The opportunity
The primary focus of a Machine Learning Scientist is to provide our customers with the most successful applications of machine learning to their real-world product research and development projects. You will work alongside our project delivery team to deliver valuable insights to our customers, and empower our customers to exploit our machine learning technology themselves. You will apply our existing machine learning technology to new problems and use the results of these projects to propose and develop new machine learning or data science solutions to real-world problems. You will also support our commercial team in providing demonstrations of our products and providing technical support to our customers.
Main duties and responsibilities
Work with our Head of Machine Learning and the rest of our scientific team to apply our unique machine learning technology to complex customer problems with some of the world’s largest organisations. You will build supportive technical relationships with our customers, ensuring that they can achieve their product development goals in the most efficient manner possible using our machine learning approach. You will push the boundaries of machine learning-driven R&D, develop new tools and analytics to support your customer engagements, and collaborate closely with other Machine Learning Scientists and Engineers, as well as the wider commercial and customer success team, within Intellegens to ensure best practices are shared and built upon.
What makes you our next Machine Learning Scientist?
Essential requirements
- 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
Desirable requirements
- 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)
The above is not an exhaustive list and you are required to be flexible in your approach to carrying out your duties which may change from time to time in order to reflect business needs or the company’s continuous improvement.
Intellegens is committed to providing training and development opportunities as part of the role to grow the technical, communication, and scientific skills of the successful candidate.
What can we offer you?
- A competitive financial package – salary and share options
- 5 weeks annual leave pro rata, flexible leave policy
- Salary sacrifice pension, with company savings being paid into the scheme
- A collaborative work environment with neither red tape nor bureaucracy
- Scope for career development as an early team member
- Support and resources to develop your skills and succeed in the role
- Hybrid working arrangements and a great team culture
- Access to an EAP, wellbeing champion, and financial advice
- Enhanced sickness policy
- Regular social and team building events
- Cycle scheme
About Intellegens
At Intellegens we enable our customers to apply advanced machine learning methods, accelerating innovation in materials, chemicals, manufacturing, and beyond. Our software can extract hidden value from real-world experimental and process data, serving organisations such as NASA, Johnson Matthey, Boeing, and AstraZeneca. The results are: faster R&D; greener, more cost-effective, better products; and more efficient use of resources. Originally a spin-out from the University of Cambridge, we are at an exciting phase in our development, with well-established products and customers and ambitious growth plans including a move to new headquarters in Cambridge and expanding our team into the US. We push the boundaries of machine learning, while working on interesting projects in a friendly, informal, and motivational work environment.
How to apply
If you are interested in this role, send a CV or showcase your suitability by emailing hr@intellegens.com
Please no recruitment agencies.