1 to 25 of 71 scikit-learn Jobs in England

Models: Build and deploy predictive models using techniques like regression, classification, clustering, and time series analysis. You'll use tools like TensorFlow, PyTorch, Scikit-learn, or similar frameworks to build models that forecast trends and automate decision-making processes. Data Exploration and Feature Engineering: Perform data wrangling, exploration more »

impactful projects. Expertise in driving data science initiatives with measurable business outcomes. Technical Skills : Strong proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Advanced knowledge of programming languages such as Python, R, or Scala. Experience working with large-scale data platforms (e.g., Spark, Snowflake, Hadoop more »

modeling, and algorithm development. Strong proficiency in Python and SQL. Proficiency in Python and libraries such as Pandas, NumPy, and machine learning tools (Scikit-Learn, TensorFlow, PyTorch). Proven experience working with cross-functional and cross-cultural teams Demonstrated leadership capabilities with excellent communication skills and the ability more »

programming skills in Python (as statistical and ML package tools). Proven expertise in advanced Python prototyping. Proficiency with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques (e.g., clustering, regression, decision trees). Advanced SQL skills and familiarity with big data technologies (Spark, Hadoop, Databricks). more »

equivalent experience. Customer-facing, project-delivery experience, professional services, and/or consulting experience. Preferred Qualifications Proficient in Python with experience in Pandas, Scikit-learn, and the Python ML stack; strong coding skills for developing and maintaining machine learning models. Proficient in additional programming languages such as C# 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 »

in a commercial setting. Strong programming skills in Python and experience with relevant statistics, machine learning, and visualisation libraries and frameworks (e.g., pandas, scikit-learn, stan, pyro, matplotlib, plotly, streamlit etc). Ability to identify and utilise appropriate machine learning models to fit requirements (linear/logistic regression more »

managing and mentoring teams. Technical Skills: Proficiency in programming languages such as Python, R, or similar. Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn). Strong knowledge of SQL and database management. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure). 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 »

experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to more »

experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to 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 »

squad 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 »

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 »

NLP, and LLMs Expert ability with ML/MLOps Experience mentoring/up-skilling more junior team members. Strengths in SQL, Python (Pandas, Scikit-Learn, PyTorch) PhD-level education and experience within Marketing is preferred. Experience in an academic/research background. If you think this opportunity could more »

consulting, with strong ETL pipeline development and cloud-based environment experience (Azure, AWS, DataBricks, or Snowflake). Proficient in Python (including numpy, pandas, scikit-learn), SQL, dimensional modeling, Power BI, Git, CI/CD, and VSCode/PyCharm. Proficiency in English and French is a strong advantage. Detail more »

consulting, with strong ETL pipeline development and cloud-based environment experience (Azure, AWS, DataBricks, or Snowflake). Proficient in Python (including numpy, pandas, scikit-learn), SQL, dimensional modeling, Power BI, Git, CI/CD, and VSCode/PyCharm. Proficiency in English and French is a strong advantage. Detail more »

We prioritise clean, well-tested code with a culture of documentation and knowledge sharing. Our tech stack includes GCP, Python, GitHub, PyTorch, TensorFlow, Scikit-learn, and XGBoost. With mature infrastructure and dedicated teams for Data Engineering, Analytics, and Platform Engineering, our Data Scientists enjoy high autonomy. We tackle more »

level). Expertise in NLP libraries such as spaCy, Transformers, Sentence Transformers, LangChain, LangGraph, LlamaIndex, BERTopic. Hands-on experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch). Experience with cloud platforms (AWS, Google Cloud, Azure) and version control systems (Git). Knowledge of SQL and database management. 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 »

remote (Adhoc London) Minimum Requirement: Experience writing high quality production-grade Python code, using a range of libraries and frameworks: Pandas, numpy, scipy, scikit-learn, Tensorflow, PyTorch, OpenCV, Pydantic etc. Experience with Oracle database and/or PostgreSQL. Being able to understand and write SQL queries to extract more »