51 to 75 of 377 AWS Jobs in the Thames Valley

development Experience of Bayesian modelling Good understanding of software design principles and best practices Good knowledge of at least one object-oriented language Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and infrastructure-as-code tools (e.g., Terraform) How to Apply To apply, submit a CV and a supporting statement by email to jobs@alloyed.com. The supporting statement should explain More ❯

development Experience of Bayesian modelling Good understanding of software design principles and best practices Good knowledge of at least one object-oriented language Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and infrastructure-as-code tools (e.g., Terraform) How to Apply To apply, submit a CV and a supporting statement by email to jobs@alloyed.com. The supporting statement should explain More ❯

Looking For 2–4 years’ experience as a software engineer (or equivalent commercial experience) Strong knowledge of React, TypeScript, and Next.js Experience with GCP or another cloud provider (e.g. AWS, Firebase, or Azure) Understanding of API design and asynchronous data handling Familiarity with CI/CD workflows and version control (Git) Strong problem-solving skills and attention to detail Comfortable More ❯

C#) or winforms/WPF (C#) development. Our client will provide you with training into: .NET 9, WPF, MVVM, Prism, JavaScript, React, Angular 19, Microservices, MongoDB, Vue.js, TypeScript, Azure, AWS, Web API 2, Entity Framework, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and Azure SQL.You will follow the firms official career progression programme. This is coupled with 18 days of More ❯

knowledge of: .NET Core/ASP.NET MVC, C# and Azure SQL. Any experience in the following is desirable: .NET 9, JavaScript, React, Angular 19, Microservices, MongoDB, Vue.js, TypeScript, Azure, AWS, Web API 2, Entity Framework, Node.js, Elasticsearch, Agile, TDD, BDD, Scrum, Kanban and MongoDB. Training will be provided in any of the technologies you lack, allowing you to turn your More ❯

for analysis and self-serve data exploration Redis for caching and task queues GitHub, Codeship and Heroku for seamless code review, integration and deployment Claude Code for agentic coding AWS S3, CloudFront and Lambda for storage and content delivery Cypress for end-to-end testing Third party APIs: OpenAI, Stripe, Twilio, Sendgrid, Mailchimp and more Our tech culture We follow More ❯

Hub, and PDL. Hands-on experience with SQL , Unix/Linux shell scripting , and data warehouse concepts . Familiarity with big data ecosystems (Hadoop, Hive, Spark) and cloud platforms (AWS, Azure, GCP) is a plus. Proven ability to troubleshoot complex ETL jobs and resolve performance issues. Experience working with large-scale datasets and enterprise data environments. Experience in the banking More ❯

platforms and tools such as MLflow, Kubeflow, Vertex AI, SageMaker, or similar model management systems. Practical knowledge of infrastructure as code, CI/CD best practices, and cloud platforms (AWS, GCP, or Azure). Experience with relational databases and data processing and query engines (Spark, Trino, or similar). Familiarity with monitoring, observability, and alerting systems for production ML (Prometheus More ❯

Controlling solution development. Supporting project/product management. Helping develop a testing approach Experience: Working experience in a few of these technologies, e.g., Dell Boomi, Snap Logic, MuleSoft, APIGEE, AWS, Microsoft Azure, SQL/DB, Salesforce, Java/JavaScript, BI/Analytics, etc. (Preferred but not mandatory) Understanding of SaaS, iPaaS, and Data platforms like Salesforce, NetSuite, Boomi, Apigee, Snowflake More ❯

to work with non-technical and technical stakeholders. Comfortable leading Engineers in the following stack: • Typescript/Next.js • Java 11 - 17 • PostgreSQL/Kafka • Cucumber/Cypress/Playwright • AWS/Kubernetes/Terraform Benefits: • 20% bonus • Life assurance • Pension scheme • 25 days annual leave (extra buy-in scheme) + bank holidays • Cycle to work scheme • Flexible/Hybrid working More ❯

in complex production settings Experience with scientific computing, deep learning, big data, or health IT ontologies (e.g., PyTorch, JAX, Spark, HL7, FHIR) (desirable) Familiarity with cloud infrastructure (Azure/AWS), infrastructure as code, Kubernetes, Linux, Docker, data pipelines, and MLOps tools (desirable) Passion for biomedical topics and startup experience (desirable) What’s on offer Competitive salary, bonus scheme, and strong More ❯

in complex production settings Experience with scientific computing, deep learning, big data, or health IT ontologies (e.g., PyTorch, JAX, Spark, HL7, FHIR) (desirable) Familiarity with cloud infrastructure (Azure/AWS), infrastructure as code, Kubernetes, Linux, Docker, data pipelines, and MLOps tools (desirable) Passion for biomedical topics and startup experience (desirable) What’s on offer Competitive salary, bonus scheme, and strong More ❯

AI-assisted development tools is advantageous. Additional Skills That Would Be Beneficial: Experience using Behavior-Driven Development (BDD) tools such as Cucumber or Spock. Background in cloud environments like AWS or distributed system infrastructure. General understanding of network protocols and architecture. Prior experience with media encoding/decoding and video quality assessment methodologies. Proficiency in data science or analytics. Familiarity More ❯

them fluently. Experience with cURL, Postman or Swagger. Solid programming skills in C#, Python and JavaScript/TypeScript. Experience building and integrating APIs. Knowledge of cloud platforms (e.g. Firebase, AWS, GCP) and DevOps tools is a big plus. A builder's mindset — ready to ship fast, learn, and improve continuously. Great communication skills and a collaborative, mentoring approach to teamwork. More ❯

/JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability More ❯

engineering experience, ideally including Java (Java 11+) and Spring Boot. You have proven ability to design and lead backend architectures for complex systems. You are familiar with cloud environments (AWS is mandatory) and container orchestration (Kubernetes). You are experienced in event-driven architectures and messaging platforms such as Kafka. You have strong understanding of RESTful APIs, microservices, and distributed More ❯

eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) Worked with AI development tools (eg. Bolt, Lovable, Cursor) to speed up iteration & prototyping Nice to Have: Worked with real-time data collection and/or processing Worked in an More ❯

control Experience working with JavaScript frameworks such as React, Redux , Vue, Backbone, or Angular. Experience deploying software to at least one of the leading cloud computing platforms (i.e., GCP, AWS, Azure) Understanding of SQL and NoSQL databases Proficiency in object-oriented programming , data structures , algorithms and web application development . More ❯

API development. Collaborate with cross-functional teams including product, DevOps, and data engineering to deliver end-to-end functionality that meets regulatory and business requirements. Leverage modern cloud services (AWS, Azure, or GCP) to deploy, monitor, and scale distributed systems in production environments. Establish and uphold engineering best practices, including CI/CD pipelines, automated testing, and peer code reviews More ❯

Familiarity with vector databases (e.g., Pinecone, Milvus, Weaviate) and semantic search techniques. Strong foundation in cloud infrastructure, networking, security, CI/CD pipelines, and observability. Experience with cloud platforms (AWS, GCP, etc.) or database internals. Proven track record of delivering end-to-end projects and mentoring engineers. Direct experience with ML platforms and MLOps is required. More ❯

webhooks) Hands-on experience with workflow orchestration tools (Temporal, Dagster) Comfortable working with and improving generated code Experience with CI/CD pipelines, Docker, and cloud platforms (Azure/AWS/GCP) Understanding of modern software architecture patterns Disclaimer: Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking More ❯

access management (IAM), network security, and encryption Experience with Git or other version control systems Desirable Knowledge, Skills and Experience: Certifications in Oracle Cloud (OCI) or other cloud platforms (AWS, GCP) Experience with Jira, Confluence, or similar project management tools Knowledge of compliance frameworks and standards (e.g. GDPR, HIPAA, ISO27001, ISO13485) Key Attributes: Collaborative mindset Willingness to learn, cross-train More ❯

Node.js, Python, TypeScript ). Experience with mobile app development (React Native or Flutter) or integration with iOS/Android apps. Backend expertise (databases, APIs, authentication, security). Cloud experience ( AWS/GCP/Azure , Docker, Kubernetes, CI/CD pipelines). Ability to integrate and deploy ML models into production. Startup mindset — ability to deliver with limited resources and wear More ❯

PostgreSQL and Redis. Proven experience with React and TypeScript, including component libraries and data-fetching tools like react-query. Familiarity with infrastructure-as-code tools and cloud platforms (preferably AWS). Experience with CI/CD pipelines and modern DevOps practices. Strong communication skills and a collaborative mindset. High intrinsic motivation and a proactive approach to problem-solving. If these More ❯

with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control More ❯