Senior Machine Learning Engineer - Bioinformatics

About the Role

Our client is seeking a highly skilled Senior Machine Learning Engineer with expertise in Bioinformatics for a fully remote role based in Bristol . This position is pivotal in developing and deploying advanced AI and machine learning models to analyze complex biological data, accelerating drug discovery and development. You will work at the intersection of machine learning, computational biology, and software engineering, building scalable solutions that extract meaningful insights from vast datasets. This is an exceptional opportunity to contribute to transformative research from anywhere, working with a cutting-edge technology stack and a collaborative, remote-first team that values innovation and scientific rigor.

Key Responsibilities

• Design, build, train, and deploy production-level machine learning models for bioinformatics applications.
• Develop robust data pipelines for processing and analyzing large-scale biological data, including genomic, proteomic, and clinical data.
• Collaborate with computational biologists and data scientists to define model requirements and interpret results.
• Implement state-of-the-art ML algorithms and techniques to solve complex biological problems.
• Optimize model performance, scalability, and efficiency for deployment in cloud environments.
• Contribute to the team's software engineering best practices and MLOps strategy.

Requirements

• Master's or PhD in Computer Science, Data Science, Bioinformatics, or a related quantitative field.
• 5+ years of professional experience in machine learning engineering, with a strong focus on biological or healthcare data.
• Expertise in Python and common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Proficiency in cloud platforms (AWS, GCP, Azure) and MLOps tools.
• Strong understanding of statistical modeling and data structures.
• Excellent communication and collaboration skills for a remote team environment.

Benefits

• Highly competitive salary and remote work flexibility.
• Comprehensive health, dental, and vision insurance.
• Generous stock options and performance bonuses.
• Significant budget for professional development, including online courses and conferences.
• Opportunity to shape cutting-edge bioinformatics research from anywhere.