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- Tasks: Develop data-powered applications using machine learning and analytics for real-world decision-making.
- Company: Join a leading SaaS tech company solving complex operational challenges with advanced data solutions.
- Benefits: Enjoy a fast-paced environment, ownership of projects, and collaboration with a senior engineering team.
- Why this job: Be part of impactful projects that integrate AI and data analytics into everyday applications.
- Qualifications: 3+ years as a full stack developer with experience in Python, APIs, and cloud platforms.
- Other info: Ideal for those passionate about solving complex data challenges and building intelligent systems.
The predicted salary is between 36000 - 60000 £ per year.
Want to build the next generation of viral consumer apps?I’m hiring on behalf of a global digital media and entertainment company that has built one of the world’s largest online audiences – 100M+ followers across 100+ channels and 25B+ annual views.They’ve mastered creating viral content at scale. Now they’re turning that distribution power into AI-powered consumer apps, and they’re looking for a builder who can ship ambitious products end-to-end.About the CompanyThis is a fast-moving, entrepreneurial group operating at the intersection of media, technology, and product. The team spans 15+ countries, with 35+ people globally, and a HQ in London. From viral storytelling to large-scale growth, they’ve proven they can capture attention at massive scale. Joining now means stepping into a founding engineer role on their product team – building apps designed to reach millions worldwide. Why You’ll Love It Ownership: Shape the tech culture and own core builds from day one. Impact: Your work will reach a truly global audience, fast. Pace: If you thrive in fast-moving, experiment-driven environments, you’ll love it here. What You’ll DoBuild and launch web + mobile features from prototype to productionShip to App Store + Google Play, run release cyclesSet up analytics, crash reporting, push notifications, and in-app purchasesDesign and ship APIs (REST/GraphQL)Implement LLM-powered features (OpenAI SDKs, LangChain, embeddings, vector search, RAG)Collaborate with growth + creative teams to test and ship weekly What We’re Looking ForShipped production mobile apps Experience designing/extending APIsHands-on with LLMs + evaluation approachesStrong product sense, builder mindset, and ability to move fastBonus: payments/IAP, WebSockets, media processing, growth experimentsToolkit You’ll Likely UseReact, Next.js, Tailwind • React Native/Flutter • Node.js, TypeScript, Firebase/Supabase/Postgres • OpenAI SDKs, LangChain, Pinecone/Weaviate • Vercel/Cloud, CI/CD, Sentry/Crashlytics, Mixpanel/GAThis is more than a job, it’s a chance to be a founding builder inside a global media + tech company that already knows how to capture attention at scale. If you want to build apps used by millions, let’s talk.
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LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, Node.js, and libraries like Scikit-learn and TensorFlow. Having hands-on experience or projects showcasing these skills can set you apart from other candidates.
✨Tip Number 2
Showcase your experience with cloud platforms like Azure or AWS. If you've deployed applications or services on these platforms, be ready to discuss your approach and any challenges you faced during deployment.
✨Tip Number 3
Prepare to discuss your experience with REST APIs and how you've built or consumed them in past projects. Being able to articulate your understanding of API integration will demonstrate your capability in developing seamless data flows.
✨Tip Number 4
Highlight any experience you have with data analytics and machine learning systems. Be prepared to share examples of how you've applied these technologies to solve real-world problems, as this aligns closely with the role's focus on delivering predictive insights.
We think you need these skills to ace Full Stack Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience as a Full Stack Developer, particularly focusing on your work with Python, REST APIs, and machine learning tools like Scikit-learn and TensorFlow. Use specific examples to demonstrate your skills in building and integrating data-driven applications.
Craft a Compelling Cover Letter: In your cover letter, express your passion for solving complex data challenges and how your background aligns with the company's mission. Mention your familiarity with cloud platforms like Azure or AWS and your experience in deploying machine learning models in production.
Showcase Relevant Projects: If you have worked on projects that involved advanced analytics, machine learning, or full stack development, be sure to include these in your application. Describe your role, the technologies used, and the impact of your contributions.
Highlight Collaboration Skills: Since the role involves working closely with a senior product engineering team, emphasise your ability to collaborate effectively. Provide examples of how you've worked with architects and stakeholders to deliver successful projects.
How to prepare for a job interview at LinkedIn
✨Showcase Your Full Stack Skills
Be prepared to discuss your experience with both frontend and backend technologies. Highlight specific projects where you integrated machine learning models or built APIs, as this aligns closely with the role's requirements.
✨Demonstrate Your Problem-Solving Abilities
Expect questions that assess your approach to solving complex data challenges. Share examples of how you've tackled difficult problems in past projects, particularly those involving data analytics or ML integration.
✨Familiarise Yourself with Relevant Technologies
Brush up on Python, Scikit-learn, TensorFlow, and cloud platforms like Azure or AWS. Being able to discuss these tools confidently will show your technical proficiency and readiness for the role.
✨Prepare Questions About the Company and Role
Have insightful questions ready about the company's approach to data integration and the specific challenges they face. This demonstrates your genuine interest in the position and helps you assess if it's the right fit for you.
