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. Together with our common-use passenger processing and selfservice solutions, we deliver an innovative answer to the complex operational challenges experienced by airports across the globe. 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. Our platform is 100% cloud-native, and users can access it anywhere, anytime, and on any device. 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. Airports can depend on our cloud-hosted platform’s security, fast processing speeds and scalability.

Requirements

About you

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.

Summary of Role

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.

Ownership and Impact

● 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.

The duties and responsibilities of the role may vary and change depending on the AeroCloud business needs.

What are we looking for?

Core Skills

• 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.

Desirable Skills

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

• Microservices & Event-Driven Systems: Experience with designing and implementing solutions based on microservices and event-driven architectures.

• CI/CD Pipelines: 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.

Our ethos

AeroCloud recognises Diversity, Equality, and Inclusion at the heart of our business. They represent the mutual trust, respect and understanding we strive for. They are integral to our brand, reputation, success, business sustainability and employee relations impact. Our vision is to have a diverse, equal and inclusive organisational culture. We want everyone who comes into contact with us, both face to face and virtually, to feel valued and respected. 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.

Benefits

What's in it for you

● 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