14 of 14 Remote/Hybrid NumPy Jobs in London

technical audiences, advocating for interpretability and audit best practices.Experience working with structured and unstructured datasets.Proficient in Python, leveraging key data science libraries (NumPy, Pandas, scikit-learn) and applying object-oriented programming principles to develop efficient, scalable solutionsHands-on experience experimenting with Generative AI (e.g. LangChain, Hugging Face, LlamaIndex).Experience working ...

experience, and a passion for building scalable, high-quality ML and data solutions in production environments. Essential Experience Strong programming skills in Python (Pandas, NumPy, etc.). Proficiency in SQL for data querying and transformation. Hands-on experience with Machine Learning techniques and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). ...

analysis/stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required.Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.).Proven experience developing, refining, and monitoring NLP models.Familiarity with database management tools and techniques (e.g., SQL, Selenium ...

training of AI/ML solutionsSkills required: • Overall 8+ years of experience.• 5+ Years of strong Python coding skills and python libraries (like NumPy, Pandas etc.)• 3 Years of solid understanding of generative AI models (GANs, VAEs, LLMs) and their underlying principles• Strong experience in using Neo4J, Mongo DB• Experience ...

semi-structured, or unstructured data, especially large-scale text or content datasets. Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib. The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking ...

structured, semi-structured, or unstructured data, especially large-scale text or content datasets.Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib.The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking, problem ...

roles, not just in theory We're looking for: Strong hands-on AI/ML and Data Science expertise (Python essential — NumPy, Pandas, Scikit-learn; exposure to PyTorch, TensorFlow, LangGraph or similar a plus) Proven experience delivering technical training to a mix of technical and non-technical audiences, virtually ...

wider team, learn from and contribute to the body of knowledge.Key SkillsExperience using Python and SQL.Strong proficiency with data manipulation including packages like NumPy, Pandas.Knowledge of machine learning techniques and their respective pros and cons.Confident communicator and contributes effectively within a team environment.Self driven and willing to lead on projects ...

architectures, plus familiarity with MCP and A2A communication frameworks.Proficiency in Python (or equivalent programming language) and associated common data science libraries (such as NumPy, Pandas, SciPy etc for Python).Proficient in using AI tools and platforms for model development, deployment, and monitoring (such as Github Co-pilot, Databricks, MLFlow ...

with the autonomy to resolve ambiguous, high-impact challenges and continuously improve data processes and documentation.Bonus: Python for deeper analysis and modelling (pandas/numpy, simple ML); experience tying product usage to commercial outcomes; experience measuring AI/LLM products.Our benefitsWe’re a scaling start up, and we enjoy sharing ...

scripting • A commitment to writing testable, maintainable code. • Advanced to expert level python development skills, including use of data analysis packages such as Numpy, Pandas, etc. • Experience with SQL and/or other database technologies • Knowledge of modern technologies such as AWS, Airflow, Docker, GitLab and Redis • Ideally working with ...

analysis, and visualisation.Strong knowledge of linear algebra, calculus and statistics.Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas.A passion for applying ML research to real world problems.Depending on your experience: project supervision, leadership, or management.Nice to havePhD in machine learning ...

fine-tuning Strong knowledge of linear algebra, calculus and statistics.Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas.Depending on your experience: project supervision, leadership, or management.Strong knowledge of LLM landscape today, and likely developments for the near futureExperience working with ...

insurance and/or options pricing or financial services • Knowledge of extreme statistics • Proficiency in Python and associated Data Science libraries and tools (pandas, numpy, seaborn, matplotlib, scipy) My client is based in the City of London but this is a Remote Role. ...