Senior ML Systems Engineer

London (Hybrid) | £100K–£155K + Significant Equity

What if your work didn’t just scale models… but reshaped an entire industry?

This is a well-funded AI scale-up (≈170 people, $100M+ raised) building cutting-edge technology used by some of the world’s most recognised media and entertainment organisations. Following rapid growth and new funding on the horizon, they’re hiring multiple Senior & Staff ML Systems Engineers to join a small, highly senior team in London.

This is not a research lab. And it’s not a pure platform role.

It sits right in the middle — where production ML meets real-world impact at scale.

💡 The Opportunity

You’ll take ownership of the systems that power large-scale, multimodal ML pipelines, working closely with researchers while staying grounded in production reality.

Expect to:

• Build and scale infrastructure that enables training, evaluation, and deployment of advanced ML models
• Own end-to-end ML systems — from data ingestion to high-performance inference
• Work with large, complex datasets (including video and multimodal data)
• Optimise GPU workloads and parallelise models for production performance
• Develop tooling for experimentation, evaluation, and model lifecycle management
• Operate in a high-autonomy, low-ego, senior environment where engineering quality matters

This is a role for someone who enjoys getting their hands dirty — not just designing systems, but making them work at scale.

🧠 What we’re Looking For

You’ll likely bring:

• 5+ years building production ML systems OR ML infrastructure
• Strong Python skills + experience with a robust production language (C++, Java, Scala, etc.)
• Proven experience deploying and scaling models in production
• Solid understanding of distributed systems and performance optimisation
• Exposure to high-volume / large-format data (ideally vision or multimodal)
• A product mindset — you care about outcomes, not just elegant systems

Bonus points for:

• Experience with tools like Ray, Triton, Spark, Iceberg
• Background in startup environments (≈50–300 people)

⚠️ Not the Right Fit If…

• You’re purely research-focused and prefer working on model development only
• You’ve only worked on internal platforms without owning production ML systems
• You thrive in highly structured big tech environments with limited ambiguity

🌍 Why This Role Stands Out

• Real-world impact at scale — your work is used globally in a highly visible industry
• Senior, low-ego team — you’ll be surrounded by people who genuinely know their craft
• Strong compensation — £100K–£155K base + equity (~50% of base)
• Timing matters — joining ahead of a major funding event

If you’re looking for a role where you can bridge ML research and real-world systems, and actually see your work in action at scale, this is one worth exploring.