AI Engineer
Tasks
- Apply MLOps for model deployment monitoring and lifecycle management
- Build and integrate LLMs and multi-agent systems
- Design and deploy secure scalable reusable AI and Intelligent Automation solutions
- Develop and maintain back end AI applications and services
- Develop front end interfaces for AI applications
- Ensure AI system security and compliance with GDPR and EU AI Act
- Integrate front end components with AI APIs using REST and GraphQL
- Maintain documentation for AI models
- Operate and continuously improve AI solutions performance monitoring and optimization
- Translate business requirements into production ready AI solutions
Perks/Benefits
- Accreditations support
- Bike to work
- Career progression mentorship
- Educational assistance
- Employee assistance programme
- Fitness classes
- Flexible working
- Gym discounts
- Incentivized certifications
- Life assurance
- Mindfulness workshops
- Private healthcare
- Quarterly pathways career development programme
- Quarterly profit share
- Remote Working
Skills/Tech-stack
.NET | AWS SageMaker | Agile | Angular | Azure ML | CSS | End to End | End-to-End Testing | GraphQL | HTML | Integration Testing | JavaScript | LLM | Langchain | MLOps | Machine Learning | Prompt engineering | PyTorch | Python | REST | React | Responsible AI | Scrum | Semantic Kernel | TensorFlow | TypeScript | Unit Testing | Vue.js
Education
N/A
Roles
AI | AI Engineer | Engineer
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