Senior AI Engineer - Recommendation and Personalisation
Tasks
- Build feature pipelines and inference systems
- Build generative AI applications for financial and legal workflows
- Deploy and deliver machine learning models to production
- Design and analyze A/B tests
- Design and improve recommendation systems
- Develop low latency ranking services and monitoring
- Drive end to end model development lifecycle
- Engineer features for machine learning models
- Implement learning to rank approaches
- Instrument product analytics for learning systems
- Model user behavior and intent
Perks/Benefits
- Equity
- Group life assurance
- Hybrid working
- Income protection
- Paid sabbatical
- Paid sick leave
- Paid training
- Pension
- Private medical insurance
- Professional development budget
Skills/Tech-stack
A/B | A/B Testing | AWS | B testing | Batch inference | Behavioural Machine Learning | Boosted Trees | Collaborative Filtering | Deduplication | Diversity | Embeddings | Entity Resolution | Experimentation | Feature Engineering | Freshness | Generative AI | Gradient Boosted Trees | Graph Ranking | Knowledge graphs | Language Processing | Learning-to-Rank | Logistic Regression | Low Latency | Low-Latency Systems | Machine Learning | Natural Language | Natural Language Processing | Novelty | Online Inference | Python | Ranking | Recommendation Systems | Relevance optimization | Reranking | Retrieval systems | Semantic similarity | Sequence Modeling | Session Based Learning | Tabular Machine Learning | User Modeling
Education
N/A
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