ML Engineer: Aviation Fuel Optimization & Production Models

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

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.