19 of 19 Remote scikit-learn Jobs in England

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 »

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 »

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 »

and Biosciences with statistics. Experience in software development in Python is essential and some experience with machine and deep learning frameworks (TensorFlow, Pytorch, scikit-learn, etc.) is desirable. Desired Competencies: Excellent analytical and numerical skills, the aptitude for solving complex/technical problems, objective and logical with an 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 »

JVM language (Java/Kotlin) and experience in Python NLP, ML-Ops and data pipelines ML frameworks/libraries such as TensorFlow, PyTorch, scikit-learn Cloud platforms like Amazon Web Services & Google Cloud Kafka and RDBMS such as MySQL & Postgres Ideally you will also have a strong understanding more »

experience working as a Data Scientist/Machine Learning Engineer Solid knowledge of SQL and Python’s ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures more »

etc. You have experience applying machine learning and statistical techniques to solve real-world problems - You can use tools such as TensorFlow, PyTorch, Scikit-learn, and Keras to build, train, and evaluate various machine learning models such as customer churn prediction, customer lifetime value estimation, customer segmentation, and 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 … Industry Insurance Health and Human Services Employment Type Full-time Job Functions Analyst Science Management Skills Data Science Data Collection Mathematics Stakeholder Relations Scikit-Learn Python (Programming Language) PySpark TensorFlow Artificial Inte more »