76 to 100 of 199 NumPy Jobs in England

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 ...

translate business problems into measurable analytical outcomes.* Experience taking models from development into production environments.### Technical Skills* Python and associated data science ecosystem (Pandas, NumPy, Scikit-learn).* Machine learning techniques including classification, regression, clustering and anomaly detection.* Experience with Generative AI, LLMs, RAG architectures or agent-based AI solutions. ...

large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering,fine‐tuning/customization,and embedding‐based retrieval Intermediate to expert proficiency in Python (NumPy, Pandas, SpaCy, scikit‐learn, PyTorch/TF 2, Hugging Face Transformers). Understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs ...

with any large language models (e.g., OpenAI, Anthropic, Llama), prompt engineering, fine-tuning/customization, and embedding-based retrievalIntermediate to expert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch/TF 2, Hugging Face Transformers).Understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs ...

influence stakeholders as well as present complex findings clearly to both technical and non-technical audiencesStrong coding skills in Python (e.g. OOP, PySpark, Pandas, NumPy, etc) and experience with SQLStrong statistical & analytical skills (e.g. sampling methods), attention to detail, and a proactive empirical mindsetFamiliarity with data modelling & modern data tech ...

modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn, etc. Strong software engineering practices including version control, code review, software testing methodologies, and continuous integration; experience with IEC 62304 is particularly desirable ...

improve reliability and speed of accessing our wide data ecosystem. We run a variety of time consuming ETL tasks using libraries such as NumPy, Scikit-learn, Pandas, and view/tables from a variety of relational databases. The aim is to integrate and transition all to a single data warehouse ...

scale.Proven ability to translate business problems into measurable analytical outcomes.Experience taking models from development into production environments.Technical SkillsPython and associated data science ecosystem (Pandas, NumPy, Scikit-learn).Machine learning techniques including classification, regression, clustering and anomaly detection.Experience with Generative AI, LLMs, RAG architectures or agent-based AI solutions.SQL and large ...

standards for data extraction, complex aggregation, and resilient exception management, contributing to their ongoing improvement. Statistical Analysis & Quality Apply advanced, critical quantitative methods (Pandas, NumPy) to process raw data and derive actionable insights. Implement automated frameworks to ensure enterprise-grade data quality and continuous validation. Strategic Reporting Go beyond basic ...

emerging AI technologies and identify opportunities to improve business efficiency through intelligent automation.Skills & ExperienceStrong Python programming skills with experience using libraries such as Pandas, NumPy, Scikit-learn, XGBoost or LightGBM, and Plotly, Rust, Typescript, Python or Matplotlib.Experience developing machine learning models for prediction, optimisation or classification.Strong SQL skills and experience ...

problems. Experience in managing data and implementing data science processes. Experience in translating customer requirements intotechnical requirements and development objectives. Pythonexpertisecovering standard data sciencelibraries (NumPy, pandas, matplotlib, Scikit-learn,PyTorch, etc),web frameworks (Flask or FastAPI) and visualisation(Dash,Plotly,&Streamlit). Proficient inSQL. Working with unstructured data Building customer ...

degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline.Strong proficiency in Python or R, including libraries such as pandas, scikit‐learn, NumPy, TensorFlow, or PyTorch.Solid understanding of statistical analysis, hypothesis testing, and experimental design.Hands‐on experience applying a range of supervised and unsupervised machine learning techniques (e.g. ...

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 ...

machine learning techniques, focused on timeseries data and text Strong programming skills in Python and experience with standard data science libraries such as pandas, numpy, scikit-learn, tensorflow, pytorch Experience working with data systems, structured and unstructured databases such as ClickHouse or MongoDB Familiarity with APIs, pipelines, kubernetes and linux ...

you...Have an advanced degree in Computer Science, Mathematics, Statistics or a similar quantitative disciplineAre proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.)Have experience productionising machine learning models and/or AI solutionsAre an expert in one of predictive modelling, classification, regression, optimisation ...

secure use of data and AIRequired Skills:Experience in data science, machine learning, or applied analyticsStrong proficiency in Python and common ML libraries (pandas, NumPy, scikit‐learn, TensorFlow, PyTorch)Experience designing, training, and evaluating machine‐learning modelsSolid understanding of statistical methods, predictive modelling, and experimental designExperience working with large ...

improve reliability and speed of accessing our wide data ecosystem. We run a variety of time consuming ETL tasks using libraries such as (NumPy, Scikit-learn, Pandas), and view/tables from a variety of relational databases. The aim is to integrate and transition all to a single data warehouse ...

architecture deployed at scale on Kubernetes. The rest of the tech stack includes Django REST Framework, FastAPI, PostgreSQL, AWS, React.js, Docker, Redis, Celery, Pandas, NumPy, Git, Jenkins, and Elasticsearch. We put significant emphasis on design patterns, code readability, automated testing, maintainability, and extensibility. As Software Architect ...

experience with data, including querying, aggregation, analysis, and visualization* Strong competencies in Python for data analysis using the python data science libraries (Pandas/NumPy/SciPy/Scikit-learn).* Strong SQL skills for data retrieval, basic analysis, and data cleansing.* Strong knowledge and application of object-oriented design ...

apply LLMs Thrive in a dynamic, iterative environment No industry knowledge required Technical skillset - Must: Python common data science/ML libraries (e.g., pandas, NumPy, scikit-learn, XGBoost, PyTorch, Hugging Face) experiment design evaluation metrics Nice to have: LLM fine-tuning prompt engineering SQL/PostgreSQL #J-18808-Ljbffr ...

tech stack include Django Erlang REST Framework, PostgreSQL, PostGIS, AWS, ES6, React.js, Alt.js, Node.js, Express, Amazon Redshift, Kubernetes, Docker, Redis, Celery, Pandas, Numpy, Scrapy, Git with Zenhub, Jenkins, Elasticsearch, Logstash and lots of raw SQL for analytics.Python Developers Must Ideally Have: Computer Science or Engineering degree. Previous commercial experience ...

loop review.Strong programming and data skills, including Python, SQL, and tools/libraries used in agentic development like langgraph, langchain, Pydantic models, NumPy, FastAPI/MCP, etc.Ability to work with APIs, JSON, MCPs, Git or version-controlled artifacts, and lightweight automation or prototyping workflows.Excellent written and verbal communication skills, with ...

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 ...

lead technical discussions, articulate design decisions effectively, and collaborate with cross‐functional teams. Highly Desirable Scientific Computing: Familiarity with scientific libraries like PyTorch, NumPy, SciPy, and visualisation tools (Matplotlib, Plotly, etc.). CFD Understanding: Any knowledge of aerodynamic design principles or experience with CFD software is a significant plus. ...

ForProven experience leading the delivery of data science or AI projects from concept to production.Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers).Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP).Deep expertise in MLOps principles, scalable model deployment, model governance ...