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ML Engineer, Personalization & Generative AI

Creandum
London, UK
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
apply4u.co.uk

Tech stack

Machine Learning Generative AI Machine Learning Operations

Requirements

Creandum is looking for an experienced ML practitioner to join the Horizon Product Area at Spotify. This role involves designing and implementing innovative features powered by machine learning and generative AI, contributing to an evolving listening experience for millions. Successful candidates will have experience in developing ML systems at scale and a strong background in NLP. Flexibility for remote work is offered as long as you’re within the GMT/CET time zones, excluding France. #J-18808-Ljbffr

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This job is hosted externally. Click below to view the full posting and apply.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:37 min

Tracing the evolution from early AI to generative AI

Mike Mike · World Congress 2025

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

4:25 min

Optimizing agricultural practices through automated machine learning operations

Simi Olabisi · LIVE

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

1:33 min

Real-world implementations of browser-based machine learning

Håkan Silfvernagel · LIVE

2:14 min

Introduction to generative AI and content warnings

Cheuk Ho · World Congress 2023

Videos

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World Congress 2023 • about 3 years ago

How E.On productionizes its AI model & Implementation of Secure Generative AI.

Kapil Gupta

Introduction to Azure Machine Learning thumbnail
54:27
LIVE • over 4 years ago

Introduction to Azure Machine Learning

Jose Luis Latorre Millas

Effective Machine Learning - Managing Complexity with MLOps thumbnail
45:45
World Congress 2021 • about 5 years ago

Effective Machine Learning - Managing Complexity with MLOps

Simon Stiebellehner

Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative thumbnail
29:27
World Congress 2023 • almost 3 years ago

Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative

David Estevez

Should we build Generative AI into our existing software? thumbnail
24:51
World Congress 2024 • about 2 years ago

Should we build Generative AI into our existing software?

Simon Müller

What non-automotive Machine Learning projects can learn from automotive Machine Learning projects thumbnail
48:01
World Congress 2022 • about 4 years ago

What non-automotive Machine Learning projects can learn from automotive Machine Learning projects

Jan Zawadzki

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