26 to 29 of 29 Machine Learning Jobs in Nottinghamshire

code alongside the team (this is a hands-on role) Align technical delivery with business goals through close collaboration with stakeholders Mentor and support developers, fostering a culture of learning and improvement Maintain high standards for code quality, scalability, and team communication What You’ll Bring 7+ years’ experience in software engineering, including recent time in a senior or … and CI/CD practices A thoughtful approach to system design, security, and performance at scale Great communication and stakeholder engagement skills Bonus points for experience with AI/ML tools or data-led platforms Tech Stack Overview Backend: NestJS/Node.js/TypeScript Frontend: Vue 3/TypeScript Cloud: AWS Databases: PostgreSQL/MongoDB Tools: Rush (monorepo), GitHub, Notion More ❯

code alongside the team (this is a hands-on role) Align technical delivery with business goals through close collaboration with stakeholders Mentor and support developers, fostering a culture of learning and improvement Maintain high standards for code quality, scalability, and team communication What You’ll Bring 7+ years’ experience in software engineering, including recent time in a senior or … and CI/CD practices A thoughtful approach to system design, security, and performance at scale Great communication and stakeholder engagement skills Bonus points for experience with AI/ML tools or data-led platforms Tech Stack Overview Backend: NestJS/Node.js/TypeScript Frontend: Vue 3/TypeScript Cloud: AWS Databases: PostgreSQL/MongoDB Tools: Rush (monorepo), GitHub, Notion More ❯

Prometheus, Grafana, Datadog) CI/CD pipeline management (GitHub Actions, GitLab CI, Jenkins) Firewall-as-a-Service solutions (e.g., Cloudflare) Endpoint/device management (e.g., Intune, NinjaOne) Exposure to ML Ops (deployment, scaling, monitoring ML workflows More ❯

Prometheus, Grafana, Datadog) CI/CD pipeline management (GitHub Actions, GitLab CI, Jenkins) Firewall-as-a-Service solutions (e.g., Cloudflare) Endpoint/device management (e.g., Intune, NinjaOne) Exposure to ML Ops (deployment, scaling, monitoring ML workflows More ❯