Senior ML Engineer
Fractal
Senior ML Engineer at Fractal is a full time role based in London, United Kingdom. It was published on 1 July 2026 and was open at last check.
| Role | Senior ML Engineer |
|---|---|
| Company | Fractal |
| Location | London, United Kingdom |
| Employment type | Full Time |
| Published | 1 July 2026 |
| Status | Open at last check |
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Senior ML Engineer
12 Month FTC
West London - Hybrid - Onsite 2 days per week
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.
What you’ll be doing
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.
What you'll bring
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 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.
Good to have:
Experience working on OTT platforms Experience in Scala
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Hiring Related Queries
India: HiringsupportIndia@fractal.ai
Outside India: HiringsupportROW@fractal.ai
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Create your free OnJob profile to apply — we'll take you to Fractal's application after sign-up. · Posted 1 Jul 2026.
Senior ML Engineer at Fractal — questions answered
What does the Senior ML Engineer role at Fractal pay?
Fractal does not publish a salary on this Senior ML Engineer listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Where is the Senior ML Engineer role at Fractal based?
Fractal lists this Senior ML Engineer role in London, United Kingdom, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Fractal before you apply.
Is the Senior ML Engineer role at Fractal still open?
The Senior ML Engineer posting at Fractal was open at OnJob's last check of the employer's careers page, having been published on 1 July 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the Senior ML Engineer role at Fractal?
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