176 to 187 of 187 SciPy Jobs in the UK

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 ❯

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 ❯

of experience with writing tools and plugins for game engines. 2+ years of experience working with Python 3. Experience converting Python 2 codebases to Python 3. Experience with Numpy, SciPy, OpenCV, OpenImageIO, OpenTimelineIO, USD, Rez. Experience with leveraging CI/CD systems to automate testing and deployment of tools. Experience with common database query languages, APIs, and structuring data. Experience More ❯

roles, a proven track record of publications, or contributions to machine learning codebases. Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas. Strong knowledge of linear algebra, calculus and statistics. Experience working in a scientific environment across disciplines (particularly biology, chemistry, physics). Experience working with biological or chemical data More ❯

using SQL and Spark. Preferred Will be curious, enjoy problem solving and have empathy for the problems you are challenged with Working knowledge on data science frameworks and toolkits (Scipy, Scikit-Learn, Keras, PyTorch, Etc.) Experience with Git, Databricks and Microsoft Azure technical stack Prior exposure to Agile methodologies Experience building large scale machine learning systems Master's Degree 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 Experience with AI governance and responsible AI practices Understanding of public sector data requirements and compliance Outstanding communication and stakeholder 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 Experience with AI governance and responsible AI practices Understanding of public sector data requirements and compliance Outstanding communication and stakeholder More ❯

roles, a proven track record of publications, or contributions to machine learning codebases. Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas Strong knowledge of linear algebra, calculus and statistics Experience working in a scientific environment across disciplines (particularly biology, chemistry, physics) Experience working with biological or chemical data and More ❯

on experimentation, analysis, and visualisation. Strong knowledge of linear algebra, calculus and statistics. Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas. A passion for applying ML research to real world problems. Depending on your experience: project supervision, leadership, or management. Nice to have PhD in machine learning or computer 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 ❯

trading strategies. You’ll have 1-2 years’ experience in data science. Coding experience (e.g. Python, SQL). Knowledge and understanding of a data science library (e.g. SKLearn, Statsmodels, Scipy). Desirable Further development experience (e.g. R, C++). Knowledge of Git and GitHub. Previous experience in a trading environment. Experience with a data platform e.g. Snowflake. Benefits & perks Competitive More ❯

Physics, Engineering, or Applied Statistics/Mathematics. ● Prior ML research experience in academic or scientific environments (internships/RA considered). ● Strong Python skills, including libraries like Scikit-Learn, SciPy, TensorFlow, and PyTorch. ● Expertise in designing, training, and deploying ML models. ● Experience handling large datasets, data cleaning, feature engineering, and augmentation. ● Experience with high-performance computing and GPU training. ● Knowledge More ❯