Machine Learning Engineer – Cost Index Optimization

Jeppesen ForeFlight; Odense; On-site; DKK 950,000 - 1,250,000; Full time

Benefits offered by this job

Health insurance

Pension plan

Paid vacation with Christmas time off

Health and wellness allowance

Employee assistance program

Volunteer days

Employee referral program

Flight rewards

Flight stipend

Job summary

Jeppesen ForeFlight in Odense, Denmark is hiring a Machine Learning Engineer to design, train, and productionize next-generation Cost Index Optimization models that improve fuel efficiency. You’ll work with a global team, ship models offline on EFB devices, and monitor drift in real-world flight data.

The role emphasizes strong ML execution, Python tooling, and collaboration with aviation experts; aviation interest is a plus but not required.

Qualifications

• Strong applied ML experience — you’ve trained, validated, and shipped models to production, not just prototyped them.
• Solid Python and ML tooling (PyTorch/TensorFlow, experiment tracking, model serving).
• Experience with time-series or sensor data, and comfort with noisy real-world datasets.
• Enough physics intuition to sanity-check model outputs against how aircraft actually behave.
• Interest in aviation is a plus; domain expertise is not required.

Responsibilities

• Design neural network architectures for tail-specific performance modeling
• Build the training pipeline — data preparation, feature engineering, hyperparameter optimization, retraining
• Define and automate validation against real-world flight data and accuracy targets
• Work with aircraft performance specialists to blend physics-based and learned models, keeping outputs physics-bounded
• Package trained models into compact, fast artifacts that run offline on EFB devices in the flight deck
• Take models to production, with monitoring for drift and data quality

Skills

Strong applied ML experience

Python and ML tooling

Time-series / sensor data

Physics intuition

Aviation interest

Tools

PyTorch

TensorFlow

Experiment tracking

Model serving

Job description

Engineering | Odense, Denmark | Full-Time

Jeppesen ForeFlight builds software that airlines and pilots around the world rely on every day. From our Odense office, you’ll join an international engineering organization where your work has a direct, measurable impact on airline fuel efficiency and emissions.

Train models that save fuel on every flight

We’re hiring a Machine Learning Engineer for a new team building our next-generation Cost Index Optimization (CIO) product. You’ll design and train the neural network models that produce tail-specific performance profiles from recorded flight data, and build the training and validation pipeline that keeps them accurate as fleets and data grow.

What You’ll Do

• Design neural network architectures for tail-specific performance modeling
• Build the training pipeline — data preparation, feature engineering, hyperparameter optimization, retraining
• Define and automate validation against real-world flight data and accuracy targets
• Work with aircraft performance specialists to blend physics-based and learned models, keeping outputs physics-bounded
• Package trained models into compact, fast artifacts that run offline on EFB devices in the flight deck
• Take models to production, with monitoring for drift and data quality

What We’re Looking For

• Strong applied ML experience — you’ve trained, validated, and shipped models to production, not just prototyped them
• Solid Python and ML tooling (PyTorch/TensorFlow, experiment tracking, model serving)
• Experience with time-series or sensor data, and comfort with noisy real-world datasets
• Enough physics intuition to sanity-check model outputs against how aircraft actually behave
• Interest in aviation is a plus; domain expertise is not required

Why Join Jeppesen ForeFlight?

We believe a rewarding career is built on meaningful challenges, a supportive environment, and great colleagues. At Jeppesen ForeFlight, we empower our employees to make a direct impact on our products and services while supporting their overall wellbeing.

Our benefits package includes comprehensive health insurance, a pension plan, generous paid vacation plus additional time off during Christmas, a health and wellness allowance, an employee assistance program, two paid volunteer days annually, an employee referral program, and flight rewards and a flight stipend.