AI Engineer, Matillion
Emerging Technologies
£71.5-107.3k
+ Company Equity
More information about location
2 days a week in office
Data transformation software
Be an early applicant
Data transformation software
201-500 employees
Be an early applicant
£71.5-107.3k
+ Company Equity
More information about location
2 days a week in office
201-500 employees
Company mission
To make the world's data useful.
Role
Who you are
- If you're driven by impact, innovation, and the chance to work at the frontier of AI in a product-led organisation, this is the opportunity for you
- Deep AI Expertise: Proven experience working with large language / foundation models, including training, tuning, and applying modern GenAI techniques such as reinforcement learning, memory and context systems, retrieval augmentation, structured knowledge integration, optimisation, and evaluation
- Academic Rigor: Master’s degree in a relevant field required; PhD preferred
- Programming Ability: Strong coding skills are required; Java is highly desirable as our core codebase
- Product Delivery Experience: Track record of delivering software features or products in a collaborative environment, ideally within a product-led organisation
- Curiosity & Drive: Passion for emerging AI technologies, with the ability to critically evaluate new research and translate it into practice
- Collaborative Mindset: Comfortable working cross-functionally to move from prototypes to production-ready features
What the job involves
- At Matillion, we’re on a mission to eliminate friction in data engineering and supercharge productivity through the power of AI
- As part of the Product organisation, our Data Science team is laser-focused on two things: pioneering how artificial intelligence and machine learning are woven into our products, and understanding how our customers use those products to drive continuous innovation
- This AI Engineer – Emerging Technology role sits at the heart of that mission
- You’ll be hands-on in developing, optimising, and experimenting with advanced models—helping to shape how Maia and our AI systems evolve end-to-end
- From reinforcement learning to context and memory, from structured knowledge to performance optimisation, you’ll explore new approaches and translate them into product-ready features that deliver real value to our users
- Train, fine-tune, and evaluate large-language / foundation models, while also applying parameter-efficient techniques, reinforcement learning, and prompt engineering approaches
- Build and enhance memory and context management systems: manage short- and long-term context, embeddings, and retrieval pipelines so Maia can access relevant information effectively
- Integrate structured knowledge sources such as knowledge graphs and ontologies to improve consistency, reasoning, and reduce hallucinations
- Develop capabilities for ingesting and processing multiple unstructured and multi-format data types (text, audio, etc.), designing pipelines for parsing, embedding, indexing, and retrieval
- Optimise inference and system performance: reduce latency, increase throughput, design efficient prompt pipelines, and engineer for cost-effective scaling
- Define and implement monitoring and evaluation frameworks: track metrics such as accuracy, drift, error rates, and user satisfaction; set up feedback loops to ensure robustness and reliability
- Collaborate with engineers, product managers, and UX teams to turn experimental techniques into stable, scalable features that deliver measurable value
- Stay hands-on: write code, prototype solutions, and contribute directly to implementation (with some work in Java where relevant)
Our take
In order to make the world’s data more useful, Matillion offers a simple cloud-native data integration and transformation platform. The company turns raw data into an analytics-ready asset to help companies make better decisions.
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. Strong reputation for its services has engendered hundreds of large enterprises using Matillion’s solutions including FOX, Sony, Slack and Cisco
2022 VC funding from Snowflake and Databricks - contributing to the company’s valuation of over $1.5 billion - will continue to be used to help teams optimise the impact of their data by cementing more partnerships and developing new products, such as the recent Data Productivity Cloud. Matillion will also adopt the cutting edge Snowflake Native Application Framework for its processes.
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: $311.9m
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)Previously acted as Software Division Director for Imtech ICT and as Director for Real Solutions.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 8 more jobs at Matillion