Senior Machine Learning Engineer

Senior Machine Learning Engineer

Madrid Based - Hybrid - 3 Days Onsite - MUST speak and write in fluent English

A progressive technology company dedicated to transforming how knowledge is shared and accessed globally. Our platform empowers researchers and professionals to contribute to impactful solutions for today's challenges.

They provide a comprehensive benefits package across their global locations, including:

• 4 Wellbeing days on top of standard annual leave
• Access to learning platforms and dedicated learning & development time
• Various wellbeing initiatives, including free online yoga classes and an employee assistance plan
• 3 Annual volunteer days for all employees
• Location-specific benefits (such as pension plans and private medical care)

The Role

We are seeking a Senior Machine Learning Engineer to lead the deployment and maintenance of advanced ML models, including large language models (LLMs). This role will focus on enhancing ML operational processes to drive business value using cutting-edge AI technologies, and leading projects involving state-of-the-art AI techniques to achieve portfolio goals.

Responsibilities

• Design scalable ML infrastructure in collaboration with the team
• Adopt MLOps best practices; design pipelines for training and deploying advanced AI models
• Identify and implement automation opportunities in AI system development and deployment
• Collaborate with stakeholders to align AI models with business requirements
• Oversee integration of ML models into production, ensuring efficient AI application serving
• Lead complex ML projects from development through to deployment
• Mentor junior team members and enforce best practices in AI model development and deployment
• Lead process improvement initiatives to optimize workflows for advanced AI projects

Required Skills

• MUST speak and write in fluent English
• Extensive experience in end-to-end ML projects and deploying production-grade ML models, including LLMs
• 5+ years of professional experience in ML engineering or related roles
• Proficiency in Python, ML libraries, and algorithms
• Expertise in deep learning frameworks; experience with LLMs (e.g., GPT, BERT) and generative models, including prompt engineering and fine-tuning
• Experience with MLOps tools (e.g., MLflow, TFX, Kubeflow) for managing complex models
• Proficiency in REST API design in Python (Flask, FastAPI) for serving AI services
• Experience with cloud platforms (Azure, AWS, or GCP) for model training and deployment
• Expertise in Docker and Kubernetes for efficient model deployment
• Experience with workflow engines (e.g., Airflow) for automating data and model pipelines
• Knowledge of data versioning tools like DVC for reproducibility
• Familiarity with NLP techniques and frameworks (e.g., Hugging Face Transformers) for LLMs
• Experience with agile project management methodologies (Scrum, Kanban) in AI teams
• Strong communication, problem-solving, leadership, and stakeholder management skills
• Continuous learning mindset

If you are on the lookout for your next Madrid based role then drop us a message.