10 of 10 Permanent Infrastructure as Code Jobs in Oxford

approach will be key to succeeding in this role, as the team operates within a start-up environment. You will be involved in building and maintaining the infrastructure, designing secure automation pipelines, managing cloud environments, and ensuring the security and compliance of our systems. You will play a critical role in delivering end-to-end solutions that … standards. Key Responsibilities: Design, implement, and maintain secure cloud infrastructure using Oracle Cloud Infrastructure (OCI). Develop and maintain infrastructure as code (IaC) solutions using tools such as Terraform, ensuring secure and repeatable cloud deployments. Implement and manage CI/CD pipelines with a focus on automated security testing, deployment, and … with security standards and regulations (e.g., ISO 27001, SOC2). Implement monitoring solutions to detect and respond to security incidents in real-time. Perform root cause analysis and troubleshoot infrastructure and security-related issues in production. Mentor junior engineers in security best practices and DevOps methodologies. Collaborate with Technical leads to continuously improve security processes and internal workflows. More ❯

being deployed across the UK and the U.S, and we're partnering with a fast-growing ecosystem of operators, vehicle OEMs and equipment makers serving autonomous transportation globally as it advances. Based in Oxford, and with offices in Canada and the U.S, Oxa was founded in 2014 and is growing rapidly (350+ 'Oxbots' to date). Our purpose … approaches. The company has attracted $225 million from leading investors so far, with $140 million raised in the last Series C funding round in January 2023. Your Role As an Engineering Manager at Oxa, you'll be part of a team building a distributed high-performance system that tackles a fascinating range of technical challenges. From massive-scale … discipline engineering team. Experience with large code bases and third-party dependencies, ideally in the C++ and/or Python ecosystem(s). Experience with containerisation (Docker), infrastructure as code (Terraform), and cloud compute (GCP, AWS, etc.). A solid understanding of DevOps principles and methodologies. Strong written and verbal communication skills to More ❯

push the boundaries, to test, develop and implement new ideas, technology and opportunities. Your primary responsibilities will include: Empowering Data Science and ML teams, by providing the tools and infrastructure 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. Design, build and maintain a robust and scalable infrastructure to support pre-computed, batch and real-time model needs, ensuring smooth deployment and operation of machine learning models. Foster a culture of innovation by generating and promoting new ideas within the ML Ops domain. Find creative solutions … 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 a More ❯

push the boundaries, to test, develop and implement new ideas, technology and opportunities. Your primary responsibilities will include: Empowering Data Science and ML teams, by providing the tools and infrastructure 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 smooth deployment and operation of machine learning models. Foster a culture of innovation by generating and promoting new ideas within the ML Ops domain. Find creative solutions to … 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 a More ❯

department to become the DevOps specialist within a small team! As the Senior DevOps Engineer, you will be solely responsible for designing and maintaining the infrastructure, implementing automation frameworks, establishing robust CI/CD pipelines, and optimizing performance and security measures. Your expertise will be crucial in driving our game development workflows, ensuring reliability, scalability … matters, so we're open to discussing hybrid or remote options based on individual needs. Key Outcomes: Maintaining the highest SLA uptimes. Consolidation, improvement and expansion of our cloud infrastructure offering. Increased visibility of cloud estate and health metrics. Greater control and management of infrastructure for production. Responsibilities : Effectively deploy, manage and monitor Cloud infrastructure in a … root cause analysis. Working with our code and build teams to ensure a streamlined workflow. Prior experience working in DevOps at a Senior level. Strong experience with Infrastructure as Code technologies (AWS/Azure). Strong experience with containerising applications and maintaining containerised infrastructure (ECS, Docker Swarm, Kubernetes etc). Familiarity with More ❯

modern ML operations stack. This includes data acquisition pipelines, data management, and machine learning model training infrastructure. The environment includes both self-managed on premise systems and cloud-based infrastructure, primarily using AWS. You will have the opportunity to influence the technical direction of the ML Ops team, propose new areas for development, and potentially lead your own projects. … This is a hybrid role combining remote and on site working. There is no expectation to be available outside core business hours. Key Responsibilities Maintain and improve ML Ops infrastructure Manage on premise Kubernetes clusters and ML pipelines Integrate ML toolkits into operational workflows Collaborate with ML developers to streamline workflows Suggest and implement technical improvements and new tools … Lightning Capable of designing and delivering ML Ops solutions across various platforms Desirable Skills Background in DevOps with experience in CI systems such as Jenkins Familiarity with infrastructure as code tools such as Ansible Interest in human motion capture, sports tech, or animation Exposure to C++ is a bonus Benefits More ❯

Ops stack, which includes data acquisition pipelines, data management systems, and ML model training infrastructure. This stack combines self-managed on-premises systems with cloud-based AWS resources. As an ML Ops Engineer, you'll have the opportunity to influence technical direction, propose new solutions, and potentially lead projects within the team. The company offers a hybrid working … on-premise Kubernetes clusters Implement and maintain ML Ops pipelines using Kubeflow and similar tools (e.g., MLflow) Develop scripts and tooling in Python; manage Linux system configurations Leverage AWS infrastructure (Cognito, S3, EC2, Lambda, etc.) Integrate ML toolkits (e.g., PyTorch, Lightning) into ML Ops workflows Design and deploy robust ML Ops solutions across various technologies Contribute to the technical … their role in ML Ops pipelines Ability to design and implement comprehensive ML Ops solutions Desirable Skills: Background in DevOps with CI/CD experience (e.g., Jenkins) Knowledge of infrastructure-as-code tools (e.g., Ansible) Interest in human motion capture, sports, or animation technologies Familiarity with C++ Benefits Package: Competitive salary 10% company pension contribution More ❯

re looking for an Enterprise Solution Architect to join our growing team and play a pivotal role in shaping digital healthcare solutions across several high-impact programmes. From national infrastructure to local integration efforts, you'll guide technical direction, assess enterprise-wide implications of design decisions, and ensure alignment with clinical, operational and business priorities. This is a strategic … HL7, RESTful APIs, messaging queues). Proficient in cloud-native and microservice-based architectures, particularly with Azure and/or AWS. Knowledge of DevOps practices, CI/CD pipelines, infrastructure-as-code, and containerisation (e.g., Docker, Kubernetes). Familiarity with the digital health policy landscape in the UK, including NHS England strategies and standards. Ability More ❯

team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack. This stack covers data acquisition pipelines, data management and ML model training infrastructure (SW and on-prem HW). We use both on-prem, self-managed systems and also leverage AWS infrastructure. You will have opportunities to guide the technical direction of … pipelines and tools. Be able to design and implement MLOps solutions covering many different technologies. Desirable Skills Background in DevOps with exposure to CI systems, e.g. Jenkins Familiarity with infrastructure as code, e.g. Ansible Experience, aptitude, and a desire to work with human motion, sport, animation tools and techniques. Familiarity with C++. More ❯

team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack. This stack covers data acquisition pipelines, data management and ML model training infrastructure (SW and on-prem HW). We use both on-prem, self-managed systems and also leverage AWS infrastructure. You will have opportunities to guide the technical direction of … pipelines and tools. Be able to design and implement MLOps solutions covering many different technologies. Desirable Skills Background in DevOps with exposure to CI systems, e.g. Jenkins Familiarity with infrastructure as code, e.g. Ansible Experience, aptitude, and a desire to work with human motion capture, sport, animation tools and techniques. Familiarity with C++. Benefits Competitive More ❯