1 to 18 of 18 Permanent scikit-learn Jobs in the UK excluding London

Here is an exciting opportunity to work with a leading Bank for a senior Python Developer with15yrs work experience only in banking domain. The objective of this role is - Develop, test and maintain high-quality software using Python programming language. more »

knowledge of programming languages commonly used in AI development, such as Python, R, or TensorFlow. Experience with AI frameworks and libraries, such as scikit-learn, spaCy, or PyTorch. Solid understanding of data preprocessing, feature engineering, and model evaluation techniques in AI projects. Proficiency in integrating AI models with more »

proven track record of deploying models in production settings. Advanced proficiency in Python and familiarity with machine learning and deep learning frameworks (e.g. Scikit-learn, PyTorch, TensorFlow). Experience with containerization technologies (e.g., Docker, ECR) and an understanding of GPU acceleration for deep learning. Expertise in a range more »

used in Machine Learning and Data Science such as TensorFlow, PyTorch, and scikit-learn. Data Science and Visualisation libraries including Pandas, NumPy, scikit-learn, matplotlib, Seaborn. Cloud services used in machine learning and data science, such as Azure, OpenAI, Hugging Face, AWS ML/AI. Machine Learning more »

ML model performance using BI tools. The experience you’ll bring to the team: - Proficiency in Python, including ML/DL frameworks (e.g., Scikit-learn, TensorFlow) and visualization libraries (e.g., Matplotlib, Seaborn). - Strong SQL skills and experience with data visualization tools (e.g., Tableau). - Basic statistical analysis more »

security and fraud detection.Requirements: Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn). Database Skills: Fluency in SQL and familiarity with data more »

familiarity with elastic net logistic regression, random forest and XGBoost ensembles to work on supervised problems with structured, tabular data. We currently use Scikit-learn, and we're open to suggestions for additional libraries. Classification using K-means, K-Medoids or similar and the skills to evaluate solution more »

based data science tech stack Python Docker & Kubernetes AWS Cloud Deep learning frameworks - Pytorch and Tensorflow HuggingFace ecosystem [optional] Other machine learning frameworks - scikit-learn, XGboost, CatBoost etc Ability to understand and develop state-of-the-art implementations Familiarity with state-of-the-art deep learning (e.g. transformers more »

do apply or get in touch. Tech Stack: Python GNU/Linux Mathematical + Scientific Libraries (Numpy etc..) Azure NumPy, SciPy, Matplotlib, Pandas, Scikit-learn, TensorFlow, PyTorch, scikit-learn, Keras, matplotlib, seaborn, plotly, bokeh, Altair, Django, Flask, requests, BeautifulSoup, Jinja2 Humand Talent Solutions and their clients more »

change the planet for the better. Tech Stack: Python GNU/Linux Mathematical + Scientific Libraries (Numpy etc..) Azure NumPy, SciPy, Matplotlib, Pandas, Scikit-learn, TensorFlow, PyTorch, scikit-learn, Keras, matplotlib, seaborn, plotly, bokeh, Altair, Django, Flask, requests, BeautifulSoup, Jinja2 Humand Talent Solutions and their clients more »

in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s more »

learning models and algorithms in real-world applications. - Strong proficiency in Python programming and popular machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn). - Deep understanding of machine learning concepts and techniques, including supervised/unsupervised learning, deep learning, reinforcement learning, etc. - Strong communication and interpersonal more »

Strong proficiency in programming languages commonly used in machine learning, preferably Python. Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, scikit-learn, or Apache Spark. Proven track record of developing and implementing machine learning solutions in a professional setting. Passion for exploring new technologies and more »

and fraud detection. Requirements: Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn). Database Skills: Fluency in SQL and familiarity with data more »

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 more »

in the company. Machine Learning Engineer - Ideal skillset would include: Top Academics in a relevant field Strong knowledge of TensorFlow, PyTorch, Keras and Scikit-Learn Ideally 1+ year professional experience as a Machine Learning Engineer Research minded and experimental approach to problem solving This is a very innovative more »

ML model performance using BI tools. The experience you'll bring to the team: - Proficiency in Python, including ML/DL frameworks (e.g., Scikit-learn, TensorFlow) and visualization libraries (e.g., Matplotlib, Seaborn). - Strong SQL skills and experience with data visualization tools (e.g., Tableau). - Basic statistical analysis more »

Machine Learning Engineer, South Cambridge - £60k - £85k + Superb benefits. Cutting Edge R&D We have a fantastic new opportunity for a Machine Learning Engineer to join a state-of-the-art R&D company based in South Cambridgeshire. You more »