Location: Remote- Spain: Candidates must be based in Spain and have the existing right to work in Spain. We are unable to offer visa sponsorship or relocation support for this role.
Salary: EUR per annum (depending on experience)
Overview of Position
Speedcast delivers highly customizable mission-critical communication solutions for remote sites worldwide. Our Data Engineering team operates a modern lakehouse platform streaming telemetry from satellite and SD-WAN networks through Kafka into Iceberg TimescaleDB and a cloud query layer that powers analytics across the business.
As a Senior Machine Learning Engineer you will own the machine learning lifecycle on this platform end-to-end: from framing problems with stakeholders through model development and evaluation to deployment monitoring and retraining in production. Typical problem spaces include network usage and capacity forecasting anomaly detection on high-volume time-series telemetry and predictive insights for service quality and cost.
This is a senior role on a small agile team. You will set the technical bar for how models are built evaluated and operated at Speedcast and you will mentor AI Engineers on machine learning fundamentals and production discipline. The successful candidate works independently proactively drives improvements and communicates clearly with both technical and non-technical audiences.
What you will do
- Design build evaluate and deploy machine learning models including time-series forecasting anomaly detection and classification on network telemetry and business data.
- Build and maintain feature and training-data pipelines on top of the data lakehouse (streaming and batch sources).
- Own MLOps practices end-to-end: experiment tracking model versioning and registry CI/CD for models automated retraining and monitoring for drift and degradation.
- Define and promote standards for model development evaluation documentation and governance across the team.
- Translate business problems into well-framed ML problems and communicate model behaviour limitations and business impact to stakeholders.
- Collaborate closely with data engineers to productionize models as reliable observable services on AWS.
- Mentor AI Engineers and data scientists on ML best practices code quality and evaluation rigour.
- Participate in Agile ceremonies backlog grooming sprint planning and prioritisation activities.
- Evaluate and support the adoption of new ML technologies tools and architectural approaches.
What we need from you
- 5 years of experience in machine learning data science or ML engineering including delivering and operating models in production.
- Strong programming skills in Python and deep familiarity with the ML ecosystem (e.g. scikit-learn XGBoost PyTorch or TensorFlow pandas).
- Strong SQL skills and experience working with large analytical datasets.
- Hands-on experience with time-series modelling: forecasting and/or anomaly detection at scale.
- Solid grounding in statistics experiment design and model evaluation methodology.
- Hands-on experience with AWS services (e.g. SageMaker Lambda Step Functions S3 ECR) and deploying ML workloads in the cloud.
- Experience containerising applications using Docker.
- Experience with MLOps tooling and practices (experiment tracking model registries monitoring).
- Experience using Git for source control and working within Agile/Scrum environments.
- Excellent communication and stakeholder management skills including explaining model behaviour to non-technical audiences.
Even better if you have
- Experience applying ML to streaming data (Kafka/Confluent Flink) or near-real-time inference.
- Experience with lakehouse architectures (Apache Iceberg Parquet medallion/dbt patterns) and query engines such as Dremio.
- Experience with time-series databases such as TimescaleDB.
- Exposure to LLMs and generative AI systems including evaluation of generative outputs.
- Experience in telecommunications satellite networking or IoT telemetry domains.
- Experience with Infrastructure as Code (e.g. CloudFormation Terraform) and CI/CD pipelines.
- Advanced AWS expertise including relevant AWS or ML certifications.
- Experience mentoring engineers or leading technical workstreams.
Working at Speedcast
At Speedcast we want people that like adventure. Who are motivated by work that takes uncommon ingenuity and thinking outside the box. Who relish the idea of working in an industry undergoing massive transformation. If you want to be part of a integral team responsible for connecting the world then youre in the right place.
Were always pushing forward never standing still. When people rely on you and your team to stay connected it brings everyone closer together. Were united by the adrenaline of high-stakes projects and our love of getting the job done right. You will experiment learn and grow here right alongside us every single day.
Find great opportunities to make an impact. We have a one team one dream mentality. We work together to make great things happen. Working at Speedcast isnt just a job its a career that you can take to new levels.
Top reasons why people love working at Speedcast:
- Our global presence you get to work with clients and colleagues all over the world in every continent
- Talented teammates your co-workers are the best and brightest in the industry
- Industry leadership be part of the latest advancements shaping the future of communications
- Ability to develop skills work across departments to gain new skills and valuable experience
- Choose your environment we have an environment to fit your temperament. Choose between a traditional desk job or work in the field.
- Grow your career Guide your career in the direction you want. Gain new titles and responsibilities through our internal promotion system.
- Work on diverse projects every day is different with our customers from a range of industries around the world
Speedcast is an equal opportunity employer. We evaluate qualified applicants without regard to race color religion sex sexual orientation gender identity national origin disability age veteran status and other protected characteristics. The US EEO is the Law poster is available by visiting the below link:
does not accept or retain unsolicited résumés or phone calls and/or respond to them or to any third party representing job seekers.
Working at Speedcast:
At Speedcast we want people that like adventure. Who are motivated by work that takes uncommon ingenuity and thinking outside the box. Who relish the idea of working in an industry undergoing massive transformation. If you want to be part of a global team responsible for connecting the world then youre in the right place.
Were always pushing forward never standing still. When people rely on you and your team to stay connected it brings everyone closer together. Were united by the adrenaline of high-stakes projects and our love of getting the job done right. You will experiment learn and grow here right alongside us every single day.
Find great opportunities to make an impact. We have a one team one dream mentality. We work together to make great things happen. Working at Speedcast isnt just a job its a career that you can take to new levels.
Top reasons why people love working at Speedcast:
- Our global presence you get to work with clients and colleagues all over the world in every continent
- Talented teammates your co-workers are the best and brightest in the industry
- Industry leadership be part of the latest advancements shaping the future of communications
- Ability to develop skills work across departments to gain new skills and valuable experience
- Choose your environment we have an environment to fit your temperament. Choose between a traditional desk job or work in the field.
- Grow your career- Guide your career in the direction you want. Gain new titles and responsibilities through our internal promotion system.
- Work on diverse projects every day is different with our customers from a range of industries around the world
Speedcast is an equal opportunity employer. We evaluate qualified applicants without regard to race color religion sex sexual orientation gender identity national origin disability age veteran status and other protected characteristics. The US EEO is the Law poster is available by visiting the below link:
does not accept or retain unsolicited résumés or phone calls and/or respond to them or to any third party representing job seekers.
Required Experience:
Senior IC
📌 Senior Machine Learning Engineer (Madrid)
🏢 Speedcast
📍 Madrid
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