AWS Engineer - Fully Remote in City of London
AWS Engineer - Fully Remote

AWS Engineer - Fully Remote in City of London

City of London Full-Time 36000 - 60000 £ / year (est.) No home office possible
Ultralytics

At a Glance

  • Tasks: Lead the development of advanced AI language models and integrate them with cutting-edge computer vision tech.
  • Company: Join Ultralytics, a leader in AI innovation and YOLO models.
  • Benefits: Competitive salary, flexible hours, generous time off, and top-notch tech gear.
  • Why this job: Make a global impact in AI while working on groundbreaking projects.
  • Qualifications: 5+ years in software engineering with a focus on AI and ML; expert in Python.
  • Other info: Dynamic environment with opportunities for extraordinary results and career growth.

The predicted salary is between 36000 - 60000 £ per year.

At Ultralytics, we relentlessly drive innovation in AI, building the world's leading YOLO models. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI.

This full-time LLM Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship.

As an LLM Engineer at Ultralytics, you will spearhead the development and integration of advanced language model capabilities across our ecosystem. You will work on cutting-edge projects that merge the power of Large Language Models (LLMs) with our state-of-the-art computer vision technologies. Your responsibilities will include:

  • Building sophisticated Retrieval-Augmented Generation (RAG) systems, leveraging advanced techniques like embeddings with Voyage AI, rerankers, and query enrichment.
  • Designing and maintaining efficient data pipelines and vector storage solutions using MongoDB Atlas Vector Search.
  • Fine-tuning LLMs on custom datasets to enhance performance for specialized tasks related to our documentation and user support.
  • Automating deployment and testing processes using CI/CD pipelines with GitHub Actions.

Your work will directly enhance the Ultralytics HUB platform and empower our global community of developers and researchers.

Requirements:

  • 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML).
  • Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch.
  • Proven experience building and deploying applications with LLM APIs such as OpenAI, Anthropic, Gemini, and DeepSeek.
  • Hands-on experience with the full RAG pipeline, including vector embeddings, rerankers, and data indexing in databases like MongoDB.
  • Practical knowledge of LLM fine-tuning, prompt engineering, and performance optimization.
  • A strong interest in computer vision and an understanding of object detection models like Ultralytics YOLO is a significant plus.

Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you.

Compensation and Benefits:

  • Competitive Salary: Highly competitive based on experience.
  • Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote.
  • Generous Time Off: 24 days vacation, your birthday off, plus local holidays.
  • Flexible Hours: Tailor your working hours to suit your productivity.
  • Tech: Engage with cutting-edge AI projects and contribute to leading open-source software.
  • Gear: Brand-new Apple MacBook and Apple Display provided.

If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity.

AWS Engineer - Fully Remote in City of London employer: Ultralytics

At Ultralytics, we pride ourselves on fostering a high-energy work culture that thrives on innovation and collaboration. As an AWS Engineer, you will be part of a dynamic team dedicated to pushing the boundaries of AI technology, with ample opportunities for professional growth and development. Enjoy a competitive salary, generous time off, and the flexibility to tailor your working hours while contributing to groundbreaking projects in our state-of-the-art London office.
Ultralytics

Contact Detail:

Ultralytics Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AWS Engineer - Fully Remote in City of London

✨Tip Number 1

Network like a pro! Reach out to folks in the AI and machine learning space, especially those who work at Ultralytics or similar companies. A friendly chat can open doors and give you insider info on what they’re really looking for.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and computer vision. Share it on platforms like GitHub and make sure to link it in your applications. We love seeing what you can do!

✨Tip Number 3

Prepare for the interview by brushing up on your technical skills and understanding of the latest trends in AI. Practice explaining complex concepts simply; we want to see how you communicate your passion and expertise.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Ultralytics. Don’t miss out on this chance to make an impact!

We think you need these skills to ace AWS Engineer - Fully Remote in City of London

AI and Machine Learning
Python
Deep Learning Frameworks
PyTorch
LLM APIs (OpenAI, Anthropic, Gemini, DeepSeek)
Retrieval-Augmented Generation (RAG)
Vector Embeddings
Data Indexing
MongoDB Atlas Vector Search
LLM Fine-Tuning
Prompt Engineering
Performance Optimization
Computer Vision
Object Detection Models (Ultralytics YOLO11)

Some tips for your application 🫡

Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see that you're not just qualified, but genuinely excited about the work we do at Ultralytics. Share any personal projects or experiences that highlight your obsession with AI.

Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the AWS Engineer role. Highlight relevant experience in software engineering, AI, and machine learning, especially with LLMs and Python. We love seeing how your skills align with our needs!

Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff without unnecessary fluff.

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Ultralytics.

How to prepare for a job interview at Ultralytics

✨Know Your AI Stuff

Make sure you brush up on your knowledge of AI and machine learning concepts, especially those related to large language models. Be ready to discuss your experience with frameworks like PyTorch and any projects you've worked on that involved LLM APIs. This will show your passion and expertise in the field.

✨Showcase Your Problem-Solving Skills

Prepare to talk about specific challenges you've faced in previous roles, particularly around building and deploying applications. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting how you tackled complex problems and what the outcomes were.

✨Get Familiar with Their Tech Stack

Research Ultralytics' tech stack, especially MongoDB Atlas Vector Search and CI/CD processes with GitHub Actions. Being able to discuss how you've used similar technologies or how you would approach using them in your role can set you apart from other candidates.

✨Demonstrate Your Passion for Innovation

Ultralytics is all about driving innovation, so be prepared to share your thoughts on the future of AI and computer vision. Discuss any personal projects or ideas you have that align with their mission, showing that you're not just looking for a job, but are genuinely excited about contributing to their vision.

AWS Engineer - Fully Remote in City of London
Ultralytics
Location: City of London

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