Ultralytics Logo

Ultralytics

LLM Engineer

Reposted 2 Months Ago
Be an Early Applicant
Hybrid
London, Greater London, England, GBR
Senior level
Hybrid
London, Greater London, England, GBR
Senior level
Develop and scale LLM-powered applications and RAG systems, integrate multi-API workflows, design vector storage and data pipelines, fine-tune LLMs, collaborate on multi-modal computer vision projects, and automate CI/CD for deployment and testing.
The summary above was generated by AI

About Ultralytics:

At Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. If you're obsessed with AI, eager to make an impact on the world, and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team.

🌎 Where and how you can work

This full-time LLM Engineer position is based at our brand-new Ultralytics office in London, UK, with a hybrid model of three days in-office and two days remote. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship.

🚀 What you'll do

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. Key responsibilities include:

  • Developing and scaling robust LLM-powered applications using a variety of APIs, including OpenAI, Anthropic, and Gemini.

  • Implementing and managing multi-API workflows using tools like LiteLLM to ensure flexibility and resilience.

  • 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.

  • Collaborating with our YOLO development team to explore and build innovative multimodal solutions.

  • Automating deployment and testing processes using CI/CD pipelines with GitHub Actions.

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

🧠 Skills and experience

  • 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.

  • Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions.

  • A strong interest in computer vision and an understanding of object detection models like Ultralytics YOLO26 is a significant plus.

  • Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment.

🌟 Cultural fit

Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI.

💰 Compensation and benefits

  • Competitive salary: Highly competitive based on experience.

  • Equity packages: Participate directly in our company's growth and success.

  • 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 working hours: Tailor your working hours to suit your productivity.

  • Tech & tools: Engage with cutting-edge AI projects and contribute to leading open-source software.

  • Gear: Brand-new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3.

  • Team: Become part of a supportive and passionate team environment.

What we offer:

Cutting-Edge, Next-Generation AI Computer Vision Technology: Contribute to building cutting-edge computer vision AI models based on the YOLO framework.

Impactful Work: Shape the future of AI-powered solutions that transform industries.

Collaborative Culture: Join a talented and passionate team that values open communication and innovation.

Ultralytics Handbook

Comprehensive guide to our company's mission, vision, values, and operational practices. This handbook is designed to provide key insights and resources for our (future) team members, collaborators, and community to align with Ultralytics' core principles.

Link: https://handbook.ultralytics.com/

Ultralytics is an equal opportunity employer committed to building an inclusive workplace. We believe that everyone should be able to bring their whole selves to work, and we do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or any other legally protected status.

Similar Jobs

26 Days Ago
Hybrid
London, Greater London, England, GBR
Entry level
Entry level
Financial Services
Lead hands-on engineering for an enterprise LLM Suite platform, designing and delivering production-grade AI/ML, GenAI, and agentic systems. Responsibilities include architecture ownership, secure Python and FastAPI development, microservices and API implementation, cloud-based integrations using Azure OpenAI and AWS Bedrock, operational stability, resiliency, CI/CD, and collaboration across engineering teams. The role also explores agent-to-agent communication, Model Context Protocol, and agentic orchestration patterns.
Top Skills: APIsAWSAws BedrockAzureAzure OpenaiCi/CdContainerizationFastapiLanggraphMessaging QueuesMicroservicesModel Context Protocol (Mcp)Nosql DatabasesPython
15 Hours Ago
In-Office
London, Greater London, England, GBR
Senior level
Senior level
Biotech
Architects and builds secure, scalable LLM systems and agentic infrastructure for scientific and business workflows. Responsibilities include model serving, observability, governance, cost management, context management, tool use, RAG, evaluation frameworks, IDE integrations, fine-tuning support, and collaboration with researchers and business stakeholders. The role requires production-grade Python, cloud system design, LLM internals expertise, and experience with probabilistic ML systems.
Top Skills: Google Cloud Platform (Gcp)Infrastructure As Code (Iac)Large Language Models (Llms)Model Context Protocol (Mcp)PythonRetrieval-Augmented Generation (Rag)Vllm
16 Days Ago
Hybrid
London, England, GBR
Senior level
Senior level
eCommerce • Retail
Design and industrialize production-grade AI and LLM platforms for ASOS. Build RAG systems, fine-tuned models, agentic workflows, orchestration layers, evaluation frameworks, vector retrieval pipelines, and AI safety guardrails on Azure. Develop reusable capabilities that scale across teams, optimize performance, cost, and reliability, and partner with security stakeholders on governance and responsible AI.
Top Skills: Azure Ai StudioAzure Cognitive ServicesAzure Kubernetes Service (Aks)Azure Machine LearningAzure OpenaiCi/CdEmbeddingsFine-TuningLangchainLlmopsLlmsMlopsMulti-Agent OrchestrationPythonRetrieval-Augmented Generation (Rag)Semantic KernelTransformer ModelsVector Search

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account