1,176 to 1,200 of 4,843 AWS Jobs in the UK

role • Proven experience in enterprise architecture, projects specifically in AI/ML systems design • Deep understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, Azure, GCP) • Strong experience with data architecture, pipelines and governance (e.g., data lakes, ETL, MLOps) • Knowledge of regulatory and ethical considerations in AI systems • Excellent leadership, communication and stakeholder engagement More ❯

BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving problems with minimal or no direction … Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake Understanding of AWS cloud and fundamental services like IAM, Lambda, S3 etc. Experience of liaising with both in-house and third party development teams, across different geographical sites Skilled at writing and understand … Python code especially those using AWS boto3 APIs Good understanding of replication software such as DMS Desirable criteria Very good SQL skills Past experience and solid understanding of end to end Data Warehouse, Data Lake and BI design and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data More ❯

BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving problems with minimal or no direction … Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake Understanding of AWS cloud and fundamental services like IAM, Lambda, S3 etc. Experience of liaising with both in-house and third party development teams, across different geographical sites Skilled at writing and understand … Python code especially those using AWS boto3 APIs Good understanding of replication software such as DMS Desirable criteria Very good SQL skills Past experience and solid understanding of end to end Data Warehouse, Data Lake and BI design and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data More ❯

technologies (e.g. Maven, Spring Boot etc) Good knowledge of relational database management systems (RDBMS) such as PostgreSQL Experience in developing interactive products with realtime technologies (e.g. Websocket) Experience with AWS services (S3, EC2, RDS, DynamoDB, ElastiCache etc) Working basic knowledge of infra technologies and processes (deployment, contracts, gRPC etc) to co-design solutions with our other engineers Working knowledge of More ❯

can expect to be involved in the following: Building responsive web applications using Angular (modern) Developing scalable Python microservices , containerised with Docker Working on cloud infrastructure with Kubernetes on AWS Helping to expand the product portfolio during a key period of rapid growth SKILLS AND EXPERIENCE The successful Graduate Software Engineer will have the following skills and experience: Degree in More ❯

at AXA, please don't hesitate to apply. What you'll bring: Experienced DevOps Engineer with expertise in cloud environments, primarily Azure, but also familiarity with Google Cloud and AWS is also valid. Proficient in a tech stack that includes React.js, Python, .NET, JavaScript, and Azure API Management (AAPIM). Strong understanding of API and SaaS application integration and monitoring More ❯

platforms, with a strong emphasis on modern cloud ecosystems and real-time data. Key responsibilities will include: - Designing and developing scalable data pipelines and storage solutions in cloud environments (AWS, Azure, GCP) - Writing complex queries against relational and non-relational databases - Leading or contributing to key projects involving technologies like Databricks, Snowflake, BigQuery and Fabric - Applying software engineering best practices … Familiarity with modern data platforms such as Databricks, Snowflake or Microsoft Fabric - Solid understanding of software engineering principles and SDLC best practices - Demonstrated success working across multiple cloud platforms (AWS, Azure, or GCP) - Excellent communication and collaboration skills with technical and non-technical stakeholders - A proactive, delivery-oriented mindset with a passion for learning and solving hard problems Skills: Data More ❯

training to deployment and beyond. The role could be extended to a longer DevOps contract. What You'll Do - Design and build an end-to-end MLOps pipeline using AWS , with a strong focus on SageMaker for training, deployment, and hosting. - Integrate and operationalize MLflow for model versioning, experiment tracking, and reproducibility. - Architect and implement a feature store strategy for … for engineering and data teams to adopt new MLOps practices. What We're Looking For - 3+ years of experience in MLOps, DevOps, or ML infrastructure roles. - Deep familiarity with AWS services , especially SageMaker , S3, Lambda, CloudWatch, IAM, and optionally Glue or Athena. - Strong experience with MLflow , experiment tracking , and model versioning. - Proven experience setting up and managing a feature store More ❯

with .Net (C#) Proficiency in frontend development across Angular, Typescript, Javascript, HTML, CSS Strong database skills with SQL Server, MySQL, and PostgreSQL Familiarity working within a cloud environment, particularly AWS or Azure Experience maintaining and modernising legacy systems Experience working in a client-facing or business-facing technical role This is a full-time, permanent role, offering a starting salary More ❯

in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Cloud platforms (AWS/Azure/GCP) Experience with AI governance and responsible AI practices Understanding of public sector data requirements and compliance Outstanding communication and stakeholder management skills Demonstrated ability to translate More ❯

in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Cloud platforms (AWS/Azure/GCP) Experience with AI governance and responsible AI practices Understanding of public sector data requirements and compliance Outstanding communication and stakeholder management skills Demonstrated ability to translate More ❯

multifactor authentication and single sign-on. Key Responsibilities: Cloud Identity & Access Management: Lead and manage the design, implementation, andongoing optimization of cloud-based identity solutions, including Azure Active Directory, AWS IAM, and other cloud IAM services. Identity Federation & Single Sign-On: Configure and manage identity federation (SAML, OAuth, OpenID) and Single Sign-On (SSO) integrations across multiple cloud applications and … Microsoft Active Directory. Experience with Privileged Identity Management, MFA, and Conditional Access Policies. Working knowledge of all aspects of DNS. Knowledge of scripting and automation tools (PowerShell, Azure CLI, AWS CLI, Python, etc.) to automate tasks and streamline processes. Proficiency in Infrastructure as Code (IaC) tools, preferably Terraform. Ability to troubleshoot complex identity-related issues in cloud environments and implement More ❯

across diverse teams and stakeholders. Essential criteria: Experience in designing and implementing cloud-based solutions, preferably in a government or public sector environment. Proficient in cloud platforms such as AWS, Azure, or Google Cloud Platform. Strong understanding of cloud architecture patterns, methodologies, and best practices. Experience with automation tools, containerisation, and DevOps practices. Knowledge of security practices and compliance requirements … problem-solving skills, with a focus on innovation and efficiency. Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Relevant cloud certifications (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert). Desirable criteria: Knowledge of Automated Access Control Systems. Degree in Computer Science, Information Technology, or technical related field. Job Offer More ❯

to promote self-service. Take calculated risks, champion new ideas, and cultivate your craft. What You Bring 5+ years of applicable experience Experience managing cloud platforms such as Azure, AWS, or similar. Experience operating in Kubernetes platforms like AKS, EKS, or similar. Experience using managed languages such as Python, Go, C#, Java, or similar. Experience utilizing CI/CD platforms More ❯

at scale Are familiar with the ML development lifecycle and have a broad understanding of data extraction, feature engineering, modelling and evaluation techniques. Have experience with Cloud infrastructure (ideally AWS), DevOps technologies such as Docker or Terraform and CI/CD processes and tools. Have previously worked with MLOps tools like MLFlow and Airflow, or on common problems such as … have Experience deploying LLMs and agent-based systems Our technology stack Python and associated ML/DS libraries (scikit-learn, numpy, pandas, LightGBM, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, ECR, Athena, etc. MLOps: Terraform, Docker, Spacelift, Airflow, MLFlow Monitoring: New Relic CI/CD: Jenkins, Github Actions More information: Enjoy fantastic perks like private healthcare More ❯

necessary for seamless execution of data science and machine learning tasks. Support tech stack evolution, by developing across our existing technology stack while contributing to our migration into the AWS cloud, leveraging and adopting the latest services available in that environment. Build and maintain a robust and scalable infrastructure to support pre-computed, batch and real-time model needs, ensuring … 2+ years of ML engineering experience, focused on building modern ML infrastructure catering all stages of a model lifecycle, including development, deployment, management and monitoring. Hands-on experience with AWS Have a good grasp of IaC (Infrastructure-as-code) tools like Terraform and CloudFormation. Previous exposure to additional technologies like Python, Spark, Docker, Kubernetes is desirable. Ability to develop across More ❯

to promote self-service. Take calculated risks, champion new ideas, and cultivate your craft. What You Bring 5+ years of applicable experience Experience managing cloud platforms such as Azure, AWS, or similar. Experience operating in Kubernetes platforms like AKS, EKS, or similar. Experience using managed languages such as Python, Go, C#, Java, or similar. Experience utilizing CI/CD platforms More ❯

including incident response, resolution, and post-mortem analysis. Proficiency in monitoring, alerting, and observability tools such as Prometheus, Grafana, ELK stack or Datadog. Experience with cloud platforms such as AWS, Azure, or GCP, including infrastructure as code tools like Terraform or CloudFormation. Strong scripting and automation skills, with proficiency in languages such as Python, Bash, or Go. Excellent communication and More ❯

creating internal dashboards and tools DevOps automation background with CI/CD pipelines and deployment orchestration Financial systems curiosity with interest in understanding complex trading operations Cloud platform exposure (AWS, Azure, GCP) for scalable automation solutions Highly motivated with strong self-direction and problem-solving capabilities Curious mindset eager to understand the inner workings of complex trading systems Detail-oriented More ❯

Developer/Engineer with a strong knowledge of modern best practice You have strong Python backend development skills, ideally also C# coding skills You have a good knowledge of AWS You have experience of working on highly scalable systems You have a strong knowledge of Computer Science fundamentals such as OOP, Data Structures, Design Patterns You have experience with, or More ❯

leading large-scale transformations, implementing DevOps pipelines, working to build, test and deploy into cloud native environments. Deep understanding and experience in the latest tools and technologies such as: AWS, Terraform, Ansible, Kubernetes, Jenkins, Git/Gitlab and a deep understanding of software languages and an appreciation of Microservices patterns and SOA. Experience of coaching and training teams in optimising More ❯

effectively with cross-functional teams across multiple time zones with with remote stakeholders BS degree in Computer Science or related engineering field Nice to Have Experience with Airflow, Celery, AWS and/or Azure, Postgres Experience with API platform development Experience with Go More ❯

reporting tools (e.g., Looker, Power BI, or similar). Familiarity with containerization and CI/CD tools (e.g., Docker, GitHub Actions). Knowledge of networking and cloud infrastructure (e.g., AWS, Azure). Experience with modern data processing frameworks (e.g., dbt, Apache Airflow, Spark, or similar). Requirements A strong focus on system observability and data quality. Emphasis on rapid scalability More ❯

a modern data team's stack - we use Fivetran, Snowflake, dbt, Mixpanel and Omni An interest in infrastructure and observability-especially in complex, event-driven systems (we run on AWS) Familiarity with MongoDB or experience working with healthcare data systems and standards About the Tech Team Our tech team aims to create seamless technology that improves patient experience, empowers our … and we have extensive analytics tooling using Fivetran, Snowflake, DBT, Mixpanel and Omni to enable data driven decisions across the business. We have robust monitoring, logging and reporting using AWS Cloudwatch and Sentry, and collaborate using Git, Slack and Notion. We are very aware that the products we build are relied on to provide care and keep security and stability More ❯

and Pytest. Building and maintaining microservices. Implementing REST APIs. Version control with Git and using IDEs like Pycharm. Comfort with documentation and experimenting with new technologies. Knowledge of Docker, AWS, Github Actions. Strong communication skills. Creativity, passion, eagerness to learn, problem-solving skills. Final technical interview with the hiring manager and team member. Our Values Embrace being human. Strive for More ❯