Senior AI/ML Engineer (GenAI)

TL;DR

Senior AI/ML Engineer (GenAI): Architecting and overseeing end-to-end AI solutions from data ingestion to production deployment with an accent on LLM refinement, RAG architectures, and MLOps. Focus on leading technical execution, mentoring engineering teams, and integrating scalable machine learning systems into complex software products.

Location: Must be based in the United Kingdom

Company

A global product development services firm focused on building cutting-edge technology through collaborative, diverse, and remote-first teams.

What you will do

• Lead and mentor a team of AI/ML engineers, providing technical guidance and support.
• Collaborate with clients to translate business problems into robust AI/ML solutions.
• Oversee the full lifecycle of AI projects from experimentation to production deployment.
• Define and implement best practices for model selection, fine-tuning, and governance.
• Design scalable architecture for machine learning systems integrated into existing products.
• Monitor production model performance and implement continuous improvements.

Requirements

• 8+ years of experience in building AI models with ML, NLP, and deep learning.
• Proven track record of delivering machine learning projects from concept to production.
• Strong programming skills in Python and experience with frameworks like PyTorch or TensorFlow.
• Extensive expertise in LLMs, RAG architectures, vector databases, and prompt engineering.
• Solid understanding of MLOps practices, CI/CD pipelines, and cloud platforms (AWS, Azure, or GCP).
• English proficiency required for daily global team collaboration.

Nice to have

• Experience building reusable AI frameworks or agentic AI applications.
• Contributions to research papers, blogs, or open-source projects.
• Experience with vector databases like FAISS or Pinecone.

Culture & Benefits

• Remote-first work environment with flexibility in location.
• Global team collaboration with opportunities to learn from top talent worldwide.
• Dedicated focus on employee well-being with fitness and mental health support.
• Generous time-off policies and career growth acceleration through diverse projects.
• Commitment to diversity and equal opportunity employment.