Machine Learning Engineer

NearTech Search; Greater London; Remote; GBP 35,000 - 46,000; Full time

Job summary

A stealth-mode healthtech start-up seeks a Multilingual Senior Recruitment Consultant with expertise in Machine Learning and NLP. You will drive personalisation efforts, leveraging AI to enhance user experiences. Join a dynamic team focused on meaningful impact in wellness.

Benefits

Transparent equity offering

Unlimited holiday policy

Flexible working culture

Opportunities for international exposure and travel

Qualifications

• 3-4 years of experience in AI/ML with a practical focus on shipping features.
• Comfortable building scrappy, elegant solutions.

Responsibilities

• Owning and evolving the personalisation engine.
• Contributing to backend design and infrastructure.

Skills

AI

Machine Learning

Personalisation Algorithms

Recommendation Systems

Job description

This range is provided by NearTech Search. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from NearTech Search

Multilingual Senior Recruitment Consultant | Machine Learning | NLP | LLM | MLOps

Are you an applied machine learning engineer with a passion for real-world impact? We're partnering with a stealth-mode healthtech start-up that’s redefining personalisation in the wellness space.

What You’ll Be Doing:

• Owning and evolve the personalisation engine - tailored recommendations, user preferences, and adaptive experiences.
• Working with a mix of in-house data, literature-based insights, and small-scale RAG (Retrieval-Augmented Generation) models.
• Building agentic tools to streamline onboarding and user journeys.
• Contributing to backend design and infrastructure where needed - real bonus points if you’re from an engineering background.

Ideal Candidate:

• 3-4 years’ of experience in AI/ML with a practical focus on shipping features.
• Familiarity with personalisation algorithms, recommendation systems, or LLMs.
• Comfortable building scrappy, elegant solutions - not over-engineering for engineering's sake.
• Hungry to grow into technical leadership and thrive in a low-ego, mission-led environment.
• Bonus points if you've gone above and beyond: participated in hackathons, built side projects, or solved real problems outside of your day job.

Why Apply:

• Be part of a small, ambitious team shaping the early stages of something meaningful.
• Transparent equity offering.
• Remote-first setup with opportunities for international exposure and travel opportunities
• Unlimited holiday policy and flexible working culture.

If you’re excited about the intersection of personalisation, wellness, and applied AI please reach out!

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Hospitals and Health Care and IT Services and IT Consulting

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