151 to 175 of 194 NumPy Jobs in the UK

quantitative field (Master's with significant pricing optimisation experience considered) Strong foundation in statistical modelling, optimisation, and machine learning fundamentals Fluent in Python and data science tools (e.g., Pandas, NumPy) Prior experience in revenue management or pricing is a plus, but not required Interview Process Intro chat Take-home exercise and presentation Sign off chat More ❯

key product and business metrics The Person Experience in a data/product/business analyst role (ideally in tech or SaaS) Strong SQL and Python skills (e.g. Pandas, NumPy) and confidence handling large, complex datasets Proficiency with BI tools (e.g. Tableau, Looker, Metabase) Excellent communication and data storytelling skills Comfortable working cross-functionally with technical and commercial teams A More ❯

key product and business metrics The Person Experience in a data/product/business analyst role (ideally in Product or SaaS) Strong SQL and Python skills (e.g. Pandas, NumPy) and confidence handling large, complex datasets Proficiency with BI tools (e.g. Tableau, Looker, Metabase) Excellent communication and data storytelling skills Comfortable working cross-functionally with technical and commercial teams A More ❯

experience in a hands-on data science or advanced analytics role. Proven experience with Microsoft Fabricand Power BIin a production environment. Strong skills in Python (e.g. Pandas, scikit-learn, NumPy) or R. Proficient in SQL and working with relational databases. Experience building and deploying statistical or machine learning models. Experience working in cloud environments, preferably Azure. At this point we More ❯

learning models to production Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or Engineering - or equivalent Proficiency in Python and relevant data science libraries (NumPy, pandas, scikit-learn etc.) Experience with SQL, Power BI, Git & GitHub Strong knowledge of Machine Learning Algorithms and respective theory Ability to work within a team, collaborating effectively with colleagues More ❯

experience in some of the following areas: Strong hands-on experience integrating AI/ML APIs into production systems Strong Python skills + comfort with data science libraries (Pandas, NumPy, etc.) Experience with voice-related AI (STT, TTS, or Voice AI) Deep understanding of latency vs accuracy vs cost trade-offs Familiar with prompt engineering and RAG techniques Background in More ❯

techniques and SoC-based modular designs Understanding of firmware development processes, from simulation and testbench creation through to embedded implementation Familiarity with tools/libraries such as MATLAB, Python (NumPy/SciPy), GNU Radio or TensorFlow for DSP/ML integration Comfortable working in Linux and/or Windows development environments Why this role? Be part of a company trusted More ❯

techniques and SoC-based modular designs Understanding of firmware development processes, from simulation and testbench creation through to embedded implementation Familiarity with tools/libraries such as MATLAB, Python (NumPy/SciPy), GNU Radio or TensorFlow for DSP/ML integration Comfortable working in Linux and/or Windows development environments Why this role? Be part of a company trusted More ❯

led multiple projects on MMM analytics Experience in pricing and promotion analytics is a plus Must have experience with Databricks Implemented Bayesian regression on python. Exposure to libraries like numpy, pandas, sklearn, pymc3 Hands on experience in PowerPoint/Excel is a must Strong logical, analytical, and problem-solving skills Adept at report writing and presenting findings Excellent verbal and More ❯

analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python skills, including relevant libraries for data analysis and machine learning (e.g., sklearn, Pandas, NumPy) and at least one deep learning framework Excellent communication skills through written reports and presentations Organisational skills (e.g., planning, time management) Strong problem-solving and analytical skills High attention to More ❯

experience in a senior data science or quantitative academic position Strong Python programming skills, with the ability to write production-grade code Proficiency in core data science libraries (e.g. NumPy, Pandas, Scikit-learn) and familiarity with at least one deep learning framework (e.g. TensorFlow, PyTorch) A solid understanding of the full range of data science techniques, including supervised and unsupervised More ❯

different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) and at least one deep learning framework Excellent communication skills through written reports and presentations Organisational skills (e.g. planning, time management) Strong problem-solving and analytical skills High attention to More ❯

pushing the boundaries You may be a good fit if you have: Strong software engineering skills Proficiency in Python and have some experience with ML-related code (e.g., pytorch, numpy, etc.) Experience with LLMs and agentic frameworks Experience with post-training LLMs (SFT, PEFT, or RL ) Experience with building synthetic data generation pipelines If some of the above doesn't More ❯

consider exceptional candidates with a proven record of success in online data science competitions, such as Kaggle Strong object-oriented programming skills and experience working with Python, PyTorch and NumPy are desirable Experience in one or more advanced optimisation methods, modern ML techniques, HPC, profiling, model inference; you dont need to have all of the above Excellent ML reasoning and More ❯

in a data science or analytics role, preferably within the AI/ML industry. Expert-level proficiency in Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks More ❯

in a data science or analytics role, preferably within the AI/ML industry. Expert-level proficiency in Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks More ❯

such as distributions, hypothesis testing and regression. •Experience of or a willingness to learn coding languages, particularly sql and Python (including core data analysis libraries such as Pandas and NumPy). •Experience creating engaging data narratives and visualisations to tell a story •A curiosity around data, and desire to understand its completeness, quality, usability, and applicability to a business or More ❯

with a focus on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python and an experience with the standard Python data science stack (NumPy, pandas, Scikit-learn etc.) The ability to conduct and oversee complex technical research projects. A passion for leading and developing technical teams; adopting a caring attitude towards the personal and More ❯

statistical techniques, for example: supervised/unsupervised machine learning, model cross-validation, Bayesian inference, and time-series analysis An excellent proficiency of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch) Demonstrable experience enabling impactful change with AI within a financial services institution. Coupling that with prior experience More ❯

with a focus on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python and an experience with the standard Python data science stack (NumPy, pandas, Scikit-learn etc.) The ability to conduct and oversee complex technical research projects. A passion for leading and developing technical teams; adopting a caring attitude towards the personal and More ❯

have practical experience with statistical modelling or machine learning techniques (regression analysis, clustering, classification, predictive modelling) through coursework, internships, or independent projects You are proficient in Python (especially pandas, numpy, scikit-learn, or similar libraries) and comfortable performing data analysis using Jupyter notebooks or similar tools You are comfortable writing clear, efficient SQL for extracting, cleaning, and preparing datasets, demonstrated More ❯

in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience (or strong interest) in GPU-powered model development (e.g. using PyTorch, TensorFlow More ❯

in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience (or strong interest) in GPU-powered model development (e.g. using PyTorch, TensorFlow More ❯

You Masters, PhD, or equivalent in Operations Research, Data Science, Mathematics, Statistics, Computer Science, Physics, or related technical fieldpreferred A professional with 5+ years experience with Python. Knowledge of NumPy, Pandas, Scikit-learn, and Networkx is an extra bonus! Experienced working directly with external customers (ideally in a consulting role) to identifyrequirements and consult on solutions to complex business problems More ❯

Generative AI to enhance traditional natural language processing tasks, prompt engineering, integrating LLMs into machine learning workflows Strong Python skills and familiarity with libraries such as scikit-learn, pandas, NumPy, PyTorch or TensorFlow Advanced SQL skills and experience working with complex, high-volume datasets Practical experience with MLOps tools and practices for deploying and maintaining models Experience leading projects and More ❯