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90,000+ live jobsSenior Backend Engineer (MLOps)
On-site in Madrid·Full-time·Added over a year ago (last checked 7 Nov)
Parser Digital
20 open roles
Our summary
- Work mode
- On-site, Madrid
- Contract
- Full-time
- English
- Required
- Experience
- 6+ years
- Education
- University degree
- Benefits
- Private health insurance
Visa options
The ad doesn’t mention sponsorship
Not a refusal, but not a yes. Worth asking in your first message.
Skills
Nice to have
Requirements
What we're looking for
Qualifications
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
- 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.
Nice to have
- 6-7 years of experience in Software, Data, or ML engineering roles (preferred).
Pay & benefits
What you'll get
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.
The role
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.
What you'll do
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.
How you'll work
Location
- Madrid: Spain (willingness to travel to the UK 2-3 times a month)
Hiring process
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.
About Parser Digital
Parser (Parser Limited) is a technology consultancy focused on "Applied AI for measurable impact", delivering AI implementation, product development, and technology modernisation for global organisations. It describes itself as "Boutique by design", combining strategic consulting with hands-on delivery in a single team, with expertise spanning product, engineering, data, quality, and AI. The company holds ISO 27001 certification for information security management and was an EY Entrepreneur of the Year finalist in 2024.
Good to know if you are moving
- Parser has co-working bases in two Spanish cities: Barcelona (Utopicus Torre Marenostrum) and Madrid (Networkia Castellana).
- The company works with a hybrid model: "We work anywhere our clients are, with teams assembled globally, around each challenge."
- Multiple senior engineering roles are currently open in Spain, including Site Reliability Engineer, AI Engineer, Backend (Java/Kotlin, Golang), Mobile (KMP, iOS, React Native), Data Engineer, DevOps, and Fullstack positions.
- Parser is ISO 27001 certified for information security management.
- The company describes its work as "High-stakes work for global clients, high-calibre teams, and growth driven by talent and ambition."
In their own words
About the company & team
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US$80k - US$120k
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€3k - €4k
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