AI Engineer
London, Birmingham, Manchester, Newcastle upon Tyne, Edinburgh, Belfast, England, United Kingdom
GBP 58K-90K (estimate) Mid-level Full Time
Tasks
- Automate ML training validation and retraining pipelines
- Build and deploy machine learning models
- Create model monitoring and performance tracking
- Deploy and serve models via REST APIs
- Design evaluation frameworks for quality safety and reliability
- Design retrieval-augmented generation systems
- Develop AI agents and workflows
- Develop generative AI applications
- Implement experiment tracking and reproducibility
- Implement feature engineering pipelines
- Implement vector search and knowledge retrieval
- Integrate foundation models into enterprise applications
- Manage datasets features and model artifacts
- Manage feature stores and data pipeline reliability
- Mitigate hallucinations and improve response accuracy
- Monitor model drift and performance degradation
- Optimize model inference performance
- Participate in code reviews and technical design discussions
- Train fine tune evaluate and deploy ML models
Perks/Benefits
- Bike to work
- Career development program
- Educational assistance
- Employee assistance program
- Employee discount
- Employee wellbeing schemes
- Fitness classes
- Flexible remote working
- Generous holiday allowance
- Gym discounts
- Incentivised certifications and accreditations
- Life assurance
- Mentorship and coaching
- Mindfulness workshops
- Pension
- Private healthcare
- Quarterly performance related profit share
Skills/Tech-stack
AWS | Azure | CI/CD | Databricks | Docker | GCP | Generative AI | Hugging Face | Kubernetes | LLM | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scikit-learn | Semantic Kernel | Snowflake | TensorFlow | Vector Databases | Vector Search
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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