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  "job_title": "AI Systems Engineer",
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  "job_description": "Senior ML & AI Engineer\n\nRemote\n\nUp to £80,000\n\nAbout the Role\n\nWe’re partnered with a fast-growing tech startup focused on how brands and retailers use data. Their AI platform brings together data science, immersive visualisation, and large-scale machine learning to optimise product ranges, plan shopper journeys, and drive smarter commercial decisions.\n\nThey’re now looking for a Senior ML & AI Engineer to join their lean, high-impact engineering team. This is a pivotal role at the intersection of ML engineering, backend systems, and LLM integration - ideal for someone who thrives in fast-paced, hands-on environments where ML systems are core.\n\nResponsibilities\n• Design, build, and maintain scalable backend systems that power advanced ML and LLM applications.\n• Develop and manage end-to-end MLOps pipelines with automation, reproducibility, and scalability at their core.\n• Deploy and monitor machine learning and LLM models in production, identifying model drift and performance issues.\n• Drive research and development in modern ML, AI, and LLM approaches, applying SOTA techniques in a real-world setting.\n• Champion clean, maintainable, and well-documented code following best engineering practices.\n\nWhat We’re Looking For\n• Strong academic background in Computer Science, ML, AI, or a related field.\n• Deep hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).\n• Proven background in MLOps, including model versioning, CI/CD for ML, and production monitoring.\n• Experience building robust backend systems and APIs to serve ML models at scale.\n• Strong understanding of big data technologies and data orchestration tools (Airflow, DBT).\n• Familiarity with LLM integration and optimisation in production environments.\n• Excellent problem-solving, analytical, and communication skills.\n• Experience fine-tuning LLMs (e.g. Unsloth, cloud-based methods).",
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  "job_employment_type": "Full–time",
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  "job_posted_at_timestamp": 1774310400,
  "job_posted_at_datetime_utc": "2026-03-24T00:00:00.000Z"
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