ML Engineer for Cutting-Edge Drug Discovery & NMR

Bind Research; Greater London; On-site; GBP 50,000 - 75,000; Full time

Benefits offered by this job

38 days holiday

Employer pension contribution

Cycle to work scheme

Life insurance

Job summary

A not-for-profit research organization in Greater London is seeking a Machine Learning Engineer to develop innovative models for drug discovery involving intrinsically disordered proteins. This role includes enhancing data processing capabilities, deploying models, and collaborating with experimental teams. Candidates should have an MSc or PhD, experience in machine learning, and strong programming skills, particularly in Python. Attractive perks include extensive holiday and a pension scheme.

Qualifications

• MSc in a technical field with 3 years of machine learning experience or a PhD with a similar focus.
• Extensive knowledge of machine learning approaches, neural network architectures, and training methods.
• Strong dev-ops skillset with proficiency in model deployment and versioning.

Responsibilities

• Develop machine learning approaches to quantify interactions between small molecules and disordered proteins.
• Enhance usability of models by implementing automated solutions.
• Mentor team members in machine learning and data analysis methods.

Skills

Python programming

Deep learning

Communication skills

Collaborative mindset

Education

MSc in a technical field

PhD in relevant field

Tools

Numpy

Torch/Tensorflow/Jax

Scikit-learn

SQL

Job description

A not-for-profit research organization in Greater London is seeking a Machine Learning Engineer to develop innovative models for drug discovery involving intrinsically disordered proteins. This role includes enhancing data processing capabilities, deploying models, and collaborating with experimental teams. Candidates should have an MSc or PhD, experience in machine learning, and strong programming skills, particularly in Python. Attractive perks include extensive holiday and a pension scheme.