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.
- 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