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