> Markdown version of [/jobs/ext/1938929-senior-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/1938929-senior-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Ai & Ml Engineer

- **Company:** Blu Selection
- **Location:** Madrid, Spain
- **Salary:** €60,000.0 - €70,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Agile Methodology, Artificial Intelligence, Cloud Computing, Continuous Integration, Information Engineering, Python (Programming Language), Machine Learning, Software Architecture, DataOps, Azure Machine Learning, Delivery Pipeline, Containerization, Machine Learning Operations, Docker, Databricks
- **Published:** August 5, 2026
- **Apply:** https://www.buscojobs.com.es/senior-ai-ml-engineer-en-madrid-ID-365559068

## About the Role

5+ years of experience in IT or Engineering, with significant hands-on experience in AI/ML and technical leadership.
Technical Excellence:
Advanced proficiency in Python and strong knowledge of AI/ML algorithms, architectures, and data engineering best practices.
MLOps & Cloud:
Hands-on experience with Azure ML or Databricks, CI/CD pipelines, Docker, and monitoring AI systems in production.
Delivery Muscle:
Experience working in Agile environments with the ability to clearly communicate technical concepts to both tech and non-tech stakeholders.
Languages:
Full professional proficiency in English.
The Nice-to-Haves:
French fluency
is strongly preferred and will make collaborating with key regional teams a breeze!
Prior exposure to chemistry, formulation, or the fragrance & flavor industry.

## Description

Salary & Benefits: €60,000 - €70,000 gross per year + meal vouchers, flexible perks, and early Friday wrap-ups!Our client is a world-renowned, family-owned global leader with over 150 years of history in the fragrance, flavor, and ingredient industry.With an active footprint spanning over 41 countries, they sit at the intersection of science, sensory art, and deep tech.Right now, they are heavily investing in bringing cutting-edge technology into traditional formulation, chemistry, and supply processes.The goal?To build state-of-the-art AI solutions, streamline global operations, and unlock high-impact data-driven products across their international ecosystem.You'll be jumping right into the heart of their digital transformation journey!And your role in this?As theSenior AI & ML Engineer , you are the technical backbone of the end-to-end machine learning lifecycle.You'll sit right at the core of the digital and data team, applying deep engineering rigor to build and scale reliable systems that solve real-world R&D challenges.Your main mission is to make sure complex AI concepts turn into viable, scalable, and operationally sound products that actually solve real-world problems.You will own the technical design, development, and automation workflows, ensuring everything runs smoothly, securely, and predictably.More specifically, you will:Deliver high-quality code for data, modeling, and deployment pipelines, ensuring AI solutions are integrated into robust software architectures.Implement and maintain robust MLOps workflows, focusing on automated CI/CD, containerization, and model observability.Lead the technical design, development, and optimization of scalable, maintainable AI solutions aligned with modern best practices.Work within an Agile framework to translate research into predictable production value while ensuring compliance with data privacy, security, and ethical AI guidelines.Partner with technical and business stakeholders to translate complex business challenges into clear technical requirements.Ok, what should you bring?We're looking for a seasoned engineering mind who loves the challenge of productionizing AI, values clean code, and can talk tech with data scientists just as easily as strategy with business stakeholders.The Must-Haves:Experience:5+ years of experience in IT or Engineering, with significant hands-on experience in AI/ML and technical leadership.Technical Excellence:Advanced proficiency in Python and strong knowledge of AI/ML algorithms, architectures, and data engineering best practices.MLOps & Cloud:Hands-on experience with Azure ML or Databricks, CI/CD pipelines, Docker, and monitoring AI systems in production.Delivery Muscle:Experience working in Agile environments with the ability to clearly communicate technical concepts to both tech and non-tech stakeholders.Languages:Full professional proficiency in English.The Nice-to-Haves:French fluencyis strongly preferred and will make collaborating with key regional teams a breeze!Prior exposure to chemistry, formulation, or the fragrance & flavor industry.Is that it?Not quite!Beyond the work itself, here is a glimpse into the vibe, package, and reality of the role:The Target & Challenge:Building AI tools for a heritage industry isn't always easy-you'll need to navigate cross-functional dynamics, manage dependencies early, and bring diverse teams along on the digital journey.The Salary & Package:A fixed annual salary ranging between€60,000 and €70,000 , accompanied by a permanent contract from day one, meal vouchers, flexible compensation options (like childcare vouchers), and comprehensive life and accident insurance.The Vibes:Stable, inclusive, and grounded in long-term human values.The culture favours balance: expect shorter working days on Fridays, generous vacation time, and a supportive team atmosphere that respects your time off as much as your hard work.#J-*****-Ljbffr


## Related Videos

- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou)
- [From A2A to MCP: How AI’s “Brains” are Connecting to “Arms and Legs”](https://www.wearedevelopers.com/videos/1631-from-a2a-to-mcp-how-ai-s-brains-are-connecting-to-arms-and-legs)
- [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)