Data & Machine Learning Engineer

Saab AB; Göteborgs kommun; On-site; SEK 750,000 - 1,000,000; Full time

Job summary

Saab AB is seeking a Data & Machine Learning Engineer for the AEW organization in Sweden. The role blends data engineering, analytics and ML to build data pipelines and ML solutions supporting the GlobalEye program across development and testing environments.

You will work with test engineers, systems engineers, software developers, product owners, and domain experts to turn complex data into actionable insights and scalable solutions while maturing data-driven ways of working.

Qualifications

• Masters in a relevant engineering discipline.
• Experience in software development, data engineering, analytics or ML.
• Experience developing with Python and data/ML frameworks.
• Understanding of data pipelines and modern data processing concepts.
• Ability to communicate with stakeholders across technical and executive domains.

Responsibilities

• Design, develop, and maintain scalable data pipelines for engineering data.
• Develop and improve machine learning workflows and infrastructure.
• Analyze complex datasets and deliver value-driven solutions to engineering teams.
• Collaborate with systems engineers, software developers, product owners, and domain experts.
• Help establish data-driven ways of working across the organization.
• Identify opportunities where analytics and ML can improve processes and quality.
• Contribute to projects from concept to deployment and operations.
• Support colleagues in adopting data, analytics, and ML methodologies.

Skills

Python

Data engineering

Machine learning

Data pipelines

Stakeholder communication

Education

Master's degree in Computer Science or related field

Tools

Delta Lake

Kafka

Spark

Airflow

MLflow

PyTorch

Pandas

JAX

Dagster

Job description

Passionate about making ideas a reality? Join our welcoming world of tech and let your ideas soar.

Your role

We are looking for a talented and driven Data & Machine Learning Engineer to join our Airborne Early Warning (AEW) organization and help shape the future of data-driven development, testing, verification, and evaluation for one of the world's most advanced Airborne Early Warning & Control (AEW&C) systems, GlobalEye.

This is an opportunity to work at the intersection of Data Engineering, Analytics, and Machine Learning, helping establish and grow our data and machine learning capabilities. As part of an emerging area within the organization, you will develop technical solutions, explore new ways of working, and support the adoption of modern data-driven methods across engineering teams.

The primary focus of this role is to build and improve data pipelines, analytics capabilities, and machine learning solutions using data generated throughout the development and testing of the GlobalEye system. You will collaborate closely with test engineers, systems engineers, software developers, product owners, and domain experts to transform complex technical data into actionable insights and scalable solutions.

As a Data & Machine Learning Engineer, you will:

• Design, develop, and maintain scalable data pipelines for engineering and product data.
• Develop and improve machine learning workflows and supporting infrastructure.
• Analyze complex datasets and create solutions that generate measurable value for engineering and development teams.
• Collaborate with systems engineers, software developers, product owners, and domain experts across the organization.
• Help establish and mature data-driven ways of working.
• Identify opportunities where analytics, automation, and machine learning can improve engineering processes, product quality, and decision-making.
• Contribute to initiatives from concept through implementation and operational use.
• Support colleagues and stakeholders in understanding and adopting data, analytics, and machine learning methodologies.

Your profile

We believe that success in this role is driven as much by mindset as by technical expertise. You are a self-driven, problem-solving, and proactive person who takes ownership of your work and thrives in environments where structures and ways of working continue to evolve. With a curious mindset and a passion for continuous learning, you enjoy exploring new technologies and approaches.

You are comfortable navigating ambiguity, creating clarity when needed, and driving initiatives forward both independently and together with others. Most importantly, you are motivated by solving complex challenges, creating value through practical solutions, and helping others embrace opportunities within data, AI, and machine learning.

Required Qualifications

• Master's degree in Computer Science, Engineering Physics, Electrical Engineering, Data Science, Applied Mathematics, or a related engineering discipline.
• Experience in software development, data engineering, analytics, machine learning, or a similar technical field.
• Experience developing solutions using Python and modern data processing or machine learning frameworks.
• Understanding of data pipelines, data modeling, and modern data processing concepts.
• Ability to communicate and collaborate effectively with stakeholders across technical and executive business domains.

Meritorious Experience

• Experience with sensor data, sensor fusion, or real-time data processing.
• Experience working with complex technical products or systems in highly engineered environments.
• Knowledge of MLOps practices, model deployment, and workflow automation.
• Experience with cloud-based Data & AI platforms
• Experience with technologies such as Delta Lake, Iceberg, Kafka, Spark, Airflow, Dagster, MLflow, PyTorch, Pandas, JAX or other large-scale data & machine learning tools.
• Military service and/or defence-related experience.

This position requires that you pass a security vetting based on the current regulations around/of security protection. For positions requiring security clearance additional obligations on citizenship may apply.

What you will be part of

Explore a wealth of possibilities. Take on challenges, create smart inventions, and grow beyond. This is a place for curious minds, brave pioneers, and everyone in between. Together, we achieve the extraordinary, each bringing our unique perspectives. Your part matters.

Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 30,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world.

Saab designs, manufactures and maintains advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. Saab is headquartered in Sweden. It has major operations all over the world and is part of the domestic defense capability of several nations. Read more about us here

Regardless of whether you value cutting edge technology, creativity or an innovative environment, everyone at Saab contributes to keeping people and society safe.