Senior Machine Learning Engineer, Customers

October 24

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Unitary

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Artificial Intelligence • Cybersecurity • SaaS

Unitary is a company that provides AI-driven solutions for Trust and Safety tasks, combining virtual AI agents and human experts to deliver accurate moderation and safety operations. Their services include moderation of reviews, images, videos, vetting, enforcement activities, and document checks. Unitary's AI agents work within clients' existing tools to automate tasks and maintain high accuracy, reducing costs and exposure time. They offer flexible payment models based on task volume and require no additional engineering integration. Based in London, England, and Marin, California, USA, Unitary is recognized for its innovative approach to managing Trust and Safety operations.

11 - 50 employees

🤖 Artificial Intelligence

🔒 Cybersecurity

☁️ SaaS

📋 Description

• Collaborate with customers to thoroughly understand their workflows, then design and build Virtual Agents that automate their processes. • Contribute to the development of our Virtual Agent development platform that scales with our product strategy. • Ensure our AI services maintain high standards of reliability, observability, availability, and performance. • Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. • Take ownership of customer outcomes with the autonomy to make decisions that surprise and delight our customers. • Contribute full-stack development including software engineering, DevOps, and MLOps, along with light task and project management to ensure your AI solutions deliver maximum value.

🎯 Requirements

• Have strong Python and Machine Learning Engineering skills, with experience using and applying AI to solve customer problems • Can (or want to learn to) develop agentic AI systems that can automate human processes • Have an understanding of (or want to learn) how software is deployed through Kubernetes, and with the capability to deploy some infrastructure elements independently • Can demonstrate problem solving and project management skills in order to analyse workflows and design automated solutions • Thrive in a collaborative environment where group output and team achievements weigh heavier than individual input • Can travel to our company-wide offsites three times per year • Experience working in a fully remote, international team • Previous startup experience • A background in building and operating agentic AI systems • Experience with MLOps practices and tools, and monitoring machine learning systems in production • Knowledge of CI/CD practices and tools such as GitLab CI, Argo CD • Proficiency with SQL and NoSQL databases • Worked with Kubernetes and infrastructure as code (IaC) tools such as Terraform • Experience with Large Language Models (LLMs) and a keen interest in staying current with the latest AI technology advancements

🏖️ Benefits

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