Accelerate researchers by taking on the heavy parts of large-scale ML pipelines and building robust tools.
Interface cutting-edge research with production: integrate checkpoints, streamline evaluation, and expose APIs.
Conduct experiments on the latest deep-learning techniques (sparsified 70 B + runs, distributed training on thousands of GPUs).
Design, implement and benchmark ML algorithms; write clear, efficient code in Python.
Deliver prototypes that become production-grade components for Le Chat and our enterprise API.

Master’s or PhD in Computer Science (or equivalent proven track record).
4 + years working on large-scale ML codebases.
Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s).
Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops.
Strong software-design instincts: testing, code review, CI/CD.
Self-starter, low-ego, collaborative.

💰 Competitive cash salary and equity
🥕 Food: Daily lunch vouchers
🥎 Sport: Monthly contribution to a Gympass subscription
🚴 Transportation: Monthly contribution to a mobility pass
🧑‍⚕️ Health: Full health insurance for you and your family
🍼 Parental: Generous parental leave policy
🌎 Visa sponsorship
💰 Competitive cash salary and equity
🚑 Insurance
🚴 Transportation: Reimburse office parking charges, or £90 per month for public transport
🥎 Sport: £90 per month reimbursement for gym membership
🥕 Meal voucher: £200 monthly allowance for meals
💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)

Research Engineer, Machine Learning

Key skills