Senior AI Data Scientist - LLM Systems & GenAI Platform

WeAreTechWomen; Welwyn Garden City; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading retail company is looking for a Senior AI Data Scientist to join their innovative Data Science team. This role emphasizes the end-to-end ownership of LLM systems, from rapid prototyping to production. The ideal candidate should possess practical experience in applying LLMs and be skilled in evaluating data pipelines. The company values diversity and inclusion, fostering a collaborative environment that balances work-life needs. Offering a hybrid working pattern, they aim to create a workplace where every individual can thrive.

Benefits

Flexible working patterns

Continuous learning opportunities

Inclusive workplace culture

Qualifications

• Experience managing context windows effectively for LLMs.
• Proficient in selecting appropriate models for tasks.
• Skilled in implementing safety guardrails and alignment techniques.
• History of decomposing complex tasks into model-friendly components.
• Capable of explaining complex concepts to non-technical audiences.

Responsibilities

• Design and ship production-grade LLM systems.
• Create prototypes and transition them into production.
• Solve cross-cutting pain points with build-vs-buy decisions.
• Foster a culture of learning and promote best practices in AI.
• Collaborate across various disciplines including software engineering and UX design.

Skills

Practical experience applying LLMs

Understanding LLM architectures

Evaluating data pipelines

AI-specific evaluation methods

Solution-oriented problem-solving

Effective communication

Guiding junior team members

Influencing decision-making

Job description

A leading retail company is looking for a Senior AI Data Scientist to join their innovative Data Science team. This role emphasizes the end-to-end ownership of LLM systems, from rapid prototyping to production. The ideal candidate should possess practical experience in applying LLMs and be skilled in evaluating data pipelines. The company values diversity and inclusion, fostering a collaborative environment that balances work-life needs. Offering a hybrid working pattern, they aim to create a workplace where every individual can thrive.