About The Role
Our client is seeking a Senior ML Engineer to lead the research, development, and deployment of their novel foundation model. This role involves defining the technical strategy and optimizing performance to ensure scalability for their AI/ML start-up in London.
What You’ll Be Doing
- Lead the research, development, and production deployment of Hypercritical’s foundation model.
- Define the long-term technical strategy for high-performance Machine Learning systems.
- Optimize the model for peak performance across diverse hardware and ensure scalability for exponential user growth.
- Serve as the technical guardian for the model’s quality and Service Level Objectives (SLOs).
- Provide a hands‑on solution architecture for the core ML infrastructure.
- Select, evaluate, and implement state‑of‑the‑art technologies.
- Profile and optimize the end‑to‑end ML stack.
- Design and implement GPU‑accelerated components, including custom CUDA kernels.
- Work closely with the founders to translate product requirements into technical roadmaps.
- Build internal tooling, benchmarks, and evaluation harnesses.
What We’re Looking For
- Expertise in designing, architecting, and implementing large‑scale foundation models.
- Significant hands‑on experience optimizing and debugging deep learning models.
- Practical experience with distributed or large‑scale training and inference.
- Deep understanding of at least one major deep learning framework (ideally PyTorch).
- Experience building and operating ML systems on cloud platforms.
- Passion and determination.
- Able to grind through complicated and ambiguous problems.
- Delivery‑oriented; respects timelines and commitments.
- Openness to disagreement.
- On‑site work in London preferred – remote work with visits in office once a month acceptable.
Compensation & Benefits
- Salary range: £100,000 – £150,000
- Equity: Share options
About The Company
Our client is an AI/ML tech start‑up developing a novel foundation model aimed at achieving fully automated, unsupervised software delivery in embedded control systems. Based in West London, they are backed by venture capital and are scaling their team.
