Senior Machine Learning Engineer - AI Foundations
Kraken
Paris, France
4 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Paris, France
Tech stack
Artificial Intelligence
Cloud Computing
Continuous Integration
Python
Machine Learning
Software Engineering
Deployment Automation
Machine Learning Operations
Software Version Control
Data Pipelines
Job description
- This role differs from product-embedded ML roles - your focus will be foundational capability, not a single feature or model.
- Build and maintain the foundational AI gateways and inference services used across Kraken to provide reliable and efficient access to ML and generative AI models.
- Architect and evolve internal evaluation tooling and monitoring frameworks that allow teams to measure the performance, quality, and safety of their systems at scale.
- Act as a technical mentor by teaching software engineers and ML specialists how to adopt foundational capabilities, ensuring AI is easy to use and integrated into everyday development.
- Create and maintain high-quality documentation, internal guidance, and technical standards to help teams understand when and how to use AI effectively.
- Continuously improve Kraken's approach to AI enablement by balancing speed, cost, and quality within the infrastructure you manage.
- Work pragmatically - favouring solutions that work in production over theoretical perfection.
Requirements
- ~3 years of professional experience as a Machine Learning Engineer or similar applied ML role.
- Strong Python skills and experience with common ML libraries and frameworks.
- Practical experience taking ML models from development into production.
- Good understanding of software engineering fundamentals (version control, testing, CI/CD etc).Experience working with cloud infrastructure and data pipelines.
- An ability to explain ML concepts clearly to non-ML engineers.A bias towards action, learning quickly, and improving systems over time.
- Prior experience building internal platforms or shared tooling.
- Exposure to MLOps practices, including model monitoring, evaluation, and deployment automation.
- Familiarity with considerations regarding data privacy, security, or responsible AI. Kraken is a certified Great Place to Work in France, Germany, Spain, Japan and Australia. In the UK we are one of the Best Workplaces on Glassdoor with a score of 4.5 and in Germany we rate 4.7 on Kununu as a Top Company. Check out our Welcome to the Jungle site (FR/EN) to learn more about our teams and culture.
About the company
Kraken powers some of the most innovative global developments in energy.
We're a technology company focused on creating a smart, sustainable energy system. From optimising renewable generation, creating a more intelligent grid and enabling utilities to provide excellent customer experiences, our operating system for energy is transforming the industry around the world in a way that benefits everyone.
It's a really exciting time in energy. Help us make a real impact on shaping a better, more sustainable future.
You'll work in the AI Foundations team which exists to enable AI across the entire company. We build the shared platforms, tooling and patterns that enable engineering & product teams to safely, reliably and efficiently use machine learning and generative AI across the business. This is not a research lab. This is a delivery-focused team that sits at the intersection of platform engineering, applied ML and developer enablement.