Craft Next-Gen Therapeutics with Cutting-Edge AI
Join a pioneering start-up advancing drug discovery.
The Senior MLOPs Engineer is pivotal in engineering sophisticated machine learning models that are integral to developing transformative therapeutics.
What you'll be doing:
- Engineer and manage ML infrastructures for rapid deployment and scalability of innovative AI models.
- Enhance algorithms and model efficiency in collaboration with dedicated ML teams.
- Implement and maintain robust ML systems across diverse computational platforms to meet high standards of performance.
- Optimise ML processes using advanced toolkits on cloud platforms, enhancing lifecycle management.
- Promote and implement Agile and DevOps methodologies to enhance productivity and foster technological innovation.
What experience you'll need to apply:
- A solid background in developing ML pipelines and managing large-scale data systems.
- Proficiency in Python and adeptness with top-tier ML libraries and frameworks.
- Proven capabilities in deploying scalable and secure AI solutions.
- In-depth knowledge of MLOps practices, including tools and systems for efficient model training and deployment e.g Vertex.AI, Kubeflow, Sagemaker etc.
- Experience in containerised environments.
What you'll get in return for your experience
A competitive salary range of £70,000-100,000, along with significant equity options.
Enjoy comprehensive benefits like insurance, flexible work options, remote working and a collaborative environment that champions personal and professional growth.
What's next?
Ready to impact the medicine with your ML expertise? Apply now to contribute to groundbreaking projects that turn scientific discoveries into practical solutions!