Senior Backend Engineer (MLOps)

• Senior Backend Engineer with MLOps
• At Parser, we are seeking a Senior Backend Engineer with strong MLOps expertise to join the Engineering team.
• In this role, you will help design, build, and maintain the infrastructure that powers ML solutions within the Aircraft Maintenance division—managing data pipelines, streamlining model deployment, and optimizing compute resources.
• You'll work on high-impact systems such as predictive maintenance, fault detection, and component lifecycle optimization, while collaborating closely with data scientists and engineering teams to integrate models into production.

Role Overview

We're seeking a passionate and experienced Software Engineer to join the Aircraft Maintenance ML team at our client. This high-impact role combines infrastructure expertise with applied MLOps knowledge, requiring proficiency in software engineering, distributed systems, and machine learning operations.

Key Responsibilities

• Design and implement scalable ML infrastructure for training, deployment, and serving in batch and real-time environments, supporting aircraft maintenance workflows.
• Build and maintain efficient data pipelines (ETL/ELT) for large-scale processing and feature engineering, leveraging aircraft sensor, telemetry, and maintenance records data.
• Optimize compute resources and improve model serving performance across ML systems used in maintenance scheduling and anomaly detection.
• Implement robust monitoring, logging, and alerting systems, and contribute to MLOps practices including CI/CD pipelines.
• Collaborate closely with Data Scientists and Maintenance Engineers to streamline the model development-to-production workflow.
• Research and integrate new technologies, mentor junior engineers, and communicate technical solutions to diverse stakeholders across engineering and operations teams.
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
• 6-7 years of experience in Software, Data, or ML engineering roles (preferred).
• Strong problem-solving skills, proficiency in Python.
• Understanding of ML algorithms, model architectures, and experience building scalable, reliable ML systems — ideally in safety-critical or regulated industries.
• Exposure to cloud platforms (e.g., AWS), containerization (Docker), and scalable data systems (e.g., Spark, Kafka).
• Familiarity with CI/CD tools (e.g., GitHub Actions), ML model serving technologies (e.g., MLflow), and ability to collaborate well across multidisciplinary teams.

Location

Madrid: Spain (willingness to travel to the UK 2–3 times a month)

Some of the benefits you'll enjoy working with us

• The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
• The opportunity to form part of an amazing, multicultural community of tech experts.
• A highly competitive compensation package.
• Medical insurance.

How to Apply

• If you believe you can do the job and are excited to grow with us, we'd love to hear from you. Please submit your application through our careers page.
• Come and join our #ParserCommunity.
• Follow us on Linkedin