AI Engineer/Data Scientist
EPAM Systems
- London, England, United Kingdom
- London, England, United Kingdom
About
AI Engineer/Data Scientist
role at
EPAM Systems
Are you passionate about Natural Language Processing and Generative AI? Do you enjoy collaborating with both technical and business teams to turn innovative ideas into impactful solutions? Can you communicate complex concepts clearly and drive research that delivers real business value? If so, we have an exciting opportunity for an
AI Engineer/Data Scientist
to join EPAM’s AI Consulting team, focusing on cutting-edge R&D in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and domain-specific GenAI applications.
If you’re ready to push the boundaries of NLP and GenAI and want to make a tangible impact, we’d love to hear from you!
Responsibilities
Design, implement and maintain scalable NLP and GenAI pipelines including data processing, preprocessing and evaluation
Conduct advanced data analysis on real-world datasets to extract actionable insights and support decision-making
Stay current with the latest research in LLMs and NLP, proposing new ideas and methodologies to unlock business value
Develop and optimize RAG systems and retrieval pipelines including chunking, embedding, re-ranking and evaluation
Lead and contribute to experiments by designing experimental details, writing reusable code, running evaluations and organizing results
Collaborate with cross-functional teams to prioritize research that directly benefits key internal use cases and products
Work closely with stakeholders, project managers and architects to gather requirements, plan project scopes and deliver projects on time
Requirements
MSc with 5+ years of experience or Ph.D. in computer science, electrical engineering or a related technical field
Deep understanding of NLP, LLMs, transformer architectures, prompt engineering, RAG and evaluation methodologies
Hands‑on experience building and evaluating RAG and GenAI systems in production‑like environments
Experience training, fine‑tuning or experimenting with foundation models
Track record of contributions to publications or open‑source projects
Excellent communication skills and a collaborative mindset
Experience mentoring or collaborating with other researchers
Strong interest in cross‑disciplinary collaboration to support impactful research
Ability to work effectively across teams and deliver projects within agreed timelines
We offer
EPAM Employee Stock Purchase Plan (ESPP)
Protection benefits including life assurance, income protection and critical illness cover
Private medical insurance and dental care
Employee Assistance Program
Cyclescheme, Techscheme and season ticket loans
Various perks such as free Wednesday lunch in‑office, on‑site massages and regular social events
Learning and development opportunities including in‑house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
If otherwise eligible, participation in the discretionary annual bonus program
If otherwise eligible and hired into a qualifying level, participation in the discretionary Long‑Term Incentive (LTI) Program
*All benefits and perks are subject to certain eligibility requirements
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Business Development, Information Technology, and Engineering
Software Development and IT Services and IT Consulting
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Languages
- English
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