Not specified; annual bonus available when satalia...
On-site
5+ years shipping ml models to production
Hands-on experience with llm fine-tuning lora rlhf dpo
Strong software engineering habits ci/cd version control
The role involves leading technical projects to build enterprise-grade AI systems for WPP's FTSE 100 client base using terabyte-scale multimodal datasets
Job Summary
The role involves leading technical projects to build enterprise-grade AI systems for WPP's FTSE 100 client base using terabyte-scale multimodal datasets.
Candidates will be accountable for the full lifecycle of model development from data curation and training to production deployment and live traffic monitoring.
The company offers a truly flexible remote working culture with enhanced pension, private healthcare, and generous leave policies.
Matching Summary
The role involves leading technical projects to build enterprise-grade AI systems for WPP's FTSE 100 client base using terabyte-scale multimodal datasets.
Salary
Not specified; Annual bonus available when Satalia performs well; Benefits include enhanced pension, life assurance, income protection, and private healthcare
Skills & Requirements
Must-have
5+ years shipping ML models to production
Hands-on experience with LLM fine-tuning LoRA RLHF DPO
Strong software engineering habits CI/CD version control
Experience building agentic AI systems or RAG pipelines
Deep expertise in NLP LLMs computer vision or causal inference
Nice-to-have
Experience with multimodal models
Background in marketing technology ad tech or media mix modelling
Publications at top venues like NeurIPS ICML ACL CVPR
Meaningful open-source contributions
Comfort with ambiguity and undefined problem spaces
Key Requirements
5+ years of experience shipping ML models to production
Demonstrable expertise in NLP, LLMs, computer vision, recommender systems, or causal inference
Proven track record handling data drift and silent failures in production environments