Machine Learning Scientist

Location Cambridge
Discipline: Machine Learning
Job type: Permanent
Contact name: Bradley Green

Contact email:
Published: 28 days ago

​We are looking for a Machine Learning Scientist to join a dynamic team focused on applying cutting-edge machine learning technology to real-world product research and development projects.

About the company hiring:

The organization is dedicated to enabling customers to leverage advanced machine learning techniques for accelerated innovation in various industries, including materials, chemicals, and manufacturing. With a focus on extracting hidden value from experimental and process data, the company serves prominent organizations such as NASA, Boeing, and AstraZeneca.

What you will be doing in the role:

As a Machine Learning Scientist, you will collaborate with the Head of Machine Learning and the scientific team to implement innovative machine learning solutions for complex customer challenges.

  • Build strong technical relationships with customers

  • Leverage machine learning technology to support their product development objectives efficiently

  • Explore new applications of machine learning to address real-world problems.

  • Work closely with other Machine Learning Scientists and Engineers, to enhance best practices within the organization.

What the company hiring is looking for:

  • MSc or PhD in machine learning, computer science, chemical or life sciences, or similar field

  • Experience in statistical analysis and machine learning

  • Experience in customer-facing roles

  • An ability to track multiple projects running in parallel, managing conflicting priorities

  • Highly motivated and adaptable to rapidly developing technical and commercial drivers

  • Ability to clearly communicate both algorithms and applications with technical and business teams

  • Chemical or life science experience

  • Experience with oligonucleotide, DNA/RNA, genomic or other -omics data or development

  • Application of machine learning to real-world problems

  • Familiar with python and common libraries (numpy, pandas, scipy)

What the company hiring is offering:

  • Competitive salary

  • Share options

  • Flexible leave policies

  • Salary sacrifice pension

  • Career development

  • Hybrid working

  • Regular social events

  • Enhanced sickness policies