76 to 100 of 106 NumPy Jobs in London

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 ...

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 ...

Data Factory, Synapse, Data Lake). Practical experience with Microsoft Fabric and modern cloud data architectures. Experience in data processing libraries such as Pandas, NumPy or Polars. Proven leadership skills with experience guiding and developing engineering teams. Highly adaptable, thriving in fast-paced, evolving environments. Strong proactivity and ownership mindset ...

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 ...

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. ...

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. ...

Practical exposure to bond pricing, stochastic volatility modelling and Monte Carlo simulations. Proficient in time‐series analysis, econometrics and factor‐based modelling. Advanced Python (numpy, pandas) with production deployment experience. C++ highly valued; SQL proficiency; MS Office with VBA a plus. Clear communicator able to explain complex ideas ...

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. ...

What you'll bring A degree in geodesy, physics, maths, data science or similar (MSc or PhD preferred) Strong Python and the scientific stack (NumPy, pandas, SciPy) Solid statistics: estimation, time series and uncertainty Experience with large scientific datasets A habit of writing production code, not just notebooks Nice ...

datasets, tools, data formats, and workflows commonly used in computational biology and chemistry. Strong hands-on experience with PyTorch and the scientific Python ecosystem (NumPy, SciPy, Pandas, etc.). Experience contributing to and maintaining deep-learning codebases, with a high bar for engineering quality, reproducibility, and testing. Nice to have ...

impact on product and commercial outcomes. Advanced SQL — comfortable writing performant queries against large, complex datasets; window functions, CTEs, query optimisation. Strong Python — pandas, numpy, scipy, statsmodels (or equivalent); able to build analysis pipelines, not just notebooks. Solid applied statistics — experimental design, hypothesis testing, sample sizing, multiple testing correction, regression ...

reinforcement learning, including practical experience training and debugging deep RL agents on non-trivial problems Solid Python and modern ML tooling (PyTorch or JAX, NumPy, common RL libraries) Comfort working with time-series sensor data, including the realities of missingness, drift, calibration issues, and noisy labels. Ability to formulate ambiguous ...

trading latency low. We operate a hybrid Python/C++ engineering stack. A large portion of our stack is Python-based (utilising libraries like NumPy, SciPy, PyTorch, Polars, Ray, Plotly, and Dash), but an increasing amount of our most performance-critical systems are written in modern C++ (C++23). … with other languages & frameworks Strong general high performance computing (multi-threading, networking, profiling and optimisation) Familiarity with Python data science tools and frameworks (e.g. NumPy, PyTorch, Polars) Participation in the company bonus scheme. 10% matched pension contributions Private healthcare insurance Long term illness insurance Gym membership #J-18808-Ljbffr ...

Physics preferred; other STEM subjects such as Computer Science will also be considered. Python: Strong software developer with in‐depth knowledge and experience. Numpy (including numba): in‐depth knowledge is required. Strong knowledge of Unix systems (processes, memory, I/O). Deep understanding of statistical methods, numerical optimisation ...

developer tooling is a plus given the platform's technical depth Background in simulation or engineering workflows Familiarity with scientific computing libraries such as NumPy and SciPy Understanding of how AI agents consume documentation, for example structured descriptions and tool schemas Prior freelance experience in this space, including candidates ...

development. In this computationally intensive role, you'll use Python and C++ to build and optimize trading systems, perform data analysis with Pandas/NumPy, and collaborate with senior developers on low-latency projects and signal discovery. #J-18808-Ljbffr ...

live trading, leveraging a graph-based DAG framework for high-performance data processing. The ideal candidate has a strong Python background, expertise with NumPy/Numba and Unix, plus experience in statistical methods and DAG data processing. #J-18808-Ljbffr ...

back end, writing clean, well-tested code that's easy to support and extend. Build data pipelines and models using pandas and NumPy, working with Snowflake and Azure to store and serve data reliably and securely. Coordinate an offshore vendor team: setting priorities, assigning work, reviewing output, and tracking hours … 8+ years building and managing enterprise-grade software, including experience working across offshore/onshore vendor teams. 8+ years with Python, including pandas and NumPy; 5+ years building APIs with FastAPI; 5+ years with Angular and UI libraries such as Material or Bootstrap. Experience hosting and managing applications on Azure ...

government and enterprise clients, both virtually and face to face Teach vendor-specific and bespoke courses covering prompt engineering, machine learning techniques and the NumPy ecosystem Design and develop courseware using instructional design principles and adult learning theory, tailored to client requirements Act as a subject matter expert, feeding insight … technical audiences, virtually and in person Strong knowledge of GenAI concepts and prompt engineering Solid grounding in machine learning techniques and Python, including the NumPy ecosystem Experience designing learner-centred courseware Eligible for, and willing to obtain, SC security clearance Desirable: Hands-on experience with TensorFlow or PyTorch Familiarity with ...

government and enterprise clients, both virtually and face to face Teach vendor-specific and bespoke courses covering prompt engineering, machine learning techniques and the NumPy ecosystem Design and develop courseware using instructional design principles and adult learning theory, tailored to client requirements Act as a subject matter expert, feeding insight … technical audiences, virtually and in person Strong knowledge of GenAI concepts and prompt engineering Solid grounding in machine learning techniques and Python, including the NumPy ecosystem Experience designing learner-centred courseware Eligible for, and willing to obtain, SC security clearance Desirable: Hands-on experience with TensorFlow or PyTorch Familiarity with ...

This is a very interesting project focused on pricing optimisation for insurance companies, using an ensemble of predictive models. The tech stack includes: pandas, numpy, PyTorch, SHAP, and scikit-learn. We are looking for candidates with experience in building predictive models for time series, strong attention to detail … Requirements Proficiency in Python and machine learning. Experience with GitHub, Power BI, and Python tools. Familiarity with relevant data science libraries such as pandas, numpy, scikit-learn, and PyTorch. Strong analytical skills and attention to detail. Ability to work in an agile environment and meet tight deadlines. About Us DataObrii ...