19 of 19 SciPy Jobs in the UK excluding London

related role Proven depth in probability & inference (e.g., Bayesian updating, time-series/state-space models, extreme-value theory). Hands-on Python for numerical analysis (numpy, pandas, xarray, SciPy/PyMC/PyTorch, or similar). Experience validating models with historical data and communicating results to non-specialists. Exposure to real-time data engineering (Kafka, Airflow, dbt) Track record More ❯

interaction with the models Testing and documentation Requirements: Experienced Python developer Experience utilising machine learning libraries such as (in order of importance) TensorFlow, HuggingFace, scikit-learn, PyTorch, Pandas, NumPy, SciPy Experience with AWS (principally EC2, S3, SageMaker) or Azure/GCP equivalents Some experience of designing, developing and deploying scalable infrastructure (eg Apache Airflow, Luigi or other cluster management software More ❯

of scientific software development, including data acquisition and/or data analysis. (S&I) Experience developing well-designed, robust software in Python and its scientific packages (such as numpy, scipy, matplotlib, pandas). (S&I) Understanding of modern software development practices (e.g. testing, version control, continuous integration, Agile, object-oriented design). (S&I) Experience of leading software projects through More ❯

Programming (MILP, MIQP, MIQCP). Proficient with Gurobi Optimizer (or equivalent like CPLEX, CBC). Understanding of electricity system balancing, dispatch processes, and control systems. Python ecosystem (NumPy, Pandas, SciPy, Pyomo, etc.) Gurobi Optimizer (for LP, QP, MILP, etc.) Contract Details: Duration: 6 months (View for Extension) Day Rate: Up to £500 per day (Inside IR35) Location: Hybrid 3x a More ❯

Technical Expertise: A deep command of Python, experience working closely with hardware plus proven experience developing scientific or analytical applications using numerical and engineering-oriented Python tools (e.g., NumPy, SciPy). Location: Cambridge Position: Senior Software Engineer Salary: Up to £100K Seniority level Mid-Senior level Employment type Full-time Job function Industries: Software Development and Appliances, Electrical, and Electronics More ❯

SME or consumer lending preferred). Strong quantitative background (degree in Maths, Engineering, Physics, or similar). Experience building and maintaining predictive credit models. Fluency in Python (Pandas, NumPy, SciPy, Matplotlib) and SQL. Experience with advanced modelling techniques (e.g., Monte Carlo, Bayesian modelling) is a plus. Strong communicator. Commercial mindset and strong instincts around risk and return. Experience mentoring or More ❯

Neural Networks) on small and large datasets. Strong experience in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in Python data science ecosystem (Numpy, SciPy, Pandas, etc.) Experience using a cloud computing service to reduce runtime to train and evaluate deep learning models PhD in Computer Science, Applied Mathematics, quantitative disciplines with strong focus in More ❯

Data Science or AI domains Proven track record of leading complex AI projects in an agile environment Strong technical proficiency with modern ML tools and frameworks: PyTorch, TensorFlow, SparkMLLib, SciPy, Scikit-Learn, NLTK (etc) MLflow or similar ML lifecycle tools Cloud platforms (AWS/Azure/GCP) Experience with AI governance and responsible AI practices Understanding of public sector data More ❯

Quant Developer – Market Risk than Credit Risk. Building from the beginning – lots of IT Challenges – Python Code Migrating from library, tweaking, methodology. Skills: Python: Blackrock numeric data processing: numpy, scipy databases: sqlalchemy, psycopg #J-18808-Ljbffr More ❯

learn, and scipy. Collaborate with data scientists and domain experts to understand project requirements and design optimized AI solutions. Preprocess and analyze visual data using OpenCV, scikit-learn, and scipy to extract meaningful insights. Train and fine-tune AI models using TensorFlow/Keras, PyTorch, PaddlePaddle, and other relevant frameworks to achieve high accuracy. Optimize AI models using OpenVINO for … experience as an AI Engineer or similar roles. Strong proficiency in Python/C++ for AI model development and inference. Experience with OpenVINO, OpenCV, AWS, CVAT, scikit-learn, and scipy for visual AI applications. Proficiency in TensorFlow/Keras, PyTorch, and PaddlePaddle for model training and optimization. Strong analytical and problem-solving skills with the ability to handle large-scale More ❯

or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data insights More ❯

techniques, including sampling methods, regression, properties of distributions, weighting sample-based data, and proper use of statistical tests in real-world applications. Proficiency with Python libraries such as NumPy, SciPy, Pandas, scikit-learn, and others related to data and machine learning. Working knowledge of SQL, data structures, and databases (Snowflake is desirable). This organization is pragmatic and humble, seeking More ❯

Providing relevant insights Advanced statistical and analytical techniques and concepts sampling methods, Regression Properties of distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is a pragmatic and humble organisation More ❯

Providing relevant insights Advanced statistical and analytical techniques and concepts sampling methods, Regression Properties of distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is a pragmatic and humble organisation More ❯

Data Engineering: Strong skills in building and managing robust data pipelines for biomedical signals, preprocessing noisy, high-dimensional neurodata, and handling large-scale datasets using tools like Pandas, NumPy, SciPy, MNE, and TensorFlow/Keras or PyTorch. Wearables: Understanding of how AI models interact with wearable biosensors, embedded systems, and real-time decoding architectures. Familiarity with challenges in acquiring high More ❯

Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our More ❯

Job Title: Data Science Manager (Operations) Salary: Competitive + Car Allowance + Bonus + Benefits! Location: Hybrid working, home & 1-2 days a week inBCA Hook or BCA King's Cross Working Hours: Monday - Friday, 40 hours Job Status: Permanent More ❯

Experience with user testing or co-design methods, in arts or health settings Experience with Image and/or audio-based AI development and familiar with libraries such as: SciPy, TensorFlow, PyTorch, Hugging Face Experience with Image and/or audio-based AI development Familiarity with research projects productivity timelines Knowledge of the peer review process for research projects and More ❯

ML work experience in scientific/academic environment (RA/Internships are considered as work experience) Strong knowledge of Python, including core data science libraries such as Scikit-Learn, SciPy, TensorFlow, and PyTorch. Knowledge of software development good practices and collaboration tools, including git-based version control, python package management, and code reviews. Excellent communication skills, with the ability to More ❯