About Logidot:

Logidot is a privately-owned company founded in 2018 and born out of a research programme at Imperial College London, to develop a system for high performance real-time location tracking of mobile assets in industrial warehouses. Logidot is a pioneer and manufacturer of award winning industrial real-time location system (RTLS) and services to help warehouse and factory operators.

Our mission is to bring people, processes, assets and industrial spaces into optimal flow. Logidot creates a digital twin of the warehouse, factory or yard operations by tracking mobile assets (eg vehicles, tools, stock, robots) in realtime with our uniquely high-performance, plug&play and low-cost location tracking sensors. Our Smart Warehouse platform, in turn, gives managers the ability to analyse real-time and historical material flows and optimize the efficiency, safety and sustainability of operations through predictions, locationbased process automation and alerts. For example, increase efficiency by dynamically optimising picking routes, reduce misplaced stock, predict and right-size asset requirements, and improve safety by detecting hazardous behaviours and anomalies to prevent accidents. We are looking for a passionate and talented data engineer to lead the development of our spatial intelligence platform.

Your role:

You will have a strong background in data analysis, machine learning and a proven track record of delivering production software in a collaborative environment. You will be expected to take ownership of our cloud-based data analytics stack, which analyses raw data collected by our hardware (as well as 3rd party) to provide actionable insights to our end users. Your work will involve maintaining the existing codebase as well as extending its functionality in response to feedback from our clients. You will also lead the development of our spatial intelligence platform.

Requirements

Main Requirements:

The ideal candidate is expected to have:

-An Msc or PhD in Computer Science, Mathematics, Statistics, or related technical field
-Fluency in Python and data analysis libraries (such as numpy, scipy, etc)
-Experience with machine learning, optimisation and process mining in Python
-Familiarity with MLOps principles and practices, including CI/CD, model versioning, monitoring, and deployment
-Experience working with Linux, Docker, AWS, Kafka and git
-Adopt best practices for software development, testing, and deployment, as well as MLOps and Cloud computing principles
-The ability to think and work independently
-Superb team working and communication skills (in English)
-A track record of successful projects
-A passion for technology and a desire to push the boundaries (not looking for a 9/5 job)

Bonus Requirements:

-Strong knowledge of cloud computing platforms (e.g., AWS, Azure, GCP) and experience building cloud-based machine learning systems
-Experience with dynamic routing, scheduling problems and constrained optimisation techniques
-Familiarity with ERP/WMS software

Benefits

While the role is mostly remote, the candidate has to be UK based and is expected to travel to events and client sites approximately on a monthly basis. He/she will be remunerated with a competitive base salary as well as a significant stake of options in the company.