Machine Learning Engineer

Salt; Amsterdam; On-site; EUR 151,536 - 158,424; Full time

Job summary

A leading technology recruitment firm is seeking a Senior Machine Learning Scientist to develop and scale innovative Generative AI applications. This freelance position based in Amsterdam involves designing, training, and evaluating machine learning models, focusing on NLP and computer vision. Candidates should possess advanced degrees along with proven expertise in delivering end-to-end ML solutions. Competitive hourly pay between €110 and €115. The role promotes collaboration among multidisciplinary teams to create impactful ML solutions.

Qualifications

• Proven experience delivering end-to-end ML solutions at scale.
• Experience working with large datasets, experimentation, and production ML systems.
• Strong expertise in Machine Learning with a focus on NLP, CV, and Generative AI.

Responsibilities

• Research, design, train, and evaluate ML and GenAI models.
• Drive experimentation and define success metrics for production systems.
• Build clean, scalable, and reusable ML frameworks.

Skills

Machine Learning

NLP

Computer Vision

Generative AI

Python

Collaboration

Data Analysis

Education

MSc in a quantitative field + 3 years or PhD + 2 years experience

Tools

Spark

SQL

Kafka

Job description

Salt is currently hiring for one of our clients in the Amsterdam area a Machine Learning Specialist.

This role is for freelance(kvk/zzp) and is paying between 110 and 115 euros an hour.

About the Role

We are looking for a Senior Machine Learning Scientist to build and scale customer-facing Generative AI applications. You will work on agentic, ML-powered solutions such as conversational agents and intelligent assistants, applying state-of-the-art techniques in LLMs, recommendation systems, and multimodal ML.

What You’ll Do

• Research, design, train, and evaluate ML and GenAI models (LLMs, NLP, CV)
• Drive experimentation and define success metrics for production systems
• Build clean, scalable, and reusable ML frameworks
• Analyze data and model performance to guide iteration and improvement
• Partner with ML engineers to meet latency, throughput, and deployment requirements
• Collaborate with product managers, data scientists, and other stakeholders to translate business needs into ML solutions

What You Bring

• Strong expertise in Machine Learning, with experience in NLP, CV, and Generative AI
• Proven experience delivering end-to-end ML solutions at scale
• MSc + 3 years or PhD + 2 years of relevant experience in a quantitative field
• Proficiency in Python; experience with Spark, SQL, Kafka, or similar tools is a plus
• Experience working with large datasets, experimentation, and production ML systems
• Excellent communication skills and a collaborative mindset

Nice to Have

• Publications, patents, or open-source contributions
• Experience with agent-based architectures or multimodal models
• Experience mentoring or leading technical initiatives