Arrows

Machine Learning Engineer

โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer with a contract length of "unknown" and a pay rate of "unknown." Key skills required include Python, TensorFlow or PyTorch, and experience with recommendation systems and personalisation algorithms.
๐ŸŒŽ - Country
United Kingdom
๐Ÿ’ฑ - Currency
ยฃ GBP
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๐Ÿ’ฐ - Day rate
720
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๐Ÿ—“๏ธ - Date
June 16, 2026
๐Ÿ•’ - Duration
Unknown
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๐Ÿ๏ธ - Location
Unknown
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๐Ÿ“„ - Contract
Unknown
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๐Ÿ”’ - Security
Unknown
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๐Ÿ“ - Location detailed
London Area, United Kingdom
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๐Ÿง  - Skills detailed
#ML (Machine Learning) #AI (Artificial Intelligence) #Monitoring #TensorFlow #Deep Learning #A/B Testing #Data Pipeline #Python #Scala
Role description
We're working with a global media company looking for a Senior ML Engineer to own personalisation end to end. You'll be shipping models to production, building the pipelines that feed them, and running the experiments that improve them, 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—ป? ?:โ†’ Design, train and optimise ML models for personalisation and recommendatio nsโ†’ Build and maintain scalable data pipelines for feature engineering and model traini ngโ†’ Deploy and monitor models in production โ€” performance, availability, relevan ceโ†’ Lead A/B testing and offline experiments to drive continuous improveme ntโ†’ Evaluate emerging research in deep learning and GenAI for real-world integrati on ๐—ช๐—ต๐—ฎ๐˜ ๐˜„๐—ฒ'๐—ฟ๐—ฒ ๐—น๐—ผ๐—ผ๐—ธ๐—ถ๐—ป๐—ด ๐—ณ๐—ผ ๐—ฟ:โœฆ Full ML lifecycle experience โ€” from development through to monitoring in p rodโœฆ Python + TensorFlow or PyTo rchโœฆ Kubeflow, TFX or similar training framewo rksโœฆ Model serving experience โ€” Triton, TorchServe, TF Serv ingโœฆ Real-time streaming and high-volume data process ingโœฆ Strong grasp of recommendation systems and personalisation algorit hmsโœฆ Familiarity with Generative AI in production setti ngs If this sounds like your kind of challenge, drop me a mess age. #MachineLearning #MLEngineer #Personalisation #RecommendationSystems #MLOps #NowH iring