Glasgow, Scotland, United Kingdom Hybrid / WFH Options
Eden Scott
development using SwiftUI. Desirable experience C/C++ or other OO programming language Signal processing Image processing algorithms Data processing libraries e.g. Pandas, NumPy, SciPy ML & Big Data libraries e.g. TensorFlow or SKLearn Data communication with external devices using UDP/TCP sockets on POSIX compliant systems. TDD CI/ 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 »
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 »
Oxfordshire, England, United Kingdom Hybrid / WFH Options
ARCA
Opportunity to collaborate with industry-leading experts. What You’ll Be Doing Developing and implementing optimisation models using Python. Utilising libraries such as NumPy, SciPy, Pandas, and specialised optimisation libraries like Gurobi. Applying mathematical optimisation techniques to solve complex problems. Formulating and solving Mixed Integer Programming (MIP) and Linear Programming more »
Oxford, Oxfordshire, United Kingdom Hybrid / WFH Options
ARCA Resourcing Ltd
Opportunity to collaborate with industry-leading experts What You’ll Be Doing Developing and implementing optimisation models using Python. Utilising libraries such as NumPy, SciPy, Pandas, and specialised optimisation libraries like Gurobi. Applying mathematical optimisation techniques to solve complex problems. Formulating and solving Mixed Integer Programming (MIP) and Linear Programming 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 »
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 »