6 of 6 SciPy Jobs in the UK excluding London

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 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 ❯

Convolutional Neural Networks (CNNs) and Feature Extraction techniques. Basic knowledge of programming languages including Python, C++, and C, along and libraries such as Scikit-Learn, NumPy, and/or SciPy . Your Package & Perks: A competitive salary Flexible working hours 32 days holiday, (including public Holidays) plus the opportunity to earn up to an extra 13 days holiday each year More ❯

Convolutional Neural Networks (CNNs) and Feature Extraction techniques. Basic knowledge of programming languages including Python, C++, and C, along and libraries such as Scikit-Learn, NumPy, and/or SciPy . Your Package & Perks: A competitive salary Flexible working hours 32 days holiday, (including public Holidays) plus the opportunity to earn up to an extra 13 days holiday each year More ❯

Machine Learning Engineer Machine Learning Engineer – AI for Advanced Materials – Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We’re looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that’s reinventing how the … Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that’s fusing AI, science, and engineering to push the More ❯

Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that's reinventing … Learning Engineers with experience in some or all of the following (full training provided to fill any gaps): Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Join a team that's fusing AI, science, and engineering to push the More ❯