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Member of Technical Staff, Applied AI

Latent Labs· AI Integration
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Hybrid (London)Full-timePosted 8mo ago

About the role

Role focusing on generative modelling at the frontier between Latent Labs’ models and customer environments, primarily in pharmaceutical and biotech sectors, with hybrid work in London.

Responsibilities

  • Develop a deep working understanding of our generative models - their architectures, training data, capabilities and limitations.
  • Collaborate in a joint codebase with other research scientists, engineers and protein designers, maintaining highest code standards.
  • Drive the end-to-end technical deployment of Latent Labs models into customer environments, designing production-grade API integrations and model-serving infrastructure.
  • Adapt and fine-tune models to meet specific customer requirements, collaborating closely with our research team to ensure scientific rigour.
  • Build ML data pipelines for customer-specific inference, evaluation and feedback workflows.
  • Ensure deployments meet customer standards for security, performance and reliability.
  • Work embedded with pharmaceutical and biotech partners to scope technical requirements, troubleshoot issues and deliver solutions.
  • Serve as the technical point of contact for assigned customers, building trusted relationships with their scientific and engineering teams.
  • In collaboration with customer biology teams, plan and carry out model inference against biological targets. Quickly learn from results and feed insights back to our models.
  • Gather and synthesise customer feedback, translating it into actionable insights for our product, research and platform teams.
  • Create technical documentation, integration guides and best-practice resources.
  • Spend time working on-site at international partner locations as needed.
  • Stay on top of the latest developments in ML, model serving and cloud-native tooling.
  • Gain a strong working understanding of protein and cell biology.
  • Collaborate in a joint codebase with other research scientists, engineers and protein designers, maintaining highest code standards.
  • Participate in knowledge sharing, e.g. organise and present at our internal reading group.
  • Attend and present at conferences.

Qualifications

  • Strong ML researcher with experience in generative modelling.
  • Contributions to widely used open source libraries, significant product launches or high impact publications.
  • Deep understanding of generative model architectures, training dynamics and inference behaviour.
  • Skilled ML developer with experience in production code, version control, code review, APIs, and cloud-based inference.

Skills

Required:Generative modellingProduction ML engineeringCustomer-facing communicationModel deployment & instrumentation
Nice to have:Biology literacy

Benefits

  • Private health insurance
  • Pension contributions
  • Generous leave policies (including gender neutral parental leave)
  • Hybrid working
  • Travel opportunities and more
Last updated Aug 5, 2026. Interested? Apply on the company site.

About Latent Labs

Frontier models for all molecules of life

We are making biology programmable to transform health and sustainability for the benefit of all. We build generative models that capture the fundamentals of biology, empowering partners with breakthrough AI to create antibodies, optimize enzymes, and advance genetic engineering.

BiologyAIGenomicsProtein DesignGenetic EngineeringMachine Learning
Company profileWebsite

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