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This listing was closed on Aug 31, 2026.
Browse Open JobsSenior Machine Learning Engineer
Summary by AIEngineer.careers
Senior Machine Learning Engineer is a Machine Learning Engineer role (full-time). with Unitary. in REMOTE, WORLDWIDE. Imported listing (source: foundersarehiring.com). Apply on the employer's site (foundersarehiring.com).
Imported listing (source: foundersarehiring.com) · Apply on foundersarehiring.com
REMOTE · WORLDWIDE
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from foundersarehiring.com
Unitary is seeking a Senior Machine Learning Engineer to design and build AI-powered Virtual Agents that automate customer trust and safety operations. The role combines ML engineering, full-stack development, and MLOps to deliver scalable, reliable AI solutions for enterprise customers. You will work closely with customers, contribute to the agentic AI platform, and help shape the company's ML and computer vision roadmap.
Responsibilities
- Collaborate with customers to understand workflows and design/build Virtual Agents.
- Contribute to the development of the Virtual Agent development platform.
- Ensure AI services maintain high standards of reliability, observability, availability, and performance.
- Participate in the ML community to influence ML and computer vision implementations.
- Take ownership of customer outcomes with autonomy to make decisions that delight customers.
- Contribute full-stack development including software engineering, DevOps, and MLOps.
Requirements
- Strong Python and Machine Learning Engineering skills.
- Ability to develop agentic AI systems or willingness to learn.
- Understanding of or willingness to learn Kubernetes deployment.
- Problem-solving and project management skills to analyze workflows and design automated solutions.
Unitary
Greater London · GB · 46+ employees
Unitary is an AI company specializing in visual content moderation, using context-aware computer vision to identify and flag harmful content. They also provide virtual agents that automate complex operational workflows.
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