Machine Learning Engineer - Biotech
London
90-100k + Bonus + Stock + Amazing Benefits

At the forefront of drug discovery, molecular design and clinical development, our client is building a team to deliver insights from large-scale genomic analyses. To ensure the quality, robustness and longevity of analysis and data pipelines, this world leader requires a Machine Learning Engineer to work in close collaboration with research scientists.

As a Machine Learning Engineer, you will be required to:

Drive engineering excellence in the development of research software
Develop the interfaces between machine learning models and the scientists who interpret their output
Work closely with the Director of DevOps to ensure the cloud infrastructure and processes are available
Contribute to the design of the computing infrastructure
Build and support end-to-end machine learning pipelines, from data acquisition to model deployment
Champion the introduction of MLOps practices to ensure successful delivery of AI/ML models
Design, build and maintain databases that store, link and serve the large volumes of data generated and analysed
Support scientists in data acquisition, validation and model development, validation and deployment

Skills, Traits & Requirements:

Undergraduate or postgraduate degree in computer science or similar
A background in machine learning, artificial intelligence or data science
Hands-on experience of the software development lifecycle, including agile development
Experience in development using Linux, Python, Git, and Docker
Substantial, practical experience in software development and delivering ML/scientific models
A strong understanding of data technologies including SQL and ETL
Experience of data visualisation for machine learning models and their findings
AWS / Cloud
Full stack development (preferred)
Clear spoken and written communication skills
Enthusiasm about working with a diverse, cross-functional team
Experience or interest in Biotech

The successful Machine Learning Engineer can expect:

A base package of 90-100k
Circa 15% bonus
Stock options
Contributory pension
Additional and generous benefits

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