Senior Machine Learning Engineer - LLM & Multi-Agent AI Expert (Remote, Spain)
Social Discovery Group (SDG) is seeking a highly skilled Senior Machine Learning Engineer to spearhead ML initiatives for their remote, international team.
This pivotal role involves leading advancements in LLM post-training, fine-tuning, and the architecture of multi-agent AI systems.
Explore these Apply for Machine Learning Engineer in Murcia with competitive benefits.
You will be instrumental in developing robust evaluation and deployment frameworks to enhance dialogue, memory, and safety across cutting-edge social discovery products.
This position represents excellent employment in the region.
The ideal candidate possesses profound expertise in Python, extensive experience with Transformers and LLM optimization strategies, and a strong understanding of dataset construction.
A solid foundation in MLOps is crucial for building scalable and efficient machine learning solutions in this dynamic environment.
| Jobs Date Posted: | 03 November, 2026 |
| Jobs Last Date to Apply: | 18 December, 2026 |
| Industry: | Technology |
| Jobs Industry Type: | Private |
| Job Hiring Organization: | JR Spain Client / Employer Dating Group |
| Occupational Category: | Machine Learning |
| Education Requirements | Bachelor Degree |
| Employment Type: | full-time |
| Advertisement Source: | Eurojobs |
| Job Location: | Murcia |
| Address Region: | Murcia |
| Country of Appointment: | Spain |
| Employer Department: | Machine Learning |
| Employer Contact Phone: | 03390723246 |
Further Details
Join Social Discovery Group (SDG) as a Senior Machine Learning Engineer, driving innovation in LLM and multi-agent AI from a remote location in Spain. This opportunity focuses on advanced LLM techniques, including post-training and fine-tuning, alongside the sophisticated design of multi-agent systems. Your contributions will directly impact product development by creating sophisticated evaluation and deployment workflows. These systems are designed to significantly improve conversational capabilities, memory functions, and overall safety within our leading social discovery platforms, offering excellent career development.
Senior Machine Learning Engineer - LLM & Multi-Agent AI
Social Discovery Group (SDG), a leading technology innovator, is actively seeking a talented Senior Machine Learning Engineer to join their remote, internationally distributed team. This exciting role is based in Spain and focuses on driving the future of AI within social discovery products. You will be at the forefront of developing and implementing advanced machine learning models. Key responsibilities include spearheading LLM post-training initiatives, fine-tuning large language models for optimal performance, and architecting sophisticated multi-agent AI systems. You will also be responsible for establishing cutting-edge evaluation and deployment workflows, crucial for enhancing user experience through improved dialogue, memory recall, and enhanced safety features across the platform. This position is ideal for professionals passionate about artificial intelligence and seeking significant career development in a dynamic private sector environment. The role offers a competitive salary and the opportunity to work on impactful projects. **Key Highlights:**- Advanced LLM and Multi-Agent AI development
- Remote work opportunity within Spain
- Enhance dialogue, memory, and safety features
- Collaborate with a global, distributed team
Skills
- Deep Python expertise
- Experience with Transformers
- LLM optimization techniques
- Dataset construction
- Strong MLOps fundamentals
Duties and Responsibilities:
- Lead LLM post-training and fine-tuning
- Design multi-agent AI systems
- Build robust evaluation and deployment workflows
- Improve dialogue, memory, and safety in social discovery products
How to apply
- 💼 Review the detailed job description for the Senior Machine Learning Engineer position.
- 🔎 Ensure you meet all the required skills, including deep Python expertise, experience with Transformers, LLM optimization, dataset construction, and strong MLOps fundamentals.
- 🚀 Navigate to the 'Apply Now' link provided.
- 📝 Complete the application form thoroughly with accurate personal and professional details.
- 📌 Submit your updated Curriculum Vitae (CV) and any supporting documents as requested.
- ⏳ Adhere strictly to the closing date of 18 December 2026 for your application submission.
- ✅ Successful candidates will be contacted for the next stages of the selection process.
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