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Matillion

ML Ops Engineer

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Hybrid
Manchester, Greater Manchester, England
Hybrid
Manchester, Greater Manchester, England

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Matillion is The Data Productivity Cloud.

We are on a mission to power the data productivity of our customers and the world, by helping teams get data business ready, faster. Our technology allows customers to load, transform, sync and orchestrate their data. 

We are looking for passionate, high-integrity individuals to help us scale up our growing business. Together, we can make a dent in the universe bigger than ourselves.

About the Role

At Matillion, we're on a mission to make data engineering radically more productive. Our Data Science team, part of the Product organisation, is dedicated to two core goals: integrating artificial intelligence and machine learning into our products to benefit customers, and learning from how our users interact with those products to drive continuous innovation.

As an ML Ops Engineer, you’ll play a critical role in ensuring that our machine learning features aren’t just smart—they’re scalable, efficient, and robust in production. You’ll help drive the performance of our natural language interface within the Data Productivity Cloud, and enable our AI-powered pipeline features to shine. This is a growth-focused role perfect for someone with a solid technical foundation and a hunger to dive deep into the evolving world of Generative AI, MLOps, and cloud infrastructure.

We value in-person collaboration here at Matillion, therefore this role will follow our hybrid work structure where employees work 2 days a week in the Manchester office.

What you will be doing

  • Bridge Dev and AI: Build and scale reliable ML workflows that power features like our natural language interface and AI-enhanced pipelines.
  • Make AI Production-Ready: Deploy and maintain generative AI systems in real-world environments, ensuring they’re fast, secure, and scalable.
  • Automate and Optimize: Streamline AI development with tools like CI/CD, containerization, and orchestration frameworks.
  • Collaborate Cross-Functionally: Work closely with data scientists, engineers, and product teams to align research and production goals.
  • Tune for Performance: Monitor, measure, and improve the accuracy and speed of AI models in live environments.
  • Grow with the Tech: Evolve your skills in agentic AI frameworks (like LangChain), AWS, data governance, and more over your first 12 months.

What we are looking for

  • Solid Technical Foundation: Experience with Python, ML workflows, cloud platforms (especially AWS), and data engineering tools.
  • AI-Curious: Some exposure to Generative AI, agentic systems, and a drive to deepen your knowledge quickly.
  • Ops-Minded: Familiar with CI/CD, containerization, and deploying ML models in production environments.
  • Adaptable Learner: Thrives in fast-paced environments and is excited to grow with a rapidly evolving tech landscape.
  • Collaborative Communicator: Comfortable translating between data science, engineering, and product to align on outcomes.
  • Problem Solver: Proactive in diagnosing issues and optimising systems—never afraid to experiment and pivot when needed.

At Matillion, we don’t just build AI—we make it work for people. If you’re passionate about operationalising cutting-edge machine learning and want to grow fast in a high-impact role, we’d love to hear from you.

At Matillion, we are committed to providing competitive salaries in line with market standards. Our estimated compensation range for this position is £52,800 - £79,200, but the final salary will be based on your relevant skills, experience and qualifications demonstrated in the hiring process.

Matillion has fostered a culture that is collaborative, fast-paced, ambitious, and transparent, and an environment where people genuinely care about their colleagues and communities. 

Our 6 core values guide how we work together and with our customers and partners. We operate a truly flexible and hybrid working culture that promotes work-life balance, and are proud to be able to offer the following benefits:

- Company Equity
- 30 days holiday + bank holidays
- 5 days paid volunteering leave
- Health insurance
- Life Insurance
- Pension
- Access to mental health support

More about Matillion
Thousands of enterprises including Cisco, DocuSign, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. 

With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of our customers and the world.

We are passionate about doing things in a smart, considerate way. We’re honoured to be named a great place to work for several years running by multiple industry research firms. 

We are dual headquartered in Manchester, UK and Denver, Colorado.

We are keen to hear from prospective Matillioners, so even if you don’t feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you are interested in Matillion but don't see a suitable role, please email talent@matillion.com.

Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

Matillion Manchester, England Office

Stanley Street, Manchester, United Kingdom, M3 5GS

What you need to know about the Manchester Tech Scene

Home to a £5 billion digital ecosystem, including MediaCity, which consists of major players like the BBC, ITV and Ericsson, Manchester is one of the U.K.'s top digital tech hubs, at the forefront of advancements in film, television and emerging sectors like as e-sports, while also fostering a community of professionals dedicated to pushing creative and technological boundaries.
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