Machine Learning Engineer

XpertDirect

Amsterdam, NLremote countryPosted Jun 23, 2026

Skills

scikitlearnkubernetestensorflowpytorchpythoncicdnaturallanguageprocessingml

About the role

Machine Learning Engineer

Remote (EU) | Permanent

Help build production AI systems that deliver real-world impact.

We're supporting an innovative European technology company that is expanding its AI engineering team as it scales the next generation of intelligent products and services. They're looking for a Machine Learning Engineer who enjoys taking models beyond experimentation and into robust, production-grade systems used by thousands of users.

This is a hands-on engineering role where you'll work alongside Data Engineers, Software Engineers, and AI specialists to develop, deploy, and optimise machine learning solutions that solve complex business challenges.

What you'll be doing

Designing, building, and deploying machine learning models into production environments

Developing scalable ML pipelines and training workflows

Working with structured and unstructured datasets at scale

Collaborating with Data Engineers to ensure high-quality data availability

Improving model performance, reliability, and monitoring

Contributing to MLOps and automation initiatives

Supporting experimentation, evaluation, and model lifecycle management

Working closely with product and engineering teams to translate business problems into ML solutions

What we're looking for

3+ years of experience building and deploying machine learning solutions

Strong Python development skills

Experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks

Experience deploying models into cloud environments

Solid understanding of statistics, machine learning algorithms, and model evaluation techniques

Experience building production-grade software, not just research prototypes

Familiarity with CI/CD and software engineering best practices

Strong problem-solving and communication skills

Nice to have

Experience with LLMs, Generative AI, or Retrieval-Augmented Generation (RAG)

Experience with Kubernetes and containerised deployments

Knowledge of MLOps tooling and model monitoring platforms

Experience with distributed training and large-scale ML infrastructure

Exposure to recommendation systems, NLP, computer vision, or predictive analytics

Why join?

Fully remote role within Europe

Work on cutting-edge AI and machine learning initiatives

Opportunity to influence architecture and technical direction

Collaborative and highly technical engineering environment

Modern cloud-native technology stack

Competitive salary and benefits package

Long-term growth opportunities in a rapidly scaling organisation

Questions about this role

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