4 of 4 Open Source Jobs in Woking

like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. How we work: We are a small, early-stage team with big ambitions. … motivated by impact tend to thrive. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally. Open-source: Contributions to and experience in open-source projects. Startup experience: Experience in an early-stage startup environment. Why join ...

ones fall short. What You'll be Doing Build end-to-end training pipelines: data → training → eval → inference Design new model architectures or adapt open-source frontier models Fine-tune models using state-of-the-art methods (LoRA/QLoRA, SFT, DPO, distillation) Architect scalable inference systems using … owning ambiguous, zero-to-one technical problems end-to-end Nice to Have Experience with LLM inference frameworks (vLLM, TensorRT-LLM, FasterTransformer) Contributions to open-source ML libraries Background in scientific computing, compilers, or GPU kernels Experience with RLHF pipelines (PPO, DPO, ORPO) Experience training or deploying multimodal ...

doing: Developing geospatial web applications (front end and back end) Building and optimising spatial databases and data pipelines Automating geospatial workflows using Python and open-source tools Performing spatial and 3D analysis for offshore infrastructure projects Supporting containerised (Docker) environments and application testing Collaborating with multidisciplinary geoscience ...

platform designed around deep candidate analysis, structured evaluation, and intelligent matching. Our mission is to build a tool which allows hiring companies to successfully source candidates directly, and alleviate the need for external recruitment agencies. The technical foundations already exist: cloud infrastructure, LLM pipelines, scoring logic, and multi-tenant … architectures, prompt pipelines, and structured outputs Strong understanding of model evaluation, explainability, and output validation Model Development Experience with fine-tuning or training models (open-source or proprietary) Understanding of model lifecycle management, data pipelines, and inference optimisation Familiarity with moving from API-based LLMs to self-hosted ...