1,126 to 1,150 of 4,898 AWS Jobs in the UK

management and DevOps practices with DevOps tools. (Example., Azure DevOps, Flosum, etc.,) Experience integrating with third-party platforms using REST/SOAP APIs. Familiarity with cloud platforms (Example., Azure, AWS, Google Cloud) Database experience (Example., SQL, DB2, SOQL/SOSL, etc.) Qualifications: Bachelors degree in computer science, information systems, or related area (Or international equivalent) 5+ years of hands-on More ❯

management and DevOps practices with DevOps tools. (Example., Azure DevOps, Flosum, etc.,) Experience integrating with third-party platforms using REST/SOAP APIs. Familiarity with cloud platforms (Example., Azure, AWS, Google Cloud) Database experience (Example., SQL, DB2, SOQL/SOSL, etc.) Qualifications: Bachelor’s degree in computer science, information systems, or related area(Or international equivalent) 5+ years of hands More ❯

layers for service-oriented architectures Nice-to-have C#/.NET or Java experience for writing micro-services that wrap data logic Exposure to cloud SQL services (Azure SQL, AWS RDS, or GCP Cloud SQL) Familiarity with AI-assisted coding/documentation tools (GitHub Copilot, ChatGPT, Tabnine) Soft Skills: Strong problem-solving and analytical skills, with a detail-oriented mindset More ❯

ideally with tools like Rapid7 Excellent communicator with the ability to influence at all levels Passionate about cloud innovation and continuous security improvement Microsoft Azure Security Engineer Associate or AWS equivalent Cyber Essentials/NCSC certification (or similar) Why Join? Be part of a high-profile modernisation programme at a critical juncture Join a newly formed Cloud Centre of Excellence More ❯

pragmatic, problem-solving mindset-able to work effectively with limited resources. My profile Experience integrating low-code platforms with modern data stacks. Familiarity with cloud data infrastructure (e.g. Azure, AWS). Background in business process design or improvement . And what do we have to offer you? Opportunities for continuous professional development thanks to a company focused on career-long More ❯

Anti-malware, EDR, IDS, WAF, DLP). Research and Intelligence Gathering: Proficiency in OSINT tools like Shodan and VirusTotal. Cloud Security Knowledge Knowledge of cloud technologies and security (e.g., AWS, Azure, Alibaba, Google Cloud), with skills in performing investigations, log analysis, and incident response is desirable OT/IOT Understanding of OT environments and security is desirable but not essential … other teams, and build streamlined cross-departmental processes. Automation Development Identify repetitive tasks and develop automation ideas. Collaborate with automation teams to build capabilities using platforms like CrowdStrike Fusion, AWS Lambda, Azure Logic Apps, XSOAR, and Python scripts. Languages Good experience in query languages like KQL and Logscale for investigations and log analysis is highly desirable Managing Relationships: Develop and More ❯

of Reactive Programming Techniques in conjunction with asynchronous event processing and data streams, with tools such as Spring Webflux, RxJava, Akka etc. Any experience with frontend Angular development or AWS cloud is highly beneficial. Industry experience within Financial Services, preferably within the Payments arena If you are passionate about building real-time software and keen to join a growing fintech More ❯

key stakeholders across the business. Required Skills and Experience Has 5+ years commercial experience Expert level in (Javascript Typescript Python) Familiar with Postgres and K8s Feels at home in AWS console Has built infrastructure with Terraform Bonus points Has worked in an intelligence collection setting Experience with "big data" technologies, the management of data, and data pipelines Familiarity with functional More ❯

architectures in cloud and hybrid environments. Expertise in data modelling, SQL, and platforms like Snowflake, dbt, Power BI, and Databricks. Fluency in Python and knowledge of multiple cloud providers (AWS, Azure, GCP). Understanding of security principles including role-based access control. Experience with legacy-to-cloud data migration and API integration testing (e.g. using Postman). Experience leading data … and security considerations. Familiarity with Agile methodologies, TDD/BDD, and modern CI/CD practices. Strong communication and stakeholder influence skills. Practical experience with a major cloud platform (AWS, Azure, or GCP). Hands-on experience with Snowflake and dbt. Familiarity with varied data formats including CSV, JSON, and XML. Deep understanding of data modelling and data architecture principles. 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 ❯

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 #LI-RJ1 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 ❯

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 ❯

.NET (C#) Proficiency in Front End 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯