51 to 75 of 571 Mathematics Jobs in the UK excluding London

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...

. Familiarity with LLM evaluation frameworks such as RAGAS or TruLens. Experience fine-tuning large models or working with reinforcement learning techniques. Background in mathematics, statistics, or theoretical computer science. Understanding of data governance, bias mitigation, or model interpretability. Why Join Work on real, production-grade GenAI systems with clear ...