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.

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.

• 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., Git Hub Actions), ML model serving technologies (e.g., MLflow), and ability to collaborate well across multidisciplinary teams.

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

• 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.