Senior Machine Learning Engineer

Company Description

Talan – Positive Innovation

Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions.

Talan at a Glance

Headquartered in Paris and operating globally, Talan combines technology, innovation, and empowerment to deliver measurable results for our clients. Over the past 22 years, we’ve built a strong presence in the IT and consulting landscape, and we’re on track to reach €1 billion in revenue this year.

Our Core Areas of Expertise

Data & Technologies: We design and implement large-scale, end-to-end architecture and data solutions, including data integration, data science, visualization, Big Data, AI, and Generative AI.

Cloud & Application Services: We integrate leading platforms such as SAP, Salesforce, Oracle, Microsoft, AWS, and IBM Maximo, helping clients transition to the cloud and improve operational efficiency.

Management & Innovation Consulting: We lead business and digital transformation initiatives through project and change management best practices (PM, PMO, Agile, Scrum, Product Ownership), and support domains such as Supply Chain, Cybersecurity, and ESG/Low-Carbon strategies.

We work with major global clients across diverse sectors, including Transport & Logistics, Financial Services, Energy & Utilities, Retail, and Media & Telecommunications.

Job Description

You will join a global data ecosystem built on Google Cloud Platform, working on large-scale data and machine learning initiatives. The environment focuses on industrializing ML solutions - moving beyond experimentation into robust, production-ready systems. You will collaborate closely with Data Engineers, DevOps, and product teams to deploy, scale, and monitor ML models in real-world applications.

What you will do

Design, build, and deploy machine learning models into production on GCP

Lead development of scalable ML pipelines for data ingestion, processing, and inference

Implement model lifecycle management using MLflow and DVC

Containerize ML applications using Docker and deploy via Kubernetes

Collaborate with DevOps teams to build CI/CD pipelines using GitLab

Optimize model performance, monitoring, and reliability in production environments

Contribute to architecture decisions and best practices for ML systems

Mentor junior engineers and promote engineering excellence across teams

Qualifications

Required:

Strong proficiency in Python (advanced level)

Proven experience deploying ML models into production environments

Solid experience with Google Cloud Platform (ideally Vertex AI)

Hands-on experience with Docker and Kubernetes

Experience with ML lifecycle tools (MLflow, DVC)

CI/CD experience (GitLab preferred)

Experience working in Agile/SCRUM environments

Nice to have:

Knowledge of R for data analysis

Experience working with large-scale data ecosystems (Data Engineering exposure)

Infrastructure as Code (IaC) experience

Exposure to Azure environments

Additional Information

What do we offer you?

Full-time contract

Remote position based in Málaga, Spain

Possibility to manage work permits

Training and career development opportunities.

Perks & Benefits: smart office, private medical inssurance, flexible remuneration, extra holidays

Be part of a multicultural team working on international projects.

If you are passionate about data, development & tech, we want to meet you!

Talan Spain’s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company’s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019).