15 of 15 SciPy Jobs in the UK

software development Deep understanding of Python Familiarity with Linux, bash, and the command line Experience with modern statistical machine learning and AI, including Numpy, Scipy, and Pandas Ability to write logical, consistent, self‐explanatory code Understanding of software design patterns, SOLID and DRY principles, and architectural patterns Experience with ...

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 ...

e.g. trading, pricing, risk, PnL). Translating desk problems into Technical Solutions. This Python developer will be using the full Python ecosystem: NumPy, pandas, SciPy, Plotly, FastAPI, but the desk expects you to go beyond the textbook stack. If you are interested in this Python role with good Front Office ...

Looking For Around 3-5 years' experience in a Data Science or advanced analytics role Strong Python skills, including libraries such as pandas, NumPy, SciPy, and scikit-learn Experience with gradient boosting frameworks (e.g. LightGBM or similar) Solid grounding in statistics and machine learning concepts Comfortable working with structured data ...

decisions and modelling approaches Build robust, documented and reusable scientific software Essential Skills Strong Python experience for scientific computing Experience with Pandas, NumPy, SciPy and visualisation libraries such as Matplotlib or Seaborn Experience analysing bioassay, assay or experimental biology data Understanding of dose-response modelling, curve fitting, 4PL, EC50/ ...

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 ...

Science, Engineering, Mathematics, Physics, Chemistry, or a related discipline. Strong practical Python skills and experience with common data science libraries such as pandas, numpy, scipy, statsmodels, or scikit-learn. The ability to turn data into clear, actionable insights for both technical and non-technical audiences. Experience working with predictive modelling ...

production environments, particularly across forecasting, pricing, or optimisation use cases • Strong Python engineering skills alongside modern data tooling such as SQL, Pandas, NumPy, SciPy, Dask, Polars, DuckDB, or PySpark • Experience building microservices and working within distributed system architectures • Strong understanding of large-scale or high-frequency data environments such ...

optimisation, or similar analytical problem spaces • Solid Python skills and working knowledge of modern data tools such as SQL, Pandas, Polars, DuckDB, NumPy, or SciPy • Exposure to Dask, PySpark, distributed systems, or microservices is beneficial but not essential • Interest in working with large-scale or high-frequency datasets such ...

looking for: Around 3+ years’ experience in a data science or similar role Strong Python skills, particularly with libraries like NumPy, pandas, and SciPy Experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch A track record of working with messy, real-world datasets (ideally in industrial settings) Comfortable ...

building machine learning models and pipelines in Python, using common libraries and frameworks (PyTorch/CUDA, ideally with exposure to JAX, NumPy/SciPy), especially including deep learning applications; developing models for bespoke problem settings that involve high‐dimensional data (spatiotemporal, geometric, physical); iterating on network architectures and model structure ...

Build and iterate on frontend interfaces using React, Vue, or Next.js within a single-page application architecture. Integrate AI/ML models built with SciPy, Pandas, Scikit-learn, and TensorFlow into production systems. Must have's as Software Developer: Backend: Python, Django, Django REST Framework, Celery, Redis/Frontend: React … Next.js (SPA) Infrastructure: AWS, Docker, GitHub/GitLab Actions AI/Data: SciPy, Pandas, Scikit-learn, TensorFlow 3+ years of professional software development experience. Familiarity with asynchronous systems and task queue architectures. Eligible to work in the UK. Nice to have's as a Software Development Engineer: Interest or experience ...

Location : Strong preference for candidates in the UK Reports to : Chief Technology Officer Engaging Networks is seeking a Data Scientist who will help define our machine learning roadmap and build on the foundations of our ...

days/weeks) Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches Verify solutions using Python with standard libraries (Numpy, Pandas, Scipy, scikit-learn) Document problem statements clearly and provide verified correct answers What We Look For This opportunity is a good fit for ML specialists with … experience with proven business impact Portfolio of completed projects and publications showcasing real-world problem-solving Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels) Expert statistical analysis and machine learning – deep understanding of algorithms, methods, and their practical applications Expert with SQL and database operations ...

accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends Leading RF data collection, field experiments, and over-the-air testing using drones, wireless … devices, and custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware chains ...