At a Glance
- Tasks: Design and optimise machine learning models for innovative mobile applications.
- Company: Join Air Apps, a dynamic tech company on a mission to revolutionise resource planning.
- Benefits: Enjoy top-tier health insurance, free meals, and an Apple hardware ecosystem.
- Other info: Relocation support available; embrace a diverse and inclusive workplace.
- Why this job: Be part of a creative team shaping AI solutions that impact lives globally.
- Qualifications: 4+ years in AI/ML, proficiency in Python, and experience with mobile applications.
The predicted salary is between 60000 - 80000 £ per year.
About Air Apps
At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way.
The Role
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.
Responsibilities
- Develop, train, and optimize machine learning models for various mobile app features.
- Research and implement state-of-the-art AI techniques to improve user engagement and app performance.
- Collaborate with cross-functional teams to integrate AI-driven solutions into our applications.
- Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring.
- Analyze large datasets to derive insights and drive data-driven decision-making.
- Stay updated with the latest AI trends and best practices, incorporating them into our development processes.
- Optimize AI models for mobile environments to ensure high performance and low latency.
Requirements
- Around 4+ years of experience in AI/ML development, preferably in mobile applications.
- Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
- Experience with deep learning, NLP, computer vision, and statistical modeling.
- Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure).
- Strong understanding of data structures, algorithms, and software engineering best practices.
- Experience in deploying and maintaining ML models in production.
- Ability to work collaboratively in a remote team environment.
- Strong problem-solving skills and a passion for innovation.
What benefits do we offer?
- Apple hardware ecosystem for work.
- Annual Bonus.
- Top-tier Health and Life Insurance for peace of mind.
- Transportation Budget to support your commute needs.
- Coverflex benefits package for meal allowances, well-being, and more.
- Childcare support.
- Air Conference - an opportunity to meet the team, collaborate, and grow together.
- Pension Fund to support your long-term financial planning.
- Urban Sports Club membership to keep you active.
- Meals 100% free at the hub.
Diversity & Inclusion
At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.
Application Disclaimer
At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.
AI/ML Engineer, London employer: airapps
At Air Apps, we pride ourselves on being an innovative and dynamic employer, dedicated to pushing the boundaries of AI technology in a collaborative and fast-paced environment. Our London office offers a vibrant work culture with ample opportunities for personal and professional growth, supported by a comprehensive benefits package that includes top-tier health insurance, childcare support, and a focus on diversity and inclusion. Join us to be part of a mission-driven team that values creativity and empowers you to make a meaningful impact in the world of mobile applications.
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Engineer, London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Air Apps. A personal introduction can make all the difference in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those related to mobile applications. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail—this is your chance to shine!
✨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, it shows you’re genuinely interested in joining the Air Apps family.
We think you need these skills to ace AI/ML Engineer, London
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for AI and machine learning shine through! We want to see how your passion aligns with our mission to innovate and change lives.
Tailor Your CV:Make sure your CV is tailored to the role of AI/ML Engineer. Highlight your relevant experience, especially in mobile applications, and don’t forget to mention any cool projects you've worked on that showcase your skills!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for our team. Share specific examples of your work and how it relates to what we do at Air Apps. Keep it engaging and personal!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at airapps
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI and machine learning concepts, especially those relevant to mobile applications. Be ready to discuss your experience with frameworks like TensorFlow or PyTorch, and have examples of projects where you've optimised models for performance.
✨Showcase Your Problem-Solving Skills
Prepare to share specific instances where you've tackled complex problems in your previous roles. Think about challenges you've faced in deploying ML models or working with large datasets, and how you approached them. This will demonstrate your analytical thinking and creativity.
✨Collaborate Like a Pro
Since the role involves working closely with cross-functional teams, be ready to talk about your collaboration experiences. Highlight how you've effectively communicated with product managers, engineers, and designers to integrate AI solutions into applications.
✨Stay Updated on Trends
Air Apps values innovation, so show that you're passionate about staying current with AI trends. Mention any recent developments in AI that excite you and how you plan to incorporate these into your work. This shows your commitment to continuous learning and improvement.
