Machine Learning Engineer | Outside IR35 | Hybrid

  • London


Role Title: ML Engineer
Contract Length: 12 weeks (not including Christmas)
Inside/Outside IR35: Outside

The Life Sciences team is engaged in a data mining project from scientific papers, particularly focused on LLM. The team has successfully developed a proof of concept showcasing the extraction of valuable insights. Currently, they are in a transitional phase, providing guidance to the client on potential next steps, including the possibility of a full-scale build of the MVP solution.

Role Profile:

  • Understanding of the full machine learning lifecycle, including deploying models using frameworks like Scikit-learn, TensorFlow, or PyTorch.
  • Familiarity with core probability and statistics concepts, along with common supervised and unsupervised learning techniques.
  • Software Engineering experience, particularly in Python.
  • Technical expertise in cloud architecture, security, deployment, and open-source tools, with hands-on experience on at least one major cloud platform.
  • Demonstrable experience with containers, specifically Docker and Kubernetes.
  • Comfortable operating in a high-growth startup environment.
  • Outstanding verbal and written communication skills.
  • Excitement about a dynamic role with autonomy, taking ownership of problems from conception to execution.
  • Knowledge of or interest in retail-focused solutions, especially those related to understanding consumer behaviors.

If you're a skilled ML Engineer seeking an exciting opportunity to contribute to a cutting-edge project in Life Sciences, we invite you to apply. Please submit your resume and a brief cover letter detailing your relevant experience


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