Senior Machine Learning Engineer - Remote LLM & Multi-Agent AI Specialist

Further Details

This Senior Machine Learning Engineer position is ideal for professionals experienced in advanced AI development, specifically focusing on Large Language Models (LLMs) and multi-agent systems. Additionally, vacancies are available for qualified candidates. The role emphasizes driving ML direction within a remote, international team, crucial for improving user experiences in social discovery products through enhanced dialogue, memory, and safety features. Key responsibilities include leading LLM post-training and fine-tuning, designing multi-agent architectures, and establishing effective evaluation and deployment pipelines. This is a prime opportunity within the private sector for those seeking to leverage their deep Python expertise and MLOps fundamentals in a challenging and rewarding role.

Senior Machine Learning Engineer - Remote AI Opportunities

This exciting opportunity is with the Social Discovery Group (SDG), a leading entity in the private sector, seeking a skilled Senior Machine Learning Engineer. The role is based remotely, allowing for global collaboration, and focuses on advanced AI development. Candidates will be instrumental in shaping the machine learning direction for innovative social discovery products.

The ideal candidate will possess deep expertise in Python, LLM optimization, and MLOps, alongside a strong understanding of Transformers and multi-agent systems. This position offers a chance to work on impactful projects, enhancing dialogue, memory, and safety features that drive user engagement and satisfaction.

• Job Title: Senior Machine Learning Engineer
• Location: Remote (Navarra, Spain)
• Company: Dating Group (via JR Spain Client)
• Key Skills: Python, LLMs, Transformers, MLOps, Multi-Agent AI
• Responsibilities: LLM fine-tuning, system design, deployment workflows
• Application Deadline: 18 December 2026

Skills

• Expert-level Python proficiency
• Experience with Transformers and LLM optimization techniques
• Dataset construction and management
• Strong MLOps fundamentals
• Experience with LLM post-training and fine-tuning
• Ability to design multi-agent AI systems
• Proficiency in building evaluation and deployment workflows

Duties and Responsibilities:

• Lead the ML direction for a remote, globally distributed team
• Drive LLM post-training and fine-tuning initiatives
• Design and implement multi-agent AI systems
• Build robust evaluation and deployment workflows
• Enhance dialogue, memory, and safety across social discovery products
• Collaborate with cross-functional teams to integrate AI solutions

How to apply

• Explore Career Opportunities: Discover this Senior Machine Learning Engineer role advertised on Eurojobs.
• Review Job Details: Carefully read through the job description, responsibilities, and required skills to ensure alignment with your professional background and career aspirations.
• Prepare Your Application: Assemble a comprehensive CV highlighting your Python expertise, experience with LLMs, Transformers, and MLOps. Include any relevant project portfolios or demonstration of your work in multi-agent AI systems.
• Submit Your Application: Visit the provided application link to submit your detailed application. Ensure all required fields are completed accurately.
• Application Deadline: Please ensure your application is submitted by the closing date of 18 December 2026 to be considered for this position.
• Contact Information: For any direct inquiries regarding this position, please use the provided contact details. Explore these top companies hiring with competitive benefits.