AI & Data Science Engineer – KTP Associate

AI & Data Science Engineer – KTP Associate Artificial Intelligence, AI, Data Science, Generative AI, Data Mining, Machine Learning
Location: Hybrid – minimum 2 days per week at either of the following company sites: Electronic Arts Limited, EA Studios, Stoneythorpe, Southam, CV47 2DL. Or in central Birmingham, Alpha Tower, Suffolk St Queensway, Birmingham B1 1TT
Generative AI is impacting every aspect of game creation within EA and the gaming industry overall. This KTP will ultimately improve game development cycle-time, enabling more iterations in the game creation lifecycle that will both improve game quality and allow delivery of more features.
This KTP is a great opportunity for someone who wishes to plan and deliver business change. You will work with senior University academics on a commercial project which puts theory and modelling into practice.
Candidate Profile: Minimum Masters’ level degree in Artificial Intelligence (AI) with relevant practical / work experience in the field. A PhD would be desirable.
Skills and Experience Robust knowledge and demonstrable project experience in machine learning, and Generative AI / Large Language Models (LLMs)
Detailed knowledge of the SDLC and models for measuring a software development team’s performance and quality
Natural Language Processing
Good communication skills at all levels including the ability to train staff and work with diverse user groups
Ability to problem solve
Experience in a research or commercial environment in a similar sector or application domain.
Experience of software development and overall understanding of the gaming industry.
Experience of performing research in measuring and/or optimising the software development process in an industrial setting.
Automated annotation of data assets
AI-enabled data classification and profiling
Training LLMs, such as GPT-4 and Llama 2
Productivity assessment and optimisation in game development
Project management
Producing academic publications of the highest standards
Technical writing and reporting
Main responsibilities Elicit developers’ skills, requirements and preferences to build productivity scores requiring good communication and interpersonal skills.
Ensure data is appropriately analysed, semantically annotated, and classified.
Data mining to identify correlations between data features and productivity score.
Managing ‘hallucination’ responses from the LLM and developing a fully trialled near zero-hallucination end-to-end Smart Productivity Optimisation Platform (SPOP).
Conduct user-centric testing to incorporate user feedback into the SPOP.
Integrate the developed SPOP into EA’s UI and business pathways for rollout.
This Knowledge Transfer Partnership (KTP) project will harness Data Mining, Multi-modal Data Analytics, Machine Learning, and bespoke Generative-AI tools with the aim of automating the process of optimising developer productivity in game software development at Electronic Arts Limited.
About the business Electronic Arts (EA) was a pioneer of the early home computer game industry and is now a global leader in digital interactive entertainment. EA develops and delivers games, content and online services for internet-connected consoles/mobile devices/personal computers and its cutting-edge games are enjoyed by nearly 600 million players worldwide.

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