Overview

Machine Learning Engineer - Customer Solutions at Unitary, Greater London, England, United Kingdom.

We are a rapidly growing startup blending human expertise with AI agents to automate manual customer and marketplace operations. Our approach combines high-accuracy human decision-making with AI automation to solve real-world trust & safety challenges and more, while aiming for safe and fair AI decisions at scale.

Responsibilities

• Collaborate with customers to understand their workflows and design and build Virtual Agents that automate their processes.
• Contribute to the development of the Virtual Agent development platform that scales with our product strategy.
• Ensure AI services maintain reliability, observability, availability, and performance.
• Participate in the machine learning community to influence how we implement machine learning and computer vision technologies.
• Take ownership of customer outcomes with autonomy to deliver value and delight customers.
• Contribute to full-stack delivery including software engineering, DevOps, and MLOps, with light project management to maximize impact of AI solutions.

Requirements

• Strong Python and Machine Learning Engineering skills, with experience applying AI to solve customer problems.
• Ability to develop agentic AI systems that automate human processes or willingness to learn.
• Understanding of software deployment via Kubernetes and the ability to deploy some infrastructure elements independently.
• Demonstrated problem-solving and project management skills to analyze workflows and design automated solutions.
• Thrives in a collaborative environment with emphasis on team outcomes.
• Willingness to travel to company-wide offsites three times per year.

Nice to have

• Experience in fully remote, international teams.
• Previous startup experience.
• Background in building and operating agentic AI systems.
• MLOps practices and monitoring ML systems in production.
• Knowledge of CI/CD practices and tools (e.g., GitLab CI, Argo CD).
• Proficiency with SQL and NoSQL databases.
• Experience with Kubernetes and infrastructure as code (e.g., Terraform).
• Experience with Large Language Models (LLMs) and staying current with AI advancements.

Benefits

• Flexible hours and location
• Competitive salary and equity package
• Occupational pension
• Generous paid parental leave
• Generous paid sick leave
• Annual budget for professional development and growth
• Annual budget for health and wellness
• Three team offsites to London or other destinations in Europe

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Engineering and Information Technology
• Industries: Software Development