AI Engineer
GBP 60K-90K (estimate) Mid-level Full Time
Tasks
- Automate ML training validation and retraining pipelines
- Build and maintain AI applications and services
- Build feature engineering and model evaluation pipelines
- Collaborate with product and engineering teams
- Deploy and serve ML models using REST APIs
- Design and implement retrieval-augmented generation systems
- Develop LLM based applications and workflows
- Develop and deploy machine learning solutions
- Implement experiment tracking and reproducibility
- Implement model monitoring and performance tracking
- Implement vector search and knowledge retrieval
- Manage datasets features and model artifacts
- Monitor model drift and degradation in production
- Participate in code reviews and technical design discussions
- Support testing deployment and optimization
- Train fine tune evaluate and deploy ML models
Perks/Benefits
- Bike to work
- Career progression pathways career development programme
- Educational assistance
- Employee assistance programme
- Employee discount
- Enhanced maternity/paternity leave
- Financial advice
- Fitness classes
- Flexible remote work
- Generous holiday allowance
- Gym discounts
- Incentivized certifications and accreditations
- Life assurance
- Marriage civil partnership leave
- Mentorship
- Mentorship coaching
- Mindfulness workshops
- Pension
- Private healthcare
- Quarterly performance related profit share
Skills/Tech-stack
AWS | Azure | CI/CD | Databricks | Docker | Feature Engineering | GCP | Generative AI | Hugging Face | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLflow | Machine Learning | Model Drift | Model Evaluation | Model Monitoring | PyTorch | Python | REST APIs | Retrieval-Augmented Generation | SQL | Scikit-learn | Semantic Kernel | Snowflake | Supervised Learning | TensorFlow | Unsupervised Learning | Vector Search
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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