Member of Technical Staff in London Area

Job description

Member of Technical Staff (Applied ML) – Agentic AI

London, UK - Hybrid / Flexible (must be UK-based already | £200k+ & Equity

A new frontier in AI infrastructure is being built, and we’re hiring the founding technical team to make it happen.

Mission: to create super-intelligence as a copilot for AI teams. A system that enables enterprises to move from experimentation to full-scale production without the need for a massive ML engineering organisation.

An early-stage, high-impact startup founded by engineers and researchers from Google, Spotify, and Uber, backed by some of the world’s most influential investors. With offices in London and San Francisco, they’ve just completed a major funding round and are scaling toward Series A in early 2026.

The Role

We’re looking for a Member of Technical Staff (Applied ML) who thrives on building systems that work in the real world.

You’ll join as one of the company’s first 10 engineering hires, shaping the core architecture, training stack, and intelligent agent frameworks that define how AI systems reason, plan, and act autonomously.

This is not a research-only position; it’s a hands-on, product-focused role where execution speed and technical depth matter.

What You’ll Do

• Design and implement large-scale agentic AI systems and intelligent orchestration layers.
• Work across the stack, from data pipelines to model deployment and real-time inference.
• Build tools and infrastructure that empower ML teams to deploy and iterate faster.
• Collaborate directly with founders on architecture, strategy, and product roadmap.
• Contribute to a high-performance, low-ego engineering culture focused on shipping.

What We’re Looking For

• Deep experience in Applied Machine Learning and Agentic AI systems.
• Proficiency in modern ML stacks (Python, PyTorch, JAX, Ray, etc.) and production deployment.
• Proven ability to move fast, ship code, and bridge research with real-world impact.
• Experience in early-stage or startup environments is a plus.
• A “builder” mindset; you’re happiest when ideas turn into working systems.

Key Experience:

• Agentic System Design
• LLM Engineering/Foundation Models
• Planning and Reasoning
• Scalable ML Infrastructure
• Reinforcement Learning (esp. RLHF/RLAIF)
• Simulation or feedback-driven adaptation

Interview Process

1. Initial Chat – Conversation with a Founder
2. Technical Round 1 – Agentic System Design
3. Technical Round 2 – Engineering Principles
4. Final – Meet the Co-Founders

Extra information

Status

Open

Education Level

Secondary School

Location

London Area

Type of Contract

Part-time jobs

Published at

30-10-2025

Full UK/EU driving license preferred

No

Car Preferred

No

Must be eligible to work in the EU

No

Cover Letter Required

No

Languages

English