1 to 25 of 29 SciPy Jobs in the UK

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). ...

data engineering solutions. You’re comfortable writing production-grade code, not just notebooks. Solid skills in Python and SQL, including standard libraries (Polars, Scipy, NumPy, Scikit-Learn). Experience building or maintaining data pipelines and tools that are reliable and maintainable. Clear communication skills: able to break down problems into ...

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 ...

experience building quantitative trading tools, models, or analytics in a financial or commodities setting Strong Python skills in a scientific computing environment (numpy, pandas, scipy, statsmodels or similar) Solid grounding in statistics, time series analysis, and data modeling; machine learning experience is a plus Experience building data pipelines and working ...

sequential modeling Excellent communication skills with the ability to communicate concepts clearly and precisely Experience writing software using: i) Python for data science (numpy, scipy, scikit, pandas; ii) databases; and iii) cloud platform services (AWS, GCP, Azure) NICE TO HAVES Experience as a Data Architect or Senior Manager Proven track ...

will be considered based on their overall skills, experience and suitability for the role. Strong Python for data analysis and modelling (e.g. pandas, NumPy, SciPy, scikit-learn or similar) Strong SQL, including querying, joining and aggregating data across relational databases Experience ingesting, cleaning and transforming data from varied sources into ...

vision problems, such as classification, detection or semantic/instance segmentation. Strong Python-based scientific computing and ML experience using tools such as NumPy, SciPy, OpenCV/Scikit-image, PyTorch/TensorFlow and Pandas. Experience developing maintainable, tested and reusable Python software and automated analysis pipelines, ideally within collaborative codebases. ...

management, and interoperability protocols such as MCP Experience with machine learning frameworks and data science packages such as PyTorch, TensorFlow, scikit‐learn, NumPy, pandas, SciPy, and statsmodels Experience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model and machine learning workloads with attention ...

machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn Strong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs, Dask, Ray, Polars Familiarity with AWS Cloud services such as EMR, Sagemaker Overall knowledge of the Software Development ...

testing pyramid and automated testing types (unit, component, smoke, performance, load, end‐to‐end) Familiarity with modern statistical ML and AI tooling, including NumPy, SciPy, and Pandas A track record of collaborating in a fast‐paced agile team, ideally using Scrum Nice to have Experience with PyTorch or other deep ...

similar async Python frameworks) Strong working knowledge of modern machine learning — able to understand, integrate, and extend the functionality of an ML library (NumPy, SciPy, Pandas, and frameworks such as scikit-learn or PyTorch) Understanding of core ML concepts — model training, evaluation, and production trade-offs — enough to design robust ...

machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn Strong programming knowledge of Python and Spark; proficiency in vector operations using numpy, scipy; experience with distributed computation using multithreading, multi GPUs, Dask, Ray, Polars Familiarity with AWS Cloud services such as EMR, Sagemaker Overall knowledge of the Software Development ...

optimisation, Bayesian non‐parametrics, NLP or approximate inference. Excellent reasoning skills and mathematical ability. Strong programming skills and experience working with Python, Scikit‐Learn, SciPy, NumPy, Pandas and Jupyter Notebooks; experience with object‐oriented programming is beneficial. Publications at top conferences, such as NeurIPS, ICML or ICLR, are highly desirable. ...

deploy Machine Learning capabilities and techniques into other systems. Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit‐learn Take pride in writing clean, reusable, maintainable and well‐tested code A desire to learn and embrace new and emerging ...

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 ...

electronics, physics or computer science and have significant skills and experience in the following areas: - Expert Python proficiency for data analysis and prototyping (NumPy, SciPy, PyTorch). - Demonstrable applied experience of digital signal processing (FFT, modulation, noise modelling, resampling). - Experience with SDR frameworks (GNU Radio, SDRangel, SoapySDR). - Understanding ...

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 to have ...

leading the delivery of data science or AI projects from concept to production. Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment ...

with their uncertainty and QC so they can understand and check them themselves. Fluency in Python and its scientific stack, including pandas, NumPy and SciPy, and in working with coding agents. SQL and relational schema design for samples, plates and results. Turning scientists’ questions into requirements, and writing down ...

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 - 7 days ...

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: Experience ...

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, causal inference ...

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; fluent English ...

Experience with some of the following technologies would be highly beneficial: NVIDIA CUDA/GPU-accelerated computing Machine learning and data analytics NumPy/SciPy, PostgreSQL/SQLite, Docker/containerised environments Ansible, Cython, Celery/Redis JavaScript, HTML5 and CSS3, Nginx/Keycloak Edge computing, sensor systems or distributed ...

Experience with some of the following technologies would be highly beneficial: NVIDIA CUDA/GPU-accelerated computing Machine learning and data analytics NumPy/SciPy, PostgreSQL/SQLite, Docker/containerised environments Ansible, Cython, Celery/Redis JavaScript, HTML5 and CSS3, Nginx/Keycloak Edge computing, sensor systems or distributed ...