Machine Learning Engineer (AI / LLMs / NLP)

carnaby fox β€’ United Kingdom
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AI Summary

We're hiring a Machine Learning Engineer to build and deploy AI-driven solutions in production environments, design machine learning models, and transform business processes into scalable AI-powered workflows.

Key Highlights
Build and deploy AI-driven solutions in production environments
Design machine learning models that improve decision-making, speed, and accuracy
Transform business processes into scalable AI-powered workflows
Key Responsibilities
Build and deploy AI-driven solutions in production environments
Design machine learning models that improve decision-making, speed, and accuracy
Transform business processes into scalable AI-powered workflows
Work closely with stakeholders to identify automation opportunities
Develop and optimize NLP and LLM-based solutions
Contribute to technical architecture and engineering best practices
Help shape the future of a rapidly scaling technology organization
Technical Skills Required
Machine Learning NLP Python
Benefits & Perks
Β£90,000+Base with Competitive Equity
Visa Sponsorship Available
Relocation Package Available

Job Description


πŸš€ We're Hiring: Machine Learning Engineer (AI / LLMs / NLP)

πŸ“ Location: London, UK (On-Site/ Five Days per week)

πŸ’Ό Employment Type: Full-Time

πŸ’° Salary: Β£90,000+Base with Competitive Equity

🌍 Visa Sponsorship Available (only for exceptional candidates)


Our client is an AI-first technology company operating within the insurance claims and risk management sectorβ€”one of the world's largest and most complex industries. Insurance claims processing traditionally involves significant manual review, documentation handling, decision-making, and customer communication, creating substantial opportunities for automation and efficiency improvements.

The company is leveraging Machine Learning, NLP, LLMs, and intelligent automation to transform how claims are assessed, processed, and resolved. By combining advanced AI systems with industry expertise, they help insurers deliver faster claim resolutions, improved customer experiences, and more accurate outcomes at scale. This presents a unique opportunity to work on high-impact AI applications in a domain rich with real-world data, complex decision-making workflows, and meaningful business challenges.


What You'll Be Doing

βœ… Build and deploy AI-driven solutions in production environments

βœ… Design machine learning models that improve decision-making, speed, and accuracy

βœ… Transform business processes into scalable AI-powered workflows

βœ… Work closely with stakeholders to identify automation opportunities

βœ… Develop and optimize NLP and LLM-based solutions

βœ… Contribute to technical architecture and engineering best practices

βœ… Help shape the future of a rapidly scaling technology organization

What We're Looking For

Experience

  • 2–7 years of applied Machine Learning experience
  • Experience shipping ML products into production
  • Proven ability to build and iterate quickly in startup or fast-paced environments
  • Background in high-growth startups, AI companies, big tech, or hyperscalers is highly preferred


Technical Skills

  • Strong foundation in Machine Learning and Data Science
  • Experience with NLP, Deep Learning, and Generative AI
  • Knowledge of LLM-powered applications and intelligent automation
  • Strong Python skills for ML development and experimentation
  • Familiarity with production AI systems and scalable deployments

Desired Profile

  • Builder mentality with strong ownership and execution skills
  • Comfortable working directly with customers and stakeholders
  • Thrives in high-performance, collaborative environments
  • Passionate about solving challenging real-world problems through AI


Tech Stack

πŸ”Ή Python

πŸ”Ή Machine Learning

πŸ”Ή AI/ML

πŸ”Ή NLP

πŸ”Ή Deep Learning

πŸ”Ή Agentic Frameworks

πŸ”Ή LLM Applications & Automation Workflows

Why Join?

✨ Work directly with experienced founders and industry leaders

✨ Build impactful AI products used in real-world business operations

✨ Competitive salary and equity package

✨ Opportunity to influence technology, product, and company growth

✨ Visa sponsorship support available for international candidates

✨ Be part of a company scaling rapidly with ambitious global growth plans


Location Requirement

This is a full-time on-site role in London, requiring attendance in the office five days per week.



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