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Senior Applied AI/ML Engineer

TetraScience · Cambridge, United Kingdom

External listingfull-time21 days ago

About The Role

Join our team as a Senior Applied AI/ML Engineer, where you will be responsible for designing, developing, training, and validating AI/ML products. You will support and advise executive leadership on technical and commercial feasibility, work with commercial teams to understand the impact of AI in life sciences, and collaborate with cross-functional teams to build products. This position offers unlimited PTO, 100% company-paid health, dental, and vision insurance, a 401k savings plan, company-paid life and disability insurance, and an equity program.

  • Design, develop, train, and validate AI/ML products, ensuring they meet technical and commercial feasibility.
  • Collaborate with cross-functional teams and commercial teams to understand the impact of AI in life sciences and build products.
  • Advise executive leadership on technical aspects and advocate for AI initiatives internally and externally.
  • 10+ years of AI/ML development experience, or 5+ years developing AI/ML tools for commercial life sciences, healthcare, or regulated environments
  • Advanced degree in Biological, Data, or Computer Science
  • You will be a critical team member in a unique partnership to industrialize Scientific AI. As such, you will engage directly with customers onsite up to 4-5 days per week in the Boston region
  • Proven track record of deploying AI models addressing real world problems
  • Superior talent developing at least one of: ML reinforcement learning, fine tuning, or automated retraining; LLM agentic governance including guardrails and evaluations
  • Portfolio demonstrating end-to-end ownership of AI/ML products
  • Experience collaborating with teams on large software projects
  • Excellent communication skills
  • Ability to advocate and evangelize for AI initiatives internally and externally
  • Demonstrated ability to make productized applications (for use by more than one group)
  • Deep understanding of hurdles facing pharmaceutical drug development
  • Degree in AI or ML

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