1 to 25 of 305 scikit-learn Jobs in England

understanding of statistical analysis and modeling techniques, including linear regression, time series, decision trees, and clustering algorithms. Proficient in machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Keras) for building and deploying predictive models. Proficient in Python, R, or similar programming languages for data analysis and machine learning. More ❯

understanding of statistical analysis and modeling techniques, including linear regression, time series, decision trees, and clustering algorithms. Proficient in machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Keras) for building and deploying predictive models. Proficient in Python, R, or similar programming languages for data analysis and machine learning. More ❯

in Python (preferred) or R, with experience in SQL for data manipulation and analysis. Strong understanding of machine learning algorithms and frameworks like scikit-learn, TensorFlow, or PyTorch. Experience with cloud platforms (AWS, GCP, or Azure) for model deployment and data processing. Proficiency in data visualisation tools such More ❯

in Python (preferred) or R, with experience in SQL for data manipulation and analysis. Strong understanding of machine learning algorithms and frameworks like scikit-learn, TensorFlow, or PyTorch. Experience with cloud platforms (AWS, GCP, or Azure) for model deployment and data processing. Proficiency in data visualisation tools such More ❯

Skills Programming Languages: Strong proficiency in Python, R, and SQL. Familiarity with Spark. Data Manipulation & Analysis: Experience with libraries like Pandas, NumPy, and Scikit-learn for data cleaning, manipulation, and model building. Machine Learning & Statistical Modeling: Solid understanding of supervised and unsupervised learning, feature engineering, model selection, and More ❯

degree in a STEM (Science, Technology, Engineering, or Mathematics) discipline. Strong programming skills in Python, including experience with libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch. Experience with data processing, analysis, and visualization. Knowledge of machine learning techniques and statistical analysis. Familiarity with cloud computing More ❯

degree in a STEM (Science, Technology, Engineering, or Mathematics) discipline. Strong programming skills in Python, including experience with libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch. Experience with data processing, analysis, and visualization. Knowledge of machine learning techniques and statistical analysis. Familiarity with cloud computing More ❯

machine learning and AI development Strong foundation in machine learning algorithms and statistical modeling Expert-level proficiency in Python and related ML libraries (scikit-learn, TensorFlow, PyTorch) Experience with deep learning frameworks and architectures (CNNs, RNNs, Transformers) Practical experience with MLOps tools and practices Strong knowledge of data More ❯

in industry Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field Strong programming skills in Python ecosystem (numpy, pandas, scikit-learn) Proficient in SQL for complex data manipulation and analysis Solid understanding of machine learning algorithms (both supervised and unsupervised) Experience with cloud platforms More ❯

technical and non-technical stakeholders through effective data visualisation and building of reporting frameworks Comfortable with Python data science libraries such as pandas, scikit-learn, numpy, statsmodels Strong SQL experience including analytic functions, performance tuning, data wrangling Ability to work collaboratively and proactively in a fast-paced environment More ❯

to aviation industry problems Strong programming skills in Python, R, or similar languages for data analysis Experience with machine learning libraries and frameworks (scikit-learn, TensorFlow, PyTorch) Proficiency in SQL and experience working with large, complex datasets Knowledge of statistical analysis, experiment design, and modeling techniques Understanding of More ❯

experience demonstrating relevant skills, preferably with some exposure to the sports sector. Technical Skills: Proficiency in Python (especially the PyData stack: pandas, numpy, scikit-learn, XGBoost), and experience with Git for version control is essential. Strong understanding of machine learning algorithms including linear/logistic regression, decision trees More ❯

Hadoop, Kafka, or similar. Timeseries Database: InfluxDB or TimescaleDB, or similar. Cloud Platforms: AWS Redshift, Azure Synapse, or similar. ML/AI Tools: scikit-learn, TensorFlow, PyTorch. Data Visualization: Power BI, Tableau, or similar. Version Control: Git. Preferred Qualifications: Experience with energy management systems or SCADA. Knowledge of More ❯

Python and SQL, with the ability to query databases and manipulate large datasets. Proficiency in key Python libraries for data science, including Pandas, Scikit-learn, Statsmodels, NumPy, SciPy, Matplotlib, TensorFlow, and Keras. Solid understanding of machine learning techniques, such as clustering, tree-based methods, boosting, text mining, and More ❯

Advanced Python programming skills, with a strong emphasis on writing efficient, scalable, and maintainable code. Proven experience with TensorFlow/PyTorch/Jax, Scikit-learn, and MLOps workflows for training, deployment, and monitoring of ML models. Experience working with Polars and/or Pandas for high-performance data More ❯

to become a fluent Python programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid More ❯

that demonstrates some of the qualities we’re looking for. Technical Skills: Strong proficiency in Python and relevant frameworks/libraries (NumPy, Pandas, Scikit-Learn, TensorFlow/PyTorch, LangChain, LangGraph, Hugging Face, etc.). Experience working with LLMs and AI models in production environments. Experience building RAG-based More ❯

techniques, with hands-on experience in either academia or industry. Proficiency in Python and experience with ML/NLP libraries like TensorFlow, PyTorch, scikit-learn, or Hugging Face. Experience working with cloud platforms such as AWS, GCP, or Azure. Familiarity with advanced NLP methods, including Prompt Engineering, Parameter More ❯

domains (e.g. Natural Language Processing, Computer Vision) and expert knowledge in statistics. You are proficient in the Python Machine Learning stack (NumPy, pandas, scikit-learn, TensorFlow/PyTorch), have extensive experience in software development and are skilled with various database systems (relational/NoSQL). You are experienced More ❯

in NLP or classification problems. Hands on experience with ML tools like TensorFlow, PyTorch etc. Experience with data science libraries such as NLTK, Scikit-learn, SciPy, (Sci)SpaCy etc. Excellent problem-solving and programming skills in Python Excellent communication skills Preferred Qualifications & Skills: If you have the following More ❯

in NLP or classification problems. Hands on experience with ML tools like TensorFlow, PyTorch etc. Experience with data science libraries such as NLTK, Scikit-learn, SciPy, (Sci)SpaCy etc. Excellent problem-solving and programming skills in Python Excellent communication skills Preferred Qualifications & Skills: If you have the following More ❯

and interpretation. Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit-Learn). Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery. Proven track record More ❯

experience with evaluation techniques in object detection and classification. Programming Skills: Language: Python Frameworks and libraries: Core python libraries like pandas, numpy, opencv, scikit-learn etc. Pytorch, Keras, Tensorflow, MMdetection (and other common CV libraries). Huggingface. Streamlit (or other alternatives). Cloud Technologies: AWS and knowledge of More ❯

Proficiency in Python programming language Expertise in a programming language (Python preferred) Familiar with data processing and analysis tools such as Pandas, NumPy, Scikit-learn, etc. Knowledge of machine learning concepts such as supervised and unsupervised learning, classification, regression, clustering, dimensionality reduction, etc. Experience with applying machine learning More ❯

experience with evaluation techniques in object detection and classification Programming Skills Language: Python Frameworks and libraries: Core python libraries like pandas, numpy, opencv, scikit-learn etc Pytorch, Keras, Tensorflow, MMdetection (and other common CV libraries) Huggingface Streamlit (or other alternatives) Cloud Technologies: AWS Knowledge of appropriate services within More ❯