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Machine Learning Engineer

The Portfolio Group

Greater London

On-site

GBP 60,000 - 90,000

Full time

2 days ago
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Job summary

A leading company in AI-powered automation is seeking a Machine Learning Engineer with full-stack development experience. This hands-on role involves working on cutting-edge projects, including Generative AI and multi-agent reasoning frameworks. Join a high-growth organization and contribute to innovative AI solutions in a collaborative environment.

Qualifications

  • 3-5+ years of experience in ML engineering and software development.
  • Deep Python proficiency, with experience in PyTorch, TensorFlow, or Hugging Face.
  • Proven experience with LLMs and deploying cloud-native AI on AWS.

Responsibilities

  • Design, fine-tune, and deploy advanced LLMs with agentic capabilities.
  • Build and optimise scalable pipelines for data retrieval.
  • Serve models using vLLM, DeepSpeed, Triton, TensorRT.

Skills

Python
Machine Learning
Full-Stack Development
Generative AI
Cloud-Native AI

Tools

PyTorch
TensorFlow
AWS
FastAPI
Flask
React
Node.js

Job description

Direct message the job poster from The Portfolio Group

Chief Operations Officer at The Portfolio Group | Executive Recruitment & Search Assignments.

An exceptional opportunity to join an innovative, high-growth organisation shaping the future of AI-powered automation and digital interaction.

We’re seeking a Machine Learning Engineer with full-stack development experience to work on cutting-edge projects involving Generative AI, Retrieval-Augmented Generation (RAG), and multi-agent reasoning frameworks.

This is a hands-on, end-to-end engineering role with impact across the full ML lifecycle – from experimentation to deployment.

  • Conversational AI & Reasoning: Design, fine-tune, and deploy advanced LLMs with agentic capabilities
  • RAG Pipelines: Build and optimise scalable pipelines for structured and unstructured data retrieval
  • LLM Training & Fine-Tuning: Use methods like LoRA, QLoRA, SFT, PEFT, and RLHF
  • Inference & Acceleration: Serve models using vLLM, DeepSpeed, Triton, TensorRT
  • Multi-Agent Orchestration: Work with LangChain, AutoGen, CrewAI, DSPy and similar tools
  • Cloud & MLOps (AWS): Deploy with SageMaker, Bedrock, Lambda, S3, ECS, EKS
  • Full-Stack Integration: Build APIs (FastAPI, Flask) and integrate with React, TypeScript, Node.js

Required skills & experience:

  • 3–5+ years of experience in ML engineering and software development
  • Deep Python proficiency, with PyTorch, TensorFlow or Hugging Face
  • Proven experience with LLMs, RAG, and deploying cloud-native AI on AWS
  • Strong full-stack skills (React, TypeScript, Node.js) and API development
  • Familiarity with vector databases and multi-agent frameworks

Apply now to join this high growth and award-winning organisation with the opportunity to be part of building the future of AI driven projects and solutions. The role offers a highly competitive salary and benefits package and will be office based in London.

Seniority level
  • Seniority level
    Associate
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Business Consulting and Services

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