301 to 325 of 513 Open Source Jobs in England

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 ...

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 ...

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 ...

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 ...

firm's global production trading infrastructure—from hardware and Linux systems to Kubernetes, observability, and build platforms. They work with a mix of open-source and in-house technologies to solve scaling, reliability, and performance problems in a highly collaborative environment. We're expanding the team with ...

firm's global production trading infrastructure—from hardware and Linux systems to Kubernetes, observability, and build platforms. They work with a mix of open-source and in-house technologies to solve scaling, reliability, and performance problems in a highly collaborative environment. We're expanding the team with ...

firm's global production trading infrastructure—from hardware and Linux systems to Kubernetes, observability, and build platforms. They work with a mix of open-source and in-house technologies to solve scaling, reliability, and performance problems in a highly collaborative environment. We're expanding the team with ...

firm's global production trading infrastructure—from hardware and Linux systems to Kubernetes, observability, and build platforms. They work with a mix of open-source and in-house technologies to solve scaling, reliability, and performance problems in a highly collaborative environment. We're expanding the team with ...

firm's global production trading infrastructure—from hardware and Linux systems to Kubernetes, observability, and build platforms. They work with a mix of open-source and in-house technologies to solve scaling, reliability, and performance problems in a highly collaborative environment. We're expanding the team with ...

firm's global production trading infrastructure—from hardware and Linux systems to Kubernetes, observability, and build platforms. They work with a mix of open-source and in-house technologies to solve scaling, reliability, and performance problems in a highly collaborative environment. We're expanding the team with ...

firm's global production trading infrastructure—from hardware and Linux systems to Kubernetes, observability, and build platforms. They work with a mix of open-source and in-house technologies to solve scaling, reliability, and performance problems in a highly collaborative environment. We're expanding the team with ...

firm's global production trading infrastructure—from hardware and Linux systems to Kubernetes, observability, and build platforms. They work with a mix of open-source and in-house technologies to solve scaling, reliability, and performance problems in a highly collaborative environment. We're expanding the team with ...

firm's global production trading infrastructure—from hardware and Linux systems to Kubernetes, observability, and build platforms. They work with a mix of open-source and in-house technologies to solve scaling, reliability, and performance problems in a highly collaborative environment. We're expanding the team with ...

firm's global production trading infrastructure—from hardware and Linux systems to Kubernetes, observability, and build platforms. They work with a mix of open-source and in-house technologies to solve scaling, reliability, and performance problems in a highly collaborative environment. We're expanding the team with ...

firm's global production trading infrastructure—from hardware and Linux systems to Kubernetes, observability, and build platforms. They work with a mix of open-source and in-house technologies to solve scaling, reliability, and performance problems in a highly collaborative environment. We're expanding the team with ...

firm's global production trading infrastructure—from hardware and Linux systems to Kubernetes, observability, and build platforms. They work with a mix of open-source and in-house technologies to solve scaling, reliability, and performance problems in a highly collaborative environment. We're expanding the team with ...

firm's global production trading infrastructure—from hardware and Linux systems to Kubernetes, observability, and build platforms. They work with a mix of open-source and in-house technologies to solve scaling, reliability, and performance problems in a highly collaborative environment. We're expanding the team with ...

firm's global production trading infrastructure—from hardware and Linux systems to Kubernetes, observability, and build platforms. They work with a mix of open-source and in-house technologies to solve scaling, reliability, and performance problems in a highly collaborative environment. We're expanding the team with ...

firm's global production trading infrastructure—from hardware and Linux systems to Kubernetes, observability, and build platforms. They work with a mix of open-source and in-house technologies to solve scaling, reliability, and performance problems in a highly collaborative environment. We're expanding the team with ...

firm's global production trading infrastructure—from hardware and Linux systems to Kubernetes, observability, and build platforms. They work with a mix of open-source and in-house technologies to solve scaling, reliability, and performance problems in a highly collaborative environment. We're expanding the team with ...

firm's global production trading infrastructure—from hardware and Linux systems to Kubernetes, observability, and build platforms. They work with a mix of open-source and in-house technologies to solve scaling, reliability, and performance problems in a highly collaborative environment. We're expanding the team with ...

firm's global production trading infrastructure—from hardware and Linux systems to Kubernetes, observability, and build platforms. They work with a mix of open-source and in-house technologies to solve scaling, reliability, and performance problems in a highly collaborative environment. We're expanding the team with ...

firm's global production trading infrastructure—from hardware and Linux systems to Kubernetes, observability, and build platforms. They work with a mix of open-source and in-house technologies to solve scaling, reliability, and performance problems in a highly collaborative environment. We're expanding the team with ...

firm's global production trading infrastructure—from hardware and Linux systems to Kubernetes, observability, and build platforms. They work with a mix of open-source and in-house technologies to solve scaling, reliability, and performance problems in a highly collaborative environment. We're expanding the team with ...

firm's global production trading infrastructure—from hardware and Linux systems to Kubernetes, observability, and build platforms. They work with a mix of open-source and in-house technologies to solve scaling, reliability, and performance problems in a highly collaborative environment. We're expanding the team with ...