Machine Learning Engineer

Machine Learning Engineer

London, Hybrid (1-2 days onsite)

IC Resources is seeking a Machine Learning Engineer to join an exciting new start-up operating in a niche sector digitising smells! VC-backed and with a proof-of-concept, now actively seeking their first full-time Machine Learning Engineer. This exciting team have already generated initial traction with consumer electronics companies, with future desires to move into the med-tech sector. Experience in industry working on real-world products is essential as the Machine Learning Engineer will take ownership over model development, selection and integration, but also work with chemical databases and real-time biofeedback so is most likely to come with a background in computational chemistry or biology.

Required

• MSc or PhD in Computer Science, Computational Biology or Chemistry
• Minimum 2+ years of post-academic industry experience as an MLE working on real-world products
• Knowledge of prediction-based algorithms and predictive analytics   
• Experience working with real-time data and/or databases from chemicals
• Python and MATLAB

What’s on offer?

• Salary DOE
• Stock options
• Hybrid working (1-2 days onsite)

How to Apply

This is a great opportunity for a MSc or PhD educated Senior Machine Learning Engineer. Please apply now for immediate consideration and speak with Chris Wyatt at IC Resources who is recruiting for this position in London, UK.