At a Glance
- Tasks: Build AI-enabled applications and collaborate with diverse teams to deliver scalable solutions.
- Company: Women in Data® - a forward-thinking organisation promoting diversity in tech.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on learning and mentorship.
- Why this job: Join a mission-driven team and make a real impact in the AI landscape.
- Qualifications: Strong engineering or software development background; cloud experience is a bonus.
The predicted salary is between 70000 - 100000 € per year.
Women in Data® is seeking talented individuals to build AI-enabled applications and platforms in Greater London. The role involves collaborating across engineering, architecture, product, and business teams to deliver scalable AI solutions.
Strong foundations in engineering or software development are essential, with experience in cloud environments being a plus. Ideal candidates will have a passion for learning and mentoring within dynamic settings.
Lead AI Engineer & Technical Innovator employer: Women in Data®
Women in Data® is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer numerous opportunities for learning and mentorship, ensuring that our team members thrive in their careers while contributing to impactful AI solutions. Join us to be part of a forward-thinking organisation that values diversity and empowers its employees to make a meaningful difference.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer & Technical Innovator
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or contributions to open-source software. This gives us a tangible way to see your expertise and passion for innovation.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and think about how you can demonstrate your collaborative spirit and mentoring abilities.
✨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 to engage with us directly.
We think you need these skills to ace Lead AI Engineer & Technical Innovator
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and technology shine through. We want to see how your passion aligns with our mission at StudySmarter, so don’t hold back on sharing your experiences and projects that showcase your love for innovation.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Lead AI Engineer role. Highlight your engineering or software development background and any relevant cloud experience. We appreciate candidates who take the time to connect their skills with what we’re looking for.
Be Clear and Concise:Keep your application clear and to the point. We’re busy folks, so make it easy for us to see why you’re a great fit. Use bullet points where possible and avoid jargon unless it’s necessary to explain your expertise.
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 the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Women in Data®
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI. Be prepared to discuss your previous projects and how they relate to building AI-enabled applications. This shows your passion and expertise, which is exactly what Women in Data® is looking for.
✨Collaborate Like a Pro
Since the role involves working with various teams, think of examples where you've successfully collaborated across different departments. Highlight your communication skills and how you can bridge gaps between engineering, architecture, product, and business teams.
✨Show Off Your Cloud Skills
If you have experience in cloud environments, be ready to talk about it! Discuss specific platforms you've worked with and how you've leveraged them to deliver scalable solutions. If you're not as experienced, do some research on popular cloud services and be prepared to discuss how you would approach using them.
✨Emphasise Your Mentoring Experience
Women in Data® values candidates who are passionate about learning and mentoring. Share instances where you've helped others grow or how you've fostered a learning environment. This will demonstrate your commitment to personal and team development.
