26 to 50 of 137 Open Source Jobs in the South East

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 ...

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 ...

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. Other common names for this role: C++ Developer, Staff C++ Engineer ...

that scale across thousands of nodes • Performance-critical modules for consensus, networking, and data pipelines • Internal tooling for observability, testing, and simulation • Contributions to open-source infra and protocol-level primitives What You Bring • 5+ years of backend engineering experience in systems-level environments • Deep knowledge of distributed … cloud-native infra • Familiarity with blockchain, cryptographic protocols, or decentralized coordination Bonus Points • Experience in zero-knowledge systems, MPC, or verifiable computation • Contributions to open-source infra projects • Prior work in Layer 1 or Layer 2 blockchain development Why Join • Stealth-stage impact with protocol-grade ownership • Competitive ...

Edge Technology: Get hands-on with the full Esri product suite (ArcGIS Pro, Enterprise, AGOL), Microsoft Azure, MS SQL Server, PostgreSQL and the latest open-source platforms - plus AI/ML frameworks that power truly intelligent mapping and analytics. Diverse, High-Impact Projects: From single-discipline proofs ...

case-management or service-orchestration platforms Understanding of agentic AI capabilities and how they can complement workflow automation Experience mentoring developers or contributing to open-source Camunda extensions Already holding UK security clearance (SC, DV, eDV) What They Offer A company option scheme gives their employees a stake ...

systems experience Excellent written and verbal communication skills for both technical and non-technical audiences Desirable/Bonus Skills FreeSWITCH configuration and/or source code knowledge C/C++ for open-source troubleshooting Kamailio configuration experience Auth0/OAuth 2.0 MongoDB or MySQL GitHub Actions ...

systems) Docker containerisation Linux (Ubuntu-based) environments A full driving licence and car due to the clients location Desirable Skills FreeSWITCH (configuration and, ideally, source code) C/C++ (for open-source troubleshooting or minor code changes) Kamailio Auth0/OAuth 2.0 MongoDB and/or MySQL ...

modern engineering practices (Git-based workflows, DevOps, observability, automation) Experience working in agile delivery environments using tools such as Jira or Confluence Familiarity with open-source tooling and communities Experience with cloud security, vulnerability scanning, and risk management tools Strong knowledge of networking concepts for large-scale, container ...

experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps ...

ability to work independently and collaboratively Highly desirable AWS certifications (e.g., DevOps Engineer, Solutions Architect) Experience with AWS generative AI services (Bedrock, SageMaker) Open-source contributions demonstrating engineering best practices Benefits Work on cutting-edge generative AI projects Join a talented, innovative team Competitive salary and benefits package ...

Science, Engineering, or related field (PhD preferred). Nice to Have: Experience building Agentic applications Experience training or fine-tuning foundation models. Contributions to open-source ML or LLM frameworks. Understanding of Responsible AI, bias mitigation, and model interpretability. Perks of Freelancing With Turing: Work in a fully ...

Science, Engineering, or related field (PhD preferred). Nice to Have: Experience building Agentic applications Experience training or fine-tuning foundation models. Contributions to open-source ML or LLM frameworks. Understanding of Responsible AI, bias mitigation, and model interpretability. Perks of Freelancing With Turing: Work in a fully ...