about 2 hours ago
London, United KingdomEntry Level
Responsibilities
- Design, develop, and deploy machine learning models and AI-driven pipelines for energy optimization.
- Collaborate with product managers, data scientists, and software engineers to create scalable AI solutions.
- Evaluate and integrate large language models and generative AI into Kaluza's product suite.
- Build robust ML infrastructure for model serving, monitoring, and retraining.
- Champion MLOps best practices to ensure model accuracy and explainability.
- Contribute to the technical direction of AI by staying updated on emerging research.
- Communicate model performance and opportunities to cross-functional stakeholders.
Requirements
- Proven experience as an AI or Machine Learning Engineer with a track record of production-grade models.
- Proficiency in Python and experience with ML frameworks like PyTorch, TensorFlow, or scikit-learn.
- Solid understanding of MLOps principles including model deployment and CI/CD for ML workflows.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker and Kubernetes.
- A collaborative, product-minded approach in agile teams.
- Strong analytical and problem-solving skills in fast-paced environments.
Benefits
- Pension Scheme
- Discretionary Bonus Scheme
- Private Medical Insurance + Virtual GP
- Life Assurance
- Access to a Climate Action app
- Free Mortgage Advice and Eye Tests
- Access to thousands of retail discounts
- 5% Flex Fund for personalized benefits
- 26 days holiday plus flexible bank holidays
- Progressive Leave Policy with full pay for new family additions
- Personal Learning Budget for professional development
- Home Office Budget
Tech Stack
Apache FlinkApache KafkaAWSAzureDockerGoogle Cloud PlatformKubernetesPythonPyTorchscikit-learnTensorFlow
Categories
AI & MLData Science