data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, ComputationalLinguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯
london (city of london), south east england, united kingdom
Scientific Beta
data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, ComputationalLinguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯
data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, ComputationalLinguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯
and advancements in prompt engineering, LLMs, and GenAI. Contribute to internal documentation, best practices, and knowledge sharing initiatives. Required Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Linguistics, or a related field. Commercial years of experience in AI/ML, with at least 1 year focused on prompt engineering or working with LLMs. Strong understanding of NLP … or reinforcement learning from human feedback (RLHF). Familiarity with multi-modal AI systems (e.g., text-to-image, speech-to-text). Background in UX writing, technical writing, or computational linguistics. Contributions to open-source GenAI projects or publications in AI/ML conferences. Does this sound like your next career move? Apply today! Working with Certain Advantage We More ❯
in prompt engineering, LLMs, and GenAI. Contribute to internal documentation, best practices, and knowledge sharing initiatives. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field. Commercial years of experience in AI/ML, with at least 1 year focused on prompt engineering or working with LLMs. Strong understanding of NLP … or reinforcement learning from human feedback (RLHF). Familiarity with multi-modal AI systems (e.g., text-to-image, speech-to-text). Background in UX writing, technical writing, or computational linguistics. Contributions to open-source GenAI projects or publications in AI/ML conferences. Does this sound like your next career move? Apply today!Working with Certain AdvantageWe go More ❯