We are a global company with staff based in Europe, Asia and the USA. Our products are used by pharmaceutical and biotech companies all over the world. We are a fast growing, innovative organisation with a strong team of highly-skilled, talented individuals working together in a friendly, creative and fast-paced, environment – all striving to make a difference to the lives of patients.

The Role:

Supporting the Research & Development Engineering team at Solentim, this role will facilitate the research, design and deployment of new machine learning models.

Key Duties & Responsibilities:

• Champion the infrastructure roadmap for upcoming projects
• Research, design and deploy new machine learning models
• Plan and manage benchmarking tests for new machine learning models
• Manage AI-model codebases from research to production level
• Communicate results of the research and tests to the rest of the R&D team
• Implement state of the art computer vision models and evaluate performance against key business objectives, introducing research prototypes and features into Solentim’s portfolio of market leading instruments

Experience & Background:

• Passion for Biology focused AI/Computer Vision
• Previous experience developing and delivering robust software solutions, including advanced programming expertise in Python
• Deep knowledge of convolutional models and latest techniques with 2-3 years’ experience with any of the major deep learning frameworks (PyTorch, Keras, Tensorflow), including familiarity with ONNX
• Demonstrable industry experience of delivering computer vision-based AI projects (preferably in biotech)
• MSc or higher in CompSci, Mathematics, Physics, AI, Computational Biology or any other relevant quantitative discipline, or equivalent masters level work experience delivering AI/ML solutions
• Strong software engineering practices such as familiarity with Git, DevOps
• Producing reports and presenting results as required
• Knowledge of biotech industry with focus on cell development practices. Bonus for having experience applying ML/AI to microscope images or biological problems
• Must be continuously observant with high attention to detail and the ability to notice abnormalities in information
• Ability to work in a methodical and organised manner and keep detailed records of all work carried out
• Strong IT skills, including Excel and Word
• High levels of self-organisation, with the ability to effectively manage and plan your own workload and use initiative to forward plan and prepare for upcoming activities
• Ability to readily absorb sometimes complex bioinformatic concepts
• Pro-active and a strong team player with the ability to interact well with staff at all levels
• Strong verbal and written communication skills, with the ability to create clear, concise reports and present key findings in a manner appropriate to the audience
• Ability to work on multiple projects at one time and deliver to deadlines

Closing date: 4^th February 2022

To apply: Please send your CV, together with a covering letter outlining why you’re interested in the role and why you’d be perfect for it, to: [email protected]

For further information or an informal discussion: please contact the recruiting manager, Jamie Pattison, Advanced Engineering Manager, [email protected]