1 to 25 of 43 scikit-learn Jobs in England

a similar role. Technical Skills: Proficiency in Python, R, or another programming language used for data science. Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, Keras, PyTorch). Strong knowledge of data manipulation and analysis using libraries such as Pandas, NumPy, and SQL. Experience with data visualization more »

technical stakeholders Technical Skills Required: - Strong proficiency in Python and R for data analysis and modeling - Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch - Solid understanding of statistical analysis and data mining techniques - Familiarity with big data technologies like Spark or Hadoop - Experience with more »

Python & JavaScript Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Keras). Experience with data preprocessing tools and libraries (e.g., pandas, NumPy, scikit-learn). Familiarity with technologies such as React & Next.js Experience with LLMs such as GPT4. Familiarity with cloud platforms such as AWS, Azure, or more »

algorithms, and statistical methods. Proficiency in programming languages such as Python, Java, and C++. Experience with AI tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and SQL databases. Familiar with the integration of different systems and the use more »

science methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best more »

science methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best more »

science methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best more »

science methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best more »

science methods using both quantitative and qualitative metrics. Strong mathematical and statistical background. Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark. Experience and understanding of mixed technical teams such as engineering, architects, business analysts. Familiar with MLOps industry best more »

Contribute to internal initiatives such as; blogs, thought leadership, leading technical forums Requirements Substantial experience with Python and relevant libraries (e.g. Pandas, Numpy, Scikit Learn, PyTorch, Tensorflow) Experience driving ML & data science solutions into production You can put the numbers into a business perspective - you're a data more »

data analysis and machine learning techniques. Technical Skills : Proficiency in programming languages such as Python or R. Familiarity with machine learning libraries (e.g., scikit-learn) and data manipulation tools (e.g., Pandas) is a plus. Data Management : Understanding of SQL and experience with data analysis and visualisation tools (e.g. more »

Python is required. Background in programming in C, C++, Java is beneficial. Experience with SQL, Spark, Pandas, Numpy, SciPy, Statsmodels, Stan, pymc3, Caret, Scikit-learn, Keras, TensorFlow, Pytorch is beneficial. * Experience working with large data sets, simulation/optimisation and distributed computing tools (Map/Reduce, Hadoop, Hive more »

Strong experience with GANs, VAEs, diffusion models, transformers, and LLMs. Familiarity with Jupyter Notebooks, cloud platforms (AWS, Google Cloud), and libraries (NumPy, pandas, scikit-learn). Strong communication, analytical skills, and adaptability. To be considered, please ensure you complete your application on the Computappoint website. Services offered by more »

teams in Agile environments, offering guidance, managing risks, and ensuring timely project delivery. Required Skills: Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and platforms like Databricks or AzureML. Demonstrable experience with cloud platforms and CI/CD pipelines (e.g., Jenkins, Docker, ArgoCD) for deploying AI more »

teams in Agile environments, offering guidance, managing risks, and ensuring timely project delivery. Required Skills: Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and platforms like Databricks or AzureML. Demonstrable experience with cloud platforms and CI/CD pipelines (e.g., Jenkins, Docker, ArgoCD) for deploying AI more »

data visualization tools (e.g., Tableau, Power BI, matplotlib) and cloud platforms (preferably AWS). Expertise in statistics and machine learning frameworks (e.g., PyTorch, scikit-learn). Familiarity with Git and collaborative workflows, such as pull requests and code reviews. Experience in product experimentation, including A/B testing. more »

compliance standards. Requirements: You Will Demonstrate: Technical Proficiency in Python and ML Frameworks : Experience with Python and ML frameworks like TensorFlow, PyTorch, or Scikit-Learn, enabling efficient deployment and management of ML models. Containerisation and Orchestration : Hands-on experience with containerisation and orchestration tools, such as Docker and more »

Python and Rust/C++ Experience with data science and machine learning with good understanding of scientific computing packages (Pandas/Polars, NumPy, scikit-learn, matplotlib, etc.) Ability to write fast (latency sensitive), robust, clean and maintainable code Bachelor’s or Master’s in Computer Science, Engineering or more »

techniques. Should have worked with deep learning libraries (Transformers based models, LSTM, biLSTM, CNN, etc) Experience with other Machine Learning algorithms and tools (scikit-learn libraries, Pandas, Numpy, Tensorflow, PyTorch). Fluency in at least one programming languages Python, JavaScript/Typescript, NodeJS (Python preferred) Exposure to MLOps more »

ability to understand and translate data into actionable insights for the business. Strong working knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow and PySpark. Good understanding of industry standard MLOps capabilities. Understanding of the financial industry, in particular insurance, would be advantageous. more »

ability to understand and translate data into actionable insights for the business. Strong working knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow and PySpark. Good understanding of industry standard MLOps capabilities. Understanding of the financial industry, in particular insurance, would be advantageous. more »

ability to understand and translate data into actionable insights for the business. Strong working knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow and PySpark. Good understanding of industry standard MLOps capabilities. Understanding of the financial industry, in particular insurance, would be advantageous. more »

their performance. REQUIRED SKILLS AND EXPERIENCE Proficiency in Python, including its associated data and machine learning packages such as numpy, pandas, pyspark, matplotlib, scikit-learn, Keras, TensorFlow, and more. Experience working with object-oriented programming languages. Experience in Forecasting/Pricing & AB testing. Leadership Expertise in utilizing SQL more »

governance and metadata management. Strong proficiency in AWS services and cloud architecture. Advanced skills in Python programming and related libraries (e.g., pandas, NumPy, scikit-learn). Experience with real-time data processing frameworks (e.g., Apache Kafka, Apache Spark) is a plus. Solid understanding of data security, privacy regulations more »

of MLB or NBA Advanced knowledge of statistical modelling and machine learning, with relevant experience in the use of relevant Python libraries e.g. scikit-learn, xgboost, tensorflow, pymc3, statsmodels (and R equivalents) Experience generating reports, dashboards and data visualisations to explain the results and behaviour of models Experience more »