ppSenior Backend Engineer with MLOps /p pAt Parser, we are seeking a Senior Backend Engineer with strong MLOps expertise to join the Engineering team. /p pIn 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. /p pYou’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. /p h3Role Overview /h3 pWe'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. /p h3Key Responsibilities /h3 ul liDesign and implement scalable ML infrastructure for training, deployment, and serving in batch and real-time environments, supporting aircraft maintenance workflows. /li liBuild and maintain efficient data pipelines (ETL/ELT) for large-scale processing and feature engineering, leveraging aircraft sensor, telemetry, and maintenance records data. /li liOptimize compute resources and improve model serving performance across ML systems used in maintenance scheduling and anomaly detection. /li liImplement robust monitoring, logging, and alerting systems, and contribute to MLOps practices including CI/CD pipelines.



/li liCollaborate closely with Data Scientists and Maintenance Engineers to streamline the model development-to-production workflow. /li liResearch and integrate new technologies, mentor junior engineers, and communicate technical solutions to diverse stakeholders across engineering and operations teams. /li /ul h3Qualifications /h3 ul liBachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field. /li li6-7 years of experience in Software, Data, or ML engineering roles (preferred). /li liStrong problem-solving skills, proficiency in Python. /li liUnderstanding of ML algorithms, model architectures, and experience building scalable, reliable ML systems — ideally in safety-critical or regulated industries. /li liExposure to cloud platforms (e.g., AWS), containerization (Docker), and scalable data systems (e.g., Spark, Kafka). /li liFamiliarity with CI/CD tools (e.g., GitHub Actions), ML model serving technologies (e.g., MLflow), and ability to collaborate well across multidisciplinary teams. /li /ul h3Location /h3 ul liMadrid: Spain (willingness to travel to the UK 2–3 times a month) /li /ul h3Some of the benefits you'll enjoy working with us: /h3 ul liThe chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built. /li liThe opportunity to form part of an amazing, multicultural community of tech experts. /li liA highly competitive compensation package. /li liMedical insurance. /li /ul /p #J-18808-Ljbffr

📌 Senior Backend Engineer (Mlops) (Madrid)
🏢 Parser
📍 Madrid