Head of Machine Learning
Location: London – Hybrid

About the Company

This biotech company is at the forefront of innovation, using advanced data science and machine learning to accelerate breakthroughs in drug discovery, precision medicine, and diagnostics. Their mission is to transform healthcare by leveraging cutting-edge computational approaches to solve complex biological challenges.

With a dynamic and inclusive culture, they are committed to building a team of exceptional talent passionate about driving impactful solutions in the biotech space.

The Role

As the Head of Machine Learning, you will lead a team of data scientists and machine learning engineers to drive the development and application of ML models in key biotech projects. This role combines strategic vision with hands-on leadership, shaping the company’s machine learning roadmap while ensuring the delivery of impactful, scalable solutions.

Key responsibilities include:

• Defining and implementing the company's machine learning strategy in alignment with business goals.
• Leading the design, development, and deployment of advanced ML models for drug discovery, genomics, and clinical data analysis.
• Building and mentoring a high-performing team of ML specialists, fostering innovation and technical excellence.
• Collaborating with bioinformatics, engineering, and product teams to ensure the seamless integration of ML solutions.
• Staying ahead of industry trends to evaluate and incorporate emerging technologies.

Essential Skills

• Extensive experience in machine learning, including model development, optimisation, and deployment in production.
• Strong programming skills in Python and familiarity with ML frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn).
• Expertise in handling large-scale datasets, particularly in genomics, proteomics, or other biological domains.
• Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) for scalable ML solutions.
• Proven ability to lead and inspire teams, manage projects, and deliver results in a fast-paced environment.
• Excellent communication skills to bridge the gap between technical teams and stakeholders.

Desirable Skills

• A background in computational biology, bioinformatics, or related fields.
• Experience with MLOps tools (e.g., MLFlow, Weights & Biases) for streamlined workflows.
• Knowledge of regulatory frameworks and compliance in biotech or healthcare.
• Familiarity with graph-based machine learning techniques or natural language processing (NLP) applied to biomedical data