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Machine Learning Field Engineer

Skills Alliance
London
11 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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