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Arrows Linkedin ยท Posted 26d ago

Machine Learning Engineer

London, Westminster, United Kingdom

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We're working with a fast moving tech business looking for a Senior ML Engineer to own personalisation end to end.


This isn't a research role. You'll be shipping models to production, building the pipelines that feed them, and running the experiments that improve them โ€” all in service of recommendation engines and ranking algorithms that directly impact user experience.


๐—ช๐—ต๐—ฎ๐˜ ๐˜†๐—ผ๐˜‚'๐—น๐—น ๐—ฏ๐—ฒ ๐—ฑ๐—ผ๐—ถ๐—ป๐—ด:

โ†’ Design, train and optimise ML models for personalisation and recommendations

โ†’ Build and maintain scalable data pipelines for feature engineering and model training

โ†’ Deploy and monitor models in production โ€” performance, availability, relevance

โ†’ Lead A/B testing and offline experiments to drive continuous improvement

โ†’ Evaluate emerging research in deep learning and GenAI for real-world integration


๐—ช๐—ต๐—ฎ๐˜ ๐˜„๐—ฒ'๐—ฟ๐—ฒ ๐—น๐—ผ๐—ผ๐—ธ๐—ถ๐—ป๐—ด ๐—ณ๐—ผ๐—ฟ:

โœฆ Full ML lifecycle experience โ€” from development through to monitoring in prod

โœฆ Python + TensorFlow or PyTorch

โœฆ Kubeflow, TFX or similar training frameworks

โœฆ Model serving experience โ€” Triton, TorchServe, TF Serving

โœฆ Real-time streaming and high-volume data processing

โœฆ Strong grasp of recommendation systems and personalisation algorithms

โœฆ Familiarity with Generative AI in production settings


If this sounds like your kind of challenge, drop me a message or hit apply. Happy to share more details.


#MachineLearning #MLEngineer #Personalisation #RecommendationSystems #MLOps #NowHiring

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