Enable job alerts via email!

Snr ML Engineer – Machine Learning, LLMs, MLOps, RAG, Prompt Engineering, UK Remote

NLP PEOPLE

Leeds

Remote

GBP 60,000 - 100,000

Full time

30+ days ago

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

An innovative company is seeking a Senior Machine Learning Engineer to join their mission of revolutionizing AI applications. In this exciting role, you will design and deploy scalable machine learning models, work extensively with Large Language Models (LLMs), and implement cutting-edge Retrieval-Augmented Generation (RAG) architectures. You'll lead MLOps initiatives to optimize ML workflows and collaborate with cross-functional teams to integrate AI solutions into real-world applications. If you're passionate about AI and eager to make a significant impact in a dynamic environment, this opportunity is perfect for you.

Qualifications

  • 5 years of experience in machine learning with a focus on production-grade models.
  • Expertise in LLMs, including engineering and deployment.

Responsibilities

  • Design and deploy scalable machine learning models and systems.
  • Lead MLOps initiatives to streamline ML workflows.

Skills

Machine Learning
Large Language Models (LLMs)
MLOps
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Python
Data Science

Education

Degree in Data Science or Computational Linguistics

Tools

Google Cloud Platform (GCP)
MLflow
Kubeflow
Pandas
PyTorch
Numpy

Job description

Snr ML Engineer – Machine Learning, LLMs, MLOps, RAG, Prompt Engineering, UK Remote

My client is revolutionizing the way businesses are leveraging AI with cutting-edge Machine Learning technologies. Recently funded and looking for Snr ML Engineers to join the mission to innovate and make an impact.

What You’ll Do
  1. Design, build, and deploy scalable machine learning models and systems.
  2. Work extensively with Large Language Models (LLMs) to develop innovative AI-driven applications.
  3. Implement and optimize Retrieval-Augmented Generation (RAG) architectures to enhance model performance.
  4. Lead MLOps initiatives to streamline the development, deployment, and monitoring of ML workflows.
  5. Apply Prompt Engineering techniques to fine-tune LLM outputs and improve usability.
  6. Collaborate with cross-functional teams to integrate AI solutions into real-world applications.
  7. Leverage Google Cloud Platform (GCP) to build and deploy cloud-native ML solutions.
  8. Utilize Python and key ML libraries (Pandas, PyTorch, Numpy, etc.) for model development.
What We’re Looking For
  1. 5 years of experience in machine learning, with a strong focus on building production-grade models.
  2. Expertise in LLMs, including engineering, fine-tuning, model evaluation, deployment, and real-world applications.
  3. Hands-on experience with MLOps tools and pipelines (e.g., MLflow, Kubeflow, or similar).
  4. Solid programming skills in Python, with experience in ML libraries such as Numpy, PyTorch, or Pandas.
  5. Knowledge of Retrieval-Augmented Generation (RAG) techniques, embeddings, knowledge graphs.
  6. Strong experience working with Google Cloud Platform (GCP) for ML workflows.
  7. Data Science/Computational Linguistics: Building evaluation frameworks and datasets, model iteration, gap analysis.

To apply please send your CV to waquas@wmtech.io

Company:

WMtech

Level of experience:

Senior (5+ years of experience)

WMTech is trusted by leaders in the Cyber Security, AI and Enterprise Software sectors to advise on talent strategy specifically for Start-Ups. Our clients are heavily VC backed, unicorn status, pre-IPO start-ups with pioneering technology. WMTech is an equal opportunity employer and does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.