At a Glance
- Tasks: Lead the development of AI features and manage data pipelines for innovative applications.
- Company: Visible Hands, a forward-thinking tech company based in London.
- Benefits: Annual wellbeing allowance, generous vacation time, and a supportive work environment.
- Other info: Opportunity to grow in a dynamic and collaborative tech environment.
- Why this job: Shape the future of AI while mentoring others and collaborating with talented teams.
- Qualifications: 6+ years in engineering with a focus on data-intensive production systems.
The predicted salary is between 70000 - 90000 £ per year.
Visible Hands in London is seeking a Staff AI Engineer to own the full lifecycle of AI applications including data pipelines and production-ready features. The candidate should have 6+ years of experience in engineering, particularly with data-intensive production systems. This full-time role emphasizes collaboration with Product and Engineering teams while focusing on scalable AI solutions and mentoring others.
Benefits include an annual wellbeing allowance and generous vacation time.
Staff AI Engineer: Lead AI Features & Pipelines in London employer: Visible Hands
Visible Hands is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, we offer opportunities for mentorship and professional development, alongside benefits such as an annual wellbeing allowance and generous vacation time, making it a rewarding place to advance your career in AI engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Staff AI Engineer: Lead AI Features & Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space, especially those at Visible Hands. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with data pipelines and scalable AI solutions. This will give you an edge during interviews and show that you’re ready to hit the ground running.
✨Tip Number 3
Practice makes perfect! Get comfortable discussing your past projects and how they relate to the role. Be ready to explain your thought process and how you’ve collaborated with teams in the past.
✨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 take that extra step!
We think you need these skills to ace Staff AI Engineer: Lead AI Features & Pipelines in London
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 6+ years of experience in engineering, especially with data-intensive production systems. We want to see how your background aligns with the role, so don’t hold back on those impressive projects!
Collaborate and Communicate:Since this role involves working closely with Product and Engineering teams, it’s crucial to showcase your collaboration skills. Share examples of how you’ve successfully worked in teams and mentored others in your application.
Focus on Scalability:We’re all about scalable AI solutions, so make sure to mention any relevant experience you have in building or optimising scalable systems. This will show us that you understand the importance of scalability in AI applications.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Visible Hands
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI applications and data pipelines. Be ready to discuss your past experiences with data-intensive production systems, as this will show that you understand the technical requirements of the role.
✨Showcase Collaboration Skills
Since the role involves working closely with Product and Engineering teams, prepare examples of how you've successfully collaborated in the past. Highlight any projects where teamwork led to scalable AI solutions, as this will demonstrate your ability to fit into their culture.
✨Mentorship Matters
As a Staff AI Engineer, mentoring others is key. Think about times when you've guided junior engineers or contributed to team development. Be ready to share these experiences, as they’ll want to see your leadership potential.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI initiatives and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it’s a great way to engage with your interviewers!
