Machine Learning Scientist

An opportunity for a Machine Learning Engineer to work with an incredibly talented group of individuals and to develop and progress their career.
Location: Cambridge
Fantastic opportunity to grow and develop The opportunityThe 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 responsibilitiesWork 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?MSc or PhD in machine learning, computer science, chemical or life sciences, or similar fieldExperience in statistical analysis and machine learningExperience in customer-facing rolesAn ability to track multiple projects running in parallel, managing conflicting prioritiesHighly motivated and adaptable to rapidly developing technical and commercial driversAbility to clearly communicate both algorithms and applications with technical and business teamsChemical or life science experienceExperience with oligonucleotide, DNA/RNA, genomic or other -omics data or developmentApplication of machine learning to real-world problemsFamiliar 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 options5 weeks annual leave pro rata, flexible leave policySalary sacrifice pension, with company savings being paid into the schemeA collaborative work environment with neither red tape nor bureaucracyScope for career development as an early team memberSupport and resources to develop your skills and succeed in the roleHybrid working arrangements and a great team cultureAccess to an EAP, wellbeing champion, and financial adviceEnhanced sickness policyRegular social and team building eventsAt 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 applyIf you are interested in this role, send a CV or showcase your suitability by emailing ##### Company number : 10591395 | Vat number: 267525774Address: The Studio, Chesterton Mill, Cambridge, United Kingdom, CB4 3NP Privacy policy
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