Machine Learning Solutions Engineer

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

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Referrals increase your chances of interviewing at Understanding Recruitment by 2x

• 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.)

• 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