Job Description

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
Location: London, 2 days a week in office (West London, UK)
End Date: September 30, 2026
Level: Senior and Expert level
Technologies: Python, Scala, TensorFlow, Kubeflow, PyTorch

About the Company

Company Mission

To reshape business through science and advanced data tools and uncomplicate decision-making, so human intelligence can be freed from the drudgery of monotonous work and committed to the pursuit of imagination and creative rewards.

About Fractal

Fractal develops AI-driven tools and platforms for businesses, including a conversational AI platform called Senseforth, a revenue growth AI tool called Samya, AI algorithms for medical imaging named Qure, and an all-in-one data analytics platform called Crux Intelligence. The company develops its solutions to be flexible and applicable within a wide range of industries including consumer packaged goods, healthcare, financial services, and media.

Fractal has taken the smart approach of developing a suite of flexible AI tools that can tackle problems in many industries, as opposed to focusing on a specific problem or industry. This strategy has positioned the company well for continued growth and impact, reflecting its broad applicability and potential in the market.