1 to 25 of 32 AWS Jobs in Oxford

TypeScript (e.g., React) 3D geometry programming WPF Machine-learning model development CI/CD pipelines Infrastructure-as-code (e.g., Terraform for Azure/AWS ...

Engineers to learn and grow. Essential Skills: Python JavaScript/Typescript. They use Vue.js but are open to any React.js engineers AWS/GCP MongoDB DynamoDB Nice to haves: Experience building a product from scratch Kubernetes/Terraform experience Architecture background ...

/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across ...

backend environment using FastAPI, Flask or Django • React or a modern JavaScript framework on the frontend • API design and integration • Cloud platforms such as AWS, GCP or Azure • Testing, code quality and production readiness • Collaborating with engineers, product and design teams It would be great if you also have experience ...

Electrical Engineering, Computer Science, or another related field or equivalent work experience. Hands-on experience developing services on a public cloud platform (e.g., AWS, Azure, Oracle) Building continuous integration/deployment pipelines with robust testing and deployment schedules Experience working with internal customers and translating requests into prioritized work ...

software. Tech Stack (Open-Source) Backend: Python Frontend: Vue.js Frameworks: FastAPI, Vue 3 Databases: PostgreSQL, Redis Infrastructure: Linux, Docker, CI/CD pipelines Cloud: AWS Testing: Pytest, Jest You don't need experience with every tool - strong Python fundamentals and a willingness to learn are key. What They're Looking ...

define and refine platform features Technical Skills Required Proficiency in C# .NET Experience in testing software and version control Familiarity with NoSQL databases AWS experience Experience with CI/CD tools (e.g., Github) Nice to Have Experience with microservices architecture Familiarity with RESTful APIs Exposure to Docker or Kubernetes Experience ...

deploying and supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow ...

involved with a substantial AI project. Essential Skills: Python backend development Node.js backend development Experience of enterprise cloud platforms – ideally Azure, but experience of AWS or other platform with a willingness to learn Azure is fine. JavaScript, CSS, Base level SQL & HTML Beneficial Skills/Experience: Dev Ops with Microsoft ...

focus Experience designing, supporting, and operating ML systems in production Technical environment (experience expected across most of these) MLflow (expert-level) Databricks Cloud platforms (AWS preferred; SageMaker exposure a bonus) CI/CD for ML workloads Docker and Kubernetes Infrastructure as Code (Terraform or similar) Python-based ML workflows ...

successful in this Software Engineer role? Strong experience coding with Python, with experience of Django advantageous Experience with Git or similar Experience with AWS or GCP would be beneficial, as would any experience with containerisation and orchestration (Docker, ECS, or EKS). An understanding of Linux system administration and networking ...

organised, and self-driven Ability to independently manage substantial technical projects Desirable Skills Experience with Vue3, TypeScript, Django, or full-stack development Familiarity with AWS EKS deployments Exposure to machine-learning or agentic-AI pipeline development Understanding of FEA, CFD, aerothermal design, or turbomachinery principles This position is only open ...

both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project Additional Courses AWS Certified Cloud Practitioner Microsoft Certified: Azure Administrator Associate Step 4 -Entry Level Development placement (£25K - £40k) We work with you to secure your first role in software ...

/month; occasional team gatherings Salary: Senior: €130–150k base + growth trajectory Principal: €160–200k base + package discussion Tech: Python, JavaScript, Azure, AWS, AI, LLM's, RAG Industry: AI Consultancy The Role We're looking for talented engineers to join our customer-facing AI practice, from Senior Forward ...

both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project (1 week) Additional Courses AWS Certified Cloud Practitioner Microsoft Certified: Azure Administrator Associate Step 4 - Junior Programmer placement (£25K - £40k) We work with you to secure your first role ...

React or Angular Experience working with relational and NoSQL databases such as PostgreSQL, Redis or MongoDB Comfortable working in cloud-native, event-driven environments (AWS preferred) A product mindset, strong ownership, and the confidence to influence technical direction Nice to have Exposure to AI or LLM-based systems Experience with ...

will now provide additional Study Courses for your continued development and broadening of your skills. Completion of these course is voluntary but recommended. AWS Certified Cloud Practitioner Microsoft Certified: Azure Administrator Associate Step 4 – Entry Level Coding placement We will now work with you to help you secure your first ...

preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic, AWS Bedrock). Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms. Deep understanding of prompt engineering and fine-tuning of large language models. … Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs, and microservice ...

whole company. Help hire future colleagues and shape the team you want to work with. Our tech stack: We use and leverage AWS as much as possible and manage it with Terraform. Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions. … building reliable and scalable back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership ...

focus on web components and reusable design systems Modern JavaScript/TypeScript Backend: Node.js or Python (microservices-based) API-driven architecture Infrastructure & Cloud: Kubernetes AWS Containerized, cloud-native deployments Data: SQL databases What We're Looking For Strong experience as a senior or lead fullstack engineer in modern web environments … plus, not a requirement) Backend experience with Node.js and/or Python Solid understanding of microservices architecture Hands-on experience with Kubernetes and AWS Strong SQL skills and experience designing data models Proven ability to lead technically and mentor other engineers Comfortable working in a fast-paced fintech or product ...

have the autonomy to make technical decisions and help shape how platform engineering is done as the team continues to scale. Tech stack OCI, AWS, Azure Kubernetes (building and managing production clusters) Terraform (for full IaC provisioning) Python (scripting, automation) GitHub Actions (CI/CD pipelines) Docker & Helm (for containerised … deployments) What They’re Looking For Strong experience in cloud infrastructure - OCI, AWS, Azure etc. (ideally in a regulated or high-traffic environment) Hands-on Kubernetes know-how. Solid IaC experience with Terraform or CloudFormation. Comfortable scripting in Python at a decent level. Experience with containerisation (Docker, Helm ...

processes, presumably using IPaaS tooling Data architecture Data modelling, cataloguing, and associated governance Data lakes, distributed storage Metadata management Cloud & Platform Architecture Proficient in AWS, but familiarity with Azure/GCP also useful Strong understanding of cloud computing principles (and ideally the AWS core services that deliver them) IaC literacy ...

frontend-facing schemas Ensuring codebases are of high-quality and well-tested (pytest) Contributing to architectural decisions around scalability, performance, and security Cloud & Infrastructure (AWS) Developing on AWS using services such as: Lambda, Fargate, EC2 S3, SNS, SQS API Gateway, AppSync DynamoDB, RDS Working with Bitbucket + AWS CodePipeline … supporting customer-facing technical discussions What We're Looking For Essential Strong experience building backend systems in Python, ideally familiar with async principles Solid AWS cloud experience designing and running production systems with an IaC first approach Experience with API design (GraphQL, REST, or gRPC) Strong data modelling and system ...

deploy robust frontend client, backend services, infrastructure automation, and cloud-native solutions by utilising your software development knowledge and your DevOps proficiency across AWS and GCP. Desired Skills: Golang GCP, AWS Kubernetes (cloud-native), Terraform This is a great opportunity for a Senior Software Engineer who: Has experience building cloud ...

Oracle Fusion, CRM, and data analytics systems . Architecture & Integration Oversight: Collaborate with solution architects to validate designs across diverse technology stacks (Oracle, Microsoft, AWS, etc.). Oversee integration design and implementation , enforcing best practices across platforms like Oracle Integration Cloud (OIC) and API Gateways. Governance & Quality Assurance: Define … readiness, and technical go-live execution. Cloud & Infrastructure Enablement: Collaborate closely with infrastructure teams to ensure optimal configuration and performance of environments (OCI, Azure, AWS). Promote DevOps, CI/CD, and automation practices to streamline deployments. Leadership & Stakeholder Management: Serve as the primary technical point of contact, leading ...