Henning Gruhl - Senior AI/Machine Learning Engineer

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Madrid, Spain

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Experience

Jan 2025 - Present

1 year 8 months

Senior AI/Machine Learning Engineer

Reale Seguros

Orchestrated end-to-end MLOps development including model training and deployment using Databricks, CI/CD and Azure ML
Implemented drift and bias monitoring, batch and online inference with Azure Data Factory, MLflow, FastAPI and Azure ML
Architected and maintained modular Python libraries to standardize AI workflows, enforce best practices and support data scientists
Built and maintained scalable ETL and batch processing pipelines across Databricks and Azure, improving reliability with partitioning and automated CI/CD workflows
Managed Azure cloud infrastructure and security: Databricks clusters, Azure ML compute, Data Factory, Linked Services, Key Vault secrets and CI/CD

Jun 2024 - Jan 2025

8 months

Madrid, Spain

Machine Learning Engineer

BNP Paribas

Led the development of a drift monitoring tool for ML models and datasets, implemented drift detection and built a real-time monitoring dashboard
Automated testing with PyTest and optimized metric thresholds
Contributed to training and industrialization of a soft classification model for data leakage protection to prevent unauthorized data exfiltration
Containerized and deployed machine learning models on Kubernetes clusters using Kubeflow for training, batch scoring and online inference
Designed and implemented a Git monitoring tool for automating extraction and processing of project, branch and pipeline data from GitLab using asyncio and aiohttp, achieving 80% speedup

Apr 2023 - Jan 2024

10 months

Madrid, Spain

AI and Data Engineer

Telefónica

Deployed open source large language model on AWS SageMaker and built a retrieval-augmented generation app with LangChain, fine-tuning using QLora to align responses with company-specific tasks
Developed serverless solutions with AWS Lambda and integrated open source LLM with Amazon Lex to optimize interactions and provide curated responses
Integrated Elasticsearch with microservices architecture via REST APIs and built interactive dashboards in Kibana for major clients such as Lanxess and Aldi

Industry Experience

See where this freelancer has spent most of their professional time.

Experienced in Insurance, Telecommunication, and Banking and Finance.

Insurance

Telecommunication

Banking and Finance

Business Area Experience

See which departments and functions this freelancer has contributed to most.

Experienced in Information Technology and Business Intelligence.

Information Technology

Business Intelligence

Skills

Languages: Python, C/C++, Javascript, Postgresql, R, Html, Css
Frameworks: Pytorch, Tensorflow, Scikit-Learn, Pandas, Numpy, Xgboost, Pytest, Pyspark, Hf Transformers, Langchain, Langgraph, Mlflow, Kubleflow, Databricks, Whylogs, Node, Fastapi, Elastic Stack, Nosql, Mcp Sdk, Vertexai
Tools: Git, Git Actions, Cicd, Gitlab, Jira, Aws, Azure, Gcp, Docker, Kubernetes, Bicep, Terraform, Tableau, Visual Studio Code, Postman, Linux

Languages

German

Native

English

Native

Spanish

Native

Education

Nov 2024 - Oct 2025

Universidad de Alcalá

MSc in Mathematics, Quantitative Finance · Mathematics (Quantitative Finance) · Madrid, Spain

Sep 2020 - Jun 2024

IE University

Bachelor of Computer Science and Artificial Intelligence · Computer Science and Artificial Intelligence · Madrid, Spain · 8/10

Certifications & licenses

Certificate Of Proficiency In English (C2)

Cambridge University

Statistics

Experience

Total positions 3

Experience in Insurance 1.5 y

Avg length 1 y

Longest experience 1 y 7 m

Global Experience

Countries worked in 1 (Spain)

Primary country Spain

Expertise

Recent roles Senior AI/Machine Learning Engineer, Machine Learning Engineer, AI and Data Engineer

Main industries Insurance, Telecommunication, Banking and Finance

Main business areas Information Technology, Business Intelligence

Qualifications

Highest degree Master

Certifications earned 1

Profile

Created

November 2025

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Frequently asked questions

Have questions? Find more information here.

Henning is based in Madrid, Spain.

Henning speaks the following languages: German (Native), English (Native), Spanish (Native).

Henning has at least 3 years of experience. During this time, Henning has worked in at least 3 different roles and for 3 different companies. The average length of individual experience is 1 year. Note that Henning may not have shared all experience and actually has more experience.

Based on recent experience, Henning would be well-suited for roles such as: Senior AI/Machine Learning Engineer, Machine Learning Engineer, AI and Data Engineer.

Henning's most recent position is Senior AI/Machine Learning Engineer at Reale Seguros.

In recent years, Henning has worked for Reale Seguros, BNP Paribas, and Telefónica.

Henning is most experienced in industries like Insurance, Telecommunication, and Banking and Finance.

Henning is most experienced in business areas like Information Technology and Business Intelligence.

Henning holds a Master in Mathematics (Quantitative Finance) from Universidad de Alcalá and a Bachelor in Computer Science and Artificial Intelligence from IE University.

Henning has 1 certificate: Certificate Of Proficiency In English (C2).

Henning is immediately available full-time for suitable projects.

Daily Rate Distribution

0 2 4 6 8

<€800 €800-1200 €1200+

The rates shown represent the typical market range for freelancers in this position based on recent contracts on our platform.

Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.

Average rates for similar positions

Rates are based on recent contracts and do not include FRATCH margin.

800

600

400

200

Daily rate avg. 671 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

800

600

400

200

Median rate 640 €

The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.

Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.