Lead Machine Learning Engineer

We are currently looking for a Lead Machine Learning Engineer to join a fantastic AI driven project on behalf of our client, a global consultant group. This role will be on a fully remote basis, for a 6 month contract with extensions possible.

Role & Responsibilities:

Architect and oversee the entire model lifecycle, from data collection and preprocessing to model deployment and monitoring. Deploy large-scale neural network models, ensuring they are optimized for performance and scalability. Develop and orchestrate applications leveraging large language models (LLMs) to solve complex business problems. Develop and manage GPU clusters to support large-scale machine learning and neural network training. Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to design and implement AI-driven solutions. Ensure the security and compliance of AI solutions, adhering to industry best practices and regulatory requirements. Stay current with the latest advancements in AI and machine learning, integrating new techniques and technologies as appropriate.

Skills & Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. Advanced Python and machine learning frameworks (Keras, SciPy, Scikit-learn, TensorFlow, PyTorch, ...) knowledge. Hands-on experience with one or more cloud computing platforms (Azure - preferred, AWS, GCP). Strong understanding of the whole ML lifecycle and experience with MLOps/DataOps. Proven experience in GPU cluster development and management. Experience with version control, small and regular commits, unit tests, CI/CD, packaging, familiarity with containerization tools such as Docker and Kubernetes.

If you are interested, please contact our consultant for a confidential discussion using the contact details provided or click apply to send an updated copy of your CV.

Cavendish (Recruitment) Professionals Ltd are proud to be an equal opportunity employer and we believe that inclusivity begins with the candidate experience. All qualified applicants will receive consideration for employment regardless of, gender, race, age, sexual orientation, religion, or belief.