At a Glance
- Tasks: Design and optimise AI/ML models for innovative mobile applications.
- Company: Join Air Apps, a pioneering tech company with a mission to revolutionise resource planning.
- Benefits: Enjoy top-tier health insurance, free meals, and a supportive work environment.
- Other info: Dynamic workplace with relocation support and excellent career growth opportunities.
- Why this job: Be part of a creative team shaping the future of AI-driven solutions.
- 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 Stockport employer: Air Apps
At Air Apps, we pride ourselves on being an innovative and inclusive employer, dedicated to pushing the boundaries of AI technology while fostering a collaborative work environment. Our London office offers a dynamic atmosphere where creativity thrives, supported by comprehensive benefits such as top-tier health insurance, childcare support, and a focus on employee well-being through initiatives like the Urban Sports Club membership. Join us to not only advance your career in AI/ML but also to be part of a mission-driven team that values diversity and empowers individuals to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI/ML Engineer, London in Stockport
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Air Apps or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Air Apps.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Air Apps.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Air Apps that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Remote AI/ML Engineer, London in Stockport
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Air Apps.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Air Apps and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Air Apps
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Air Apps uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
