Full-Stack Data Science Engineer on AWS & ML

Sperry Rail, Inc.; East Midlands; On-site; GBP 70,000 - 120,000; Full time

Job summary

Sperry Rail is seeking Full Stack Engineers with a data science focus to design, build, and maintain data-driven applications behind Zula 2.0, the platform that ranks and fuses outputs from rail inspection systems. You will work across the full stack with emphasis on backend data processing, analytics, and ML workflows hosted on AWS.

Bring strong Python, data pipelines, AWS experience, and a collaborative mindset to translate rail inspection requirements into scalable technical solutions while

Qualifications

• Expert-level Python skills with NumPy, Pandas, Scikit-learn and data pipelines.
• Strong SQL knowledge and experience with AWS data services.
• Solid mathematical background: statistics, probability, linear algebra.
• Understanding of software engineering principles and CI/CD.

Responsibilities

• Design and develop data pipelines, ETL processes, and backend services using Python.
• Build and maintain APIs and microservices serving data products.
• Work with large-scale rail inspection datasets including ultrasonic, electromagnetic, and operational data.
• Implement and deploy machine learning models and analyses in production environments.
• Architect and manage AWS cloud infrastructure for data workloads (S3, Lambda, Glue, Athena, SageMaker, Step Functions).
• Collaborate with domain experts to translate rail inspection requirements into technical solutions.
• Write clean, tested, well-documented code following engineering best practices.
• Participate in code reviews, sprint planning, and technical design discussions.
• Collaborate with cross-functional teams including inspection engineers, data scientists, and product managers.
• Contribute to a culture of continuous improvement, knowledge sharing, and technical excellence.

Skills

Python

Data pipelines

SQL

AWS

Statistics

Algorithms

Software engineering

Git

CI/CD

Communication

Team collaboration

Time-series data

Geospatial data

Data fusion

Frontend React/TS

Rail/NDT experience

IaC

Docker

Tools

CloudFormation

CDK

Terraform

Job description

Sperry Rail is seeking Full Stack Engineers with a data science focus to design, build, and maintain data-driven applications behind Zula 2.0, the platform that ranks and fuses outputs from rail inspection systems. You will work across the full stack with emphasis on backend data processing, analytics, and ML workflows hosted on AWS.

Bring strong Python, data pipelines, AWS experience, and a collaborative mindset to translate rail inspection requirements into scalable technical solutions while