Manchester Area, United Kingdom Hybrid / WFH Options
Harnham
tests, and monitoring pipelines Stay current with advances in machine learning and apply them where appropriate Tech Stack: Python (Pandas, Polars, SciPy, Scikit-learn, NumPy) Dagster, Argo, GCP Kibana, Elastic DevOps-first approach for model deployment Skills & Experience: Essential: Strong background in statistics, machine learning, and time series forecasting Experience More ❯
scalable backend systems. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS) or Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Excellent communication, collaboration & problem solving skills, ideally with some experience in agile ways of working. Security clearance: You must be able More ❯
in a real-life customer environment Qualifications: Essential Strong software engineering and programming skills in Python and ideally in an ML/CV environment ( Numpy , OpenCV) Experience with CI/CD systems , with a test-driven development approach In-depth k nowledg e of Linux operating systems Strong communication skills More ❯
a model - adding logic, enhancements, and/or information to improve performance Test the overall solution to see how it performs Key experience: Python (NumPy/OpenCV)/PyTorch/TensorFlow Good understanding of AI/ML Models (DeepLearning/Computer Vision) CI/CD TDD Linux Why join them More ❯
Manchester Area, United Kingdom Hybrid / WFH Options
NearTech Search
a model - adding logic, enhancements, and/or information to improve performance Test the overall solution to see how it performs Key experience: Python (NumPy/OpenCV)/PyTorch/TensorFlow Good understanding of AI/ML Models (DeepLearning/Computer Vision) CI/CD TDD Linux Why join them More ❯
inputs, and logic behind model performance Refine and test solutions to ensure they perform in production scenarios What You’ll Need Strong Python skills (NumPy, OpenCV) Familiarity with PyTorch or TensorFlow Experience working with ML pipelines and tooling (CI/CD, TDD) Comfortable working in a Linux environment Good understanding More ❯
