2,976 to 3,000 of 7,177 AWS Jobs in the UK

developing high-quality software in Python. Experience of developing backend services, APIs and data engineering pipelines. Experience of using cloud platforms such as AWS or Azure, Docker, Git and CI/CD. Experience of designing or developing machine learning and AI systems, including Large Language Models. Experience of completing code ...

stays connected to customer value. You’ll contribute to a culture where everyone thinks about reliability, not just the "platform person". Our stack AWS, MongoDB, GraphQL, React, TypeScript, Python, Terraform. We have strong DORA metrics, we pair program, we deliver value in small increments and observe change. The tooling … looking for You have: 5+ years of software engineering experience, with meaningful time spent in DevOps, SRE, or platform engineering roles Deep experience with AWS and infrastructure‐as‐code (we use Terraform, SST/CDK) A strong grasp of what it takes to keep production systems reliable: CI/ ...

infrastructure and workflows Skills and experience as the Senior Data Engineer: Passionfor building scalable, resilient cloud data platforms Strongexperience with Databricks or Snowflake on AWS ProvenPython skills, including Spark and Airflow expertise AdvancedSQL skills and end-to-end data modelling experience Experiencebuilding batch and real-time data integrations Hands-onCICD ...

Playing a pivotal role in the backend engineering team, you will help to build full-stack cloud apps. You'll be using Python and AWS Cloud services on the backend. Adopt a Server-less first approach to application design, collaborating within an agile team alongside other backend engineers and product ...

Excellent stakeholder engagement, mentoring, and knowledge transfer capabilities. Skills We'd Like Experience migrating data integration workloads to cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. Knowledge of modern data engineering, data warehousing, and analytics ecosystems. Additional Requirements Candidates must be eligible to obtain and maintain ...

remaining hands-on in the design and delivery of platform capabilities. Key Responsibilities Define and evolve the technical strategy, architecture, and roadmap for a AWS cloud platform. Design and build scalable, secure, resilient, and reusable platform capabilities. Develop self-service tooling and services that abstract operational complexity and improve developer ...

Excellent stakeholder engagement, mentoring, and knowledge transfer capabilities. Skills We'd Like Experience migrating data integration workloads to cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. Knowledge of modern data engineering, data warehousing, and analytics ecosystems. Additional Requirements Candidates must be eligible to obtain and maintain ...

remaining hands-on in the design and delivery of platform capabilities. Key Responsibilities Define and evolve the technical strategy, architecture, and roadmap for a AWS cloud platform. Design and build scalable, secure, resilient, and reusable platform capabilities. Develop self-service tooling and services that abstract operational complexity and improve developer ...

meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.Flexibility to work your way You will be encouraged to have a positive work-life balance. Our hybrid ...

patterns used to deploy AI solutions at enterprise scale. Engineering and cloud foundations. Strong understanding of software engineering, data architecture and cloud platforms (Azure, AWS or GCP), with experience delivering scalable, production-grade solutions. Enterprise data expertise. Experience integrating enterprise data into AI solutions, including data modelling, ingestion pipelines, governance ...

problem-solving skills. Ability to work effectively within a high-pressure production environment. Desirable Skills Experience with cloud-based database services such as: AWS RDS Azure SQL Database Google Cloud SQL Automation experience using Ansible . Awareness of Apache Tomcat and JVM environments. Experience supporting Very Large Databases (VLDBs) . ...

maintainable Python applications Experience developing and deploying well-tested Generative AI applications, using relevant frameworks such as LangGraph/LangChain, Strands SDK, Anthropic SDK, AWS Bedrock, or CrewAI Experience in machine learning development, including training, evaluating, deploying, and monitoring models Experience with deep learning or NLP frameworks, such as PyTorch … highly valued skills may include: Experience supporting or mentoring colleagues within machine learning engineering or software development teams Experience with cloud platforms such as AWS, Azure, or GCP, or ML platforms such as Databricks Exposure to evaluating LLM-based applications, including AI-as-a-judge approaches Experience with Generative ...

automated security‐control validation and Zero Trust principles. Experience with Privileged Access Management. Previous experience working within regulated environments, particularly financial services. Exposure to AWS, GCP or wider multi‐cloud environments. Microsoft AZ‐500 and SC‐200 certifications are strongly preferred, with SC‐100, SC‐300 or AZ‐104 also ...

Codex, Cursor) to improve development workflows.* Work with relational databases (MySQL and/or PostgreSQL) and in-memory storage/caching solutions (e.g., Redis, AWS ElastiCache).* Understand the AWS ecosystem and basic DevOps practices.* Apply knowledge of microservices, microfrontends, BFFs, and asynchronous communication systems (e.g., RabbitMQ, Apache Kafka, Amazon ...

ecosystem. Proven production experience with Java, SpringBoot, MySQL, Message System & GIT. Has worked with Domain Driven Design, and Clean, or Hexagonal Architecture. Knowledge of AWS services (SQS, SNS, S3...), ElasticSearch, Redis, Docker, Kubernetes. Experience with Restful APIs. Proven ability to break down ambiguous technical tasks into clean, production-ready code ...

data platforms and pipelines, develop production-ready models, create intuitive dashboards, and help support strong data governance, privacy, and compliance. Leveraging modern tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM) you will integrate diverse data, run experiments tied to key performance indicators, and deliver actionable insights. This program offers hands … principles, including prompt engineering, with experience handling large, complex datasets. Use programming languages such as SQL and Python. Use data & artificial intelligence tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM). Understanddata management and governance, including data platforms, pipelines, models, taxonomies, metadata, lineage, privacy, and regulatory compliance. Applystrong quantitative and analytical ...

relational and NoSQL databases. Strong understanding of CI/CD pipelines, Git, DevOps practices, and modern engineering methodologies. Experience working with cloud platforms, ideally AWS, with exposure to Azure or Google Cloud also beneficial. Ability to develop robust, maintainable, and scalable solutions in a commercial environment. Willingness and flexibility ...

technical processes properly documented. Mentor DevOps Application Engineers and help improve team knowledge, skills and service delivery. Good understanding of Azure design, not just AWS, because Azure is set up and managed differently. Relevant qualification in IT, Computing or Business Administration. Around 5+ years' experience in a senior ...

operational databases, OLTP workloads, or transactional cloud database services , ideally within large or strategic accounts. Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. Understanding of reverse ETL, real-time decisioning, and operational analytics use cases ...

meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.## **Why you should consider Capgemini**Growing clients’ businesses while building a more sustainable, more inclusive future ...

Storage technologies, including underlying fabric Virtualisation technologies such as VMware and Microsoft Hyper-V Cloud Infrastructure/Platforms such as Azure and AWS Networking LAN/WAN technologies, including Cisco and Juniper Application layer technologies, including Microsoft SQL and Exchange Backup/Replication Technologies such as Veeam and Skykick Unified ...

considered for the role Previous technical experience in at least 4 of the following: Experience of SAS Administration or support Experience in AWS and/or Azure Experience in Kubernetes Experience in systems support, user support, customer support, consulting, or training for enterprise class software and/or hardware Experience ...

Risk Management, Customer & Broker Management* Expertise in data modelling techniques (ER Modeling, Dimensional Modeling, Data Vault).* Strong experience with cloud platforms: Microsoft Azure, AWS, Google Cloud Platform (preferred)* Experience with modern data technologies: Azure Data Factory, Azure Synapse Analytics, Databricks, Snowflake, Microsoft Fabric (preferred)* Strong SQL and database expertise … meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.* You will be joining one of the World’s Most Ethical Companies, as recognised by Ethisphere ...

maintainable Python applications Experience developing and deploying well-tested Generative AI applications, using relevant frameworks such as LangGraph/LangChain, Strands SDK, Anthropic SDK, AWS Bedrock, or CrewAI Experience in machine learning development, including training, evaluating, deploying, and monitoring models Experience with deep learning or NLP frameworks, such as PyTorch … highly valued skills may include: Experience supporting or mentoring colleagues within machine learning engineering or software development teams Experience with cloud platforms such as AWS, Azure, or GCP, or ML platforms such as Databricks Exposure to evaluating LLM-based applications, including AI-as-a-judge approaches Experience with Generative ...

APIs Practical experience with TypeScript, React and modern frontend development Understanding of distributed systems, containers and cloud-native infrastructure Experience working with Kubernetes, AWS and infrastructure as code, such as Pulumi Knowledge of artificial intelligence, multimodal large language models and computer vision Experience with API testing and a strong understanding ...