1 to 25 of 117 Open Source Jobs in the South East

Level Software Engineer Salary: £45,000 - £55,000 Location: Oxford (Hybrid - 3 days per week in office) Industry: Open-Source Software/Digital Platforms The Opportunity I'm recruiting for an innovative Oxford-based tech company that's expanding its engineering team to support its growing suite … open-source digital platforms. This role is perfect for a mid-level Software Engineer who wants to take on exciting projects while benefiting from mentorship and guidance from a supportive senior engineering team. You'll join an engineering team of around 12 developers, working in a collaborative environment ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

based The Full Stack Developer will be responsible for the development and testing of a full stack web application using modern Microsoft and Open-source technology Profile Full stack web development using Microsoft and open-source technologies Backend C# development Frontend Angular/JavaScript/TypeScript ...

full software development lifecycle, including architecture, technical design, C++ development, bug fixing, as well as functional and performance validations. Be part of the open-source XRP ledger community, setting high standards for coding, testing, and deployment. Actively participate in code reviews to maintain the high quality … Ability to learn new technologies and languages quickly. Ability to independently solve highly complex problems with creative solutions. Nice to have: Experience in developing open-source software and contributing to collaborative blockchain communities. WHO WE ARE: Do Your Best Work The opportunity to build in a fast-paced ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...