Machine Learning Engineer jobs in United States

Summary
• Based at Manchester Airport
• Permanent Role
• Flexible/Hybrid working for a better work/life balance.
• We are proud to be a diverse employer, and we welcome candidates from all backgrounds.

Why MAG?

At MAG we provide the airport facilities and travel services that people need to connect with the world. As the largest UK-owned airport operator, we serve over 60 million passengers a year from Manchester, London Stansted, and East Midlands Airports. With over 270 destinations across the globe, our businesses not only bring people together but also support the prosperity of the regions in which we operate.
Sustainability is one of our core values, and it shapes everything we do. We're committed to protecting the environment and supporting our local communities. Our programmes include airport and airline decarbonisation, comprehensive education, skills and employment support, and community engagement initiatives including volunteering opportunities.
At MAG, we recognise creating a first-class journey for our customers starts by creating a first-class career journey for our colleagues, and we are committed to building inclusive environments in which our people can thrive.

You'll also have access to some great benefits including:
• Bonus Scheme
• 10% company contribution pension
• 25 days holiday plus bank holidays
• Free parking
• Subsidised public transport
• Huge range of company discounts
• Free Virtual GP service, available 24/7
• Care Concierge service

The Role

As a Senior Data Scientist in our DASA team, you'll be driving MAG's mission to become a truly data-driven business. You'll play a key role in designing and deploying advanced AI and machine learning models that help optimise operations, increase efficiency, and deliver smarter insights to inform key decisions across the business.
You'll tackle projects such as forecasting passenger spend, optimising driver routes and the use of car park space, and using AI to monitor alternative data channels like CCTV and social media. You'll also support junior team members, contribute to the growth of our internal data science capability, and ensure that our analytical outputs are both actionable and aligned with our strategic goals.

What will make you successful in the role?

You'll be a seasoned data scientist with experience working with large, complex data sets, as well as architecting and deploying ML models into production. You'll be fluent in Python - writing readable, testable, and maintainable code comes naturally to you. You'll be comfortable with cloud-based tools like AWS SageMaker and Lambda, and you'll know your way around Git, SQL, and common Python data science libraries (like pandas/polars, scikit-learn, xgboost/lightGBM, and TensorFlow/PyTorch). Bonus points if you've worked with linear programming, or have experience in time series forecasting, agent-based modelling, and space allocation optimisation.
You'll have a proven ability to work with cross-functional teams and communicate complex insights clearly to a wide audience. Your strong business acumen and curiosity will help you ask the right questions, explore the data deeply, and uncover valuable opportunities.

Equal Opportunities & Reasonable Adjustments

At MAG we believe in the importance of diversity & inclusion for all. We are committed to creating a workforce that is reflective of our society. As such we welcome applications from candidates from all backgrounds.
We're also committed to well-being with a focus on mental health and supporting colleagues from underrepresented groups through our Colleague Resource Groups.
As a Disability Confident employer, we are committed to creating an environment where candidates and employees can perform at their optimum. Please let us know if we can provide you with any reasonable adjustments to aid your application or interview process.
You can contact the team by emailing HR.Recruitment@MAGAirports.com
Our Colleague Resource Groups include: Women's Network, Embrace - Race & Ethnicity Group, Fly With Pride (LGBTQIA+), Mental Health, Parent & Carers, Disabilities including neurodiversity.