876 to 900 of 8,776 AWS Jobs in the UK

across systems. Exploring LLMOps, evaluation tools, and model observability platforms like TruLens and LangSmith. Deploying solutions on modern cloud and DevOps environments (AWS, Azure, GCP) – but always choosing the right tools for the problem at hand. Constantly learning, testing, and sharing findings across our internal AI community. Qualifications Essential requirements … integrating models with APIs, data sources, or production systems. Curiosity about LLMs, RAG pipelines (Graph & Vector based), and agent frameworks. Understanding of cloud‐native (AWS/GCP/Azure) and DevOps/DevSecOps practices. A collaborative mindset and willingness to share, learn, and teach. Understanding of prompt and context engineering ...

Insight, Engineering, Product and Commercial functions Experience working with AI technologies to accelerate software development and business capability is highly desirable Experience with Docker, AWS and/or Google Cloud Platform Advanced SQL (Amazon Redshift, T-SQL) and data modelling Experience developing AI applications using Large Language Models (LLMs), including … prompt engineering, RAG, vector databases, embeddings and commercial AI platforms (e.g. OpenAI, AWS Bedrock) Experience building scalable data products and analytics solutions Expert Power BI development, including semantic models and Power BI Service administration Expert Python development for data, analytics and automation Experience integrating REST APIs and multiple data sources ...

Python and proficiency in other languages (e.g., SQL, R, Java). Strong experience deploying and monitoring machine learning (MLOps) using tools such as MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering high-quality, scalable data science solutions. Expertise in Data Manipulation, ML, and Statistical Analysis coding ...

Python and experience with at least one other core language. Strong expertise in SQL and relational databases. Solid experience with Cloud providers such as AWS, Azure or GCP. Solid experience working with Snowflake and dbt. Strong experience working with different data formats, e.g., CSV, JSON and XML. Expert knowledge ...

Python and experience with at least one other core language. Strong expertise in SQL and relational databases. Solid experience with Cloud providers such as AWS, Azure or GCP. Solid experience working with Snowflake and dbt. Strong experience working with different data formats, e.g., CSV, JSON and XML. Expert knowledge ...

ability to guide peers on safe and effective usage within team practices. Preferred qualifications, capabilities and skills Knowledge of banking/finance. Certification in AWS, Kubernetes (CKE) and Terraform Familiar with databases (SQL or NoSQL). Experience with client/server software architectures & networking, or microservice architectures. Experience with observability ...

with TDD. Experience with infrastructure as code tools like Terraform or similar. Infrastructure as Code (IaC) tools. Hands on experience with cloud platforms (GCP, AWS, or Azure). Familiarity with containerization using Docker and orchestration of deployments. Experience with CI/CD tools and Git-based development workflows. Understanding ...

security controls (prompt security, model governance, secure APIs, orchestration security). AI‐specific threat modelling expertise. Cloud & Security Architecture Strong cloud security background across AWS/Azure/GCP. Experience in secure design of: IAM Zero Trust Network segmentation Data protection and encryption Application and API security Knowledge of SIEM ...

across systems. Exploring LLMOps, evaluation tools, and model observability platforms like TruLens and LangSmith. Deploying solutions on modern cloud and DevOps environments (AWS, Azure, GCP) – but always choosing the right tools for the problem at hand. Constantly learning, testing, and sharing findings across our internal AI community. QualificationsEssential requirements Even … integrating models with APIs, data sources, or production systems. Curiosity about LLMs, RAG pipelines (Graph & Vector based), and agent frameworks. Understanding of cloud-native (AWS/GCP/Azure) and DevOps/DevSecOps practices. A collaborative mindset and willingness to share, learn, and teach. Understanding of prompt and context engineering ...

expertise in: Python PySpark Experience building custom applications and user-facing solutions within Foundry. Strong understanding of distributed systems and microservices architecture. Experience with AWS services such as S3, Glue, Athena, Lambda, Redshift, Textract, and AI/ML services. Experience working with modern data technologies, including Snowflake . Knowledge ...

DevOps toolchainsAbility to troubleshoot complex infrastructure and application issues using monitoring insightsSolid scripting experience (Python, PowerShell) for automation and integrationFamiliarity with cloud platforms (Azure, AWS) and monitoring containerised environments (Kubernetes, OpenShift)Strong problem-solving skills and analytical thinking to draw meaningful insights from dataExcellent communication skills with the ability ...

troubleshoot complex infrastructure and application issues using monitoring insights Solid scripting experience (Python, PowerShell) for automation and integration Familiarity with cloud platforms (Azure, AWS) and monitoring containerised environments (Kubernetes, OpenShift) Strong problem-solving skills and analytical thinking to draw meaningful insights from data Excellent communication skills with the ability ...

platformsExperience designing and building event streaming architectures using technologies such as Apache Kafka and Azure Event HubsStrong working knowledge of Azure and/or AWS cloud services, including compute, storage, serverless, and container orchestration (e.g., AKS, EKS, Azure Functions, Lambda)Solid experience with .NET/C# and SQL Server ...

consulting and client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). ...

work on: Designing and implementing high quality infrastructure as code templates/modules, and empowering software engineers to use them for their projects. Implementing AWS multi-account core infrastructure, and ensuring security best practices are being used across the cloud estate. Authoring CI/CD templates and optimisations to ensure … world-class developer experience to the engineering team. About YouThis role will be a great fit if you have: Good working knowledge of AWS services including ECS, EC2, Lambda, VPC, IAM, Route53, CloudFront, S3, RDSGood understanding of monitoring and logging solutions. We use OpenTelemetry, AWS Cloudwatch and SigNoz so experience ...

cloud provider, hyperscaler, telecommunications carrier, ISP, interconnection platform, or network service provider. Experience integrating with platforms such as Megaport, Equinix Fabric, PacketFabric, Console Connect, AWS Direct Connect, Azure ExpressRoute, or Google Cloud Interconnect. Experience with NetBox, Nautobot, or similar source-of-truth platforms. Experience building customer-facing APIs or self ...

skills Familiarity with credit risk concepts, financial risk frameworks, or related domain knowledge within financial services Experience working with cloud platforms such as AWS or Azure in an enterprise engineering environment Exposure to data visualization tools or reporting frameworks used to communicate risk insights to business stakeholders Knowledge of containerization ...

things, learn new skills and grow your experience. It Would Be Great If You Have Experience of relevant cloud services within AWS, Azure or GCP. Experience working in an Agile environment. Experience working with common vendor products such as Snowflake or Data Bricks. Experience working with CI/CD tooling. ...

analytical, communication, and stakeholder management skills. Hands-on enterprise systems development experience (C#, Java, JavaScript/TypeScript, C++ or similar).Proficiency in cloud platforms (AWS preferred; Azure/GCP), containerisation, and microservices. Strong knowledge of APIs, system integration, and DevOps (CI/CD, infrastructure-as-code, Git).Understanding of security ...

skills Familiarity with credit risk concepts, financial risk frameworks, or related domain knowledge within financial services Experience working with cloud platforms such as AWS or Azure in an enterprise engineering environment Exposure to data visualization tools or reporting frameworks used to communicate risk insights to business stakeholders Knowledge of containerization ...

ability to guide peers on safe and effective usage within team practices. Preferred qualifications, capabilities and skills Knowledge of banking/finance. Certification in AWS, Kubernetes (CKE) and Terraform Familiar with databases (SQL or NoSQL). Experience with client/server software architectures & networking, or microservice architectures. Experience with observability ...

Python and experience with at least one other core language. Excellent experience of SQL and relational databases. Solid experience of Cloud providers such as AWS, Azure or GCP. Solid experience of working with Snowflake and dbt. Strong experience of working with different data formats, e.g., CSV, JSON and XML. Expertise ...

security controls (prompt security, model governance, secure APIs, orchestration security).AI‐specific threat modelling expertise. Cloud & Security Architecture Strong cloud security background across AWS/Azure/GCP.Experience in secure design of: IAMZero TrustNetwork segmentationData protection and encryptionApplication and API securityKnowledge of SIEM, IAM, CASB, container/Kubernetes security. Experience ...

industry standard IdP solutions like EntraID, Okta, etc. Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred). Show a track record of independent ownership of successful engineering projects. Possess excellent communication and collaboration skills, and the ability to translate complex … technical stakeholders. Nice to haves: Experience securing API access and implementing access control mechanisms at the application level. Multi‐cloud infrastructure experience – AWS, Azure, GCP, and more. Proficiency in integrating IAM solutions with applications built using frameworks such as Java, Python, Node.js, or .NET. Mentorship/leadership experience supporting junior ...

ability to write complex SQL queries. Project experience using one or more of the following technologies: Tableau, Power BI, Cloud, Azure, AWS, GCP, Snowflake) and their integration with Databricks. Experience with data ingestion, transformation, and quality control processes. Excellent problem-solving skills and the ability to think critically under pressure. ...