1 to 25 of 58 Open Source Jobs in the 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 ...

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 ...

office) Industry: Sustainable Technology/Data & Analytics Platforms The Opportunity I'm recruiting for a growing Birmingham-based tech company that's building open, scalable software used to power data-driven platforms in the sustainability and energy space. This is an exciting opportunity for a Senior Software Engineer … Working closely with Product, Design, and Data teams Projects include customer-facing dashboards, data ingestion services, internal tooling, and API-first platforms. Tech Stack (Open-Source) Backend: PHP (Laravel), Python Frontend: JavaScript, TypeScript, React APIs: REST, GraphQL Databases: PostgreSQL, MySQL, Redis Infrastructure: Linux, Docker, Kubernetes, CI/ ...

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 ...

/SQL. Manage backup and recovery strategies using RMAN. Support and maintain Oracle WebLogic environments. Develop and maintain reporting solutions using OBIEE. Work with open-source platforms such as Liferay and Oracle development frameworks including ADF and APEX. Required Skills & Experience In-depth knowledge of Oracle Database Architecture … Business Suite R12 setup and administration. Proficiency in SQL*Plus, PL/SQL, and scripting for automation. Experience with Oracle WebLogic, OBIEE, and open-source tools like Liferay. Familiarity with Oracle ADF and APEX development frameworks. Reasonable Adjustments: Respect and equality are core values to us. ...

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 ...