126 to 150 of 187 NumPy Jobs in the UK

concise documentation and analysis. NICE TO HAVE BUT NOT ESSENTIAL Proficient in python’s various data transformation, visualisation and statistics libraries i.e. pandas, numpy , scipy and plotly Experience leading a team or owning a whole product domain Additional Information BENEFITS: Base salary of £60k - £85k (based on experience ...

distributed systems. Experience with UI/UX considerations for backend/API design. Experience working with modern statistical machine learning and AI technologies (NumPy, SciPy, Pandas). Experience with DevOps workflows. Experience with PyTorch or other deep-learning frameworks. Familiarity with Bayesian statistics or probabilistic modelling. Experience with MLOps. Location ...

quantitative, investment data or similar data-focused role, including designing, building or supporting analytical data products or reusable datasets. Strong Python (including pandas and NumPy) and SQL skills, alongside experience with version control, testing practices and building data-quality, validation and monitoring workflows. Strong practical understanding of data modelling, data ...

building production-quality software, with a good understanding of software engineering principles, testing and maintainable code. Familiarity with Python's scientific computing libraries, particularly NumPy, Pandas and SciPy. An understanding of equities markets, financial instruments and associated data. Credit experience would be advantageous but isn't essential. ...

interpreting insights to support data literacy across the organisation. Required Skills:Extensive experience in data analysis using python, especiallyusing libraries such as Pandas and NumPy Relevant experience with Power BI or similar tools such as Tableau or Qlik for data storytelling, data visualisation and reporting Strong programming skills ...

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 ...

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 ...

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 ...

extract, profile, audit, and clean large, multi-source datasets (multi-table joins, aggregations, window functions). Python Scripting: Practical proficiency in Python (e.g. Pandas, NumPy) for data manipulation, batch processing, and automation. Data Profiling & Quality: Demonstrable experience using data profiling tools (e.g. Microsoft Purview or similar) to evaluate large datasets ...

compliance/Financial Services/regulated environment preferred Highly motivated to learn about Fundment’s products Technical Expertise: Python: FastAPI, Pydantic, SQLAlchemy, PyTest, Pandas, Numpy Cloud: Experience supporting production systems Security & Compliance: Familiar with secure coding and regulated environments Values Collaborative – Deliver as a team, communicate clearly, and prioritise collective ...

software development process.Essential Skills and Direct Experience with:10+ years of relevant experience in the following:Demonstrable Expert use of the scientific Python stack (numpy, pandas/polars) and familiarity with QuantLib or similar fixed income pricing libraries.Track record of building and operating production APIs and services.Hands-on knowledge ...

Python programming skills, including experience with modern AI or deep learning tools such as PyTorch, TensorFlow or JAX and scientific Python tools such as NumPy, pandas or xarray. You will be able to work effectively both independently and as part of a collaborative research team, communicate complex information clearly ...

profiling. Experience with distributed systems, large data sets, and SQL, NoSQL, or tick databases. Ability to program in a scientific computing environment (Python/NumPy/pandas) for research and tooling. Strong verbal and written communication skills; sound judgment in production trading environments. Bachelor’s degree or higher ...

carefully, through publications, open-source work or applied research. Strong Python skills and experience implementing machine learning models using tools such as Pandas, NumPy, SciPy, PyTorch. An interest in working closely with engineers and taking responsibility for how your methods perform in practice. Practical experience deploying machine learning and control ...

developing machine learning models in a cloud environment Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas) Nice to haves: Strong knowledge of software engineering best practices Have built applications taking advantage of Generative AI in real, production use cases Familiarity with state ...

sample handling (pipetting robots); failure-mode detection and recovery; data quality checks; near-real-time data processing. Familiarity with scientific computing and machine learning — NumPy, SciPy, Jupyter, PyTorch, Matplotlib. Knowledge of CI/CD (e.g. GitHub Actions) and version control with Git. Experience with Jira and Confluence in a hybrid ...

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

development process. Essential Skills and Direct Experience with: 10+ years of relevant experience in the following: Demonstrable Expert use of the scientific Python stack (numpy, pandas/polars) and familiarity with QuantLib or similar fixed income pricing libraries. Track record of building and operating production APIs and services. Hands ...

using MS Dev Ops \ Code repositoriesUnderstanding of geospatial processing libraries including GDAL and Rasterio and general knowledge and application of standard python libraries including numpy and pandasKnowledge of AI\ML and deep-learning concepts and practicesUnderstanding and practical experience of image analysis and classification techniquesExperience in designing and implementing strategies ...

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 ...

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 have ...

Experience developing and applying deep learning or AI/ML methods to complex scientific datasets. Strong programming and scientific computing skills in Python (e.g. numpy, pandas, PyTorch and/or JAX). Experience analysing complex biological, imaging or spatial datasets, or strong evidence of rapidly adapting to new data domains. ...

scientist on model development, training, and deployment across our hardware-linked data pipeline. Bring 2+ years in ML engineering, with Python-based stacks (NumPy/SciPy/scikit-learn/PyTorch). Hybrid work in Bristol, with some lab visits and equity discussion opportunities. #J-18808-Ljbffr ...

MIPT, HSE, MSU, SPbSU, ITMO, YSDA, or international equivalents). Strong foundation in probability, statistics, linear algebra, and algorithms. Tech Stack & Hard Skills: Python (NumPy, Numba). PyTorch or JAX (for the ML track) OR advanced backtesting/quantitative modeling frameworks (for the Quant track). Proven track record ...