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An established industry player is seeking a passionate ML Ops Engineer to join their innovative Data Science team. This role focuses on enhancing data engineering productivity through scalable and efficient machine learning solutions. You will collaborate with cross-functional teams to build reliable ML workflows, automate AI development processes, and ensure the performance of AI models in real-world environments. If you're eager to dive into the evolving landscape of Generative AI and cloud infrastructure while contributing to impactful projects, this opportunity is perfect for you. Join a collaborative and ambitious team dedicated to operationalizing cutting-edge technology.
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.
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.
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.
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.