Machine Learning Engineer

Philipsstraat 5a, 3833 LC.; Amersfoort; On-site; EUR 60,000 - 90,000; Full time

Job summary

Company Description is seeking a Machine Learning Engineer to design and deploy ML pipelines that turn raw data into impactful outcomes. You will work with top-tier teams to bring models from concept to production with speed and creativity.

If you have proven experience with Python, TensorFlow, and deployment of models in production environments, you might be the right fit. Join us in redefining how businesses operate through applied AI!

Qualifications

• Proven experience building and deploying machine learning models in production environments.
• Strong skills in Python and ML frameworks.
• Understanding of software engineering best practices.

Responsibilities

• Develop, train, and deploy machine learning models at scale using Python, TensorFlow, and PyTorch.
• Collaborate with data engineers to ensure robust feature pipelines and reliable datasets.
• Monitor models in production, retraining and improving accuracy over time.

Skills

Python

TensorFlow

PyTorch

Pandas

Spark

Job description

Company description

Are you a builder of intelligence who thrives at the intersection of data, experimentation, and innovation — where algorithms evolve into real-world impact?

We’re partnering with a global technology leader pushing the boundaries of applied AI - from predictive analytics and automation to intelligent decision systems that redefine how businesses operate.

Searching for a Machine Learning Engineer who combines engineering precision with scientific curiosity - someone who can architect models that don’t just work, but learn, adapt, and create value at scale.

Your Role

You’ll be the engine behind intelligent systems - designing, building, and deploying ML pipelines that turn raw data into real outcomes. Working alongside top-tier data scientists, engineers, and domain experts, you’ll bring models from concept to production with speed, rigour, and creativity.

What You’ll Do:

Develop, train, and deploy machine learning models at scale using Python, TensorFlow, and PyTorch.

Collaborate with data engineers to ensure robust feature pipelines and clean, reliable datasets.

Key Responsibilities

- Develop, train, and deploy machine learning models at scale using Python, TensorFlow, and PyTorch.

- Collaborate with data engineers to ensure robust feature pipelines and clean, reliable datasets.

- Optimise model performance, interpretability, and fairness across diverse applications.

- Implement CI/CD for ML models, integrating with modern MLOps frameworks.

- Continuously monitor models in production, retraining and improving accuracy over time.

Required Skills & Experience

Proven experience building and deploying machine learning models in production environments.
Strong skills in Python, ML frameworks (TensorFlow/PyTorch), and data processing (Pandas, Spark).
Understanding of software engineering best practices - testing, versioning, and CI/CD.