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For Companies At a Glance
- Tasks: Develop and optimise cutting-edge AI models for real-world applications.
- Company: Ultralytics is a leader in open-source AI innovation, shaping the future of Vision AI.
- Benefits: Enjoy a vibrant office environment in London with opportunities for professional growth.
- Why this job: Join a passionate team making a global impact in AI technology and innovation.
- Qualifications: Candidates should have a strong background in machine learning and programming skills.
- Other info: This role requires legal authorization to work in the UK; no visa sponsorship available.
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 open-source 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 Machine Learning 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.
Machine Learning Engineer employer: Ultralytics
Contact Detail:
Ultralytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning. Being able to discuss recent trends or breakthroughs during your interview will show your passion and commitment to the field.
✨Tip Number 2
Engage with the open-source community, especially those related to Ultralytics' projects. Contributing to relevant repositories or forums can help you build connections and demonstrate your skills.
✨Tip Number 3
Prepare to showcase your previous projects or experiences that align with Vision AI. Be ready to explain your thought process and the impact of your work, as this will highlight your problem-solving abilities.
✨Tip Number 4
Network with current employees or attend industry events where Ultralytics is present. Making connections can provide valuable insights into the company culture and potentially give you an edge in the hiring process.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the specific skills and experiences Ultralytics is looking for in a Machine Learning Engineer. Tailor your application to highlight relevant experience in AI and machine learning.
Showcase Your Passion: In your cover letter or personal statement, express your enthusiasm for AI and how it drives you. Mention any projects or contributions you've made in the field of AI that demonstrate your commitment and passion.
Highlight Relevant Skills: Make sure to include technical skills that are pertinent to the role, such as programming languages (Python, TensorFlow, etc.), data analysis, and machine learning frameworks. Use specific examples to illustrate your expertise.
Proofread Your Application: Before submitting, thoroughly proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial in a technical role like this.
How to prepare for a job interview at Ultralytics
✨Show Your Passion for AI
Make sure to express your enthusiasm for artificial intelligence during the interview. Share specific projects or experiences that highlight your obsession with AI and how you’ve contributed to innovative solutions in the field.
✨Demonstrate Technical Expertise
Prepare to discuss your technical skills in machine learning, including algorithms, frameworks, and tools you've used. Be ready to solve problems on the spot or explain your thought process behind certain decisions in past projects.
✨Understand Ultralytics' Vision
Research Ultralytics and their open-source models before the interview. Familiarise yourself with their products and recent developments in Vision AI, so you can align your answers with their goals and demonstrate your fit for the team.
✨Ask Insightful Questions
Prepare thoughtful questions about the company culture, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if Ultralytics is the right place for you.
