3,601 to 3,625 of 7,475 AWS Jobs in the UK

Science)Strong SQL skills, and comfortable working with large, complex datasets in dbtStrong communication and stakeholder management skillsHands-on experience with cloud tech (e.g. AWS, GCP or Azure) and a modern cloud warehouse (e.g. Redshift, Snowflake, BigQuery)Fluency with modern BI tools (e.g. Looker, Mode etc.) and what it takes ...

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 ...

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 Manage Mentor, Cybersecurity qualifications and much more. Why we’re different At Capgemini, we help organisations across the world become more agile, more ...

Machine Learning, Computer Science, or related discipline Experience working within global delivery teams or a consulting/professional-services environment Professional certifications such as AWS Certified Machine Learning Specialty, Google Cloud ML Engineer, or Azure AI Engineer Associate #J-18808-Ljbffr ...

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 ...

expertise with HelmFamiliarity with DevOps practices, CI/CD pipelines, and tools like Git for version controlYou have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualizationYou excel in fast-paced environments and can execute while priorities and objectives are a moving targetFull-Time Employees at Cohere enjoy ...

distributed systems, or ML platforms).Platform Domain Expertise: 3+ years of dedicated experience managing programs focused directly on core engineering infrastructure, cloud-native ecosystems (AWS/GCP), container orchestration (Kubernetes), or distributed systems.AI/ML Infrastructure Literacy: Foundational understanding of the infrastructure required for the Generative AI lifecycle, including high ...

procedures, and troubleshooting guidelines, and facilitate knowledge sharing among team members to ensure operational continuity and efficiency. Cloud Environment Management: Manage cloud environments (e.g., AWS, Azure, GCP) where security tools are deployed, optimizing resource utilization and cost-effectiveness while adhering to security best practices. Infrastructure Provisioning: Provision and manage ...

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 ...

workflows, telemetry or observability concepts, and analyst tooling environment Familiarity with NIST, ISO, Zero Trust, or similar security frameworks. Experience with cloud platforms (Azure, AWS, GCP), security tools, automation, AI/ML-enabled products, Data Science or enterprise platforms. Knowledge of CI/CD, security workflows, governance, and data products. ...

other teams and systems.Your primary toolset in your work will be Java microservices, Spark/Scala data processing (also some Flink), Kubernetes and AWS native tooling.What You'll Do: Write highly fault-tolerant Java code within Apache Spark to produce platform products used by our customers to query our event ...

that serve your own work. Hands-on with a major cloud and its managed AI services (Azure and AI Foundry, or the GCP/AWS equivalents), plus solid SQL and relational modelling. Architectural judgement: you make the design call, defend the trade-offs, and know where an LLM system needs ...

experience: Embedding AI capabilities directly into a product or process (LLM-powered features, AI APIs, agents, or similar).Cloud experience: Hands-on work with AWS or Azure, deploying and managing services in production environments.Full-stack and serverless experience: Working across frontend, backend, APIs, and data, including serverless technologies (Lambda, event ...

procedures, and troubleshooting guidelines, and facilitate knowledge sharing among team members to ensure operational continuity and efficiency. Cloud Environment Management: Manage cloud environments (e.g., AWS, Azure, GCP) where security tools are deployed, optimizing resource utilization and cost-effectiveness while adhering to security best practices. Infrastructure Provisioning: Provision and manage ...

teams who are responsible for the following:Designing, implementing, documenting, and maintaining software solutions.Full stack development using Front End technologies such as React, integrating AWS services and open source tooling, using a variety of different databases (e.g. MongoDb or ElasticSearch) and developing in Java, TypeScript or Python.Integration of AI into ...

ambiguous, fast‐moving environments where requirements evolve quickly. A bias toward ownership, pragmatism, and delivering useful solutions. Nice to Have Experience with cloud platforms (AWS, GCP, Azure) and infrastructure telemetry. Familiarity with distributed systems, monitoring data, or usage-based billing data. Experience supporting customer-facing data products or platforms. What ...

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. Shared energy You’ll be bringing your unique skills and perspectives to the team, inspiring and taking ...

threats.Nice to Have:Experience in one or more specialized security domains is a plus – for example, DevSecOps pipeline security, cloud security architecture (Azure/AWS), network segmentation, AI governance, advanced identity management, red-team/pentesting, or enterprise vulnerability management tools.Familiarity with regulated industries (e.g., healthcare, financial, defense) and related ...

Weights & Biases).Demonstrated experience with interpretable AI techniques.What Would Make You Stand Out:Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake).Advanced degree or certification in NLP, ML, or related fields.Familiarity with DevOps practices and tools.Hands-on experience with experimentation and model tracking tools (e.g. ...

infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate ...

stakeholders.Stack Proficient: You have experience working with a modern analytics stack, including SQL, GitHub, Python, BI tooling (e.g., Tableau), and native cloud services like AWS or GCP.What will set you apart:Orchestration Mastery: Deep experience with data orchestration tooling such as dbt or dataform.Platform Specifics: Hands-on experience with Databricks.Modeling ...

Biases). Demonstrated experience with interpretable AI techniques. What Would Make You Stand Out: Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake). Advanced degree or certification in NLP, ML, or related fields. Familiarity with DevOps practices and tools. Hands-on experience with experimentation ...

using version control such as Git, or similar. What you’ll learn: Python/Scala Scalable systems design within a modern cloud-based environment (AWS) Practising a product-oriented mindset with a focus on solving real business problems Software engineering best practices, such as testing, clean coding standards, code reviews ...

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’ll be bringing your unique skills and perspectives to the team, inspiring and taking inspiration from ...

assess and articulate risk through a severity and likelihood lens, bringing teams along instead of acting as a blocker.Nice-to-haves:Experience with AWS security (IAM policies, Security Hub, GuardDuty).Familiarity with ElasticSearch/ELK stack.Exposure to infrastructure-as-code (Terraform) and container security.Knowledge of compliance frameworks ...