Senior ML & LLM Lead (Remote, Contract)

Turing; Remote; GBP 80,000 - 100,000; Part time

Job summary

A leading AI solutions provider in the United Kingdom is seeking a Machine Learning Senior Staff Engineer to lead cross-functional teams in building and deploying state-of-the-art ML systems. This role requires a strong technical background in deep learning and MLOps, as well as leadership skills to mentor engineers. You'll oversee projects from conception to deployment, ensuring that initiatives meet business outcomes while working fully remote with a flexible commitment. Ideal candidates should have hands-on experience in ML frameworks and solid leadership capabilities.

Benefits

Fully remote work environment

Opportunity to work on cutting-edge AI projects

Qualifications

• Strong background in Machine Learning, NLP, and modern deep learning architectures.
• Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed.
• Proven experience managing teams delivering ML/LLM models in production environments.
• Familiarity with MLOps tools for scalable ML pipelines.

Responsibilities

• Lead and mentor a cross-functional team of ML engineers and data scientists.
• Oversee the full lifecycle of LLM and ML projects from data collection to deployment.
• Collaborate with teams to define goals and success metrics.
• Communicate progress, risks, and results to stakeholders.

Skills

Machine Learning

NLP

PyTorch

TensorFlow

Docker

Distributed Training

MLOps

Leadership

Education

Bachelor's or Master's in Computer Science or related field

Tools

MLflow

Kubeflow

Vertex AI

Job description

A leading AI solutions provider in the United Kingdom is seeking a Machine Learning Senior Staff Engineer to lead cross-functional teams in building and deploying state-of-the-art ML systems. This role requires a strong technical background in deep learning and MLOps, as well as leadership skills to mentor engineers. You'll oversee projects from conception to deployment, ensuring that initiatives meet business outcomes while working fully remote with a flexible commitment. Ideal candidates should have hands-on experience in ML frameworks and solid leadership capabilities.