Senior ML Engineer

Gofractional; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Gofractional is seeking a Senior/Expert ML Engineer to lead model development for personalised recommendations. You will design, train, and optimise models, build robust data pipelines, and deploy systems in production with monitoring and iteration based on experiments.

You will work in London with two days in the office weekly, collaborating across disciplines to advance personalised content and recommendations using cutting-edge ML techniques.

Qualifications

• Strong experience with ML training frameworks (TFX, Kubeflow) and model serving tech.
• End-to-end ML lifecycle: development, deployment, monitoring, maintenance.
• Proficiency in Python; knowledge of ML libraries (TF, PyTorch).
• Experience with high-volume data processing and real-time streaming.
• Understanding of recommender systems and personalisation.
• Familiarity with Generative AI for production use.
• Good communication and analytical problem-solving skills.

Responsibilities

• Design, train, and optimise ML models for user personalisation and ranking.
• Build and maintain scalable data pipelines for feature engineering and training.
• Deploy and monitor ML models in production for high availability.
• Lead A/B testing and offline experiments to evaluate efficacy.
• Collaborate with cross-functional teams to align ML with business goals.
• Evaluate emerging research for potential integration.

Skills

Python

TensorFlow

PyTorch

Generative AI

Communications

Analytical problem-solving

Tools

Kubeflow Pipelines SDK

TensorFlow Serving

TorchServe

Triton

Scala

Job description

Role

Who you are

• Strong demonstrated experience using ML Training frameworks (mainly TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)
• Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance
• Proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)
• Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)
• Experience with high-volume data processing and real-time streaming architectures
• Strong understanding of recommendation system design and personalisation algorithms
• Familiarity with Generative AI and its applications in production settings
• Good communication and analytical problem-solving skills
• If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Desirable

• Experience working on OTT platforms
• Experience in Scala

What the job involves

• Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis
• Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets
• Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance
• Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement
• Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs
• Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems

Contract Details:

• 12 Month Fixed Term Contract
• End Date: September 30, 2026
• Location: London, 2 days a week in office (West London, UK)
• Level: Senior and Expert level
• Required Skills: Python, Scala, TensorFlow, Kubeflow, PyTorch