At a Glance
- Tasks: Design and deliver AI-powered systems while collaborating with experienced engineers and data scientists.
- Company: Join a remote-first company with a collaborative culture focused on learning and excellence.
- Benefits: Enjoy flexibility, competitive salary, and clear progression pathways into senior roles.
- Other info: Embrace a dynamic environment with opportunities for continuous improvement and knowledge sharing.
- Why this job: Make a real impact by working on meaningful AI projects across various industries.
- Qualifications: 2-5 years in software engineering or AI, with strong problem-solving and programming skills.
The predicted salary is between 45000 - 55000 £ per year.
We’re looking for an Applied AI Engineer to support the design and delivery of AI-powered systems for our clients. You’ll work alongside experienced engineers, data scientists and delivery teams to help build, test and deploy intelligent applications, while developing your technical depth in modern AI engineering practices. This role is ideal for someone who combines AI/ML expertise with practical problem-solving skills and the ability to translate concepts into real-world applications.
Key responsibilities:
- Support the design, build and deployment of applied AI systems.
- Contribute to backend services, APIs and application components that integrate AI capabilities into production systems.
- Assist in experimentation, prototyping and testing of ML and Generative AI solutions.
- Write clean, maintainable, well-tested code following established engineering standards.
- Participate in code reviews and technical discussions to continuously improve engineering quality.
- Help implement monitoring, evaluation and performance tracking for AI-enabled systems.
- Collaborate with data scientists, product managers and client stakeholders to understand requirements and translate them into working solutions.
- Contribute to internal knowledge sharing and capability development as you grow.
Key skills:
- 2 - 5 years experience in a software engineering, machine learning or AI-related role.
- Solid foundation in software engineering principles and problem-solving.
- Experience programming in at least one language (Python preferred).
- Strong understanding of ML concepts and familiarity with AI/ML tooling or frameworks.
- Exposure to cloud platforms (AWS, Azure or GCP).
- Strong willingness to learn and take feedback constructively.
- Clear communication skills and ability to work effectively in a team environment.
Company benefits:
- Remote-first working with flexibility around client needs.
- Opportunity to work on meaningful AI projects across multiple industries.
- A collaborative culture focused on learning, excellence and continuous improvement.
- Competitive salary with clear progression pathways into senior engineering roles.
Applied AI Engineer in London employer: Colibri Digital
As an Applied AI Engineer with us, you'll thrive in a remote-first environment that prioritises flexibility and collaboration. Our culture is centred around continuous learning and excellence, offering you the chance to work on impactful AI projects across diverse industries while enjoying competitive salaries and clear pathways for career progression into senior roles.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML space, attend meetups or webinars, and don’t be shy about sharing your passion for applied AI. You never know who might have a lead on that perfect job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI systems or ML solutions. This is your chance to demonstrate how you can translate concepts into real-world applications.
✨Tip Number 3
Prepare for interviews by brushing up on your coding skills and understanding of AI principles. Practice common technical questions and be ready to discuss your past experiences with AI projects. We want to see your problem-solving skills in action!
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Applied AI Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in software engineering and AI/ML. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your problem-solving skills can contribute to our team. Keep it engaging and personal – we love getting to know our applicants!
Showcase Your Projects:If you’ve got any cool projects or contributions to open-source AI tools, make sure to mention them! We’re keen on seeing practical applications of your skills, so include links or descriptions that highlight your hands-on experience.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Colibri Digital
✨Know Your AI Stuff
Make sure you brush up on your AI and ML concepts before the interview. Be ready to discuss how you've applied these in real-world scenarios, especially in building and deploying AI systems. This will show that you can translate theory into practice.
✨Showcase Your Coding Skills
Since coding is a big part of this role, be prepared to demonstrate your programming skills, particularly in Python. You might be asked to solve a problem on the spot, so practice writing clean, maintainable code and be ready to explain your thought process.
✨Collaborate Like a Pro
This job involves working closely with various teams, so highlight your teamwork experience. Share examples of how you've collaborated with data scientists or product managers in the past, and how you effectively communicated technical concepts to non-technical stakeholders.
✨Be Open to Feedback
A strong willingness to learn and take feedback constructively is key. During the interview, express your eagerness to grow and improve. Discuss how you've used feedback in the past to enhance your skills or project outcomes, showing that you're committed to continuous improvement.
