1 to 25 of 53 Permanent Open Source Jobs in the East Midlands

Lead Software Engineer Salary: £70,000 - £80,000 Location: Leicester (Hybrid - 2 days per week in office: Tuesday & Thursday) Industry: Open-Source/Enterprise Web Applications The Opportunity I'm recruiting for an ambitious Leicester-based tech company that's expanding its engineering leadership team. This role … mentor a team, and deliver enterprise-grade solutions. You'll lead a team of around 15 developers, working in a collaborative environment that values open-source contributions, code quality, and professional growth. What You'll Be Working On Leading the design, development, and maintenance of scalable web applications ...

Level Software Engineer Salary: £45,000 - £55,000 Location: Derby (Hybrid - 1 day per week in office) Industry: Open-Source/Cloud-Based Platforms The Opportunity I'm recruiting for a forward-thinking Derby-based tech company that's expanding its engineering team. This role is perfect … level Software Engineer who wants to work on scalable open-source applications while learning from a supportive senior team. You'll join a team of around 10 developers, working in a collaborative environment where code quality, innovation, and professional development are genuinely encouraged. What You'll Be Working ...

Improving system performance, reliability, and security Projects include API-first platforms, data-driven services, and internal tooling that supports customer-facing applications. Tech Stack (Open-Source) Backend: Node.js (TypeScript) Frameworks: Express or NestJS APIs: REST, GraphQL Databases: PostgreSQL, MongoDB Infrastructure: Linux, Docker, CI/CD pipelines Cloud … Commercial experience as a Software Engineer Strong experience building backend services with Node.js Familiarity with TypeScript and modern JavaScript practices Experience working with open-source technologies in production Comfortable owning features from development through to delivery A collaborative mindset and experience working in Agile teams Salary & Benefits Salary ...

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 ...

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 ...

supported in pushing the envelope alongside top pioneers in verification. Responsibilities Design and maintain robust testbenches and targeted tests using the organisation's mixed open-source and proprietary verification environment. Develop and own comprehensive verification plans, ensuring coverage goals and test strategies are clear and defensible. Identify … resolve design defects efficiently. Oversee and refine the test infrastructure, including management of test suites, CI pipelines, and the improvement of both internal and open-source tooling. Requirements Strong debugging and analytical capability, able to isolate and resolve complex RTL and testbench issues efficiently. At least two years ...

supported in pushing the envelope alongside top pioneers in verification. Responsibilities Design and maintain robust testbenches and targeted tests using the organisation's mixed open-source and proprietary verification environment. Develop and own comprehensive verification plans, ensuring coverage goals and test strategies are clear and defensible. Identify … resolve design defects efficiently. Oversee and refine the test infrastructure, including management of test suites, CI pipelines, and the improvement of both internal and open-source tooling. Requirements Strong debugging and analytical capability, able to isolate and resolve complex RTL and testbench issues efficiently. At least two years ...

supported in pushing the envelope alongside top pioneers in verification. Responsibilities Design and maintain robust testbenches and targeted tests using the organisation's mixed open-source and proprietary verification environment. Develop and own comprehensive verification plans, ensuring coverage goals and test strategies are clear and defensible. Identify … resolve design defects efficiently. Oversee and refine the test infrastructure, including management of test suites, CI pipelines, and the improvement of both internal and open-source tooling. Requirements Strong debugging and analytical capability, able to isolate and resolve complex RTL and testbench issues efficiently. At least two years ...

supported in pushing the envelope alongside top pioneers in verification. Responsibilities Design and maintain robust testbenches and targeted tests using the organisation's mixed open-source and proprietary verification environment. Develop and own comprehensive verification plans, ensuring coverage goals and test strategies are clear and defensible. Identify … resolve design defects efficiently. Oversee and refine the test infrastructure, including management of test suites, CI pipelines, and the improvement of both internal and open-source tooling. Requirements Strong debugging and analytical capability, able to isolate and resolve complex RTL and testbench issues efficiently. At least two years ...

supported in pushing the envelope alongside top pioneers in verification. Responsibilities Design and maintain robust testbenches and targeted tests using the organisation's mixed open-source and proprietary verification environment. Develop and own comprehensive verification plans, ensuring coverage goals and test strategies are clear and defensible. Identify … resolve design defects efficiently. Oversee and refine the test infrastructure, including management of test suites, CI pipelines, and the improvement of both internal and open-source tooling. Requirements Strong debugging and analytical capability, able to isolate and resolve complex RTL and testbench issues efficiently. At least two years ...

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 ...

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 ...