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Senior AI Engineer
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Job Title: Senior AI Engineer Location: London - Hybrid (2 day's onsite p/w) Start Date: ASAP Salary: £90,000 - £95,000 3-8% Bonus We are seeking a Senior AI Engineer to design, build, and deploy advanced AI and machine learning solutions for a leading research platform. This is a hands-on role focused on production-grade LLM applications, AI-enabled workflows, and augmented intelligence solutions. You will collaborate closely with engineering, research, analytics, and product teams to drive innovation and deliver impactful solutions. Key Responsibilities: - Data & Retrieval: Build ingestion pipelines for structured and unstructured data; design retrieval-augmented generation (RAG) systems; manage vector and keyword indexes; develop NLP and recommendation systems; implement metadata and tagging frameworks. - LLM & ML Applications: Develop and maintain ML and LLM models; build LLM apps with LangChain/LangGraph; apply multimodal AI, prompt engineering, fine-tuning, and model optimization; ensure scalable, reliable, and business-aligned AI solutions. - Platform & Operations (MLOps): Deploy and operate services on Azure; implement CI/CD and Infrastructure as Code; add monitoring, logging, and observability; ensure reliability, fault tolerance, and performance optimization. - Governance & Security: Enforce data privacy, ethical AI practices, and access controls; mitigate risks like prompt injection; establish model versioning, bias mitigation, and reproducibility best practices. - Software Engineering & Collaboration: Write clean, maintainable code; contribute to architecture, POCs, and production services; mentor junior engineers; stay updated with AI/ML and domain trends. Skills & Experience: - Demonstrated hands-on experience building production AI/LLM applications. - Strong Python, API design, asynchronous programming, and integration skills. - Experience with ML/LLM frameworks (PyTorch, TensorFlow, scikit-learn, LangChain/LangGraph, LlamaIndex). - Familiarity with cloud deployment (Azure), CI/CD, Infrastructure as Code, and MLOps best practices. - Knowledge of databases, vector search, and knowledge graphs. - Understanding of security, compliance, and ethical AI. Personal Attributes: - Passionate, pragmatic, and self-driven with strong technical leadership. - Able to communicate complex ideas clearly and build trust across teams. - Experience in media, publishing, research, or consumer-focused platforms is desirable. - Keen awareness of AI/ML industry trends and best practices. If you’re a hands-on AI engineer looking to shape next-generation research platforms, please send your CV and a brief introduction today. Important: This role does not offer visa sponsorship; applicants must have the right to work in the UK.
