opportunities for improvement. Qualifications Maths/Computer Science/Engineering Masters or PhD from a top-ranked institution Experience with common Python libraries: NumPy, SciPy, Pandas, SQLite etc A firm grasp of advanced undergraduate maths degree topics, in particular - Linear Algebra, Complex numbers, Optimisation theory, Machine learning Experience or demonstrable more »
and analytical techniques and concepts sampling methods, Regression Properties of distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is more »
Data Scientist Up to £50,000 Gaming Company - Mobile and App! Full-Time in the Office A Game Development Company renowned for its popular sports games are hiring for a Data Scientist to sit within their growing Data Science team more »
Birmingham, Dickens Heath, West Midlands (County), United Kingdom Hybrid / WFH Options
Big Red Recruitment Midlands Limited
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 be more »
years of hands-on experience adapting the following technologies in the development of novel technology-based approaches as part of research projects: NumPy, SciPy, scikit-learn, TensorFlow, Pytorch, Keras, Genism, etc. Strong and proven customer relationship skills including the ability to discover the true technical challenges and requirements associated with more »
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, and more »
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 get 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 in more »
