Skills

Leadership Python Monitoring Research Training Architecture PyTorch TensorFlow

Job Specifications

Senior / Staff AI Engineer (Python, ML Systems) - FULLY REMOTE

High-growth AI |

We're working with a well-funded, fast-scaling AI company building a highly ambitious product at enterprise scale. They're now looking to add Senior and Staff-level AI Engineers to help shape the next phase of their ML platform and establish strong technical leadership within the team.

This is a product engineering role (not consultancy, not internal tools) with a heavy focus on ML systems, model deployment, and production AI infrastructure.

What you'll be doing

Designing and building production ML systems and pipelines in Python
Architecting scalable inference infrastructure and model serving systems
Building robust MLOps tooling for training, evaluation, and deployment
Owning AI system reliability, performance optimization, and monitoring at scale
Acting as a technical leader within the AI engineering team, with a clear path to Staff / Tech Lead impact
Helping lay the foundations for significant product and engineering growth over the next 12–18 months

What they're looking for

Senior or Staff-level AI/ML engineer (roughly 10–12+ years' experience)
Expert Python skills with deep ML frameworks experience (PyTorch, TensorFlow, or similar)
Proven experience running production ML systems at scale
Strong background in model deployment, MLOps, and ML system architecture
Experience with LLMs, transformers, or modern AI architectures
Comfortable making long-term technical decisions around ML infrastructure
Experience in regulated or enterprise AI environments is a plus
Strong software engineering fundamentals (not pure research)

Strong positive signals:

Solid tenures at companies running ML/AI at real scale
Clear career progression into senior AI technical responsibility
Background in production ML platforms or high-traffic AI products

Team & environment

Small, high-calibre engineering team (~8 engineers)
Fast-paced, high-ownership culture
Serious technical ambition — strong people to learn from, but expectations are high
Backed by recent oversubscribed funding and a very strong customer pipeline

Package

Senior: ~£100k–£125k
Staff: up to ~£130k (target level)
Meaningful equity at an early stage
Clear growth trajectory as the company scales toward Series A

If you're an AI engineer who thrives on turning models into products, building robust ML systems, and technical leadership, this is a rare opportunity to get in early and have genuine influence.

Interested or curious? Drop me a message for a confidential conversation