AI/ML Engineer: Remote with LLMs, NLP & Pipelines

AI/ML Engineer: Remote with LLMs, NLP & Pipelines

Full-Time 80000 - 98000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Build end-to-end ML/AI pipelines and design expert matching algorithms.
  • Company: DOHE, a forward-thinking company embracing remote work for global talent.
  • Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic role with a focus on cutting-edge technologies and global collaboration.
  • Why this job: Join a team innovating with AI/ML to create impactful solutions.
  • Qualifications: Experience in AI/ML, data handling, and algorithm design.

The predicted salary is between 80000 - 98000 £ per year.

DOHE is hiring a full‑time AI/ML Engineer for a fixed‑term contract, with remote work optional for global applicants. The role focuses on building end-to-end ML/AI pipelines, from data capture to transcription, summarisation, and coaching reports, and involves auto-generating pre-diagnosis outputs from surveys and startup data.

You will design expert matching algorithms, architect multi‑agent systems, and fine‑tune LLMs, train domain models, and manage prompts, evaluation frameworks, and model.

AI/ML Engineer: Remote with LLMs, NLP & Pipelines employer: DOHE Europe LTD

DOHE is an exceptional employer, offering a dynamic remote work environment that empowers Senior Backend Developers to lead innovative projects in the EdTech sector. With a strong focus on employee growth, collaborative culture, and a mission-driven approach, team members are encouraged to contribute to meaningful societal progress while enjoying flexible working arrangements and access to cutting-edge technology. Join us in shaping the future of education and be part of a global community dedicated to supporting over 5,000 EdTech startups.

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Contact Details:

DOHE Europe LTD Recruitment Team

We think you need these skills to ace AI/ML Engineer: Remote with LLMs, NLP & Pipelines

Python
SQL
Problem-Solving Skills
Data Engineering
Data Pipeline Development
API Integration
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