Machine Learning Engineer III
London, United Kingdom
GBP 72K-85K (estimate) Senior-level Full Time
Tasks
- Apply NLP for real world problems
- Build and optimize deployed models
- Build chatbot and intent recognition systems
- Collaborate across disciplines to deliver business impact
- Communicate analytics to stakeholders and leadership
- Design ranking systems
- Develop Agentic AI systems
- Develop machine learning solutions
- Develop recommender systems
- Implement computer vision models
- Implement monitoring and model governance
- Own full model lifecycle from data to deployment
- Perform feature engineering
- Prepare and clean large datasets
- Run offline evaluation and online evaluation
Perks/Benefits
- Access to learning platform
- Adoption Assistance
- Flexible benefits
- Health and welfare insurance
- Inclusion groups
- Internal job opportunities
- Leadership courses
- Parental leave
- Retirement programs
- Travel perks
- Wellbeing resources
Skills/Tech-stack
AWS | AWS SageMaker | Agentic AI | Amazon Bedrock | Bayesian Methods | Clustering | Computer Vision | Data Cleansing | Data Pipelines | Deep learning | Ensemble Methods | Feature Engineering | Feature Store | Generative AI | Hugging Face | Kubernetes | LLMs | Language Processing | MLOps | MLflow | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | Offline evaluation | Online evaluation | PySpark | PyTorch | Python | RAG | Ranking | Recommender Systems | SQL | Scikit-learn | Statistical modeling | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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