[Remote] LLM Engineering Manager – Python & ML

Note: The job is a remote job and is open to candidates in USA. MillionLogics is a global IT solutions provider focused on innovative Data & AI services. They are seeking an LLM Engineering Manager to lead cross-functional teams in building and deploying LLM and ML systems, while driving the full lifecycle of AI development and mentoring engineers. Responsibilities • Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals • Oversee the full lifecycle of LLM and ML projects - from data collection to training, evaluation, and deployment • Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics • Provide technical direction on large-scale model training, fine-tuning, and distributed systems design • Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML • Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards • Communicate progress, risks, and results to stakeholders and executives effectively Skills • 9+ yrs of strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs) • Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed • 2+ yrs of proven experience managing teams delivering ML/LLM models in production environments • Knowledge of distributed training, GPU/TPU optimisation, and cloud platforms (AWS, GCP, Azure) • Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines • Excellent leadership, communication, and cross-functional collaboration skills • Bachelor's or Master's in Computer Science, Engineering, or related field • Experience training or fine-tuning foundation models • Contributions to open-source ML or LLM frameworks • Understanding of Responsible AI, bias mitigation, and model interpretability Company Overview • Welcome to Millionlogics! We are a company dedicated to providing comprehensive data technology, software product development, and digital enablement solutions. It was founded in 2020, and is headquartered in London, United Kingdom, with a workforce of 11-50 employees. Its website is Apply tot his job