Senior Machine Learning Engineer – Agentic AI Platform
—
Senior Machine Learning Engineer – Agentic AI Platform Central Cambridge (Hybrid working) Permanent role In partnership with Robert Half Limited The Opportunity A global SaaS organisation is building a cutting-edge, multi-agent AI platform designed to transform how enterprise clients interact with complex data. Developed in-house, this strategic platform is now entering a pivotal hardening and MVP phase. We are seeking a Senior Machine Learning Engineer to work alongside the AI Platform Lead to scale the architecture, strengthen reliability, and drive engineering excellence as the system moves toward global production. This is a hands-on, high-impact role focused on delivery, robustness, and refining a sophisticated graph-based agent engine. What You’ll Be Working On Agent Orchestration • Hardening multi-step reasoning workflows • Scaling graph-based execution logic • Optimising agent collaboration patterns Tool Integration • Benchmarking and fine-tuning integrations within an established agent framework • Extending bespoke toolchains for enterprise use Inference & Performance Engineering • Optimising LLM integration and prompt lifecycle management • Improving latency, cost efficiency, and model performance State & Reliability • Strengthening Redis-backed persistence • Ensuring consistency across complex, stateful interactions • Enhancing service reliability at scale Evaluation & Observability • Building regression frameworks • Implementing tracing, monitoring, and enterprise-grade observability What We’re Looking For • Strong Python engineering experience building production-grade systems • Hands-on experience with LLM-powered applications and agent orchestration (e.g. LangGraph or similar graph-based frameworks) • Experience with stateful systems, caching, and reliability engineering • Proficiency with FastAPI, Docker, and Redis • Comfortable operating in a small, senior, high-impact engineering team Why Join? • Work on a genuinely strategic, next-generation AI platform • Play a key role in scaling a production-grade agentic AI system • High ownership and direct influence on architecture decisions • Hybrid working from Central Cambridge • Excellent benefits package • Discretionary performance bonus APPLY NOW!! Important Note: This is a Cambridge-based UK role. Applicants must have full rights to work in the UK. We are unable to consider fully remote, B2B or B2C contractors.
| Skill | Source | Confidence |
|---|---|---|
| Python | llm_hard |
100%
|
| Docker | llm_hard |
100%
|
| Large Language Models (LLMs) | llm_hard |
100%
|
No soft skills extracted
| Query | Country | Status | Response ms | Created |
|---|---|---|---|---|
| Senior Machine Learning Engineer – Agentic AI Platform | extracted | 3025 | 2026-03-21 23:53 | |
| Senior Machine Learning Engineer – Agentic AI Platform | classified | 660 | 2026-03-21 19:31 | |
| junior software engineer in Cambridge | gb | duplicate | 17541 | 2026-03-21 17:35 |
| junior software engineer in Cambridge | gb | duplicate | 17541 | 2026-03-21 17:35 |
| junior deep learning engineer in Cambridge | gb | duplicate | 6681 | 2026-03-21 17:12 |
| junior deep learning engineer in United Kingdom | gb | duplicate | 13733 | 2026-03-21 17:11 |
| junior AI developer in Cambridge | gb | duplicate | 3661 | 2026-03-21 17:07 |
| junior AI engineer in Cambridge | gb | duplicate | 12168 | 2026-03-21 17:05 |
| junior ML engineer in Cambridge | gb | duplicate | 6140 | 2026-03-21 17:01 |
| junior machine learning engineer in Cambridge | gb | duplicate | 13933 | 2026-03-21 16:58 |
| junior backend engineer in Cambridge | gb | processed | 14862 | 2026-03-21 15:37 |
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"job_description": "Senior Machine Learning Engineer – Agentic AI Platform\n\nCentral Cambridge (Hybrid working)\n\nPermanent role\n\nIn partnership with Robert Half Limited\n\nThe Opportunity\n\nA global SaaS organisation is building a cutting-edge, multi-agent AI platform designed to transform how enterprise clients interact with complex data.\n\nDeveloped in-house, this strategic platform is now entering a pivotal hardening and MVP phase. We are seeking a Senior Machine Learning Engineer to work alongside the AI Platform Lead to scale the architecture, strengthen reliability, and drive engineering excellence as the system moves toward global production.\n\nThis is a hands-on, high-impact role focused on delivery, robustness, and refining a sophisticated graph-based agent engine.\n\nWhat You’ll Be Working On\n\nAgent Orchestration\n• Hardening multi-step reasoning workflows\n• Scaling graph-based execution logic\n• Optimising agent collaboration patterns\n\nTool Integration\n• Benchmarking and fine-tuning integrations within an established agent framework\n• Extending bespoke toolchains for enterprise use\n\nInference & Performance Engineering\n• Optimising LLM integration and prompt lifecycle management\n• Improving latency, cost efficiency, and model performance\n\nState & Reliability\n• Strengthening Redis-backed persistence\n• Ensuring consistency across complex, stateful interactions\n• Enhancing service reliability at scale\n\nEvaluation & Observability\n• Building regression frameworks\n• Implementing tracing, monitoring, and enterprise-grade observability\n\nWhat We’re Looking For\n• Strong Python engineering experience building production-grade systems\n• Hands-on experience with LLM-powered applications and agent orchestration (e.g. LangGraph or similar graph-based frameworks)\n• Experience with stateful systems, caching, and reliability engineering\n• Proficiency with FastAPI, Docker, and Redis\n• Comfortable operating in a small, senior, high-impact engineering team\n\nWhy Join?\n• Work on a genuinely strategic, next-generation AI platform\n• Play a key role in scaling a production-grade agentic AI system\n• High ownership and direct influence on architecture decisions\n• Hybrid working from Central Cambridge\n• Excellent benefits package\n• Discretionary performance bonus\n\nAPPLY NOW!!\n\nImportant Note:\n\nThis is a Cambridge-based UK role. Applicants must have full rights to work in the UK. We are unable to consider fully remote, B2B or B2C contractors.",
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