Staff NLP/ML Scientist - Lead AI & Search (London Hybrid)

SR2
Greater London, UK
1 day ago
Apply on www.collegerecruiter.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Search Algorithms Machine Learning Natural Language Processing Data Pipelines

Job description

An innovative AI-first technology company is seeking a Staff Applied Scientist to lead technical initiatives in machine learning and natural language processing. The role involves optimizing search algorithms, managing data pipelines, and driving improvements in AI-driven workflows. Candidates should have over 8 years of experience in engineering or data science, with expertise in technical leadership, machine learning, and NLP. The position is hybrid with three days onsite weekly in London, offering competitive leave and flexible working arrangements.

Requirements

An innovative AI-first technology company is seeking a Staff Applied Scientist to lead technical initiatives in machine learning and natural language processing. The role involves optimizing search algorithms, managing data pipelines, and driving improvements in AI-driven workflows. Candidates should have over 8 years of experience in engineering or data science, with expertise in technical leadership, machine learning, and NLP. The position is hybrid with three days onsite weekly in London, offering competitive leave and flexible working arrangements. #J-18808-Ljbffr

Apply for this position

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

Apply on www.collegerecruiter.com
Prepare application

Good distractions

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

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

2:27 min

Combating automated artificial intelligence content with brand authority

Eric Enge · Coffee With Developers

3:22 min

Creating dedicated AI assistants for advanced candidate sourcing

José Kadlec José Kadlec · World Congress 2025

47 sec

Building modern data pipelines for legacy exports

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · World Congress 2025

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all