our Senior Data Scientist you will have: At least 4 years Python programming experience At least 4 years experience with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) Experience applying models to Big Data 2 years experience building CI/CD pipelines using Kuberentes Exerience deploying to cloud (We use more »
our Senior Data Scientist you will have: At least 4 years Python programming experience At least 4 years experience with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) Experience applying models to Big Data 2 years experience building CI/CD pipelines using Kuberentes Exerience deploying to cloud (We use more »
fraud detection. Requirements: Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn). Database Skills: Fluency in SQL and familiarity with data visualization tools (e.g. more »
fraud detection. Requirements: Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn). Database Skills: Fluency in SQL and familiarity with data visualization tools (e.g. more »
Birmingham, Dickens Heath, West Midlands (County), United Kingdom Hybrid / WFH Options
Big Red Recruitment Midlands Limited
Hybrid – once a fortnight ideally. What we want from you. A minimum of one year of experience Python coding expeirence Experience in libraries like NumPy, SciPy, and Pandas Experience with deep learning frameworks such as PyTorch and TensorFlow Experience using GIT, or other codebases. Dat Science or Mathematics degree would more »
Chessington, London, United Kingdom Hybrid / WFH Options
Bennett and Game Recruitment LTD
building reliable and accurate reports, while Optimizing and maintaining relational databases (e.g., MySQL on MariaDB). Solid understanding of Python and its frameworks (primarily numpy and pandas libraries). Experience with front-end technologies such as HTML, CSS, JavaScript, and frameworks like JSON would be beneficial. Familiarity with version control more »
You Need to Succeed: Python Developer - Required: Proficient in Python (at least 1 year working in a professional setting) with experience in libraries like NumPy, SciPy, and Pandas Experience with deep learning frameworks such as PyTorch and TensorFlow Ability to write maintainable and efficient code under deadlines Proficiency in Git more »
week in every 4 Ideally you will have experience with: Relational database design and usage, including complex SQL coding Python data manipulation libraries (numpy, pandas, pyodbc) and GUI development (kivy, tkinter, PyQt5) Using Python to manipulate flat files (JSON, XML, CSV) and interface with databases Delivery of dashboard/reporting more »
Experience in deploying production ML systems. - Familiarity with DevOps in a data science context (e.g., MLOps) is a plus. Tools currently being used; - Python3, Numpy, Scipy, Xgboost - CI/CD: GitHub Actions, Jenkins, Docker - MLOps: DVC, MLflow - BI: Terraform, Airflow, BigQuery - LLMs: GPT, Claude And this is what you'll more »
/ML - About You: Top academics in a relevant field (Computer Science, Statistics, Mathematics) Strong command of Python and its data analysis libraries (e.g., numpy, scipy) Proven expertise in Python-based machine learning, optimization, and process mining Knowledgeable about MLOps principles, CI/CD, model versioning, monitoring, and deployment Competent more »
Cheltenham, Gloucestershire, United Kingdom Hybrid / WFH Options
yolk recruitment
to deliver superior software solutions. Skills Required: In depth experience designing & building backend applications in Python. Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Experience developing in a highly Agile/Scrum environment. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS more »
