Remote Machine Learning Engineer

1 week ago


Stockport, Stockport, United Kingdom Aerocloudsystems Full time
AeroCloud creates modular and scalable intelligent airport management software built on leading-edge technology. Our cloud-native platform uses predictive artificial intelligence and machine learning.

AeroCloud's Intelligent Airport Management System (iAMS) and Flight Management System reduce manual inputs and centralise data, making it available to all members of airport stakeholder groups.

Inspection, Lease and Asset Management systems support on-site logistical planning.

In addition, Common-Use Passenger Processing and Self-Service solutions and our Mobile Bag Drop app help airports efficiently manage the ups and downs in daily passenger numbers.

We configure all modules within the Cloud and deliver remote updates quickly and easily; users can access AeroCloud's software via a web interface, removing the need to access a local network.

We are looking for a Machine Learning Engineer to join our Data Science team who will report directly to the Head of Engineering.

This role will not have any direct reports and will be based in the Stockport office with a hybrid working model.

As a Senior Machine Learning Engineer, you will play a pivotal role in developing and deploying machine learning solutions that drive predictions, forecasting, visual detections, and dwell analyses.

This role demands a strong engineering focus, with a significant emphasis on coding in TypeScript, designing data architectures, and leveraging cloud technologies to build scalable machine learning systems.

Design and implement machine learning models with a focus on computer vision and AWS Machine Learning Services like SageMaker.


  • Engineer robust data pipelines (ETL) and machine learning infrastructures using TypeScript, ensuring scalability and performance.
  • Develop and maintain data warehouses and lakes, utilising services such as MongoDB Atlas and Event Buses for efficient data operations.
  • Take ownership of the entire lifecycle of machine learning projects, from data gathering and model training to deployment and monitoring.
  • Continuously innovate and improve machine learning systems, incorporating the latest technologies and methodologies.
  • Ensure data security and compliance across all machine learning operations, integrating advanced features such as encryption and secure data transfer mechanisms.
Machine Learning and

Computer Vision:
Extensive experience in building, maintaining, updating and deploying machine learning models.

TypeScript Programming:
Advanced proficiency in TypeScript, is required for developing scalable and maintainable code.

AWS Machine Learning Services:
In-depth knowledge of AWS machine learning ecosystems, including experience with SageMaker.

Data Engineering:
Strong background in designing and managing data warehouses and lakes, with expertise in ETL processes and data modelling.

Agile Methodology:
Demonstrated ability to work within Agile frameworks, prioritising tasks and delivering solutions efficiently.

Serverless Infrastructure:
Proficiency in designing and supporting serverless architectures on AWS using CDK.

  • Skilled in the development and maintenance of CI/CD pipelines for continuous integration and deployment of machine learning solutions.

Security:
Strong understanding of security protocols and best practices, especially related to data protection and compliance.
AeroCloud recognises Diversity, Equality, and Inclusion at the heart of our business. They are integral to our brand, reputation, success, business sustainability and employee relations impact.

We want our workplace both in the office and at home to foster belonging to all colleagues to feel seen, connected, supported and proud.

We will draw on the rich diversity of our workforce and harness the diverse contributions and considerable talents of our staff to achieve our vision in line with our organisational values and DE&I principles.

AeroCloud is an equal opportunities employer so if you have any specific work or access requirements as a result of a condition or disability then AeroCloud would be committed to working with you on the best way to support this at work.

Competitive salary

  • Hybrid working environment
  • 25 days annual leave + statutory holidays
  • Take your birthday off work on us as well
  • Access to our Employee Assistance Program
  • Extensive upskilling and training
  • Company pension scheme
  • Access to employee perks and discount
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