Full-Time

Machine Learning Engineer

Customer Solutions

Unitary

Unitary

51-200 employees

AI-powered virtual agents for process automation

No salary listed

Remote in UK

Remote

Must travel to company-wide offsites three times per year.

Category
AI & Machine Learning (1)
Required Skills
LLM
Kubernetes
MLOps
Python
NoSQL
SQL
Machine Learning
Infrastructure as Code (IaC)
Argo CD
Terraform
Observability
DevOps
Computer Vision

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Requirements
  • Strong Python and machine learning engineering skills, with experience using and applying artificial intelligence to solve customer problems.
  • Ability or willingness to learn to develop agentic artificial intelligence systems that automate human processes.
  • Understanding of, or willingness to learn, software deployment through Kubernetes, with the capability to deploy some infrastructure elements independently.
  • Problem-solving and project-management skills to analyse workflows and design automated solutions.
  • Ability to travel to company-wide offsites three times per year.
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 the product strategy.
  • Ensure artificial intelligence services maintain high standards of reliability, observability, availability, and performance.
  • Participate in the machine learning community to influence implementation of machine learning and computer vision technologies.
  • Provide hands-on support for machine learning models as they come to market and develop self-service tools that enable customers to achieve value independently.
  • Contribute to full-stack development, including software engineering, DevOps, and MLOps, with light task and project management to ensure artificial intelligence solutions deliver value.
  • Engage with customers, explore and present new ideas, lead technical deliveries, and support customer outcomes.
Desired Qualifications
  • Experience working in a fully remote, international team.
  • Previous startup experience.
  • Experience building and operating agentic artificial intelligence systems.
  • Experience with MLOps practices and tools and monitoring machine learning systems in production.
  • Knowledge of continuous integration and continuous delivery practices and tools such as GitLab CI and Argo CD.
  • Proficiency with SQL and NoSQL databases.
  • Experience working with Kubernetes and infrastructure-as-code tools such as Terraform.
  • Experience with Large Language Models and an interest in current artificial intelligence technology advancements.

Unitary builds AI-powered Virtual Agents that automate high-volume manual tasks inside clients’ existing tools without complex integrations. The agents mimic human workflows, handle multi-step processes with reasoning, and can escalate tasks to human experts when needed, all under an outcome-based per-task pricing model with no upfront setup fees. It began with multimodal content moderation and has extended to insurance and e-commerce, achieving substantial cost reductions and very high automation in some workflows. The goal is to scale reliable AI-assisted operations across industries with measurable efficiency gains and high accuracy.

Company Size

51-200

Company Stage

Series A

Total Funding

$25M

Headquarters

London, United Kingdom

Founded

2019

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Simplify Jobs

Simplify's Take

What believers are saying

  • October 2025 insurance rollout opened a larger, higher-ACV enterprise market.
  • Attune’s loss-run automation hit 99%+ automation in five weeks.
  • July 2026 hiring and product launches signal ongoing execution across the stack.

What critics are saying

  • OpenAI, Google, and legacy BPM vendors compress Unitary’s differentiation by 2026.
  • Insurance expansion from 2025 hinges on a narrow workflow set and early customers.
  • If moderation or agent accuracy fails, contracts, liability, and trust collapse quickly.

What makes Unitary unique

  • Unitary’s multimodal moderation classifies video, audio, text, and images together.
  • Its Virtual Agents run inside legacy systems with no integrations or process changes.
  • Outcome-based pricing and human escalation promise guaranteed accuracy on messy workflows.

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Benefits

Flexible Work Hours

Remote Work Options

Hybrid Work Options

Parental Leave

Paid Sick Leave

Professional Development Budget

Wellness Program

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

-1%

2 year growth

-4%
The Next Web
Oct 3rd, 2023
Social media has new moderation problems. This AI startup has a solution

Unitary, a startup based in London, has proposed a solution: an AI -powered moderation tool for videos and images.

EU-Startups
Oct 3rd, 2023
London-based Unitary raises €14.3 million Series A to ensure a safer online experience with AI

Unitary, an AI-powered visual moderation company, has raised €14.3 million in Series A funding led by Creandum with participation from Paladin Capital Group and Plural.

Unitary
Oct 3rd, 2023
Unitary raises $15M Series A to keep digital communities safe by classifying the internet's information

Unitary is delighted to announce that Unitary has raised $15 million in Series A funding, led by Creandum with participation from Paladin Capital Group and Plural.

Tech.eu
Oct 3rd, 2023
Unitary Raises $15M In Series A Funding Round For Ai-Driven Content Moderation

Unitary, a London-based startup working in the field of visual content moderation, has raised $15 million in a Series A funding round. The company uses contextual AI to automate content moderation and keep the bad actors, e.g. NSFW or otherwise, at bay.The investment arrives in conjunction with Unitary launching across multiple languages, has upped the team size to 53, and has tripled the number of daily videos it classifies to 6 million a day.The startup’s Series A round was led by Stockholm’s Creandum with Paladin Group Capital and Plural participating.Unitary was founded in 2019 by Sasha Haco and James Thewlis. Haco, a mathematician who worked with Steven Hawking on the black hole information paradox during her Ph.D. at Cambridge, and Thewlis, a computer vision specialist who previously worked with Facebook AI Research, met at an Entrepreneur First’ accelerator programme.Leveraging the ever-growing power of AI, according to Unitary, their offering can ‘read’ the context of user-generated videos. Meaning, the machine can tell the difference between footage of a white supremacist rally in Charlottesville, Virginia, and documentary footage used to illustrate the dangers of said actions

Sifted
Oct 2nd, 2023
Unitary raises $15m for more nuanced nipple detection

Unitary raises $15m for more nuanced nipple detection.