LLM Engineering Manager - Python & Machine Learning

Company Description

MillionLogics, a trusted Oracle Partner, is a global IT solutions provider with a strong presence in London, UK, and a dynamic development hub in Hyderabad, India. Our mission is to empower businesses through innovative Data & AI services, seamless Cloud solutions, IT consulting, and enterprise application optimisation, with a focus on Oracle technologies. With a team of 40+ Oracle experts, we deliver tailored, outcomes-driven solutions to meet diverse client needs. At MillionLogics, we prioritize user-focused digital transformation, driving innovation and excellence to unlock business potential.

Role Description

This is a remote, contract role for an LLM Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you'll drive the full lifecycle of AI development - from research and large-scale model training to production deployment - while mentoring top engineers and collaborating closely with research and infrastructure leaders.

You'll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing's AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact.

This position is ideal for leaders who are still comfortable coding, optimising large-scale training pipelines, and navigating the intersection of research, engineering, and product delivery.

Workpermit: Any valid work permit/dependent visa/ILR/British National.

Day Rate: £300 (Including VAT), Outside IR35

Roles & 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.

Required Skills & Qualifications

• 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

Nice to Have

• Experience training or fine-tuning foundation models.
• Contributions to open-source ML or LLM frameworks.
• Understanding of Responsible AI, bias mitigation, and model interpretability.

Offer Details:

• Commitments Required: 8 hours per day with an overlap of 6 hours with PST.
• Employment type : Contractor assignment (no medical/paid leave)
• Duration of contract: 6 months. Extendable up to 12 months

Evaluation Process (approximately 75 mins) :

• Two rounds of interviews (60 min technical + 30 min technical & cultural discussion)

How to Apply: Please apply via Linkedin or send us your updated CV to careeers@millionlogics.com