Senior ML Platform Engineer

Senior ML Platform Engineer,

London

Relation Therapeutics overview

At Relation Therapeutics we pioneer approaches in large-scale machine learning and high-resolution biology to discover new drugs for patients with diseases of high unmet need. 

One of the core problems in drug discovery is understanding the biological mechanisms underlying disease. Our team combines single-cell profiling, biobank-scale genetics, experimental functional genomics, and end-to-end machine learning in order to decode and modulate the fundamental causes of ill health. We aim to transform drug discovery and development.

At Relation, we are committed to building diverse and inclusive teams. We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age. We strive to create an interdisciplinary workplace that cultivates innovation through collaboration, and we empower each of our team members to do their best work and develop to their highest potential.

By joining Relation, you will be part of an exceptionally talented team, you’ll have extraordinary leverage to push the field of drug discovery, and you’ll help us shape our culture and strategic direction. Ultimately, your impact will be felt in patients’ lives.

Opportunity

As a Senior ML Platform Engineer, you will join the engineering team in a role pivotal to our mission to revolutionize target discovery and validation using advanced machine learning models. You will work closely with the Machine Learning and Data Science teams on designing and scaling our hybrid compute cluster, ensuring optimal performance, reliability, and scalability.

Role Responsibilities

• Design, deploy, and manage our Kubernetes-based hybrid compute cluster across on-premises and cloud environments (AWS, GCP). Ensure high availability and security to meet the demands of our machine learning and data science teams. Scale and optimise GPU workloads to ensure peak performance and efficiency.
• Lead MLOps initiatives, focusing on the seamless deployment of machine learning models into production, conducting thorough benchmarking to evaluate model performance, and applying optimisation techniques to improve efficiency and scalability.
• Work closely with Machine Learning and Data Science teams to understand their computational needs and challenges. Provide expert guidance and support to ensure their success.

Professionally, you have

• A Bachelor’s in Computer Science or a related quantitative field. A minimum of 5 years of experience in platform engineering, with a strong focus on Kubernetes and AWS. Proven track record of managing compute environments, including on-premises and cloud infrastructures.
• Proven experience in maintaining, scaling, and optimizing HPC GPU clusters. This includes expertise in hardware and software for high-performance computing, an understanding of GPU architecture and parallel computing, and proficiency in network management and data storage solutions.
• Experience with MLOps practices (deployment, benchmarking, optimisation, reproducibility). Familiarity with tools and frameworks for continuous integration and delivery of ML models, along with expertise in version control, model monitoring, and lifecycle management, is essential.
• Solid Python coding experience, with the ability to write clean, efficient, and maintainable code.
• Excellent analytical and troubleshooting skills, with a systematic approach to solving complex problems. Strong verbal and written communication skills, with the ability to effectively collaborate with cross-functional teams.

Personally, you are

• A great team player
• A clear communicator
• Driven by impact
• Humble and hungry to learn
• Motivated and curious
• Passionate about making a difference in patients’ lives

Join us in this exciting role where you will have a direct impact on advancing our understanding of disease biology, supporting our mission to get transformative medicines to patients. Together, we're not just doing research; we're setting new standards in drug discovery. The patient is waiting!

Relation Therapeutics is a committed equal opportunities employer.