Machine Learning Engineer

The Portfolio Group; Hinckley; On-site; GBP 41,000 - 47,000; Full time

Job summary

Join a forward-thinking company as a Machine Learning Engineer, where you will leverage cutting-edge generative AI and contribute to innovative solutions that transform digital interactions. In this dynamic role, you will work on exciting projects involving conversational AI, retrieval-augmented generation, and multi-agent systems. Collaborate with a talented team to develop intelligent systems and deploy scalable machine learning workloads on AWS. This position offers a competitive salary and the chance to be part of a high-growth organization at the forefront of AI-driven automation.

Qualifications

• 3-5+ years in machine learning and software development.
• Proficient in Python, PyTorch or TensorFlow.
• Experience with RAG and AWS cloud deployments.

Responsibilities

• Develop and deploy LLMs with reasoning capabilities.
• Implement and optimize RAG pipelines for information retrieval.
• Integrate ML models into web applications.

Skills

Machine Learning

Python

Full-Stack Development

AWS

API Development

Conversational AI

RAG

Multi-Agent Systems

Education

Bachelor's Degree in Computer Science or related field

Tools

PyTorch

TensorFlow

FastAPI

Flask

React

TypeScript

Node.js

SageMaker

DeepSpeed

Triton

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 for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems.

We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client’s team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include:

• Search relevancy engineering.
• Conversational AI Development: Design, train, fine-tune, and deploy LLMs with reasoning capabilities.
• Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources.
• Model Fine-Tuning & Training: Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT).
• Model Deployment & Inferencing: Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks.
• Multi-Agent Systems: Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy.
• AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS.
• End-to-End AI Product Development: Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring.
• Full-Stack Integration: Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js.
• Vector Databases & Search: Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch.

Required skills & experience:

• 3–5+ years in machine learning and software development
• Proficient in Python, PyTorch or TensorFlow or Hugging Face Transformers
• Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments.
• Full-stack experience (React, TypeScript, Node.js) and API development.
• Familiarity with vector search and multi-agent orchestration

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 Leicestershire.

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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