
Senior AI/ML Architect
- London
- Permanent
- Full-time
- Design and deliver end-to-end ML solutions, including classical ML, deep learning, and generative AI
- Create technical proposals, reference architectures, and deployment plans
- Lead workshops, POCs, and architecture reviews with startup customers
- Translate business needs into scalable ML systems
- Implement distributed training workflows and LLM serving infrastructure
- Build MLOps pipelines for tracking, versioning, and monitoring
- Provide technical guidance to customers and internal teams
- Stay up to date on ML trends and contribute to internal enablement
- Frequent travels - locally (on-demand to meet with customers and partners and attend local events) and abroad (at least once a quarter).
- Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
- International work environment
- Referral program – enjoy cooperation with your colleagues and get a bonus
- Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
- Wellbeing and professional coaching
- English classes
- Soft skills training
- 7+ years in software engineering, data science, or ML roles
- 3+ years deploying ML solutions in production
- Hands-on experience with AWS ML services (SageMaker, Bedrock, etc.)
- Experience with distributed training (Horovod, Ray, etc.)
- Proven work with generative AI and LLM applications
- Strong Python and ML framework skills (PyTorch, TensorFlow, etc.)
- Experience with MLOps practices and tools
- Strong communication and customer-facing skills
- Familiarity with Docker, Kubernetes, and Terraform – an advantage
- AWS ML Specialty or Solutions Architect certification – an advantage
- Experience with vector DBs, RAG systems, or edge ML – an advantage
- Master’s degree in a relevant field – an advantage
- Industry-specific experience (finance, healthcare, etc.) – an advantage