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Applied Scientist, PXT LEGENDS - Job Opportunity at Amazon Data Services UK Limited

Edinburgh, GB
Full-time
Senior
Posted: March 23, 2025
On-site
GBP 85,000 - 120,000 per year based on Edinburgh market rates for senior ML scientists and Amazon's compensation structure

Benefits

Comprehensive AWS technology stack access
Advanced ML/AI research opportunities
Career development in cutting-edge AI applications
Work on globally impactful projects
Access to Amazon's world-class technical infrastructure

Key Responsibilities

Lead machine learning research and implementation for talent acquisition solutions
Serve as scientific advisor to engineering and product teams
Develop and implement sophisticated ML algorithms at scale
Write scientific research for diverse audiences
Contribute to codebase with 50% time allocated to coding
Design and implement large-scale ML systems for recruitment automation

Requirements

Education

Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field

Experience

Not explicitly stated but senior-level experience implied

Required Skills

Experience programming in Java, C++, Python or related language Experience researching about machine learning, deep learning, NLP, computer vision, data science Experience building machine learning models or developing algorithms for business application Experience implementing algorithms using both toolkits and self-developed code
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Sauge AI Market Intelligence

Industry Trends

AI-driven recruitment is experiencing unprecedented growth with a projected CAGR of 7.6% through 2027, making this role particularly strategic The convergence of ML/AI with HR tech is creating new specialization opportunities in talent analytics and automated assessment Enterprise-scale ML deployment in HR is becoming a critical differentiator for large organizations There's increasing focus on ethical AI and fairness in automated hiring systems

Role Significance

Typically part of a 5-8 person specialized ML research team within larger engineering organization
Senior individual contributor role with significant technical authority and business impact potential

Key Projects

Development of automated candidate assessment systems Large-scale hiring optimization algorithms Fairness and bias detection in recruitment ML models Predictive analytics for workforce planning

Success Factors

Deep expertise in both theoretical ML and practical implementation Ability to balance research innovation with business outcomes Strong communication skills for cross-functional collaboration Experience with large-scale distributed systems Understanding of ethical AI principles and fairness in ML

Market Demand

Very high demand with limited talent pool due to specialized intersection of ML expertise and HR domain knowledge

Important Skills

Critical Skills

Advanced ML/AI expertise with focus on practical implementation Strong software engineering capabilities in Python and distributed systems Experience with fairness and bias in ML systems Research background demonstrated through publications

Beneficial Skills

Knowledge of HR tech and recruitment processes Experience with AWS services and cloud architecture Understanding of organizational psychology Expertise in explainable AI

Unique Aspects

Rare opportunity to work on ML systems affecting millions of hiring decisions
Combination of research freedom with practical impact at massive scale
Access to unique hiring-related datasets and problems
Direct influence on Amazon's global talent acquisition strategy

Career Growth

2-4 years typical progression timeline with significant impact achievements

Potential Next Roles

Principal Applied Scientist Technical Director - ML/AI Chief Scientist Head of AI Research

Company Overview

Amazon Data Services UK Limited

Amazon leads in applying ML/AI to enterprise-scale operations, with significant investment in research and development

Industry leader in both e-commerce and cloud computing, with strong technical innovation culture
Edinburgh office serves as a key technical hub for Amazon's European operations
Fast-paced, innovation-focused environment with emphasis on ownership and impact
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