Visionary Machine Learning Engineer
1 week ago
About Us
Our MissionWe are revolutionising the legal industry by tackling complex information management challenges.
We're building innovative tools to help lawyers work more efficiently and effectively.
As a Senior Machine Learning Software Engineer, you'll drive forward research and implementation on cutting-edge models and infrastructure that transform how legal professionals interact with data.
You'll develop production-grade transformer models, build simulation environments for synthetic data, and design scalable inference systems - all while collaborating with a high-performing team.
Fine-tune and iterate on transformer-based models — LLMs, embedding models, cross-encoders, and other components of modern LLM pipelines.
Design scalable, low-latency inference systems with monitoring, optimisation, and dynamic scaling.
Build synthetic data pipelines and Gym-style simulation environments to support model evaluation.
Lead experimental ML initiatives that drive product innovation and long-term value.
Required Skills and Qualifications- Experience training and iterating on production transformer models and LLM pipelines.
- Hands-on expertise with PyTorch, high-level ML frameworks, and inference engines (e.g. vLLM, SGLang, TensorRT).
- Profound grasp of the forefront of ML and LLMs, from weight quantisation to the nuances between MLA and GQA.
- Self-motivated learner who stays current with ML research and contributes to team knowledge sharing.
- Career growth - Join early and grow with us in a fast-scaling environment.
- Direct impact - Work closely with founders, legal experts, and engineers to shape the future of legal AI.
- Equity - Share in our success with meaningful ownership in the company.
- Purposeful work - Build technology that transforms how the legal industry works from the ground up.
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