Machine Learning Field Engineer

Skills Alliance

London

7 months ago

Applications closed

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Responsibilities

Engage with prospective clientsto grasp their scientific and technical needs, challenges, and goals. Use these insights to design and deliver customized product demos that highlight solution benefits.
Translate complex scientific needs—such as requirements in biochemical analysis, molecular modeling, or drug discovery
Collaborate with researchers and computational scientiststo help them explore how technology can support key areas like protein folding, molecular simulations, and drug discovery.
Serve as a technical resourcefor commercial and pre-sales teams.
Lead and oversee proof-of-concept initiativesand pilot projects with potential clients
Gather and communicate client feedbackto product and development teams

Qualification

MSc or PhD in Computational Biology, Computer Science or related fields, with 2+ years of industry experience
Experience incomputational biology tasks, molecular simulations, or analyzingbiochemical data pipelines
Used predictive biology tools, focused onprotein structure prediction orADME-tox analysis
Client Engagement: Passionate about directly interacting with clients, understanding their challenges, and providing technical support to enhancesales outcomes
Programming:Python proficiency is essential, and knowledge of additional languages (e.g.,R, Go, Rust, JavaScript)
ML Implementation Experience: Practical skills in deploying ML using a range ofopen-source tool
Cloud Platform Variety: Experience withmulti-cloud or on-premise solutions
Distributed Systems Knowledge: Skilled in working with or deploying distributed systems

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