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