Founding ML Engineer β€” Agentic Systems & Enterprise AI

Founding ML Engineer β€” Agentic Systems & Enterprise AI

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Crane Venture Partners

At a Glance

  • Tasks: Architect memory and reasoning capabilities for autonomous agents in AI.
  • Company: Pavo Labs, a pioneering tech company in London.
  • Benefits: Equity opportunities, competitive salary, and a chance to shape the future of AI.
  • Other info: Dynamic startup environment with significant growth potential.
  • Why this job: Join a small team at the forefront of AI and make a real-world impact.
  • Qualifications: Experience in machine learning and a passion for innovative technology.

The predicted salary is between 60000 - 80000 Β£ per year.

Pavo Labs in London is hiring a Founding ML Engineer focused on Agentic Systems to build foundational technologies for enterprise superintelligence. You will help architect memory, reasoning, and learning capabilities of autonomous agents, tackling long-horizon planning and knowledge representation.

Join a small team of researchers and engineers at the edge of AI, shipping systems that scale to trillions of agent interactions, with opportunities for equity and impact on real-world business.

Founding ML Engineer β€” Agentic Systems & Enterprise AI employer: Crane Venture Partners

At Gigs, we pride ourselves on fostering a dynamic and collaborative work environment where innovation thrives. As a Growth Operations Lead, you'll be at the forefront of shaping our operational strategies while enjoying competitive compensation, stock options, and a strong emphasis on personal development. Our vibrant office spaces and commitment to in-person collaboration ensure that you will be part of a close-knit team dedicated to transforming the telecom landscape.

Crane Venture Partners

Contact Details:

Crane Venture Partners Recruitment Team

We think you need these skills to ace Founding ML Engineer β€” Agentic Systems & Enterprise AI

Problem-Solving Skills
Python
Communication Skills
SQL
Data Engineering
Data Pipeline Development
API Integration