping modern data strategies, architectures and operating models Deep understanding of cloud data ecosystems across AWS, Azure or GCP Experience working with modern data platforms and technologies such as Databricks, Snowflake, Fabric or equivalent ecosystems Strong stakeholder management and facilitation skills ...

exciting projects. Preferred Skills: Strong backend engineering experience, with Go as a primary or preferred language; Comfortable working in cloud environments such as AWS, Azure, or Google Cloud; Experience building and maintaining APIs and backend services, including SaaS platforms; Familiarity with modern infrastructure and distributed systems; Solid understanding of modern ...

ownership: take complex projects from idea through design, implementation and production with minimal oversight. Tech stack: Python, Ruby, Typescript; running on AWS with Kubernetes. Strong judgement and initiative: make sound technical decisions in ambiguous situations; take initiative across multiple areas and coordinate cross‐team solutions. Mentorship and collaboration: guide junior ...

concepts such as reasoning, tool calling, prompt templates, etc. Experience with containers and orchestration tools (e.g., Docker, Kubernetes). Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform). Proven ability to solve complex problems and work independently in fast-moving environments. Nice to haves: Experience with ...

GitOps principles (e.g. ArgoCD). Partner closely with the core infrastructure team to ensure deep visibility into our Kubernetes clusters and underlying GCP and AWS environments. Develop and lead the company's monitoring, alerting, and incident response strategy, driving a culture of proactive reliability and blameless post-mortems. Required Qualifications ...

core Big Data Analytics domain with some exposure to advanced proofs‐of‐concept and an understanding of a major public cloud platform (AWS, GCP, Azure). Experience diving deeper into solution architecture and design. The role requires travel to customer sites in the UK. Travelling approx. ...

good understanding of supervised, unsupervised, and reinforcement learning methods alongside experience working with foundation models and prompt engineering Practical experience with GCP services or AWS equivalent such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc Practical experience with CI/CD for AI/ML, model versioning ...

grasp of fundamental concepts from probability, statistics, linear algebra and calculus Collaborative, humble and enthusiastic attitude Preferred qualifications, capabilities and skills Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc Experience in deep neural networks and familiarity with the latest developments in related fields Experience in LLM model ...

impactful, production-grade AI solutions for clients across government, healthcare,defenceand commercial sectors. Kainos is at the forefront of AI innovation,trusted by Microsoft, AWS,andothersto deliver advanced AIand datasolutions atcitizenscale. Our 150-strong AI and DataPracticebringstogether deepexpertisein machine learning, generative AI, agenticAIand data. We are pioneers in responsible ...

assisted development tooling including Claude Code, Cursor and Codex Prompt‐driven engineering and AI pair‐programming workflows Cloud & Infrastructure Vercel & GCP preferred, with AWS and Azure also considered Serverless and edge infrastructure AI workload deployment and optimisation CI/CD pipelines and Infrastructure as Code Additional Technical Experience REST ...

Desirable skills/knowledge/experience: Experience with Python as a primary language, alongside SQL and Bash. Experience working with cloud platforms such as AWS, Azure, or GCP. Experience with data quality frameworks and data observability tools. Relevant professional certifications, including SAFe, PMP, or Agile certifications. Prior experience supporting enterprise ...