Machine Learning Engineer II
GBP 124K-186K Mid-level Full Time
Tasks
- Collaborate with cross functional teams to deliver predictive models
- Design and implement data and ML pipelines
- Lead ML projects from conception to production
- Mentor guide junior team members and establish best practices
- Monitor model efficacy throughput and latency
- Perform feature engineering and data cleaning
- Productionize deploy and integrate ML models
- Research design develop and maintain machine learning models
- Stay up to date with ML AI research and innovations
- Train, evaluate, and fine-tune models
Perks/Benefits
- Comprehensive benefits package
- Cross-functional collaboration
- Hybrid work model
- Learning opportunities
- Mentoring culture
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | AWS RDS | Amazon Athena | Amazon ECS | Amazon Kinesis | Amazon Redshift | Amazon S3 | Amazon SageMaker | Anomaly Detection | Bedrock | C++ | Classification | Data Pipelines | Feature Engineering | Fine Tuning | Huggingface | Hypothesis Testing | Infrastructure as Code | Java | Kotlin | Langchain | Linear Algebra | Llamaindex | Model Deployment | Model Evaluation | Model Fine-tuning | Model Training | N8n | NLTK | OpenCV | Probability | PyTorch | Python | Regression | Series analysis | Spacy | Spring AI | Stochastic Optimization | Tesseract | Time Series | Time Series Analysis | Version control | “as-code”
Education
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