Lead Foundation ML Engineer – Architecture & Deployment

TechTree; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Hypercritical.ai in West London is seeking a senior ML engineer to lead the research, development, and production deployment of our foundation model. You will define the long-term technical strategy for high-performance ML systems and ensure scalability across diverse hardware.

You will optimize the model for peak performance, serve as the technical guardian for quality and SLOs, design GPU-accelerated components, and collaborate with founders to align product goals with technical roadmaps.

Qualifications

• Expertise in foundation models design and deployment.
• Strong understanding of major DL frameworks, preferably PyTorch.
• Experience building and operating ML systems on cloud platforms.
• Ability to work through complex, ambiguous problems with delivery focus.

Responsibilities

• Lead the research, development, and production deployment of Hypercritical's foundation model.
• Define the long-term technical strategy for high-performance ML 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 SLOs.
• Provide a hands-on solution architecture for the core ML infrastructure.
• Select, evaluate, and implement state-of-the-art technologies (distributed training, specialized hardware, efficient serving).
• Profile and optimize the end-to-end ML stack: data pipelines, training loops, inference serving, deployment.
• Design GPU-accelerated components, including CUDA kernels where needed.
• Collaborate with founders to translate product requirements into optimization goals and roadmaps.
• Build internal tooling, benchmarks, and evaluation harnesses for experimentation and safe shipping.

Skills

Foundation model design

DL model debugging

Distributed training

PyTorch expertise

Cloud ML systems

Problem solving

Delivery mindset

Disagreement tolerance

Execution under timelines

Onsite London

Job description

Hypercritical.ai in West London is seeking a senior ML engineer to lead the research, development, and production deployment of our foundation model. You will define the long-term technical strategy for high-performance ML systems and ensure scalability across diverse hardware.

You will optimize the model for peak performance, serve as the technical guardian for quality and SLOs, design GPU-accelerated components, and collaborate with founders to align product goals with technical roadmaps.