101 to 123 of 123 NumPy Jobs in the UK

communicate findings in a clear, concise manner. Collaborate with the data engineering team to maintain good data hygiene and integration. Essential Requirements Proficiency in Python for data analysis (pandas, NumPy, matplotlib/seaborn). Solid foundation in statistics: distributions, hypothesis testing, confidence intervals, regression. Experience working with structured datasets Ability to produce clear, well-commented code and visual outputs (e.g. More ❯

expertise to drive results. What you'll bring Minimum bachelors degree in a STEM subject at a reputable academic institution. 3+ years professional experience in Python including use of NumPy, Pandas and other scientific libraries. Experience working in a Linux environment. A desire to work closely with Researchers and accelerate their research. The ability to self-manage, self-motivate, and More ❯

expertise to drive results. What you'll bring Minimum bachelors degree in a STEM subject at a reputable academic institution. 3+ years professional experience in Python including use of NumPy, Pandas and other scientific libraries. Experience working in a Linux environment. A desire to work closely with Researchers and accelerate their research. The ability to self-manage, self-motivate, and More ❯

expertise to drive results. What you'll bring Minimum bachelors degree in a STEM subject at a reputable academic institution. 3+ years professional experience in Python including use of NumPy, Pandas and other scientific libraries. Experience working in a Linux environment. A desire to work closely with Researchers and accelerate their research. The ability to self-manage, self-motivate, and More ❯

expertise to drive results. What you'll bring Minimum bachelors degree in a STEM subject at a reputable academic institution. 3+ years professional experience in Python including use of NumPy, Pandas and other scientific libraries. Experience working in a Linux environment. A desire to work closely with Researchers and accelerate their research. The ability to self-manage, self-motivate, and More ❯

expertise to drive results. What you'll bring Minimum bachelors degree in a STEM subject at a reputable academic institution. 3+ years professional experience in Python including use of NumPy, Pandas and other scientific libraries. Experience working in a Linux environment. A desire to work closely with Researchers and accelerate their research. The ability to self-manage, self-motivate, and More ❯

ICLR, CVPR, ECCV, IEEE TPAMI, AAAI). Experience in Linux environments. Proficiency in programming languages such as Python, Java, or C++. Experience with machine learning libraries like PyTorch, SciKit, NumPy, etc. Excellent communication skills, teamwork abilities, and a results-oriented attitude. Strong problem-solving and debugging skills. Desirable Skills: Expertise in Image/Video generation, PEFT-LoRA, Diffusion/Autoregressive More ❯

Youll Bring 3+ years experience in Generative AI experience Proven experience with language-based Generative AI eg. LangChain, LangSmith, LangGraph, RAG, Proficiency in Python, data science libraries such as numpy, Pandas, scikit-learn Experienced in LLM frameworks such as LangChain Ability to build and create prototypes in a fast-paced environment BSc/MSc in Computer Science, Physics, Mathematics, Engineering More ❯

sport, gaming, or similar domains with forecasting needs. 2+ years working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational databases. More ❯

e.g., ICML, NeurIPS, ICLR, EMNLP, CVPR, ECCV, IEEE TPAMI, AAAI). Proficient in programming languages like Python, Java, or C++, and experienced with Machine Learning libraries (e.g., PyTorch, SciKit, NumPy). Comfortable working in Linux environments and collaborating in a hybrid team setup. Exceptional communication, teamwork, and problem-solving skills. Why Join Us? Be part of a team that’s More ❯

Youll Bring 3+ years experience in Generative AI experience Proven experience with language-based Generative AI eg. LangChain, LangSmith, LangGraph, RAG, Proficiency in Python, data science libraries such as numpy, Pandas, scikit-learn Experienced in LLM frameworks such as LangChain Strong client-facing consulting or B2B experience Ability to build and create prototypes in a fast-paced environment BSc/ More ❯

design and implementation Proficiency in C and/or C++ programming, with experience of Linux environments Exposure to Rust or Go (beneficial) Knowledge of modelling tools (e.g. Mathworks, MATLAB, NumPy) Understanding of VoIP and network protocols Eligible for BPPS (Basic security clearance) Why this role? Work on essential systems trusted by civilian and defence aviation worldwide Be part of a More ❯

design and implementation Proficiency in C and/or C++ programming, with experience of Linux environments Exposure to Rust or Go (beneficial) Knowledge of modelling tools (e.g. Mathworks, MATLAB, NumPy) Understanding of VoIP and network protocols Eligible for BPPS (Basic security clearance) Why this role? Work on essential systems trusted by civilian and defence aviation worldwide Be part of a 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 ❯

Scientist, your background will include: 3+ years industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression More ❯

ideas with the wider team, learn from and contribute to the body of knowledge. Key Skills Experience 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/ 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 don't need to have all of the above Excellent ML reasoning More ❯

Science with reasonable industry experience, or an MS with significant industry or research experience in the field • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals • Experience with big data More ❯

LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep learning methodsExtensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goalsExperience with big data and More ❯

scalableanalyticalsolutions,providingactionableinsights,andsupportinginnovationinadata-firstenvironment. KeyResponsibilities: Conductdetailedtechnicalanalysisofstructuredandunstructureddatatoassessstructure,quality,andusability. Translatecomplexbusinessrequirementsintorobustdatasolutionsandmodellingframeworks. Collaboratewithinternalstakeholdersandclientstogatherrequirementsanddeliverhigh-impactdatainsights. Ownandmaintainbusinessandtechnicaldocumentation,ensuringclarityacrossthedeliverylifecycle. DriveAgilewaysofworking-contributingtobacklogrefinement,definingoutcomes,andsupportinguseracceptancetesting. Supportdeliveryofdataproductsthroughcollaborativeworkwithengineeringandarchitectureteams. EssentialExperience&Skills: ProvenbackgroundinDataAnalysis,withapprox.4+yearsinaseniororequivalentrole. Strongexperiencein SQL (writingandoptimisingcomplexqueries). Proficiencyin Python (includinglibrarieslikePandas,NumPy,SQLAlchemy). Experienceworkingwith largedatasets ,andadvanceddatamodellingtechniques. Abilitytoengagewithstakeholdersandtranslatetheirneedsintoactionabledatasolutions. Solidunderstandingof datastructures , schemas ,and normalisation principles. Skilledincreatingimpactful datavisualisations anddashboards. Familiaritywith dataqualityandgovernanceprinciples . Desirable(ortrainable)Experience: Toolssuchas PowerBI , Alteryx , AzureSynapse ,or AzureFabric . Datamodellingmethodologiessuchas 3NF More ❯

analyze large datasets and derive actionable insights for equity portfolios. Build and maintain data pipelines, ensuring data accuracy, reliability, and scalability. Use Python (and related libraries such as Pandas, NumPy, etc.) to develop and automate tasks, backtest strategies, and optimize performance. Work with portfolio managers to create tools for portfolio construction, risk analysis, and scenario modeling. Ensure seamless integration of … Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related field. Strong proficiency in Python, with a deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis. Solid understanding of financial markets, particularly equities, and portfolio management concepts. Knowledge of databases (SQL, NoSQL) and experience in working with large datasets. More ❯

analyze large datasets and derive actionable insights for equity portfolios. Build and maintain data pipelines, ensuring data accuracy, reliability, and scalability. Use Python (and related libraries such as Pandas, NumPy, etc.) to develop and automate tasks, backtest strategies, and optimize performance. Work with portfolio managers to create tools for portfolio construction, risk analysis, and scenario modeling. Ensure seamless integration of … Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related field. Strong proficiency in Python, with a deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis. Solid understanding of financial markets, particularly equities, and portfolio management concepts. Knowledge of databases (SQL, NoSQL) and experience in working with large datasets. More ❯

site in Cambridge; 2 days a week working from home. Candidates must have at least 5 years Python development experience, working on highly numerical software with associated libraries (i.e. NumPy, SciPy etc). Previous experience working on instrumentation or control-based-software working with large amounts of sensor data is essential. Ideally candidates will also have a physics background that … apply to their engineering. Market rates. Please send an up-to-date CV if interested for more details. python developer, software engineer, software developer, hardware engineer, mathematics, physics, physicist, numpy, scipy, control, systems egineer, instrumentation, software engineering g2 Recruitment are committed to equality of opportunity for all applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual More ❯