26 to 50 of 267 Mathematics Jobs in the North of England

Physics or engineering simulations with fully specified parameters This role is about precision, determinism, and verification. Ideal Background MSc or PhD in: Physics Applied Mathematics Engineering Scientific Computing 5+ years of computational or numerical problem-solving experience Strong Python skills (NumPy, SciPy, Pandas; sklearn where relevant) Experience validating numerical ...

Physics or engineering simulations with fully specified parameters This role is about precision, determinism, and verification. Ideal Background MSc or PhD in: Physics Applied Mathematics Engineering Scientific Computing 5+ years of computational or numerical problem-solving experience Strong Python skills (NumPy, SciPy, Pandas; sklearn where relevant) Experience validating numerical ...

Physics or engineering simulations with fully specified parameters This role is about precision, determinism, and verification. Ideal Background MSc or PhD in: Physics Applied Mathematics Engineering Scientific Computing 5+ years of computational or numerical problem-solving experience Strong Python skills (NumPy, SciPy, Pandas; sklearn where relevant) Experience validating numerical ...

Physics or engineering simulations with fully specified parameters This role is about precision, determinism, and verification. Ideal Background MSc or PhD in: Physics Applied Mathematics Engineering Scientific Computing 5+ years of computational or numerical problem-solving experience Strong Python skills (NumPy, SciPy, Pandas; sklearn where relevant) Experience validating numerical ...

Physics or engineering simulations with fully specified parameters This role is about precision, determinism, and verification. Ideal Background MSc or PhD in: Physics Applied Mathematics Engineering Scientific Computing 5+ years of computational or numerical problem-solving experience Strong Python skills (NumPy, SciPy, Pandas; sklearn where relevant) Experience validating numerical ...

Physics or engineering simulations with fully specified parameters This role is about precision, determinism, and verification. Ideal Background MSc or PhD in: Physics Applied Mathematics Engineering Scientific Computing 5+ years of computational or numerical problem-solving experience Strong Python skills (NumPy, SciPy, Pandas; sklearn where relevant) Experience validating numerical ...

Physics or engineering simulations with fully specified parameters This role is about precision, determinism, and verification. Ideal Background MSc or PhD in: Physics Applied Mathematics Engineering Scientific Computing 5+ years of computational or numerical problem-solving experience Strong Python skills (NumPy, SciPy, Pandas; sklearn where relevant) Experience validating numerical ...

Physics or engineering simulations with fully specified parameters This role is about precision, determinism, and verification. Ideal Background MSc or PhD in: Physics Applied Mathematics Engineering Scientific Computing 5+ years of computational or numerical problem-solving experience Strong Python skills (NumPy, SciPy, Pandas; sklearn where relevant) Experience validating numerical ...

Physics or engineering simulations with fully specified parameters This role is about precision, determinism, and verification. Ideal Background MSc or PhD in: Physics Applied Mathematics Engineering Scientific Computing 5+ years of computational or numerical problem-solving experience Strong Python skills (NumPy, SciPy, Pandas; sklearn where relevant) Experience validating numerical ...

Physics or engineering simulations with fully specified parameters This role is about precision, determinism, and verification. Ideal Background MSc or PhD in: Physics Applied Mathematics Engineering Scientific Computing 5+ years of computational or numerical problem-solving experience Strong Python skills (NumPy, SciPy, Pandas; sklearn where relevant) Experience validating numerical ...

. 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 ...