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 »
Nottinghamshire, Basford, United Kingdom Hybrid / WFH Options
Xpertise Recruitment
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 »
skills in Python, R, or similar languages. Proficiency in SQL and experience working with databases. Experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). Hands-on experience with data visualization tools (Tableau, Power BI, matplotlib, seaborn). Knowledge of cloud platforms (AWS, GCP, Azure 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 »
Stevenage, England, United Kingdom Hybrid / WFH Options
Capgemini Engineering
techniques, including LLMs, GenAI, and automated AI systems.• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn).• Proficiency in Python, R, or other relevant programming languages.• Proficiency in working with large datasets, data wrangling, and data preprocessing.• Experience in more »
in programming languages such as Python for data analysis and modelling. Strong understanding of statistical concepts and experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data visualization tools (e.g., Power BI, plotly, matplotlib). Experience with big data and cloud technologies (e.g., DataBricks more »
in programming languages such as Python for data analysis and modelling. Strong understanding of statistical concepts and experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data visualization tools (e.g., Power BI, plotly, matplotlib). Experience with big data and cloud technologies (e.g., DataBricks more »
in programming languages such as Python for data analysis and modelling. Strong understanding of statistical concepts and experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data visualization tools (e.g., Power BI, plotly, matplotlib). Experience with big data and cloud technologies (e.g., DataBricks 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 programming languages such as Python for data analysis and modelling. Strong understanding of statistical concepts and experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data visualization tools (e.g., Power BI, plotly, matplotlib). Experience with big data and cloud technologies (e.g., DataBricks more »
in programming languages such as Python for data analysis and modelling. Strong understanding of statistical concepts and experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data visualization tools (e.g., Power BI, plotly, matplotlib). Experience with big data and cloud technologies (e.g., DataBricks more »
in programming languages such as Python for data analysis and modelling. * Strong understanding of statistical concepts and experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). * Experience with data visualization tools (e.g., Power BI, plotly, matplotlib). * Experience with big data and cloud technologies (e.g., DataBricks 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 »
data handling, model development, and deployment. Proficiency in programming languages, including Python. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-Learn, etc. Experience developing Python APIs using tools such as FastAPI. Knowledge of database technologies (SQL, MongoDB, Databricks) and data pipeline tools. Familiar with 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 »
Birmingham, West Midlands, United Kingdom Hybrid / WFH Options
Be Technology
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 »
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 »
creating tailored reports. Skills Required: Demonstrate 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. You must be able to understand and write SQL queries more »
creating tailored reports. Skills Required: Demonstrate 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. You must be able to understand and write SQL queries more »
gaming, or financial industries. Technical Expertise: Proficiency in Python or R, with deep knowledge of data analysis and machine learning libraries such as Scikit-learn, TensorFlow, and Keras. Analytical Skills: Strong quantitative and analytical skills, with a proven ability to derive actionable insights from large datasets. MLOps Knowledge 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, ScikitLearn, 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, ScikitLearn, PyTorch, Tensorflow) Experience driving ML & data science solutions into production You can put the numbers into a business perspective - you’re a data more »
