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- Tasks: Join us to design and deploy cutting-edge AI models and pipelines.
- Company: Be part of a high-growth organisation revolutionising AI-powered automation.
- Benefits: Enjoy a competitive salary, benefits package, and office-based work in Manchester.
- Why this job: Make a real impact in the future of AI while working on innovative projects.
- Qualifications: 3-5+ years in ML engineering, deep Python skills, and full-stack development experience required.
- Other info: Opportunity to work with advanced technologies like Generative AI and multi-agent frameworks.
The predicted salary is between 43200 - 72000 £ per year.
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
- Vector Search: Use FAISS, Weaviate, Pinecone, ChromaDB, OpenSearch
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 Manchester.
Machine Learning/AI Engineer employer: The Portfolio Group
Contact Detail:
The Portfolio Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning/AI Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in Generative AI and Retrieval-Augmented Generation. Being able to discuss recent developments or projects you've worked on in these areas will show your passion and expertise during interviews.
✨Tip Number 2
Build a portfolio showcasing your full-stack development skills, particularly with APIs and cloud-native applications. Having tangible examples of your work can set you apart from other candidates and demonstrate your hands-on experience.
✨Tip Number 3
Network with professionals in the AI and ML community, especially those who have experience with tools like LangChain and AutoGen. Engaging in discussions or attending meetups can provide insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your experience with MLOps and cloud services, particularly AWS. Be ready to explain how you've deployed models using SageMaker or similar tools, as this is crucial for the role.
We think you need these skills to ace Machine Learning/AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning engineering and full-stack development. Emphasise your proficiency in Python, as well as any relevant projects involving LLMs, RAG, and cloud-native AI.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and automation. Mention specific projects or experiences that align with the job description, particularly those involving Generative AI and multi-agent reasoning frameworks.
Showcase Relevant Skills: In your application, clearly outline your technical skills, especially in Python, PyTorch, TensorFlow, and AWS. Include any experience with tools like LangChain, FastAPI, and vector databases to demonstrate your fit for the role.
Highlight Problem-Solving Experience: Provide examples of how you've tackled complex problems in previous roles. Discuss your approach to building scalable pipelines or deploying models, as this will resonate with the company's focus on cutting-edge projects.
How to prepare for a job interview at The Portfolio Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, PyTorch, TensorFlow, and Hugging Face. Highlight specific projects where you've implemented LLMs or RAG, as this will demonstrate your hands-on expertise.
✨Demonstrate Full-Stack Knowledge
Since the role requires full-stack development skills, be ready to talk about your experience with React, TypeScript, and Node.js. Prepare examples of APIs you've built and how they integrate with front-end technologies.
✨Familiarise Yourself with Cloud Technologies
Understand the cloud services mentioned in the job description, particularly AWS tools like SageMaker and Lambda. Be ready to discuss how you've deployed machine learning models in a cloud environment.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities, especially related to multi-agent frameworks and vector databases. Practice explaining your thought process clearly and concisely.
