Sr Machine Learning Engineer

Company: Eightfold
Apply for the Sr Machine Learning Engineer
Location: London
Job Description:

Overview

In this role you will help shape Eightfold.ai’s agentic AI platform by researching, designing, and deploying autonomous AI agents at scale. You will work with cross-functional teams to define requirements and deliver high-impact, personalized experiences for millions of users. You’ll advance LLM-based autonomy, multi-agent planning, and robust infrastructure while staying at the forefront of AI research. This is a fantastic chance to contribute to cutting-edge, enterprise-grade AI that transforms how people connect with opportunities.

Pay / Benefits

  • hybrid work model
  • base salary
  • discretionary bonus up to 15%
  • preIPO equity
  • comprehensive family medical, vision, and dental coverage
  • equity awards eligibility

Responsibilities

  • Research, design, and deploy advanced AI agents and agentic systems
  • Architect multi-agent platforms with planning, decision-making, and execution capabilities
  • Integrate LLMs and state-of-the-art AI techniques to boost agent autonomy
  • Build scalable, reliable infrastructure to support agent operations at scale
  • Collaborate with product, design, and engineering to define requirements and deliver solutions
  • Diagnose issues in distributed environments and optimize performance
  • Contribute to team knowledge sharing and technical growth
  • Stay current with AI research and apply innovations to products
  • Leverage enterprise and user data to craft personalized agent experiences
  • Contribute to Copilot GenAI Workflows for Users for chat-like command execution

Key requirements

  • Knowledge and passion in machine learning, GenAI, LLMs, and agentic AI
  • Understanding of agent-based modeling, reinforcement learning, autonomous systems
  • Experience with LLMs and their applications in Agentic AI
  • Proficiency in Python; experience with TensorFlow or PyTorch
  • Experience with AWS and containerization (Docker, Kubernetes)
  • Understanding of distributed system design and microservices
  • Strong coding and algorithm skills; excellent problem-solving and data analysis abilities
  • Strong communication and collaboration skills
  • Bachelor in Computer Science, Artificial Intelligence, or related field, or equivalent experience
  • Min 2-5+ years of relevant ML work experience
  • strong communication
  • collaboration
  • problem-solving
  • Python
  • TensorFlow
  • PyTorch

…

Posted: October 16th, 2026