MLOps Engineer On-site - Central London - Contract - £540-£690 per day (inside IR35) Background: We're seeking a talented MLOps Engineer to join our exceptional client, working in a secure on-site environment to implement and maintain the tooling and processes used to develop, deploy, and maintain Artificial Intelligence / Machine Learning capabilities across their enterprise. This role will require you to undergo security clearance prior to taking-up your assignment. What will I be doing? Designing and implementing scalable ML pipelines for data processing, model training, and deployment Developing AI-powered solutions for predictive maintenance and connected car applications Optimising and deploying ML models for both Cloud and Edge computing environments Collaborating with cross-functional teams to integrate AI solutions into production workflows Focusing on the full lifecycle of data pipelines, including training, evaluating, and deploying ML models on AWS/Azure Partnering with Data Scientists to provide guidance on best practices for ML and MLOps infrastructure What experience, knowledge and aptitudes will I need? Solid understanding of DevOps engineering Demonstrable hands-on MLOps experience Expertise in data pipelines and ML model deployment Proficiency with technologies such as Python / OpenShift / Kubernetes / Weights & Biases / MLFlow / ElasticSearch / JavaScript / React EDI statement: As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. We also recognise that everyone's life situation is unique, and often filled with commitments outside the world of work. If you wish to explore part-time or flexible working arrangements, for whatever reason, then please let us know. Even if you feel that you don't quite 'tick all the boxes' for a given role, we still want to hear from you. We understand that everyone's journey is different, and truly value transferable skills. Your unique viewpoint and contribution might just help to unlock our next great success. ADZN1_UKTJ