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Senior & Staff Machine Learning Scientist

4 weeks ago


Dublin, Dublin City, Ireland Oxford Knight Full time

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Senior & Staff Machine Learning Scientist, Dublin
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Client:
Oxford Knight
Location:
Dublin, Ireland
Job Category:
Other
-
EU work permit required:
Yes
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Job Reference:
ab841c065045
Job Views:
4
Posted:
30.06.2025
Expiry Date:
14.08.2025
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Job Description:
My client, an AI software firm building a complete, AI-driven customer service platform, is looking to hire exceptional engineers to join their Machine Learning team in Dublin, Ireland.
This team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes into customers' hands.
An extremely product-focused team, they work in partnership with Product & Design functions of teams they support.
The team's dedicated ML product engineers enable them to move to production fast, often shipping to beta in weeks after a successful offline test.
They are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks.
They test and measure the real customer impact of each model deployed.
What will you be doing?
Identify areas where ML can create value for customers
Identify the right ML framing of product problems Working with teammates and Product & Design stakeholders
Conduct exploratory data analysis and research Deeply understand the problem area
Research and identify the right algorithms and tools Being pragmatic, but innovating right to the cutting edge when needed
Perform offline evaluation to gather evidence an algorithm will work
Work with engineers to bring prototypes to production
Plan, measure & socialize learnings to inform iteration
Partner deeply with the rest of team, and others, to build excellent ML products
What skills might you need?
These are meant to be indicative, not hard requirements.
Broad applied machine learning knowledge
Senior – 5+ years' applied ML experience
Staff – 7+ years' applied ML experience
Practical stats knowledge (experiment design, dealing with confounding, etc.)
Strong communication skills, both within engineering teams and across disciplines
Comfort with ambiguity
Typically have advanced education in ML or related field (e.g.
MSc)
Scientific thinking skills
Track record shipping ML products
PhD or other experience in a research environment
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
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