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- Tasks: Develop and launch AI features for personal finance across digital platforms.
- Company: Join a well-funded, innovative company focused on personal wellbeing and data intelligence.
- Benefits: Flexible hybrid work, competitive salary, and opportunities for creativity and impact.
- Why this job: Shape the future of AI in personal finance and make a real difference.
- Qualifications: Experience in applied AI, strong Python skills, and familiarity with ML libraries.
- Other info: Collaborative team environment with excellent growth potential.
The predicted salary is between 36000 - 60000 ÂŁ per year.
This is an opportunity to join a growing product‑led business working at the intersection of personal wellbeing, digital services, and data intelligence. The team is scaling rapidly and building out its AI capability to power a range of intelligent user experiences across web and mobile platforms. The company is well‑funded and values creativity, autonomy, and impact. You’ll work in a small team where applied AI will directly shape future products and define how technology supports users across a range of meaningful, everyday personal finance decisions.
What You’ll Be Doing
- Develop and launch intelligent features that support personalisation, automation, and user guidance across digital platforms.
- Build and deploy machine learning workflows and LLM‑powered tools, such as recommendation systems, AI‑driven assistants, and data enrichment layers.
- Prototype and iterate on experimental applications using modern AI tooling, including LLM orchestration frameworks, vector search, and prompt engineering techniques.
- Work with backend and infrastructure engineers to support training pipelines, inference workflows, and scalable model deployment in a cloud‑native environment.
- Explore integration of third‑party data or tools into AI‑driven services using custom APIs and automation endpoints.
- Contribute to internal frameworks for evaluating performance, safety, and accuracy of AI features, including prompt variation and output consistency.
- Collaborate closely with product and engineering teams to translate abstract ideas into well‑scoped AI applications with measurable value.
- Play an active role in raising engineering standards around model integration, quality assurance, and responsible development practices.
What They’re Looking For
- Hands‑on experience delivering applied AI features or machine learning models in a live product setting.
- Strong Python development skills and familiarity with ML/AI libraries such as PyTorch, Hugging Face, LangChain, or TensorFlow.
- Experience working with LLM‑based systems, including structured generation, retrieval‑augmented generation, and embedding‑based approaches.
- Understanding of model testing and validation workflows, including prompt evaluation, fine‑tuning, or A/B testing techniques.
- Familiarity with API development and model integration into live services or applications.
- Comfortable working with cloud services (Azure, GCP, or AWS) and tools that support reproducibility and scaling.
- Good collaboration skills and an interest in shaping AI capability within a growing product team.
- A practical approach to balancing experimentation with technical robustness and user impact.
If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
AI Engineer employer: Xcede
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, GitHub contributions, or any relevant work. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common AI-related questions and coding challenges. Mock interviews with friends or using online platforms can help you feel more confident and ready to impress.
✨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, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience with applied AI features and machine learning models. We want to see how your skills align with the role, so don’t be shy about showcasing your Python development prowess and familiarity with ML libraries!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to our growing team. We love creativity, so let your personality come through while keeping it professional.
Showcase Relevant Projects: If you've worked on any projects involving LLM-based systems or cloud services, make sure to mention them! We’re keen to see examples of your work that demonstrate your ability to build and deploy intelligent features.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get you in front of the right people quickly!
How to prepare for a job interview at Xcede
✨Know Your AI Stuff
Make sure you brush up on your knowledge of machine learning models and AI features. Be ready to discuss your hands-on experience with tools like PyTorch or TensorFlow, and have examples of how you've applied these in real-world settings.
✨Showcase Your Python Skills
Since strong Python development skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges that involve ML libraries and APIs.
✨Understand the Company’s Vision
Research the company’s focus on personal wellbeing and digital services. Be prepared to discuss how your work can contribute to their mission and how you can help shape AI capabilities that impact users' everyday financial decisions.
✨Collaboration is Key
Highlight your teamwork skills and experiences. Since you'll be working closely with product and engineering teams, share examples of how you've successfully collaborated in the past to bring AI applications to life.
