At a Glance
- Tasks: Design and optimise AI/ML models for innovative mobile applications.
- Company: Join a dynamic, family-founded tech company with a global impact.
- Benefits: Enjoy top-tier health insurance, free meals, and a supportive work environment.
- Other info: Relocation support available; diverse and inclusive workplace.
- Why this job: Be at the forefront of AI innovation and shape the future of resource management.
- Qualifications: 4+ years in AI/ML, proficient in Python and ML frameworks.
The predicted salary is between 70000 - 90000 £ 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.
Remote AI/ML Engineer, London in Bury employer: Air Apps
At Air Apps, we pride ourselves on being an innovative and inclusive employer, dedicated to empowering our team members through a dynamic work culture and exceptional benefits. As a Remote AI/ML Engineer in our Lisbon office, you'll enjoy top-tier health insurance, a supportive relocation process, and opportunities for professional growth while collaborating with passionate colleagues on groundbreaking AI solutions. Join us in redefining resource management and experience a workplace that values creativity, diversity, and personal development.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI/ML Engineer, London in Bury
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Air Apps!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Remote AI/ML Engineer, London at Air Apps.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Air Apps.
✨Apply Directly through Our Website
When you find a suitable opening like Remote AI/ML Engineer, London at Air Apps, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Remote AI/ML Engineer, London in Bury
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Air Apps, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Air Apps. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Air Apps
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Air Apps!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
