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Deep Learning Engineer (Applied Research) - Job Opportunity at Revolut

London, United Kingdom
Full-time
Senior
Posted: April 14, 2025
Hybrid
EUR 75,600-111,600 per year

Benefits

Great Place to Work™ certified environment
Global exposure working with 50M+ customers
Cutting-edge AI technology stack
Remote work flexibility
International team environment

Key Responsibilities

Lead design and development of proprietary LLM systems from architecture through deployment
Develop comprehensive interface and orchestration frameworks for LLM integration
Create intelligent agentic frameworks for task execution and reasoning
Conduct applied NLP and LLM research to advance model capabilities

Requirements

Education

Bachelor's degree in STEM field

Experience

Not explicitly stated but senior-level experience implied

Required Skills

Experience in training, fine-tuning, and deploying large language models Solid background in machine learning, deep learning, and natural language processing Proficiency in Python and deep learning frameworks Deep understanding of probability and statistics fundamentals Big-picture thinking Applied research mindset
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Sauge AI Market Intelligence

Industry Trends

The fintech sector is experiencing rapid integration of GenAI capabilities, particularly in customer service and process automation Large language models are becoming critical differentiators in financial services, enabling personalized user experiences and automated decision-making There's an increasing focus on proprietary LLM development rather than sole reliance on third-party models

Salary Evaluation

The offered salary range is competitive for the European market but slightly below similar roles in major tech hubs. For London specifically, expect potential total compensation including equity to reach £120,000-£160,000 annually

Role Significance

Based on the scope, likely part of a specialized AI team of 5-10 engineers with collaboration across product and platform teams
This is a senior technical position with significant architectural and research responsibilities, likely reporting to the AI/ML department head

Key Projects

Development of proprietary LLM systems for financial services Creation of intelligent automation frameworks Research and implementation of cutting-edge NLP solutions Integration of GenAI capabilities into financial products

Success Factors

Ability to bridge research and practical implementation Strong understanding of both technical and business requirements in fintech Experience with large-scale deployment and optimization Collaborative approach to cross-functional development

Market Demand

Extremely high demand with severe talent shortage, particularly for candidates with both LLM expertise and financial sector understanding

Important Skills

Critical Skills

LLM expertise is fundamental as the role focuses on developing proprietary models Python and deep learning framework proficiency is essential for implementation Research capabilities are crucial for staying ahead of rapid AI developments

Beneficial Skills

Understanding of financial services domain Experience with distributed systems Knowledge of multiple programming languages Familiarity with regulatory requirements in AI deployment

Unique Aspects

Opportunity to develop proprietary LLM systems rather than just implementing existing solutions
Direct impact on financial services innovation through AI
Combination of research and practical implementation in a high-growth environment

Career Growth

2-3 years in role before advancement, depending on project success and team growth

Potential Next Roles

AI/ML Technical Lead Principal Machine Learning Engineer Head of AI Research Chief AI Officer

Company Overview

Revolut

Revolut is a leading fintech company with over 50 million customers, known for innovative financial products and rapid technology adoption

Top-tier fintech player with unicorn status and significant market presence in Europe and expanding globally
Strong European base with growing international operations, particularly in UK and EU markets
Fast-paced, innovation-focused environment with emphasis on technical excellence and rapid iteration
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