- Company Name
- London North Eastern Railway
- Job Title
- Machine Learning Operations Engineer
- Job Description
-
Job title: Machine Learning Operations Engineer
Role Summary:
Design, implement, and maintain production‑ready machine learning pipelines and infrastructure on AWS, ensuring reliable CI/CD, automated testing, model training, and deployment for large‑scale data processing.
Expactations:
- Deliver end‑to‑end ML solutions that provide measurable business value.
- Collaborate cross‑functionally with architects, data scientists, and IT to scale and secure ML workloads.
- Maintain high code quality, rigorous testing, monitoring, and documentation.
Key Responsibilities:
- Develop and manage ML platform infrastructure, including packaging, versioning, and CI/CD pipelines.
- Build, maintain, and monitor continuous model training, selection, and deployment workflows.
- Design data ingestion pipelines and integrate data from multiple sources for ML use.
- Provide knowledge leadership on MLOps best practices across the team.
- Support AWS infrastructure provisioning and management, ensuring compliance with security standards.
Required Skills:
- Proficient Bash and Python scripting in Unix/Linux environments.
- Deep experience with AWS services: S3, EC2, Lambda, CloudFormation, Athena, DynamoDB, CodeCommit, SageMaker, etc.
- Expertise in Docker and container orchestration.
- Strong background in Infrastructure as Code (IaC) and DevOps lifecycle tools.
- Solid software engineering practices: code review, version control (Git/CodeCommit), testing, logging, monitoring, and alerting.
- Advanced Python programming and familiarity with libraries such as NumPy, SciPy, Pandas, Dask, PyTorch, TensorFlow.
- Proven ability to link disparate data systems for scalable, secure, and monitored production solutions.
- Knowledge of cloud security best practices.
Required Education & Certifications:
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field.
- AWS certifications (e.g., AWS Certified Solutions Architect, ML) highly preferred.