Lead Foundation ML Engineer – Architecture & Deployment

Lead Foundation ML Engineer – Architecture & Deployment

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the development and deployment of cutting-edge ML models for high-performance systems.
  • Company: Join Hypercritical.ai, a pioneering tech company in West London.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving innovation in machine learning.
  • Why this job: Shape the future of ML technology and make a significant impact in the industry.
  • Qualifications: Proven experience in ML engineering and strong technical leadership skills.

The predicted salary is between 70000 - 90000 Β£ per year.

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.

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Lead Foundation ML Engineer – Architecture & Deployment employer: TechTree

At TechTree, we pride ourselves on being an exceptional employer that fosters a vibrant and innovative work culture. As a Founder Associate, you'll have the unique opportunity to collaborate directly with our founders, gaining invaluable experience across various business functions while contributing to meaningful projects. Our commitment to employee growth is reflected in our dynamic environment, where high performance is rewarded with rapid advancement opportunities, making TechTree an ideal place for ambitious individuals looking to make a significant impact.

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Contact Details:

TechTree Recruitment Team

We think you need these skills to ace Lead Foundation ML Engineer – Architecture & Deployment

Machine Learning
Model Deployment
Technical Strategy
High-Performance Computing
Scalability
GPU Acceleration
Quality Assurance