10 of 10 Permanent AWS Jobs in Banbury

Blazor JavaScript or TypeScript including React Programming with 3D geometry. WPF Machine learning model development CI/CD Infrastructure as Code (Iac) using Terraform for management of Azure and AWS resources More ❯

JavaScript, C#, or similar). Bring solid DevOps and infrastructure engineering skills. Have hands-on experience with Kubernetes, Terraform, and CI/CD pipelines. Understand cloud environments (Azure preferred, AWS/GCP also great). Care deeply about building reliable systems that make a real-world impact. 💡 Bonus Points For Experience working in AI, Biotech, or other data-intensive domains. More ❯

Excellent communication and problem-solving skills. Good to have Experience with Magnolia CMS or Cloudinary . Background in solution design, architecture, or pre-sales support. Exposure to cloud platforms (AWS, Azure, or GCP). Familiarity with CI/CD tools and DevOps practices. Why join us Competitive salary and benefits package. Flexible working with hybrid options. Private health insurance and More ❯

C#, plus some exposure to Python and JavaScript/TypeScript Comfortable navigating no-code/low-code platforms Experience with APIs (Postman, Swagger, cURL) and cloud platforms (Microsoft Azure, AWS, GCP) Strategic thinker with a "builder's mindset" and appetite for future leadership Why Apply? Salary up to £60,000 + equity options Clear roadmap now - open space to shape More ❯

than four agents in production. Strong grasp of multi-agent orchestration, memory, and tool integration. Proficiency in Python for AI development and Bash/Go for automation. Familiarity with AWS core services (EC2, VPC, IAM, S3, ALB/ELB, CloudFront, ECR/ECS,Elastic Beanstalk, Control Tower). Familiarity with IaC (Terraform, Terraform Cloud, CloudFormation) and expertise incontainerisation (Docker, Docker 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 ❯

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 ❯

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 ❯

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 ❯