Machine Learning Solutions Engineer

Understanding Recruitment; Greater London; Remote; GBP 150,000 - 200,000; Full time

Job summary

A tech-driven company is looking for a Remote Machine Learning Solutions Engineer to design and deploy AI systems that automate customer workflows. The ideal candidate will have strong Python and Machine Learning Engineering experience, understand deployment technologies like Kubernetes, and be adept at problem-solving. This role allows for significant ownership and direct collaboration with clients, making a real impact in a flexible, remote-first environment.

Benefits

Flexible hours

Competitive pay and equity

Annual budgets for professional growth

3 off-sites per year

Qualifications

• Strong experience in Python and Machine Learning Engineering.
• Curiosity for agentic AI and automation systems.
• Understanding of deployment including Kubernetes, CI/CD, MLOps.
• Problem-solver who enjoys working directly with customers.
• Collaborative, proactive, excited by startup pace.

Responsibilities

• Design and deliver Virtual Agents that automate customer processes.
• Build scalable, production-ready AI solutions.
• Collaborate directly with customers to drive adoption.
• Contribute to Unitary’s ML platform and community.

Skills

Python

Machine Learning Engineering

agentic AI

automation systems

Kubernetes

CI/CD

MLOps

Job description

Machine Learning Solutions Engineer

🌍 Remote (±3h UK time) | 💰 Competitive salary + equity

📈 Backed by Creandum & Plural ($25M+ raised)

About Unitary

Unitary builds AI systems that combinehuman expertise and intelligent automationto handle complex real-world tasks — from trust & safety to marketplace operations.

We already analysemillions of images and videos daily, helping businesses scale safely and efficiently. Our mission: create an internet free from harm, where AI makessafe, fair, and transparentdecisions.

The Role

We’re hiring aMachine Learning Solutions Engineerto design, build, and deploy AI systems that automate customer workflows.

You’ll work end-to-end — understanding client challenges, creating “Virtual Agents” that combine ML and software, and scaling these capabilities across our platform. It’s a hands‑on, product‑facing role with real ownership and impact.

What You’ll Do

• Design and deliverVirtual Agentsthat automate customer processes
• Build scalable, production‑ready AI solutions across the stack (ML, MLOps, DevOps)
• Collaborate directly with customers and internal teams to drive adoption
• Contribute to Unitary’s ML platform and community, shaping our future technology

What We’re Looking For

• StrongPythonandMachine Learning Engineeringexperience
• Curiosity foragentic AIand automation systems
• Understanding of deployment (e.g. Kubernetes, CI/CD, MLOps)
• Problem-solver who enjoys working directly with customers
• Collaborative, proactive, and excited by startup pace

(Bonus: prior startup or remote-team experience, LLM familiarity, or infrastructure knowledge such as Terraform or Argo CD.)

Why Unitary

• Remote‑first team (~20 people across Europe & North America)
• Flexible hours, competitive pay, equity, and generous leave
• Annual budgets for professional growth and well‑being
• 3 off‑sites per year in London or European destinations