Neurolabs is seeking a highly skilled and motivated DevOps/MLOps Engineer to join our growing team. As a DevOps/MLOps Engineer, you will play a crucial role in maintaining and improving our infrastructure to support the development and deployment of our cutting-edge solutions for the retail automation industry. As DevOps/MLOps Engineer at Neurolabs, you will play a crucial role in optimizing and managing our cloud infrastructure to support our data-intensive applications and machine learning workflows. At Neurolabs, we specialize in democratizing Computer Vision technology, making it accessible to businesses of all sizes. With a commitment to pushing boundaries and solving complex problems, we have built a reputation for excellence in the retail automation industry. As a DevOps/MLOps Engineer, you will collaborate closely with our product and machine learning teams to streamline deployment processes, automate tasks, and enhance the overall efficiency of our operations. Employment type: Full-time, permanent contract Experience: Senior and Expert level Annual Salary: £75,000 – £95,000 Responsibilities Design, deploy, and manage scalable and reliable cloud infrastructure on a public cloud provider platform (e.g., AWS, GCP) to support our data-intensive applications and machine learning workflows. Implement and maintain CI/CD pipelines for automated build, test, and deployment processes to ensure fast and efficient delivery of software updates and model deployments. Develop and maintain monitoring, logging, and alerting systems to proactively identify and address performance issues, security vulnerabilities, and other operational concerns. Collaborate with cross-functional teams (inc. machine learning and computer vision engineers) to optimize application performance, troubleshoot issues, and ensure high availability and uptime in accordance with SLAs. Implement and enforce security best practices and compliance standards (e.g. Cyber Essentials, SOC2) to safeguard sensitive data and protect against potential threats and attacks. Drive continuous improvement initiatives to optimize infrastructure costs, increase operational efficiency, and enhance overall reliability and performance. Stay updated on emerging technologies, trends, and best practices in DevOps and MLOps to recommend and implement innovative solutions that drive business value. Requirements Proven experience as a DevOps/ MLOps Engineer, Site Reliability Engineer (SRE), or similar role, with a focus on cloud infrastructure and automation. Strong proficiency in at least one cloud platform (AWS preferable) and hands-on experience with infrastructure as code (IaC) tools such as Terraform, CloudFormation, or equivalent. Experience with containerization technologies (e.g., Docker). Solid understanding of CI/CD concepts and experience with CI/CD tools (e.g., Github Actions) for automating software delivery pipelines. Familiarity with machine learning concepts and frameworks (e.g. PyTorch, TensorFlow) and experience deploying and managing machine learning models in GPU production environments is a plus (e.g. BentoML, Valohai). Experience with container orchestration platforms (e.g. Kubernetes) for deploying and managing services-based applications. Strong problem-solving skills, attention to detail, and excellent communication and interpersonal skills. Right to work in UK Benefits Hybrid work style – ability to work from home and the London office (at least 2 days per week in the office) Flexible working hours Equity options 34 days annual leave (incl. public holidays in your residence country) Bi-annual company retreat and bi-annual team meetings (workation) Private medical insurance, including mental health, dental, opticians cover, and business as well as personal travel insurance. Pension Plans Cycle to Work Scheme
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