MLOps Engineer

Help drive the development and optimisation of cutting-edge MLOps platforms for an AI-focused Biotech.Collaborate with a dynamic team to drive AI innovation and excellence for an industry-first.Flexible working environment, great compensation, excellent benefits and growth opportunities.As an MLOps Platform Engineer, you will be at the forefront of deploying machine learning models and providing support to ensure seamless integration into production environments.Your responsibilities will include:Developing and optimising the MLOps platform to streamline the model lifecycleImplementing and managing CI/CD pipelines for development, testing and deploymentCollaborate with data scientists and bioinformaticians to drive innovation and excellenceEnsure scalability, reliability, and performance of workloads through robust infrastructure managementExperience needed:Proven record in designing and implementing MLOps pipelinesKnowledge of MLOps frameworks, i.e. SageMaker, Kubeflow, MLFlowProgramming skills in Python, with production environment experienceExpertise in infrastructure managementStrong interpersonal skills to engage and collaborate with colleagues and stakeholders