At a Glance
- Tasks: Join our team to develop AI-driven sports tech and redefine athletic performance.
- Company: PACETEQ, a cutting-edge sports technology company focused on innovation.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Other info: Collaborative environment with direct access to leadership and exciting career advancement.
- Why this job: Make a real impact in sports by turning AI concepts into game-changing solutions.
- Qualifications: 3-6 years in fullstack engineering with AI/ML experience and strong JavaScript skills.
The predicted salary is between 60000 - 80000 £ per year.
Before the lights go out… before the big move is called… There’s data. There’s technology. There’s AI. As a Full Stack AI Engineer, you will be a core part of our product and AI engineering team as we build the future of sports tech. You won’t just write code - you’ll help redefine what’s possible in professional sports. You're joining at a pivotal moment: when AI is breaking into every level of sport and redefining the competitive edge. Your work will directly influence how athletes perform, how decisions are made, and how fans and teams connect with data.
If you’re passionate about innovation with real-world impact, and excited by the intersection of technology and high-performance environments - this is your opportunity to own outcomes, move fast, and thrive when the stakes are high, by turning AI from concept to scoreboard.
- Drive innovation by leading the development of AI-based systems that will redefine what’s possible in sports.
- Design, develop, and maintain scalable fullstack web applications integrating AI/ML models.
- Collaborate on building PACETEQ’s unified Sports Data Platform.
- Implement backend services, RESTful APIs, and frontend UIs in modern JavaScript frameworks (React, or similar).
- Integrate ML models into production systems.
- Help define software architecture that supports real-time decision intelligence for sports.
- Contribute to DevOps and ML Ops pipelines.
- Learn and grow through cross-functional projects with a crew of embedded engineers, application developers, and sports experts.
- Operate with speed and precision in a performance-driven environment.
- Report directly to our CTO and work shoulder-to-shoulder with the CEO when the stakes are high.
Requirements:
- 3–6 years experience in fullstack engineering with exposure to AI/ML.
- Proficiency with JavaScript, React, and other web technologies.
- Hands-on experience deploying machine learning models in a production environment.
- Strong API design skills (REST / GraphQL).
- Experience with containerization (Docker), cloud platforms (AWS), CI/CD.
- Familiarity with AI tools/libraries (scikit-learn, PyTorch/TensorFlow, OpenCV, etc.).
- High accountability and ownership: able to independently deliver full features.
- Strong verbal + written communication in English.
- Adaptable mindset — solving technical challenges in fast-moving environments.
At PACETEQ, performance starts with people. We reward talent, celebrate collaboration, and create space for you to do your best work while enjoying the journey.
Remote FULL STACK AI ENGINEER in Fife employer: Paceteq Gmbh
At PACETEQ, we pride ourselves on being an innovative leader in sports technology, where our Full Stack AI Engineers play a crucial role in shaping the future of professional sports. Our dynamic work culture fosters collaboration and creativity, offering ample opportunities for professional growth while working alongside industry experts. With a focus on high-performance environments, we empower our employees to take ownership of their projects and drive meaningful change, all while enjoying the thrill of pushing technological boundaries.
StudySmarter Expert Advice🤫
We think this is how you could land Remote FULL STACK AI ENGINEER in Fife
✨Tip Number 1
Network like a pro! Reach out to folks in the sports tech and AI space on LinkedIn. Join relevant groups, attend virtual meetups, and don’t be shy about sliding into DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI/ML and full-stack development. Make sure to include links to any live demos or GitHub repos. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in sports tech. Practice coding challenges and be ready to discuss how you've integrated AI into your projects. Confidence is key, so own your expertise!
✨Tip Number 4
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 our team at PACETEQ. Don’t miss out on this opportunity to redefine sports tech with us!
We think you need these skills to ace Remote FULL STACK AI ENGINEER in Fife
Some tips for your application 🫡
Show Your Passion for AI and Sports:When you’re writing your application, let your enthusiasm for AI and sports shine through. We want to see how your skills can redefine the game and make a real impact in the sports tech world.
Tailor Your Experience:Make sure to highlight your relevant experience in full stack engineering and AI/ML. We’re looking for specific examples of projects where you’ve integrated these technologies, so don’t hold back!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so use simple language to explain your skills and experiences. Remember, we want to understand your journey without getting lost in jargon.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity with PACETEQ.
How to prepare for a job interview at Paceteq Gmbh
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially JavaScript, React, and AI/ML frameworks. Brush up on your knowledge of RESTful APIs and containerization with Docker, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've integrated AI/ML models or developed full-stack applications. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Sports Tech Landscape
Familiarise yourself with current trends in sports technology and how AI is being used to enhance performance and fan engagement. Showing that you’re passionate about the intersection of tech and sports can set you apart from other candidates.
✨Communicate Clearly and Confidently
Practice articulating your thoughts clearly, especially when discussing complex technical concepts. Good communication is key, especially since you’ll be working closely with cross-functional teams. Don’t hesitate to ask clarifying questions if you need more information during the interview.
