1,176 to 1,200 of 3,107 AWS Jobs in England

Travel, and CloningProficiency in database performance tuning and performance optimisation — clustering, warehouse sizing, caching, etc. Experience configuring external stages to integrate with cloud storage (AWS S3, Azure Blob, etc.).Experience writing Python/Shell scripts for data processing. Expert knowledge of Snowflake (Tidal is an added advantage).Proficiency in using ...

production at scale, including observability, cost and capacity planning, regression detection, and incident response for AI-powered applicationsExperience operating production distributed systems on AWS/Azure, with a strong grasp of reliability, observability, and incident response at scaleDeep knowledge of cloud-native technologies, serverless applications, event-driven architectures, data ...

ideally gained in a consulting company environmentDemonstrated track record of successfully delivering complex, enterprise-grade systems into productionPractical, hands-on knowledge of cloud platforms (AWS, Azure or GCP), modern APIs, integration patterns and Data/AI architectureAbility to define, address and audit non-functional requirements such as security, resilience, scalability ...

/ML frameworks such as LangChain, Semantic Kernel/Agents Framework, TensorFlow, PyTorch or Hugging FaceHands-on experience with cloud platforms, preferably Azure (AWS or GCP also considered)Background in Data, Infrastructure or Solutions Architecture with cross-disciplinary expertiseStrong programming skills in at least two of Python, C#/.NET ...

teams. The skills and experience you needWe are looking for someone who: Has knowledge of cyber security architecture within cloud provider environments such as AWS and/or Azure. Knowledge of Kubernetes is also a bonus. Brings specialist security hardening knowledge in one or more areas including embedded Linux ...

contributing to or designing AI-enabled solutionsExperience using enterprise architecture tools such as LeanIX, Avolution, Orbus, Bizzdesign or similarRelevant certifications (e.g. TOGAF, COBIT, DCAM, AWS/Azure/GCP architecture)Knowledge of DAMA-DMBOKSecurity requirements (mandatory)Please note that any offer and commencement of employment is subject to: Confirmation that ...

contributing to or designing AI-enabled solutionsExperience using enterprise architecture tools such as LeanIX, Avolution, Orbus, Bizzdesign or similarRelevant certifications (e.g. TOGAF, COBIT, DCAM, AWS/Azure/GCP architecture)Knowledge of DAMA-DMBOKSecurity requirements (mandatory)Please note that any offer and commencement of employment is subject to: Confirmation that ...

support tools, or AI applications that have influenced strategic, operational, or investment outcomes. Familiarity with modern cloud data platforms and technologies, including Databricks, Snowflake, AWS, Azure, or GCP.Experience working in embedded, investment-facing, consulting, or front-office analytics teams where business adoption and impact are critical measures of success. Familiarity ...

degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valuedNice to Have: Databricks certificationsPrior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI companyPublished thought leadership (blogs, conference talks, open source contributions)Industry vertical expertise with executive-level domain ...

engineering fundamentals and advanced Python expertise, with a focus on building resilient, enterprise-ready systems. You demonstrate deep hands-on experience with cloud platforms (AWS, Azure, GCP), scalable cloud architectures, container orchestration (Docker, Kubernetes), agent sandboxing, and end-to-end cybersecurity. You possess mastery over the full ML lifecycle, with ...

engineering fundamentals and advanced Python expertise, with a focus on building resilient, enterprise-ready systems. You demonstrate deep hands-on experience with cloud platforms (AWS, Azure, GCP), scalable cloud architectures, container orchestration (Docker, Kubernetes), agent sandboxing, and end-to-end cybersecurity. You possess mastery over the full ML lifecycle, with ...

possess strong Python skills and solid experience in software engineering best practices. You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security. You've worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scaleYou ...

possess strong Python skills and solid experience in software engineering best practices. You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security. You've worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scaleYou ...

maintain a strong and supportive relationship with customers. Who you areDeveloping and maintaining infrastructure-as-code (e.g. Terraform, Ansible)Cloud platform knowledge (GCP, AWS, Azure)Active & compelling engagement of people and stakeholders, across a broad range of internal and external stakeholdersDelivering platform operations in a complex & dynamic technology environment. Developing ...

hardware and OS configurations, diagnostic tooling, networking nuts and boltsDeep familiarity with containers (Docker) and orchestration (Kubernetes) at scaleExperience working with a cloud provider (AWS/Azure/GCE), or sysadmin/SRE experience in data centersExperience designing, building, and operating high-scale observability or infrastructure systemsWorking knowledge of networking ...

/full stack developmentComfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworksWorking knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least oneDeep experience with distributed computing with Apache Spark and knowledge of Spark runtime internalsFamiliarity with CI/ ...

PySpark, the PyData stack, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions such as AWS, GCP, and AzureFamiliarity with Generative AI (GenAI) and agentic systems is a strong plusExcellent time management skills to handle responsibilities in a complex and largely ...

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

designing architectures that enable trusted, governed, and scalable AI adoption, underpinned by strong data foundations using platforms such as Azure AI Foundry, Databricks, Snowflake, AWS Bedrock, GCP Vertex etc. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days ...

product and technical goals. What you will need10+ years of software engineering experience building and scaling production systems with Python, Django, React, MongoDB, and AWS, including significant experience operating at the Senior Staff level. Strong product mindset with a focus on impact, reliability, and customer value, combined with strong product ...

DevOps concepts, CI/CD, and modern software delivery practicesHands-on experience with tools such as Jenkins, Git, Kubernetes, Docker, and cloud platforms (AWS, Azure, GCP)The ability to make complex technical concepts land with both engineers and executivesComfort with the pace and ambiguity of a fast-moving companyExisting right ...

solutions across cloud, hybrid, and on-premises environments, with strong knowledge of Microsoft Azure and at least one additional public cloud platform, such as AWS or GCP. Security Frameworks & Standards: Experience applying recognised security frameworks, standards, and methodologies, including ISO 27001/27002, NIST CSF, CIS Controls, CAF, and Secure ...

error handling. Frameworks: Strong understanding of ITSM, ITAM, VR, and ITIL (specifically CI and asset lifecycle management).Infrastructure Knowledge: Familiarity with cloud platforms (AWS, Azure, GCP), virtualization (hypervisors, containerization), and Infrastructure as Code (IaC).Data Mastery: Proven experience in data analysis, reporting, and complex data quality governance. Soft Skills: Exceptional ...

versioning, reproducibility, monitoring and deployment handover. Experience with at least one modern cloud data or analytics platform, such as Snowflake, Databricks, Microsoft Fabric, Azure, AWS or GCP. MSc or equivalent experience in Data Science, Statistics, Mathematics, Computer Science, Artificial Intelligence, Physics, Engineering or a related quantitative discipline. Experience with Spark ...

Analytics/Science, Artificial Intelligence and Robotics- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials- Demonstrating proficiency in AI implementation and machine learning libraries- Utilizing complex data analysis ...