4 of 4 Gradient Boosting Jobs in the South East

Data Scientist

Hiring Organisation
Sagacity
Location
London, South East, England, United Kingdom
Employment Type
Full-Time
Salary
Competitive salary
quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command ...

Senior Data Scientist

Hiring Organisation
Harnham - Data & Analytics Recruitment
Location
London, South East, England, United Kingdom
Employment Type
Full-Time
Salary
£60,000 - £75,000 per annum
community. YOUR SKILLS AND EXPERIENCE Strong experience in predictive modelling using Python and SQL. Hands-on experience with modern machine learning techniques such as gradient boosting methods. Proven ability to work with large-scale, complex datasets and translate ambiguity into clear analytical approaches. Experience deploying models into production ...

Senior Data Scientist (12 Month FTC)

Hiring Organisation
Harnham - Data & Analytics Recruitment
Location
London, South East, England, United Kingdom
Employment Type
Temporary
Salary
£75,000 - £90,000 per annum
doing Build and deploy LLM-based applications , including RAG systems, chatbots, and agentic workflows Apply traditional ML techniques (e.g. regression, classification, gradient boosting) where appropriate Design and deliver end-to-end AI systems from discovery to production Develop agentic workflows across areas like underwriting and claims Work closely ...

AI Engineer (FTC)

Hiring Organisation
Harnham - Data & Analytics Recruitment
Location
London, South East, England, United Kingdom
Employment Type
Full-Time
Salary
£70,000 - £90,000 per annum
unstructured data use cases. Building and deploying LLM based solutions including summarisation and agentic workflows. Delivering traditional machine learning models using techniques such as gradient boosting. Working closely with product, engineering, and business stakeholders to define requirements and trade offs. Deploying models using cloud infrastructure, CI/CD pipelines ...