Unitary
Machine Learning Engineer- Customer Solutions
Remote Machine Learning Engineer role with clear candidate location fit.
PostedJul 1, 2026
Eligible countries41 accepted countries
Seniority signalSenior
Work settingRemote
Accepted candidate locations
Role overview
Machine Learning Engineer- Customer Solutions
Requirements and responsibilities
Readable role content extracted into sections for faster review.
As part of this role, you will:
- 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.
We would love to hear from you if you:
- 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
We would love to hear from you if you:
- 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
Working at Unitary
- 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 offsites to London or other exciting destinations in Europe
Similar roles
Keep a backup shortlist.
CI/CD 9 accepted countries
Senior Mobile QA EngineerSubway EcommerceView role CI/CD 9 accepted countries
Senior QA Automation EngineerSubway EcommerceView role Eas Build, Expo 9 accepted countries
Senior/Lead Mobile EngineerVox MediaView role JavaScript, Node.js 9 accepted countries
Senior Software EngineerSubway EcommerceView role Stack
Use these tags to compare similar remote roles.
Location eligibility
Candidates should apply only when their profile country is listed here.
Your profileCountry not setSign in to check your country against this role.
View all 41 accepted countries
AlbaniaAustriaBelarusBelgiumBulgariaCanadaCroatiaCyprusCzechiaDenmarkEstoniaFinlandFranceGermanyGreeceHungaryIcelandIrelandItalyLatviaLithuaniaLuxembourgMaltaMexicoMoldovaMontenegroNetherlandsNorth MacedoniaNorwayPolandPortugalRomaniaSerbiaSlovakiaSloveniaSpainSwedenSwitzerlandUkraineUnited KingdomUSA
Hiring flow
WithMira shows the role, then sends candidates to the company application.
1Check role fit, stack, and location eligibility in WithMira.
2Open the company application page from the tracked apply link.
3Save the role or subscribe for similar opportunities before leaving.