Machine Learning Engineer

🚀 Machine Learning Engineers — Open to Future Opportunities?

I’m currently building out a network of strong Machine Learning Engineers across the US for a number of upcoming opportunities with high-growth AI and technology companies.

These are NOT specific live roles right now — this is focused on building a talent pool ahead of several expected hiring projects over the coming months.

We’re particularly interested in speaking with engineers who enjoy operating at the intersection of:

• Machine Learning

• Software Engineering

• Applied AI

• Data Infrastructure

• Product & experimentation

Typical backgrounds we’re seeing demand for:

• Applied ML Engineers

• AI/LLM Engineers

• MLOps Engineers

• Research Engineers

• Computer Vision / NLP Engineers

• Backend Engineers moving into AI systems

• Engineers from high-scale AI startup environments

Tech stacks vary, but commonly include:

• Python

• PyTorch / TensorFlow

• LLM frameworks & tooling

• APIs & distributed systems

• AWS / GCP / Azure

• Kubernetes & ML infrastructure

• Vector databases / RAG pipelines

The companies we expect to support range from Seed-stage AI startups through to well-funded scale-ups building applied AI products across enterprise, infrastructure, automation, and analytics.

If you’d be open to hearing about future opportunities in this space, feel free to connect or send me a message.