76 to 100 of 139 NumPy Jobs in England

sales and project management data in tools like Salesforce or similar. Proficient in python’s various data transformation, visualisation and statistics libraries i.e. pandas, numpy , scipy and plotly Experience working with payments or transactions data. Additional Information PROCESS 1) Screening call with recruiter - 30 mins 2) Take home Case Study ...

data analyst or similar role. Strong SQL skills, including complex joins, aggregations and window functions. Proficiency in Python for data analysis (e.g., pandas, NumPy). Hands-on experience with at least one cloud data platform: Databricks, AWS or Snowflake. Strong analytical and problem-solving skills, with close attention to detail. ...

future of learning by contributing insights to thedesign and development of cutting-edge courses. With strong technical expertisein GenAI, machine learning, Python, and the NumPy ecosystem, and desirableexperience in AI frameworks and cloud platforms, you’ll stay at the forefrontof industry trends through ongoing professional development and a passion foreducation ...

databases like PostgreSQL, and familiarity with cloud platforms such as AWS and Azure. Ideal candidates will have strong skills in Python libraries including NumPy and Pandas, along with experience in DevOps practices using CI/CD pipelines. This position offers a hybrid work environment based in Greater London. #J ...

Knowledge Strong programming skills in Python (mandatory), with experience in C++, Java, or similar languages. Proficiency in data handling and analysis using Pandas, NumPy, and SQL. Familiarity with cloud-based solutions and version control (Git). Solid understanding of risk modelling, margin methodologies, and derivatives pricing. Knowledge of regulatory frameworks ...

self-directed way. Nice to have Cloud platform experience (AWS, GCP, Azure) DevOps: CI/CD, containers, infrastructure as code Python, particularly with NumPy, PyTorch, or Transformers Any exposure to serving or scaling ML models What we offer Ownership of key infrastructure from day one. Meaningful equity in the company. ...

years of experience in Software Engineering, Test Automation, AI Engineering, or Data Engineering Strong proficiency in Python and data/AI libraries (e.g., pandas, numpy, PyTorch or similar) Solid understanding of LLMs, NLP concepts, or generative AI systems Experience with test automation frameworks (e.g., PyTest, Playwright) and CI/ ...

experience with: Data Quality Data Governance techniques Knowledge of: MLOps Feature Engineering Exposure to data analysis and ML tools such as: scikit-learn pandas NumPy XGBoost LightGBM Familiarity with orchestration tools: Apache Oozie Apache Airflow Why you’ll love it here We want to make Prima a happy and empowering ...

outstanding product of the year award, and recognition for wellbeing. What we are looking for Strong experience using Python, including libraries such as NumPy, SciPy and Pandas Ability to maintain, improve and optimise an existing codebase for robustness and performance Experience working with an object-oriented language in a commercial ...

demonstrable track record of success in online data‐science competitions, such as Kaggle) Strong object‐oriented engineering skills, with experience in Python, PyTorch and NumPy desirable The ability to apply advanced optimisation methods, modern ML techniques, HPC, profiling or model‐inference expertise; you do not need to have ...

curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing, relational databases, database design and maintenance, AWS/cloud infrastructure, CI/CD pipelines, developer tooling, Linux ...

real-world problems in a professional environment. Programming Fluency: Strong programming skills in Python and SQL plus specific proficiency with the PyData stack (pandas, numpy, scikit-learn, XGBoost, LightGBM) Domain Knowledge: A strong understanding of cricket and the factors influencing match state outcomes (win probability, expected metrics like xR/ ...

with the ability to query, join, and manipulate large and complex datasets Strong working knowledge of Python for data analysis and automation (e.g. pandas, numpy) Ability to understand new datasets quickly and extract meaningful insights. Experience working with large, complex datasets across multiple sources. Proficiency in data visualisation tools (Looker ...

professional data science or quantitative academic role, underpinned by high mathematical and statistical competence. You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch). You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time ...

real-world problems in a professional environment. **Programming Fluency:**Strong programming skills in Python and SQL plus specific proficiency with the PyData stack (pandas, numpy, scikit-learn, XGBoost, LightGBM) **Domain Knowledge:** A strong understanding of cricket and the factors influencing match state outcomes (win probability, expected metrics like xR/ ...

communicate effectively with team members in diverse fields Strong programming abilities in Python, and extensive experience with the scientific and machine-learning stack: Numpy, Torch/Tensorflow/Jax, Scikit-learn, Polars, SQL Expertise with deep learning approaches such as diffusion or flow matching Proficiency in modern software development practices ...

Python development. Responsibilities include building backend applications, data processing pipelines, and collaborating with financial teams. Proficiencies in SQL, leveraging libraries like Pandas and NumPy, and RESTful API development are essential. The role promises a dynamic environment in investment banking within a collaborative setting. #J-18808-Ljbffr ...

Experience developing forecasting or predictive models using machine learning techniques. Strong Python programming skills and experience with common data science libraries such as Pandas, NumPy and Scikit-learn. A solid understanding of statistics, time-series analysis and predictive modelling. #J-18808-Ljbffr ...

integrity, and dashboard performance issues Act as a trusted advisor to client stakeholders on data analytics matters Python for data analysis and automation (pandas, numpy, scipy, etc.) Data Engineering Knowledge: Familiarity with ETL processes, data integration tools, and modern data platforms (e.g., Databricks) Communication: Excellent stakeholder management and presentation skills ...

practical grasp of modern frameworks (PyTorch preferred), optimisation, and neural-network primitives. Scientific computing & math: strong linear algebra, calculus, probability, and statistics; fluency with NumPy, SciPy, and Pandas. Research translation: read an academic paper, understand its mechanics, and reproduce or adapt it in clean, modular Python. Software fundamentals: maintainable Python ...

Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world, messy datasets Ability to work autonomously in a fast-paced environment Nice to have: Experience in mobile apps ...

Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Extensive experience with pytorch, numpy, pandas Hands‐on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.) Able to communicate technical ...

degree/background in a quantitative field (Math, Statistics, CS, Physics, Engineering, Financial Engineering) Strong proficiency in Python, including standard data science libraries (pandas, NumPy, etc.) Genuine interest in financial markets and market microstructure — you follow markets, not just models Solid foundation in statistics and quantitative analysis Strong problem-solving ...

Skills & Experience: 1-3 years' Data Science experience, or equivalent demonstrated experience through graduate work, projects or competitions Strong Python skills, particularly pandas and NumPy Strong SQL skills, including CTEs, window functions and aggregation A solid understanding of applied statistics, including hypothesis testing and confidence intervals MMM (Marketing Mix Modelling ...

master's or PhD student in machine learning or a related discipline 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 ...