4 of 4 Statistics Jobs in South London

times per week) to review experiments, debug models, and exchange technical insights. Qualifications Must-Have Strong academic or professional background in Applied Mathematics, Statistics, Computer Science, Physics, or Quantitative Finance. Expertise in probability, optimisation, and numerical analysis. Proficiency in one or more programming languages commonly used for quantitative work (Python ...

Proven Experience in LLM fine-tuning and deployment in production environments. Strong understanding of FX and interest rate products. Solid quantitative background, including probability, statistics, and financial modelling. Proficiency in Python (preferred), C++, or C#, with Experience writing production-grade code. Familiarity with data engineering and model integration workflows. Excellent ...

least two of the following is required: AWS Bedrock/Sagemaker, Google Vertex AI, OpenAI and Azure ML is required An understanding of underlying statistics, machine learning and data science, data engineering and big data concepts is required An understanding of the process and data complexities and prerequisites, and success ...

container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale You are comfortable with core ML concepts, including probability, statistics, and common learning techniques. You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders. You thrive in a fast ...