Machine Learning Scientist III (AI)

TL;DR

Machine Learning Scientist (AI): Developing and optimizing ranking models with state-of-the-art machine learning techniques for property images and reviews, and generating relevant content, with an accent on dataset creation, feature engineering, and model deployment. Focus on applying advanced ML and GenAI to production systems, integrating LLMs, and collaborating with engineering teams to impact business results.

Location: Must be based in the United Kingdom, specifically London, with a flexible work model that includes office presence.

Company

hirify.global brands power global travel for everyone, everywhere, designing cutting-edge tech to make travel smoother and more memorable, and creating groundbreaking solutions for partners.

What you will do

• Work with product management to understand business problems, identify machine learning opportunities, and scope solutions.
• Conduct exploratory data analysis, formulate machine learning problems, and build effective and scalable ML models.
• Partner with data and software engineering teams to deliver solutions into production.
• Develop a deep understanding of data and ML infrastructure.
• Stay current with advances in ML and GenAI to drive innovation within the team.
• Present ideas and results to product management, stakeholders, and leadership teams.

Requirements

• Master’s degree (Ph.D. preferred) in Computer Science, Statistics, Mathematics, Engineering, or a related technical field.
• 3+ years of hands-on experience applying machine learning in production, including dataset creation, feature selection and engineering, model development and optimization, and production deployment.
• Expertise with Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL-like query languages.
• Strong foundation in Machine Learning fundamentals, statistics, and experimentation.
• Real-world experience working with large data sets in a distributed computing environment such as Spark.
• Experience with Large Language Models (LLMs), including fine-tuning, efficient deployment, and architectures.

Nice to have

• Experience working with data analytics platforms such as Databricks.
• Hands-on experience using workflow orchestration tools (e.g., Airflow, Flyte) to build, schedule, and maintain reliable data and ML pipelines.

Culture & Benefits

• Full benefits package, including exciting travel perks, generous time-off, and parental leave.
• Flexible work model and career development resources.
• Open culture where everyone belongs and differences are celebrated.
• Named as a Best Place to Work on Glassdoor in 2024.
• Recognized for award-winning culture by organizations like Forbes, TIME, and Disability:IN.