At a Glance
- Tasks: Design and build AI-driven web applications while collaborating with a dynamic team.
- Company: Join Funding Circle, a fintech leader supporting UK small businesses.
- Benefits: Enjoy flexible benefits, health perks, and a dedicated learning allowance.
- Other info: Hybrid work model with excellent career growth opportunities.
- Why this job: Make a real impact in AI and shape the future of funding solutions.
- Qualifications: Experience in full-stack development and a passion for AI/ML technologies.
The predicted salary is between 60000 - 80000 £ per year.
About the company
We’re on a mission to support the UK’s small businesses by providing rapid funding solutions. Funding Circle blends fintech start‑up agility with public company stability, empowering teams to take ownership and make an impact.
Location & Compensation
London (Hybrid) – 2 days in the office. Competitive salary and benefits.
Role Overview
Data is core to our mission at Funding Circle. We are building a data‑driven culture and a world‑class data platform. The AI and Machine Learning team leads the integration of AI into our products. We need an AI Engineer to bridge AI systems and user‑facing applications.
Key Responsibilities
- Design, build, and maintain full‑stack web applications, including front‑end development, serverless or containerised back‑ends, APIs, and database storage, using technologies suited to GenAI.
- Own flagship GenAI products—e.g., Customer Profile—to reduce time‑to‑value and iterate rapidly based on user feedback.
- Collaborate directly with AI/ML engineers, data scientists, product engineers, and product managers in a rapid experimentation environment.
- Take responsibility for full‑lifecycle ownership: design, development, production support, maintenance, and on‑call duties.
- Help evolve our cross‑functional operating model, establishing robust, repeatable processes and best practices for building end‑to‑end AI applications.
Qualifications
- Proven expertise in building, testing, and deploying modern full‑stack web applications, with strong skills in front‑end frameworks (e.g., React) and back‑ends (e.g., Python, serverless or containerised applications, APIs), and database storage.
- Product‑focused mindset with experience taking applications from concept to production, including maintenance and on‑call responsibilities.
- Experience with cloud platforms and infrastructure concepts such as CI/CD, containerisation, serverless, needed to build scalable and reliable applications.
- Excellent ability to work effectively in cross‑functional teams, translating complex technical ideas and user feedback into product features.
- Strong analytical and troubleshooting skills, comfortable with ambiguity and driving initiatives forward.
- Hands‑on experience or strong interest in AI/ML technologies such as LLM‑based applications, RAG, or agent frameworks.
- Knowledge of event‑driven systems (e.g., Kafka) is a plus; willingness to learn is required.
Benefits
- Flexibility – benefit allowance tailored to your life.
- Health – private medical and dental, health assessments, digital GP.
- Wealth – life assurance, share schemes, financial coaching.
- Development – dedicated annual learning allowance.
- Lifestyle – electric car and cycle‑to‑work schemes, season ticket loans.
- Award‑winning parental leave policies.
Equal Opportunity
Funding Circle is an equal opportunity employer. We celebrate diversity and welcome candidates from all backgrounds.
AI Engineer employer: Funding Circle UK
At Funding Circle, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the heart of London. Our hybrid work model fosters a flexible environment where AI Engineers can thrive, supported by competitive salaries, comprehensive health benefits, and a strong commitment to professional development. Join us to make a meaningful impact on the UK’s small businesses while enjoying a vibrant work culture that values diversity and encourages personal growth.
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We think this is how you could land AI Engineer
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We think you need these skills to ace AI Engineer
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!
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How to prepare for a job interview at Funding Circle UK
✨Brush Up on Your Statistics
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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!
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✨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.
