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ML Ops Engineer

Matillion is The Data Productivity Cloud, helping teams get data business ready faster through data loading, transformation, sync and orchestration.
Manchester, UK
$52,800 - $79,200
Machine Learning
Mid-Level Software Engineer
Hybrid
1,000 - 5,000 Employees
3+ years of experience
AI · Enterprise SaaS

Description For ML Ops Engineer

Matillion, The Data Productivity Cloud, is seeking an ML Ops Engineer to join their Data Science team in Manchester. This role is crucial in bridging the gap between AI development and production deployment, focusing on making machine learning features scalable and robust. The position offers a competitive salary range of £52,800 - £79,200 and follows a hybrid work model requiring 2 days per week in the Manchester office.

The role involves building and maintaining AI systems that power natural language interfaces and AI-enhanced pipelines within Matillion's Data Productivity Cloud. Key responsibilities include deploying generative AI systems, streamlining development processes through CI/CD and containerization, and ensuring optimal performance of AI models in production environments.

Ideal candidates should have a strong technical foundation in Python, ML workflows, and AWS, along with experience in CI/CD and containerization. The position requires someone who can effectively collaborate across teams, communicate complex technical concepts, and adapt quickly to evolving technologies.

Matillion offers an attractive benefits package including company equity, generous holiday allowance, health insurance, and mental health support. The company has raised over $300M from top Silicon Valley investors and maintains a culture focused on collaboration, ambition, and transparency. With dual headquarters in Manchester, UK and Denver, Colorado, Matillion serves thousands of enterprises including Cisco, DocuSign, and Slack.

This role presents an excellent opportunity for someone passionate about operationalizing cutting-edge machine learning and looking to grow in a fast-paced, high-impact environment. The company's commitment to diversity and inclusion, coupled with its recognition as a great workplace, makes it an attractive destination for talented professionals in the AI and machine learning space.

Last updated a day ago

Responsibilities For ML Ops Engineer

  • Build and scale reliable ML workflows for natural language interface and AI-enhanced pipelines
  • Deploy and maintain generative AI systems in production environments
  • Streamline AI development with CI/CD, containerization, and orchestration frameworks
  • Collaborate with data scientists, engineers, and product teams
  • Monitor, measure, and improve AI models accuracy and speed in live environments
  • Evolve skills in agentic AI frameworks and AWS

Requirements For ML Ops Engineer

Python
  • Experience with Python, ML workflows, cloud platforms (especially AWS), and data engineering tools
  • Some exposure to Generative AI and agentic systems
  • Familiar with CI/CD, containerization, and deploying ML models in production
  • Ability to thrive in fast-paced environments
  • Strong communication skills
  • Problem-solving capabilities

Benefits For ML Ops Engineer

Equity
Medical Insurance
Mental Health Assistance
Vision Insurance
Dental Insurance
  • Company Equity
  • 30 days holiday + bank holidays
  • 5 days paid volunteering leave
  • Health insurance
  • Life Insurance
  • Pension
  • Access to mental health support

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