Senior/Lead Machine Learning Engineer

Senior/Lead Machine Learning Engineer The Opportunity We are currently partnering with several leading technology consultancies and data-driven enterprises who are looking for experienced Machine Learning Engineers to join their high-performing teams. These organisations are at the forefront of innovation, offering the chance to work on complex, real-world business challenges where your expertise in production-grade ML systems will have a tangible impact. The Role In this position, you will bridge the gap between data science and software engineering, taking ownership of the end-to-end ML lifecycle from initial architecture and data pipeline construction to model training, deployment, and ongoing monitoring. You will define technical strategy, implement robust MLOps practices, and optimise infrastructure to ensure scalable and reliable solutions while mentoring junior engineers and collaborating closely with cross-functional stakeholders. What We're Looking For • Extensive experience building and deploying machine learning models in production environments. • Proficiency in Python and major ML frameworks such as PyTorch, TensorFlow, or Scikit-learn. • Strong understanding of MLOps, CI/CD pipelines, and containerisation technologies (Docker, Kubernetes). • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and scalable infrastructure design. • Ability to design and maintain robust data pipelines (ETL/ELT) and feature stores. • Proven track record in technical leadership, mentoring, and guiding engineering teams. • Deep knowledge of ML system design, software architecture, and performance optimisation. • Strong communication skills with experience in stakeholder management and cross-functional collaboration. Apply Now If you are a senior practitioner ready to lead impactful AI initiatives, we would love to hear from you. Please submit your CV today; as we work with multiple clients across the industry, we have several similar opportunities available and would be happy to discuss which role best aligns with your career aspirations.