Devops mlops engineer

A fantastic opportunity has arisen for an experienced professional to join a distribution market leader as DevOps/MLOps Engineer at their site based in Leicester. You will work a hybrid role, with 3 days at home and 2 days in the office, working core hours Monday to Friday. As a DevOps/MLOps Engineer you will be operationalising machine learning effectively. You will support the architectural needs of their Data Science team to ensure the seamless deployment, monitoring, and maintenance of machine learning models and data pipelines. You will work in close collaboration with the Data Science team to design and implement scalable and reliable infrastructure for machine learning model deployment and data processing. The successful candidate will deploy machine learning models and data pipelines to production environments and establish robust monitoring and alerting systems to ensure optimal performance and reliability. In this position, you will develop and maintain automation scripts and tools to streamline the machine learning model deployment process and ensure reproducibility. The DevOps/MLOps Engineer will implement security best practices and ensure compliance with relevant data privacy regulations in all processes as well as work cross-functionally with Data Scientists, Software Engineers and DevOps team members to facilitate efficient model development, testing, and deployment. You will proactively monitor, identify, and resolve issues related to machine learning model performance, data pipelines, and infrastructure, ensuring minimal downtime. In the role you will research and evaluate innovative technologies and best practices in DevOps/MLOps and share your knowledge and insights with the team. Qualifications required: middot; Bachelor #39;s degree in Computer Science, Engineering, or a related field. middot; Proven experience in DevOps/MLOps or a similar role, with a focus on deploying and maintaining machine learning models. middot; Proficiency in containerization technologies (e.g. Docker) and orchestration tools (e.g. Kubernetes), CKA or CKAD would be advantageous. middot; Strong scripting and automation skills (e.g. Python, Bash). middot; Familiarity with other languages (e.g. GoLang, NodeJS etc.) middot; Good knowledge of cloud platforms (e.g. AWS, Azure) and infrastructure-as-code technologies (e.g. Terraform, Ansible). middot; Knowledge of CI/CD pipelines (e.g. GitLab CI, GitHub Actions) and version control systems (e.g. Git). middot; Understanding of data science workflows and machine learning frameworks (e.g. TensorFlow, PyTorch). middot; Excellent problem-solving and communication skills. middot; Strong teamwork and collaboration abilities. Salary for this opportunity is between GBP45k-GBP50k plus company benefits. These include a company Bonus, competitive annual leave allowance with annual purchase scheme, Group Personal Pension, company funded healthcare cash plan, 24/7 wellbeing and employee support and cycle to work scheme. For immediate consideration, please apply today! #INDBRK Barker Ross Group values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are more than happy to discuss reasonable adjustments and/or additional arrangements as required to support your application. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business