Associate Principal Ai& Ml Engineer – Evinova

Evinova

London, United Kingdom
Competitive; bonus/equity: excellent benefits; ben...
Build sophisticated genai applications
Deliver production-ready code on aws
Transform real-world data into evidence
Evinova aims to boost clinical trial success by 20%, cut development time by 3 years, and halve study costs using advanced algorithms and GenAI

Job Summary

  • Evinova aims to boost clinical trial success by 20%, cut development time by 3 years, and halve study costs using advanced algorithms and GenAI.
  • You will build the AI engines that make those targets real, blending forecasting, optimization, and evidence synthesis to drive transparent and actionable recommendations.
  • This is a hands-on role with around 80% time spent on coding, transforming multi-source data into production-grade intelligence and connecting insights into automated workflows.

Matching Summary

Evinova aims to boost clinical trial success by 20%, cut development time by 3 years, and halve study costs using advanced algorithms and GenAI.

Salary

Competitive; Bonus/Equity: Excellent Benefits; Benefits: Not specified

Skills & Requirements

Must-have

  • Build sophisticated GenAI applications
  • Deliver production-ready code on AWS
  • Transform real-world data into evidence
  • Develop AI agentic solutions
  • Modern deep learning skills
  • Strong AWS fundamentals
  • Hands-on experience with Python

Nice-to-have

  • Experience with real-world data
  • Knowledge of drug development
  • Prior pharma experience
  • Reinforcement learning and LM fine-tuning
  • Contributions to open-source frameworks

Key Requirements

  • Ph.D. or equivalent experience
  • Previous demonstrated experience building applied ML/AI systems
  • Proven track record of developing novel AI solutions
  • Knowledge of agentic design patterns
  • Proficiency in Python; PyTorch or TensorFlow; Hugging Face
  • Experience with managed endpoints and agent frameworks
  • Ability to build secure ingestion and retrieval pipelines
  • Strong AWS fundamentals for production workloads
  • Experience with containers and CI/CD

Work Rights

Not specified

Tailored Resume

Cover Letter