Staff ML Engineer – Diffusion Models & Hybrid Work

Enigma; Greater London; Hybrid; GBP 120,000 - 150,000; Full time

Benefits offered by this job

Pension contributions

Generous annual leave

Hybrid working arrangements

Opportunities for international travel

Collaborative environment focused on技术

Job summary

Enigma, a London-based AI research company, seeks a hybrid Member of Technical Staff to advance generative models and deploy them into customer environments. You will bridge research and production, collaborating with ML researchers, software engineers and domain specialists to deliver impactful scientific and industrial applications.

The role blends research and engineering, requiring hands-on experience with modern generative models, scalable inference and API-based serving in cloud

Qualifications

• Strong background in ML with generative modelling.
• Contributions through research publications, open-source software, or production ML systems.
• Deep understanding of generative model architectures, training methodologies and inference.

Responsibilities

• Develop deep understanding of the company's generative models and their capabilities.
• Collaborate with researchers and engineers within a shared codebase while maintaining high engineering standards.
• Deploy, integrate and serve models within customer production environments.
• Adapt and fine-tune models to meet customer-specific requirements.
• Build ML data pipelines supporting inference, evaluation and feedback workflows.
• Ensure deployments meet security, performance and reliability requirements.
• Work closely with customers to understand tech requirements and deliver solutions.
• Act as a trusted technical advisor throughout customer engagements.

Skills

Generative modelling

Machine learning engineering

Model deployment

Customer delivery

Distributed training

Tools

Python

PyTorch

APIs

Cloud infrastructure

Job description

Enigma, a London-based AI research company, seeks a hybrid Member of Technical Staff to advance generative models and deploy them into customer environments. You will bridge research and production, collaborating with ML researchers, software engineers and domain specialists to deliver impactful scientific and industrial applications.

The role blends research and engineering, requiring hands-on experience with modern generative models, scalable inference and API-based serving in cloud