AI / ML Engineer
Tasks
- Apply data protection and compliance practices
- Automate business processes to reduce manual effort
- Build and deploy AI features into enterprise workflows
- Collaborate with IT business stakeholders and data governance
- Design AI/ML models
- Develop chatbots and copilots
- Ensure responsible AI governance and model quality
- Prepare structured and unstructured datasets
- Prototype AI solutions and evaluate tools
Perks/Benefits
- Career development
- Central London team meetups
- Flexible working arrangements
- Hybrid work model
- International exposure
- Mentorship
- Training and learning opportunities
- Work-life balance
Skills/Tech-stack
AI SDK | Agile | Artificial Intelligence | Azure AI | Azure AI SDK | Azure OpenAI | Chatbot Development | Copilot Studio | Data Engineering | Data Governance | Data Protection | Dataset Preparation | Langchain | Machine Learning | Machine Learning Pipelines | Model Evaluation | OpenAI SDK | Pandas | Power Platform | Python | Responsible AI | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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