Senior Data/ML Engineer
📍 Cardiff/London
💰 £90,000 - £100,000 DOE What You'll Do: Take the lead on building and scaling large-scale web scraping and data ingestion systems that form the core of an AI-driven product suite used by major enterprise clients. From crawling hundreds of dynamic sources to powering downstream LLM features, your work will be the foundation of everything the platform delivers. You'll own projects end-to-end - designing data pipelines, integrating with vector databases, and deploying intelligent features using Retrieval-Augmented Generation (RAG) and fine-tuned LLMs. What You'll Bring: Deep hands-on experience with web scraping tools and frameworks (Scrapy, Playwright, Puppeteer, etc.)5+ years in data engineering, ML engineering, or similar technical roles Strong Python skills and comfort working across complex ingestion workflows Experience managing NoSQL and vector databases at scale (MongoDB, Weaviate, Pinecone, etc.) Solid understanding of modern data pipeline tools (Airflow, Prefect, Dagster) Practical experience with LLM development, embeddings, and RAG architectures Familiarity with distributed systems and cloud platforms (AWS, GCP, or Azure) Self-motivated and capable of independently delivering production-grade systems Why You Should Apply: Own the backbone of a production-grade AI stack - with scraping and ingestion at the core Work directly with a technical founder on systems already used by enterprise clients Shape AI capabilities from prototype to production with real impact Join a profitable, self-funded startup with flexibility on location and working style Competitive salary - they're ready to pay £100k+ for the right person Contact Lewis Allen to find out more.
Please apply with a CV and a cover letter outlining why you're perfect for the role.
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Note: We do our best to respond to every application, but due to volume, we can't always guarantee it. If you haven't heard back within 7 days, unfortunately, you haven't been successful this time. Keep an eye on our site for new opportunities
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