Leading Machine Learning Expert
1 week ago
Faculty is a pioneering applied AI company that drives organisational performance through safe, impactful and human-led innovation.
We are Europe's leading provider of industry-leading software and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations.
Our expertise has led to partnerships with OpenAI, helping customers deploy cutting-edge generative AI safely. Our high-impact work has saved lives, produced green energy, slashed marketing spend, and kept children safe online.
What You'll Be DoingYou will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning.
The work you do will help our customers solve high-impact problems in the Energy Transition and Environment space.
You are engineering-focused, with a keen interest in operationalised machine learning.
You will develop new methodologies and champion best practices for managing AI systems deployed at scale.
You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems.
We work in cross-functional teams to cover all aspects of AI product delivery.
Main Responsibilities- Building software and infrastructure that leverages Machine Learning;
- Creating reusable, scalable tools for better delivery of ML systems;
- Mentoring data scientists and engineers to develop best practices and new technologies;
- Implementing Faculty's view on operationalising ML software.
We believe diversity fosters innovation and encourage applications from all underrepresented groups in AI.
To Succeed in This RoleYou'll need:
- Understanding of the full machine learning lifecycle and experience with frameworks like Scikit-learn, TensorFlow, or PyTorch;
- Comfort in a high-growth startup environment;
- Experience in client engagement for requirements gathering and technical planning;
- Experience in software engineering best practices and Python development.
We offer a highly competitive salary of £80,000 - £100,000 per annum, depending on experience.
Join Us-
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