Machine Learning Research Engineer

Machine Learning Research Engineer

We are representing Unitary - a fast-growing AI startup building Virtual Agents that automate complex trust & safety workflows. We combine deterministic systems, large-language-model reasoning, and human-in-the-loop expertise to help enterprises make safer, more reliable decisions at scale.

Our platform processes millions of images and videos every day
, supporting some of the world’s largest online platforms.

Backed by Creandum and Plural
, with $25M+ raised
, we’re scaling quickly and pushing the frontier of intelligent, accountable automation online.

We’re hiring a Machine Learning Research Engineer to help shape the next generation of Virtual Agents.

You’ll lead the development of our Agent Factory
— a system that turns captured workflows into scalable, production-ready agents by unifying code generation, orchestration, and AI reasoning.

Sitting at the intersection of research and engineering, you’ll prototype, validate, and product ionise systems that enable AI to autonomously construct, optimise, and execute complex software workflows.

This is a hands-on role with real ownership and real impact.

• Design and build the Agent Factory for creating, deploying, and managing Virtual Agents
• Develop frameworks for code generation, evaluation, and workflow automation
• Integrate LLM‑based reasoning with deterministic Python systems
• Run experiments to benchmark, validate, and improve automation quality
• Collaborate with platform, ML, and customer teams to deploy agents at scale
• Influence Unitary’s technical roadmap and agentic AI research direction

• Strong Python experience, with exposure to LLMs, agentic AI, or code‑generation systems
• Solid software engineering fundamentals (design, testing, MLOps / Dev Ops)
• Comfortable moving between research, rapid prototyping, and production
• Curious, pragmatic, and collaborative in fast‑moving environments

Temporal or other workflow orchestration tools, Playwright or browser automation, CI/CD pipelines, Terraform, or scaling ML systems in production.

• Remote‑first across Europe
• Competitive salary plus meaningful equity
• Flexible working with generous parental and sick leave
• Annual budgets for learning and wellbeing
• 3‑4 team off‑sites per year across London or Europe