At a Glance
- Tasks: Build and manage infrastructure for cutting-edge AI models, ensuring efficiency and scalability.
- Company: Ultralytics is a leading innovator in AI, focused on developing world-class YOLO models.
- Benefits: Enjoy competitive salary, hybrid work flexibility, generous time off, and the latest tech gear.
- Why this job: Join a high-performance team dedicated to shaping the future of Vision AI with audacious goals.
- Qualifications: 5+ years in DevOps/MLOps, strong Python skills, and experience with cloud platforms and CI/CD pipelines.
- Other info: This role demands intense dedication and a commitment to excellence in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
Who We Are
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.
Location and Legalities
This full-time MLOps 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.
What You'll Do
As an MLOps Engineer at Ultralytics, you will build and manage the infrastructure that powers our cutting-edge AI models, from training to deployment. You will be at the heart of our operations, ensuring our machine learning lifecycle is efficient, scalable, and robust. Key responsibilities include:
- Designing, building, and maintaining our MLOps infrastructure on cloud platforms like GCP and AWS.
- Developing and managing automated CI/CD pipelines for model training, validation, and deployment using tools like GitHub Actions.
- Containerizing our applications and models using Docker and orchestrating them with Kubernetes for scalable model serving.
- Optimizing the performance of our Ultralytics YOLO models for various deployment targets, from high-performance cloud GPUs with CUDA to edge devices using frameworks like TensorRT and OpenVINO.
- Implementing robust systems for model monitoring and maintenance to track performance and detect data drift.
- Collaborating closely with our AI research team to streamline the transition of models from research to production within the Ultralytics HUB ecosystem.
- Managing our experiment tracking and versioning using tools like MLflow and DVC.
Your work will be critical to ensuring that our state-of-the-art models are accessible, reliable, and performant for our global user base.
Skills and Experience
- 5+ years of experience in a DevOps, SRE, or MLOps role.
- Strong proficiency in Python and extensive experience with ML frameworks like PyTorch.
- Proven experience building and managing CI/CD pipelines for machine learning systems.
- Deep expertise with containerization (Docker) and orchestration technologies (Kubernetes).
- Hands-on experience with at least one major cloud provider (GCP, Azure, AWS).
- Experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
- Familiarity with GPU acceleration using CUDA and model optimization for inference.
- Knowledge of MLOps tools for experiment tracking, and model serving such as MLflow, Kubeflow, or Weights & Biases.
- Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment.
Cultural Fit - Intensity Required
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.
- Startup Equity: 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 Hours: Tailor your working hours to suit your productivity.
- Tech: Engage with cutting-edge AI projects.
- Gear: Brand-new Apple MacBook and Apple Display provided.
- Team: Become part of a supportive and passionate team environment.
If you are driven to build the backbone of next-generation AI and are ready for an intense and rewarding challenge, we encourage you to apply to Ultralytics.
Contact Detail:
Ultralytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MLOps Engineer
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Docker, Kubernetes, and CI/CD pipelines. Having hands-on experience or projects showcasing these skills can set you apart during discussions.
✨Tip Number 2
Network with current or former employees of Ultralytics on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage during your interview.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've optimised machine learning models or built MLOps infrastructure. Be ready to share specific examples that demonstrate your problem-solving skills and ability to work in high-pressure environments.
✨Tip Number 4
Showcase your passion for AI and innovation by staying updated on the latest trends and advancements in the field. Mentioning recent developments or breakthroughs during your interview can highlight your enthusiasm and commitment to the industry.
We think you need these skills to ace MLOps Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in MLOps, DevOps, or SRE roles. Emphasise your proficiency in Python, CI/CD pipelines, and cloud platforms like GCP or AWS, as these are crucial for the position.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your skills align with Ultralytics' mission. Mention specific projects or experiences that demonstrate your expertise in containerization, orchestration, and model optimisation.
Showcase Relevant Projects: If you have worked on any notable projects related to MLOps or AI, include them in your application. Detail your role, the technologies used, and the impact of the project to illustrate your hands-on experience.
Highlight Cultural Fit: Ultralytics values intensity and dedication. In your application, convey your readiness to thrive in a high-performance environment and your commitment to achieving extraordinary results in AI.
How to prepare for a job interview at Ultralytics
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, ML frameworks like PyTorch, and your proficiency in building CI/CD pipelines. Bring examples of past projects where you've successfully implemented these technologies.
✨Demonstrate Your MLOps Knowledge
Familiarise yourself with the specific tools mentioned in the job description, such as Docker, Kubernetes, and cloud platforms like GCP or AWS. Be ready to explain how you've used these tools in previous roles.
✨Emphasise Problem-Solving Abilities
Ultralytics values excellent problem-solving skills. Prepare to discuss challenges you've faced in high-pressure environments and how you overcame them, particularly in relation to machine learning lifecycle management.
✨Align with Company Culture
Understand Ultralytics' high-performance culture and be ready to express your commitment to excellence and innovation. Share examples of how you've thrived in fast-paced settings and your dedication to achieving audacious goals.