AI Data Scientist, Matillion
£68.6-103k
+ Equity
2 days a week in office
AI data automation platform
Be an early applicant
AI data automation platform
201-500 employees
Be an early applicant
£68.6-103k
+ Equity
2 days a week in office
201-500 employees
Company mission
To empower data teams to build and manage pipelines faster for AI and analytics - at scale.
Role
Who you are
- If you're passionate about experimentation, emerging research, and building real-world AI features at scale—this is your opportunity to lead that charge
- Deep AI Knowledge: MSc, PhD, or equivalent experience in ML, NLP, or a related discipline, with strong understanding of LLM internals
- Toolbelt Ready: Proficient in Python and LLM tools like Hugging Face, LangChain, or OpenAI API
- Prompt-Savvy: Comfortable with prompt engineering, model evaluation, and structured analysis of generative systems
- Experimentation First: Experience (or interest) in fine-tuning, instruction tuning, RAG architectures, or guardrail implementation
- Collaborative Communicator: Able to bridge the gap between research and product, working across teams to translate ideas into features
- Curious & Agile: Thrives in fast-paced, changing environments and eager to keep up with the latest advancements in AI and ML
- Preferable - Knowledge of Java and/or Software Development
- 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
What the job involves
- At Matillion, we’re redefining what’s possible in the world of data engineering by embedding cutting-edge AI into every layer of our platform
- Our Data Science team—part of the Product organisation—is dedicated to two vital missions: bringing impactful machine learning capabilities into our products, and learning from real user behaviour to make them even better
- As a Data Scientist, you’ll play a hands-on role in optimising and evolving the AI systems that power the Maia Foundation
- From boosting the accuracy of our natural language interface to enabling AI-driven pipeline creation, your work will directly empower data engineers to process the most complex and unstructured data with ease
- Experiment & Optimise: Run structured evaluations to improve performance, speed, and cost-efficiency of large language models (LLMs)
- Empower Through AI: Enhance our agentic copilot system to more accurately generate data pipelines from natural language inputs
- Advance AI Evaluation: Evolve our testing frameworks to better measure quality, reliability, and usability of generative outputs
- Drive Real Impact: Collaborate with engineering teams to expand the reach of AI features and prepare for AI-to-AI interaction scenarios
- Explore & Innovate: Stay ahead of research trends and propose proof-of-concept ideas that could level up our product
- Mentor & Educate: Share your expertise to raise the collective intelligence of the team and build a world-class AI capability at Matillion
Our take
In order to make the world’s data more useful, Matillion offers a data integration and transformation platform. Essentially, the company turns raw data into an analytics-ready asset to help companies make better decisions. In 2025 it launched Maia, the industry’s first AI data automation platform.
As organisations search for ways to harness data for business intelligence, the market for Matillion’s offerings is expanding, and the company has assumed a forefront position. Its strong reputation has secured large enterprise clients like FOX, Sony, Slack and Cisco.
The company is well-funded and boasts a strong valuation, showing that it has cemented its place in the sector. With Maia, Matillion proves it is able to adapt to the evolving business data landscape, delivering expert AI agents that can handle time-consuming data work and free up teams to focus on delivering business goals faster.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-6% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Sep 2021
$150m
SERIES E
Feb 2021
$100m
SERIES D
Total funding: $311.2m
Company benefits
- A culture that promotes work life balance
- Access to mental health support
- 25 days holiday
- 5 days paid volunteering leave
- Pension
- Career development with monthly hackdays, access to a Udemy account, Blinkist and much more
Company HQ
Salford, UK
Leadership
Ed Thompson
(CTO)Previously acted as an IBM Software Consultant for Real Solutions and as an Integration Team Leader for Imtech ICT.
Matthew Scullion
(CEO & Founder)Previously acted as Software Division Director for Imtech ICT and as Director for Real Solutions.
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