About the Role
The role involves developing and shipping AI-powered features, from prototyping to production, with a focus on practical implementation and user impact.
Compensation
Competitive salary and equity package
Work Arrangement
Hybrid work model with office presence in London
Team
Small, cross-functional team focused on rapid AI product development
What You’ll Do
- Design and implement machine learning models for real-world applications
- Collaborate with engineers and product teams to integrate AI features
- Evaluate model performance and iterate based on feedback
- Work with large datasets to train and fine-tune models
- Develop tools to automate data processing and model deployment
- Stay current with advancements in AI and apply relevant techniques
- Contribute to architectural decisions for scalable AI systems
- Optimize models for speed and efficiency in production environments
- Assist in defining success metrics for AI-driven features
- Troubleshoot issues across the AI pipeline from data to inference
What We’re Looking For
- Proven experience building and deploying AI systems
- Strong programming skills in Python or similar languages
- Familiarity with deep learning frameworks such as PyTorch or TensorFlow
- Experience with cloud platforms like AWS, GCP, or Azure
- Understanding of data pipelines and ETL processes
- Knowledge of NLP, computer vision, or generative models
- Ability to work independently and ship code quickly
- Background in computer science, statistics, or related field
- Track record of delivering AI projects end-to-end
- Clear communication skills for technical and non-technical audiences
Nice to Have
- Contributions to open-source AI projects
- Experience with MLOps tools and practices
- Published research or work in AI domains
- Familiarity with edge deployment of models
- Experience in startup or high-growth environments
Available for qualified candidates
