Machine Learning Solutions Engineer
🌍 Remote (±3h UK time) | 💰 Competitive salary + equity
📈 Backed by Creandum & Plural ($25M+ raised)
About Unitary
Unitary builds AI systems that combine human expertise and intelligent automation to handle complex real-world tasks — from trust & safety to marketplace operations.
We already analyse millions of images and videos daily, helping businesses scale safely and efficiently. Our mission: create an internet free from harm, where AI makes safe, fair, and transparent decisions.
The Role
We’re hiring a Machine Learning Solutions Engineer to design, build, and deploy AI systems that automate customer workflows.
You’ll work end-to-end — understanding client challenges, creating “Virtual Agents” that combine ML and software, and scaling these capabilities across our platform. It’s a hands-on, product-facing role with real ownership and impact.
What You’ll Do
- Design and deliver Virtual Agents that automate customer processes
- Build scalable, production-ready AI solutions across the stack (ML, MLOps, DevOps)
- Collaborate directly with customers and internal teams to drive adoption
- Contribute to Unitary’s ML platform and community, shaping our future technology
What We’re Looking For
- Strong Python and Machine Learning Engineering experience
- Curiosity for agentic AI and automation systems
- Understanding of deployment (e.g. Kubernetes, CI/CD, MLOps)
- Problem-solver who enjoys working directly with customers
- Collaborative, proactive, and excited by startup pace
(Bonus: prior startup or remote-team experience, LLM familiarity, or infrastructure knowledge such as Terraform or Argo CD.)
Why Unitary
- Remote-first team (~20 people across Europe & North America)
- Flexible hours, competitive pay, equity, and generous leave
- Annual budgets for professional growth and well-being
- 3 off-sites per year in London or European destinations
