ML Engineer: AI Apps, LLMs & Production Systems

Aristocrat Leisure

Spain

21 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience required

5 years minimum

Compensation

€60,000.0 - €90,000.0

Working hours

Regular working hours

Job source

www.jobleads.com

Tech stack

Machine Learning Large Language Models Streamlit Framework

Requirements

You will collaborate with product and data teams, build user-friendly ML interfaces (Streamlit), monitor models, and explore LLMs, RAG, and agentic AI to drive innovation. A degree in a technical field and 5+ years of ML experience are expected.

About the company

Aristocrat, a world leader in gaming content and technology, is seeking an ambitious ML/AI Engineer to join our team in Spain. You will deploy models, refine data pipelines, and contribute to AI initiatives to enhance player experiences.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.jobleads.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

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3:26 min

Introducing LLMs as judges for automated testing

Sebastian Messingfeld

Sebastian Messingfeld · WWC Europe 2026

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

3:32 min

Fundamentals and limitations of large language models

Krzystof Czieslak · LIVE

1:57 min

Evolution of machine learning algorithms and computing hardware

Alexandra Waldherr · LIVE

2:25 min

Understanding the evolution and nature of large language models

Krzysztof Cieślak

Krzysztof Cieślak · WWC 2024

2:08 min

Applying large language models to infrastructure tasks

Alfonso Sandoval Rosas

Alfonso Sandoval Rosas · Europe 2026 Virtual

Videos

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LIVE • over 4 years ago

Introduction to Azure Machine Learning

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Creating Industry ready solutions with LLM Models thumbnail

LIVE • about 2 years ago

Creating Industry ready solutions with LLM Models

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Three years of putting LLMs into Software - Lessons learned thumbnail

WWC 2025 • 12 months ago

Three years of putting LLMs into Software - Lessons learned

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Building Blocks of RAG: From Understanding to Implementation thumbnail

LIVE • over 1 year ago

Building Blocks of RAG: From Understanding to Implementation

Ashish Sharma

Give Your LLMs a Left Brain thumbnail

WWC 2024 • almost 2 years ago

Give Your LLMs a Left Brain

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WWC 2024 • almost 2 years ago

Bringing the power of AI to your application.

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