15 of 15 Remote AWS Jobs in Oxford

Agile/SCRUM environment. * Familiarity with CCSDS standards or ECSS data communications protocols. * Schema database formats (SCOS2000/XTCE, etc) * Working in Ground Segment systems. * Cloud platforms such as AWS or Azure. * Knowledge of security best practices in software development. What you'll get in return * Competitive salary and benefits package. * Flexible and hybrid working options, including every other Friday More ❯

Agile/SCRUM environment. * Familiarity with CCSDS standards or ECSS data communications protocols. * Schema database formats (SCOS2000/XTCE, etc) * Working in Ground Segment systems. * Cloud platforms such as AWS or Azure. * Knowledge of security best practices in software development. What you'll get in return * Competitive salary and benefits package. * Flexible and hybrid working options, including every other Friday 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 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 ❯

engineering, including: Commercial experience building and deploying multi-agent systems Strong Python development skills for AI/ML applications Understanding of LLM orchestration , memory, and tool usage Familiarity with AWS core services , cloud security, and IaC (Terraform/CloudFormation) Proficiency with containerisation (Docker) and Kubernetes-based environments A passion for experimentation , research, and bridging theory with practice Bonus if you More ❯

/Professional. Familiarity with Oracle Integration Cloud (OIC) and API Gateway configurations. Experience with monitoring and alerting tools (OCI Monitoring, Grafana, Splunk). Exposure to other major cloud platforms (AWS, Azure). More ❯

intensive systems, ideally within ML-driven teams Familiarity with machine learning workflows - especially model training and experimentation Proficiency in programming languages such as Python, Scala, or Java Cloud experience (AWS, GCP, or Azure), plus modern data technologies (e.g. Spark, Kafka, Airflow, Dagster, Kedro) Background in industries with complex datasets, such as healthtech, NLP, or other large-scale data applications Leadership More ❯

Microsoft Exchange 2010 -2019 * Office 365/Azure/Entra/Hybrid including Defender, Intune and security policies * Server Virtualisation (Hyper-V/VMware) * Cloud services including Azure and AWS * LAN/VLAN/WAN (routers, switches, Wi-Fi, firewall) * Communications (VOIP, Leased Lines) * Dell/HP Server Hardware * Storage infrastructures SAN, NAS, DAS * Backup and DR technologies (experience of More ❯

to apply your engineering expertise in a purpose-driven environment, developing systems that enable cutting-edge data analysis and discovery. Key Responsibilities: Architect and manage cloud infrastructure (OCI/AWS/Azure) to support complex compute and storage needs Automate deployment, configuration, and scaling using Terraform , Kubernetes , and related tools Design and maintain object storage , compute clusters , and disaster recovery More ❯

and monitoring. Develop and automate workflows using Terraform, Kubernetes, Docker , and CI/CD toolchains (GitHub Actions, Jenkins, Argo, etc.). Manage scalable cloud-based compute environments (Oracle Cloud, AWS, or GCP) for AI workloads and data processing. Build and maintain feature stores, model registries, and versioning systems to ensure traceability and reproducibility. Implement data ingestion and pre-processing pipelines … Engineer supporting ML or data science teams. Strong hands-on experience with containerization (Docker) and orchestration (Kubernetes) . Expertise in Terraform , Infrastructure as Code (IaC), and cloud provisioning (OCI, AWS, GCP, or Azure). Solid understanding of CI/CD pipelines and automated testing frameworks. Experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn. Familiarity with MLflow, Kubeflow More ❯

seamless delivery across platforms like 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 and enforce technical delivery frameworks, code … to manage build validation, UAT 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 and mentoring cross-functional delivery teams … major enterprise platforms (e.g., Salesforce, Workday, SAP). Expertise in integration technologies such as OIC , API Gateway, MuleSoft, or comparable integration services. Strong understanding of cloud technologies (OCI, Azure, AWS) and their integration points with core enterprise systems. Familiarity with DevOps, CI/CD, and Infrastructure as Code concepts. Solid grasp of security, compliance (e.g., SOX/ITIL), and data More ❯

Machine Learning Engineer Machine Learning Engineer – AI for Advanced Materials – Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We’re looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that’s reinventing how the … training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that’s fusing AI, science, and engineering to push the boundaries of what’s possible. All Machine Learning Engineer positions come with More ❯

We're working with a cutting-edge organisation looking for a Senior DevOps Engineer to take charge of AWS infrastructure, CI/CD, and cloud-native security. Ready to make your application Please do read through the description at least once before clicking on Apply. If you love optimising platforms, scaling Kubernetes, and automating everything from deployment to compliance - this … one's for you. What You'll Be Doing End-to-end AWS ownership using Terraform, Helm & CloudFormation Manage Kubernetes (EKS/OpenShift) and streamline CI/CD with GitHub Actions & Argo CD Lead security reviews and implement GuardDuty, IAM, and monitoring best practices Drive cost optimisation, automate audits, and build high-availability systems Mentor teams on DevSecOps, automation, and … cloud resilience What You'll Bring 4+ years in DevOps/SRE with deep AWS experience Strong Kubernetes skills (EKS/OpenShift), IaC (Terraform), and CI/CD pipelines Scripting with Bash, Python, or Go Bonus: MLOps, Prometheus, AWS Karpenter, compliance experience Why Join A collaborative, supportive environment where engineers are trusted and empowered Hybrid working with flexibility, based in More ❯

making worldwide. We're seeking a hands-on Systems Administrator to maintain their cloud platform and support mission-critical clinical deployments. What you'll do: Maintain production systems on AWS (some Windows/Azure) Respond to monitoring alerts and client escalations Support deployments using Docker, Terraform and basic scripting Collaborate with developers on testing and backend improvements Progress from operations … to product-focused work within 6 months You have: 2-3 years in systems/support roles AWS experience (EC2, S3, IAM) Linux fundamentals and basic scripting (Bash/Python) Troubleshooting skills for networking and deployments What's in it for you: Clear progression path into senior systems/platform engineering Work that directly impacts patient care in hospitals worldwide More ❯

continuous optimisation - Collaborate with stakeholders to define product requirements and priorities - Work closely with data engineers, analysts, and developers to deliver scalable solutions using SQL Server, Power BI, and AWS cloud services - Apply Operational Research (ORR) techniques and data modelling to guide product strategy and decision-making - Ensure data governance, compliance, and security standards are upheld - Monitor and report on … supply chain. Candidate Requirements: - Proven experience as a Product Manager or Data Product Manager in a data or technology-focused business - Technical expertise with SQL Server, Power BI, and AWS (cloud/data services) - Experience applying Operational Research (ORR) methods such as optimisation, modelling, or advanced analytics - Strong stakeholder management and communication skills, able to translate technical concepts into business More ❯