1 to 25 of 77 scikit-learn Jobs in England

Core competencies: Knowledge and experience in three or more of the following: Exploratory data analysis (e.g. Pandas, NumPy ) Statistics and machine learning (e.g. Scikit-learn, time-series analysis, Bayesian techniques ) Mathematical modeling of physical systems (e.g. physics, chemistry, systems biology ) Deep learning, computer vision and image processing (e.g. 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 »

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 »

SQL. Experience with machine learning techniques, including supervised and unsupervised learning, and deep learning. Proficiency in data analysis libraries such as pandas, numpy, scikit-learn, or TensorFlow. Familiarity with data visualisation tools (e.g., Tableau, Power BI, Matplotlib). Experience working with cloud platforms (AWS, Azure, GCP) and big 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 »

experience in Data Science, Machine Learning and AI Outstanding communications skills in English Proficiency in programming in Python Knowledge of Machine Learning frameworks (Scikit-learn) and LLM frameworks (e.g. Langchain) Knowledge of data preprocessing, feature engineering and model evaluation metrics Experience using large language models, generative AI and more »

Salesforce ). Technical Skills : Strong experience with Salesforce CRM and tools within the Salesforce ecosystem. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Proficiency in Python for developing AI models, data pipelines, and automation scripts. Expertise in SQL for querying large datasets and building database more »

evaluation techniques in object detection and recommendations Additional Skills Programming skills: Language: Python Frameworks and libraries: Core python libraries like pandas, numpy, opencv, scikit-learn etc. Pytorch, Keras, Tensorflow Huggingface, Langchain, Langgraphs Streamlit (or other alternatives) Cloud Technologies: AWS Knowledge of appropriate services within AWS (such as Lambda more »

an MS with industry or research experience in the field. Applied experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas). Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with more »

A Bachelors and Masters (preferred) in a relevant subject (Data Science, Computer Science etc) Proficiency in Python or R (with experience in pandas, scikit-learn, TensorFlow, PyTorch). Strong SQL skills for data extraction and manipulation. Experience with big data tools is a plus. Understanding of machine learning more »

oriented programming concepts. Experience in designing and implementing ETL pipelines, data warehousing, and data modeling. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Expertise in statistical modeling, machine learning algorithms, and data mining techniques. Familiarity with data visualization and reporting tools, such as Tableau, Power more »

with a track record of building and deploying models in a real-world setting. Strong Python skills and experience with libraries like pandas, scikit-learn, stan, pyro, matplotlib, and plotly. The ability to choose the right machine learning model for the job (linear/logistic regression, RFs, xgboost 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 »

data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of more »

data or commercial experience is a plus Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of 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 »

Knowledge of NLP techniques and tools. Deep understanding of neural networks and deep learning architectures Experience with popular libraries like Transformers, TensorFlow, PyTorch, Scikit-learn, Keras, etc. Ability to evaluate models using metrics like accuracy, precision, recall, F1 score, etc. Skills in model deployment, monitoring, and maintenance (MLOps more »

Data Analyst, Data Engineer or in a similar role. Knowledge of statistical modelling techniques, machine learning algorithms, and data visualisation tools (e.g., TensorFlow, scikit-learn, Tableau). Skilled in programming languages like Python, R, or Scala, with expertise in data manipulation and analysis libraries (e.g., pandas, NumPy). 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 »

algorithms applied to computer vision challenges Knowledgeable about key architectures like Vision Transformers, DeepLabv3, and SegFormer Proficient in Python and ML tools, including Scikit-Learn, NumPy, Pandas, PyTorch, TensorFlow, or Keras Capable of applying machine learning to solve real-world problems Please apply via the link for immediate 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 »

ML applications Person Spec: Ability to write robust code in Python and experience with relevant libraries (e.g. numpy, pandas, opencv, scipy, matplotlib, flask, scikit-learn) Knowledge of ML from a theoretical POV (gradient descent, loss functions, regularization etc) Knowledge of at least one of one deep learning framework more »