

Arrows
Machine Learning Engineer
⭐ - 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. Strong ML lifecycle experience is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
696
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🗓️ - Date
May 16, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#ML (Machine Learning) #TensorFlow #Data Processing #Scala #Data Pipeline #Deep Learning #Python #Monitoring #PyTorch #AI (Artificial Intelligence) #A/B Testing
Role description
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 — all in service of recommendation engines and ranking algorithms that directly impact user experience.
𝗪𝗵𝗮𝘁 𝘆𝗼𝘂'𝗹𝗹 𝗯𝗲 𝗱𝗼𝗶𝗻𝗴:
→ Design, train and optimise ML models for personalisation and recommendations
→ Build and maintain scalable data pipelines for feature engineering and model training
→ Deploy and monitor models in production — performance, availability, relevance
→ Lead A/B testing and offline experiments to drive continuous improvement
→ Evaluate emerging research in deep learning and GenAI for real-world integration
𝗪𝗵𝗮𝘁 𝘄𝗲'𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿:
✦ Full ML lifecycle experience — from development through to monitoring in prod
✦ Python + TensorFlow or PyTorch
✦ Kubeflow, TFX or similar training frameworks
✦ Model serving experience — Triton, TorchServe, TF Serving
✦ Real-time streaming and high-volume data processing
✦ Strong grasp of recommendation systems and personalisation algorithms
✦ 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
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 — all in service of recommendation engines and ranking algorithms that directly impact user experience.
𝗪𝗵𝗮𝘁 𝘆𝗼𝘂'𝗹𝗹 𝗯𝗲 𝗱𝗼𝗶𝗻𝗴:
→ Design, train and optimise ML models for personalisation and recommendations
→ Build and maintain scalable data pipelines for feature engineering and model training
→ Deploy and monitor models in production — performance, availability, relevance
→ Lead A/B testing and offline experiments to drive continuous improvement
→ Evaluate emerging research in deep learning and GenAI for real-world integration
𝗪𝗵𝗮𝘁 𝘄𝗲'𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿:
✦ Full ML lifecycle experience — from development through to monitoring in prod
✦ Python + TensorFlow or PyTorch
✦ Kubeflow, TFX or similar training frameworks
✦ Model serving experience — Triton, TorchServe, TF Serving
✦ Real-time streaming and high-volume data processing
✦ Strong grasp of recommendation systems and personalisation algorithms
✦ 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






