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Owen Thomas | B Corp™

Owen Thomas | B Corp™

Machine Learning Engineer, NLP | InsurTech, AI, Scale-up | London 5 Days in Office, Up to £165,000+Stocks & Benefits

London On-site 2-5 yrs exp Staffing and Recruiting 7 employees
Machine LearningNatural Language ProcessingAICollaborationDeployment

Requirements

Candidates should have 2+ years of experience in AI/ML engineering with a strong focus on NLP projects. A proven track record of deploying AI/ML solutions and effective communication skills are essential.

Job Description

Machine Learning Engineer, NLP | InsurTech, AI, Scale-up | London 5 Days in Office, Up to £165,000+Stocks & Benefits


Owen Thomas is partnering with a high-growth, venture-backed InsurTech scale-up that is disrupting a massive $200B global market. Using AI they deliver automation that is up to 3× faster than legacy industry standards allowing insurance companies to act quicker and save millions.


The company have found a niche within a niche and are already proving to be valuable to some the worlds leading insurance firms. Because of this they have been backed by some of Europe’s and Silicon Valley's most prestigious venture capital firms.


As they scale towards their next major milestone, they are seeking a Machine Learning Engineer to help build the AI platform powering the future of automated operations.

This is a full-time, office-based role in Central London, joining a high-intensity, mission-driven team that thrives on high performance and rapid execution.


What will you be doing?

  • Building intelligent systems that improve operational accuracy, accelerate assessments, and enhance user experience.
  • Collaborate closely with domain specialists to translate complex, manual processes into AI-driven workflows.
  • Deploy, monitor, and scale machine learning solutions in a production environment.
  • Help shape the technical culture and engineering team from the ground up.
  • Work side-by-side with the founding team, learning exactly how to scale a business from 0 to 1


Requirements for the Machine Learning Engineer, NLP | InsurTech, AI, Scale-up | London 5 Days in Office, Up to £165,000+Stocks & Benefits

  • 2+ years of commercial experience in AI/ML engineering or applied research.
  • Strong experience working on NLP projects.
  • A proven track record of shipping AI/ML projects from initial concept to live production, driving core business metrics.
  • A passion for high-velocity deployment—you love shipping code quickly.
  • Strong communication skills and the ability to collaborate effectively with non-technical stakeholders.
  • Comfort operating in ambiguous, rapid-growth, and high-velocity environments.


What's in it for you?

  • Highly competitive base salary of up to £165,000
  • Generous, transparent equity participation.
  • Comprehensive health insurance and pension contributions.
  • 28 days annual leave (plus bank holidays) + 30 days of remote working flexibility per year.
  • Full Skilled Worker visa sponsorship available for the UK.


If this sounds like something you would be interested in, drop over your CV and we will give you a call if we think you are a good fit!

Skills

Machine LearningNatural Language ProcessingAICollaborationDeploymentMonitoringScalingCommunication

About Owen Thomas | B Corp™

We are a relationship-driven recruitment partner, specialising in Software Engineering across Contract and Permanent roles in the UK & Europe. But we’d like to think there’s a little more to us than that. We're a B Corp™ and have pledged a commitment to 1% Of All Sales. Our mission is to go beyond recruitment and actively improve the world around us. Our community is the reason we love what we do and we are committed to fostering a diverse and inclusive one. For us, ‘fostering diversity’ is not a blanket approach or a buzzword; it is a nuanced practice that requires a commitment to empathy, transparency and authenticity. It involves understanding and valuing the unique perspectives and experiences that each individual brings to the table. We make a meaningful impact by genuinely caring for the people we represent and the careers we help shape. While we do not claim* to change the world, we will do our very best to leave it in a better place than we found it. *we do claim to make the best cup of tea. Part of the OT Group.