2 months ago

Senior ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 days agoStatus: Live

Job Summary

Senior AI Engineer creating and deploying ML models for personalised user experiences, building scalable data pipelines, and leading experimentation and cross-functional collaboration to drive business impact.

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Design, train, and optimise machine learning models focused on user personalisation, including recommendation engines, ranking algorithms, user segmentation, and content analysis.
•Construct and maintain robust and scalable data pipelines for feature engineering and model training using structured and unstructured large-scale datasets.
•Deploy and supervise ML models in production ensuring high availability, optimal performance, and continued relevance.
•Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.
•Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.

Key Requirements

•Proven expertise in the full lifecycle of machine learning, from model development and deployment to monitoring and maintenance.
•Proficiency in Python and ML libraries/frameworks (e.g., TensorFlow, PyTorch).
•Experience using ML training frameworks (e.g., TFX, Kubeflow Pipelines) and model serving technologies (TensorFlow Serving, Triton, TorchServe).
•Experience with high-volume data processing and real-time streaming architectures.
•Strong understanding of recommendation system design and personalization algorithms.

Experience:Artificial intelligenceMachine learningEnterprise software

Skills:CommunicationProblem-solving

Tech Stack:PythonTensorFlowPyTorchTFXKubeflowTensorFlow ServingTritonTorchServe

Company Brief

Fractal Labs

Provides AI-driven analytics, decision intelligence, and engineering solutions to Fortune 500 companies, helping enterprises apply advanced analytics and machine learning for marketing, supply chain, finance, and customer experience transformation.

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: New York, United States

Founded: 2000

Website LinkedIn

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Fractal Labs

2 months ago

Senior ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 days agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Design, train, and optimise machine learning models focused on user personalisation, including recommendation engines, ranking algorithms, user segmentation, and content analysis.
•Construct and maintain robust and scalable data pipelines for feature engineering and model training using structured and unstructured large-scale datasets.
•Deploy and supervise ML models in production ensuring high availability, optimal performance, and continued relevance.
•Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement.
•Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs.

Key Requirements

•Proven expertise in the full lifecycle of machine learning, from model development and deployment to monitoring and maintenance.
•Proficiency in Python and ML libraries/frameworks (e.g., TensorFlow, PyTorch).
•Experience using ML training frameworks (e.g., TFX, Kubeflow Pipelines) and model serving technologies (TensorFlow Serving, Triton, TorchServe).
•Experience with high-volume data processing and real-time streaming architectures.
•Strong understanding of recommendation system design and personalization algorithms.

Experience:Artificial intelligenceMachine learningEnterprise software

Skills:CommunicationProblem-solving

Tech Stack:PythonTensorFlowPyTorchTFXKubeflowTensorFlow ServingTritonTorchServe

Company Brief

Fractal Labs

Industry: Consulting

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Headquarters: New York, United States

Founded: 2000

Website LinkedIn