Senior ML Engineer – Personalisation & Production AI

Go Fractional; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Go Fractional in London is seeking a Senior/Expert ML Engineer to design, train, and optimise personalised recommender systems, while leading data pipelines and production deployment.

The role covers experimentation, cross-functional collaboration, and research into generative AI, with a 12-month fixed-term contract requiring 2 days in the West London office and an end date of 2026-09-30. Proficiency in Python, Scala, TensorFlow, Kubeflow, and PyTorch is expected.

Qualifications

• Experience with ML training frameworks (TFX, Kubeflow) and model serving technologies.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch).
• Experience with large-scale data processing and real-time streaming architectures.
• Strong communication and analytical problem-solving skills.

Responsibilities

• Model Development: design, train, and optimise recommender/personalisation models.
• Data Pipeline Engineering: build scalable pipelines for feature engineering and model training across structured and unstructured data.
• Production Deployment: deploy and monitor ML models in production with high availability.
• Experimentation: design and analyse A/B tests and offline experiments to drive improvement.
• Cross-Functional Collaboration: align ML initiatives with business goals and user needs.
• Research & Innovation: evaluate emerging ML research for integration into systems.

Skills

ML training frameworks

Model serving

Python

TensorFlow

PyTorch

Data streaming

Recommendation systems

Generative AI

Communication

Problem solving

Tools

TensorFlow Serving

Triton

TorchServe

Kubeflow Pipelines SDK

Job description

Go Fractional in London is seeking a Senior/Expert ML Engineer to design, train, and optimise personalised recommender systems, while leading data pipelines and production deployment.

The role covers experimentation, cross-functional collaboration, and research into generative AI, with a 12-month fixed-term contract requiring 2 days in the West London office and an end date of 2026-09-30. Proficiency in Python, Scala, TensorFlow, Kubeflow, and PyTorch is expected.