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Machine Learning Engineering Lead

2 months ago

Bristol, Bristol, United Kingdom CellVoyant Full time

About Us

CellVoyant is a pioneering AI-first biotechnology company that leverages live cell microscopy and artificial intelligence to predict stem cell differentiation. Our mission is to optimize and unlock human tissue manufacturing for research and therapeutic applications, ultimately making a lasting positive impact on society.

Our Vision

We aim to understand and solve important health issues by combining cutting-edge technology with scientific expertise. Our team is passionate about pushing the boundaries of what is possible in the field of biotechnology.

The Role

We are seeking an experienced Machine Learning Engineering Lead to guide our team in creating and implementing computer vision and machine learning pipelines. As a key member of our team, you will be responsible for developing these pipelines, putting them into production, and playing a crucial role in planning and developing our machine learning infrastructure.

Key Responsibilities

  • Develop and implement computer vision and machine learning pipelines for predicting cell behavior
  • Collaborate with the Machine Learning Science team to develop and deploy machine learning models
  • Work closely with the Biology team to collect microscopy data and develop protocols for cell differentiation
  • Design and develop robust backend APIs, integrating with client applications and machine learning models
  • Architect, build, and maintain scalable and distributed machine learning infrastructure
  • Communicate complex data insights in a clear and actionable way

Requirements

  • 5+ years of experience as a Machine Learning Engineer, including experience working in a top-tier tech company
  • Proven leadership in technical involvement and guidance of a team of ML and software engineers
  • Strong background in machine learning models and using modern frameworks for deploying these models
  • Experience working within a collaborative multi-functional team environment
  • Experience in architecting, building, and maintaining scalable and distributed machine learning infrastructure
  • Excellent communication skills

Nice to Haves

  • Experience with DevOps practices and MLOps tools
  • Experience in an AI bio company or a background in biology
  • Experience and desire to research relevant scientific publications

What We Offer

A competitive salary in line with experience, as well as some great employee benefits:

·        Contributory pension scheme

·        Private healthcare and dental insurance

·        Life assurance

·        Flexible working

·        Regular team building events