At a Glance
- Tasks: Design and implement machine learning models to tackle real-world challenges.
- Company: Fast-growing AI startup with a collaborative culture.
- Benefits: Work in a dynamic environment with opportunities for growth and innovation.
- Other info: Ideal for those passionate about computer vision, graph theory, and symbolic AI.
- Why this job: Join a team solving complex problems using cutting-edge AI technologies.
- Qualifications: Experience in machine learning and a background in quantitative fields.
The predicted salary is between 60000 - 80000 £ per year.
Join a high-velocity team focused on solving complex technical challenges through applied machine learning. You will develop and deploy models that bridge the gap between theoretical research and production-grade products. This role offers the opportunity to work alongside intelligent problem solvers in a collaborative environment where cross-disciplinary expertise is highly valued.
Why this role is remarkable:
- Work on cutting-edge applications involving computer vision, graph theory, and symbolic AI in a fast-paced environment.
- Join a well-funded organization backed by top-tier VCs at a pivotal stage of their product evolution.
- Benefit from a culture that values diverse backgrounds in math, physics, and science alongside traditional computer science.
What you will do:
- Design and implement scalable machine learning models to solve real-world technical problems.
- Collaborate with engineering teams to integrate AI capabilities into production-ready software systems.
- Experiment with symbolic AI and graph theory to enhance the intelligence of existing platforms.
The ideal candidate:
- Has zero to seven years of experience with a strong background in an early-stage startup environment.
- Possesses applied exposure to computer vision, graph theory, or symbolic AI frameworks.
- Holds a degree in a quantitative field such as Computer Science, Mathematics, Physics, or Engineering.
Required Skills: Machine Learning, Software Engineering, Physics
Required Languages: English
Applied ML Engineer — Production AI (CV/Graph/Symbolic) in London employer: Jack & Jill
As a fast-growing AI startup based in San Francisco, we offer an exceptional work environment that fosters innovation and collaboration among talented individuals from diverse backgrounds. Our culture prioritises continuous learning and growth, providing employees with the opportunity to tackle cutting-edge challenges in applied machine learning while being supported by top-tier venture capital. Join us to be part of a dynamic team where your contributions directly impact the evolution of groundbreaking AI technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Applied ML Engineer — Production AI (CV/Graph/Symbolic) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving computer vision or graph theory. We recommend using platforms like GitHub to share your code and demonstrate your problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on your machine learning concepts and coding skills. We suggest doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Applied ML Engineer — Production AI (CV/Graph/Symbolic) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning, especially in areas like computer vision, graph theory, and symbolic AI. We want to see how your background fits into our fast-paced startup vibe!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for applied machine learning and how you can contribute to our team. Let us know why you're excited about working on cutting-edge applications with us.
Showcase Relevant Projects:If you've worked on any projects related to machine learning or AI, make sure to include them! We love seeing real-world applications of your skills, so don’t hold back on the details.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with our team!
How to prepare for a job interview at Jack & Jill
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially in areas like computer vision, graph theory, and symbolic AI. Be ready to discuss how these concepts apply to real-world problems, as this will show your understanding of the role's requirements.
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on that relate to applied machine learning. Highlight your role, the challenges you faced, and how you overcame them. This gives interviewers insight into your practical experience and problem-solving skills.
✨Collaborative Mindset
Since the role involves working with cross-disciplinary teams, be prepared to discuss how you’ve collaborated with others in past projects. Share examples that demonstrate your ability to communicate complex ideas clearly and work effectively in a team setting.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current projects and future direction. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values, especially in a fast-paced startup environment.
