Machine Learning Systems Developer
2 weeks ago
We are seeking an experienced Machine Learning Engineer to join our team at Harnham. The ideal candidate will have a strong foundation in machine learning algorithms, deep learning, data engineering, and experience in automating the deployment, monitoring, and scaling of models through ML Ops practices.
Key Responsibilities:- Design and Develop Machine Learning Models: Create and train machine learning models to solve complex business problems using various algorithms.
- Implement ML Ops Practices: Develop and deploy ML workflows, integrating version control, automation, and monitoring practices to streamline model development and deployment.
- Built End-to-End Pipelines: Build and maintain end-to-end machine learning pipelines for continuous integration, continuous deployment (CI/CD), and model retraining.
- Automate Model Training and Deployment: Automate model training, testing, and deployment processes, ensuring high levels of efficiency and reliability in production.
- Strong Foundation in Machine Learning: Proven expertise in machine learning algorithms, deep learning, and data engineering.
- Experience with ML Ops: Experience in automating the deployment, monitoring, and scaling of models through ML Ops practices.
- Cloud Platforms: Proficiency in cloud platforms (e.g., AWS, Azure, GCP) for model deployment and infrastructure management.
- Competitive Salary: £90,000 - £110,000 per annum
- Benefits Package: Comprehensive benefits package, including health insurance, retirement plan, and paid time off.
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