14 of 14 Permanent SciPy Jobs in the UK

5+ years Deep understanding of object-oriented design, concurrency, and high-performance distributed systems Proficient in Python; Including use of libraries such as NumPy, SciPy and Pandas for quantitative analysis and prototyping Proven experience applying numerical optimisation techniques and/or machine learning methods to pricing, trading or market-related ...

What We’re Looking For Essential experience Significant experience building, training and deploying machine learning models Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow Experience working with large-scale unstructured data Experience building and deploying production-ready NLP systems Familiarity ...

translate real-world needs into product improvements What They’re Looking For: Degree in Computer Science, Physics, Bioengineering, or similar Strong Python skills (NumPy, SciPy, Pandas, etc.) Experience working with hardware or lab-based systems (or similar environments) Experience with GUI development (or a strong interest in learning) Solid understanding ...

over time. Required Skills and Qualifications Technical Expertise (The Core) Programming: Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy . Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch . Statistics & Math: Strong foundation in statistical modeling ...

architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining ...

wearables—including strategies for managing irregular sampling, noise, and missing data. Advanced skills in Python for data analysis, utilizing tools such as pandas, NumPy, SciPy, and a range of visualization libraries (matplotlib, seaborn, etc.). Expertise in designing and executing controlled data experiments, including A/B tests and cohort ...

background in Machine Learning, DL and Applied Statistics• Time-series modelling + backtesting• Experience with geospatial and climate datasets• Python stack: PyTorch, scikit-learn, scipy• Reproducible workflows (Git, AWS/cloud, W&B)Nice-to-haves:• Risk modelling, financial time series, portfolio optimisation (great for FinTech/quant backgrounds)• Climate ...

models: Designing original computational physics problems that simulate real physics research workflows Creating problems that require Python (or equivalent) to solve, using NumPy, SciPy, SymPy, and related libraries Ensuring problems are computationally intensive and cannot be solved manually within reasonable timeframes Developing problems requiring non-trivial reasoning chains in mechanics ...

more for an exceptional candidate) Requirements for RF Data Scientist/Research Engineer: Strong Python skills for data analysis and prototyping (e.g. NumPy, SciPy, matplotlib, PyTorch, scikit-learn) Excellent understanding of digital signal processing techniques including FFTs, resampling, modulation, and filtering Hands-on experience working with SDR platforms such ...

strong — iOS Neural Engine), ONNX (strong — cross-platform interop), MediaPipe (competent — Android face landmarker integration). Computer Vision & Signal Processing: OpenCV (expert), NumPy/SciPy (expert — rPPG signal processing), dlib (competent), rPPG methods specifically (POS, CHROM, chrominance decomposition, bandpass filtering, pulse extraction from RGB video), monocular depth estimation for Android ...

deep-learning enabled products into hospitals, the Python Developer will work with a variety of technologies including the Python scientific stack (NumPy, Pandas, SciPy, etc.), frameworks such as OpenCV, PyTorch, TensorFlow and JAX, data pipeline tools such as Airflow or Prefect and data processing tools such as Spark or Databricks. … role? Demonstrable programming ability in Python, preferably within a data context A STEM-related degree Some experience with the Python scientific stack (NumPy, Pandas, SciPy, etc.) is preferred Experience with Docker, GIT and Linux So What's Next? If you are an experienced Python Developer looking for your next technical ...

mathematical rigour sit at the heart of everything they do. The environment is intellectually stimulating, with real ownership, modern tooling (such as Pandas, SciPy, NumPy), and the chance to work on complex, meaningful challenges at scale. The Senior Python Software Engineer will design and build high-performance analytics modules that … Need • 5+ years’ Python development experience • Strong mathematical or statistical modelling background • Experience building production-grade analytical software • Knowledge of tools such as Pandas, SciPy, NumPy, SQL and cloud platforms with tools such as Kubernetes and Docker. Why You’ll Love It • Flexible hybrid or fully remote working options • Opportunity ...

unique tasks, contributors may: Design original computational physics problems that simulate real physics research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains … contributors will have: Degree in Physics (Theoretical, Experimental, or Computational) or related fields; Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable ...

algorithms by leveraging concepts such as machine learning, optimisation and mathematical modelling. They will also be using Python and common libraries (e.g. NumPy, Tensorflow, SciPy) to develop their prototype. Problems you could be working on: Enhancing sonar operator training using data-driven techniques Investigating the use of ML (e.g. generative … Mathematical Optimisation Reinforcement Learning Experience in developing applications in Python Practical use of common Python libraries for data analysis or ML (e.g. NumPy, Tensorflow, SciPy, Scikit-Learn) What you will gain whilst working at SeeByte: Experience in applying technologies (e.g. neural networks, probabilistic models, constraint programming) to solve real world ...