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- Tasks: Design and scale AI systems to automate compliance workflows for financial institutions.
- Company: Innovative fintech company transforming fraud detection and risk assessment.
- Benefits: Competitive salary, equity options, hybrid work model, and growth opportunities.
- Why this job: Join a pioneering team and make a real impact in the fight against financial crime.
- Qualifications: Experience in AI systems, strong backend skills, and a passion for solving user problems.
- Other info: Fast-paced environment with ownership-driven culture and potential for career advancement.
The predicted salary is between 72000 - 108000 £ per year.
Our client is building AI systems that fundamentally change how financial institutions fight fraud and assess business risk. Their platform replaces slow, manual due diligence with intelligent agents that transform messy, unstructured data into clear decisions for compliance teams worldwide. Founded by engineers who have previously built fraud and credit risk systems safeguarding billions in transactions, the team is now scaling this expertise to help fintechs and banks detect risk faster, onboard legitimate businesses more smoothly, and reduce financial crime at a global level.
About the Role
You’ll join as a Founding AI Engineer, designing and scaling production-grade LLM systems that power automated due diligence workflows used by financial institutions operating across multiple regions.
Key Responsibilities
- Design and evolve core AI agent frameworks used to automate complex compliance and risk workflows
- Build reliable infrastructure that enables language models to reason over diverse data sources and internal tools
- Ship production-ready AI features, from experimentation through deployment and iteration
- Partner closely with customers to deeply understand real-world compliance challenges and translate them into product improvements
- Take ownership of end-to-end outcomes, from technical decisions to user impact
- Contribute to shaping engineering standards, architecture, and long-term technical direction in a fast-growing environment
Qualifications
- Strong hands-on experience building and deploying AI-driven systems in production environments
- Deep interest in applied language models and how they can be safely and effectively used in enterprise settings
- Solid backend engineering skills, with comfort working across modern cloud-based architectures
- Ability to operate in ambiguous problem spaces and make sound technical trade-offs
- High empathy for users and a genuine interest in solving operational problems alongside customers
- Mindset aligned with early-stage teams; ownership-driven, pragmatic, and comfortable moving fast
If you’re excited about building AI systems that help financial institutions stop fraud, streamline compliance, and make global business onboarding safer and faster, this is a chance to shape both the product and the company from day one.
AI/ML Engineer in London employer: Impala Search
Contact Detail:
Impala Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it's GitHub repos or personal projects, we want to see what you can do. This is your chance to shine and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for those interviews! Research common AI/ML interview questions and practice your answers. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
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. Don’t hesitate, get your application in!
We think you need these skills to ace AI/ML Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI/ML Engineer role. Highlight your hands-on experience with AI-driven systems and any relevant projects you've worked on. We want to see how you can contribute to our mission!
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 background makes you a great fit for our team. Don’t forget to mention your interest in solving real-world compliance challenges.
Showcase Your Projects: If you've worked on any AI or ML projects, make sure to include them in your application. Whether it's a personal project or something from a previous job, we love seeing practical examples of your work and how you tackle complex problems.
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 us you’re keen to join our team!
How to prepare for a job interview at Impala Search
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI and ML concepts, especially those relevant to financial applications. Be ready to discuss your hands-on experience with building and deploying AI-driven systems, as well as any specific projects you've worked on that relate to compliance and risk.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled ambiguous problems in the past. Think of examples where you made sound technical trade-offs or designed solutions that had a real impact. This role requires a mindset aligned with early-stage teams, so demonstrate your ownership-driven approach.
✨Understand the User's Perspective
Since empathy for users is crucial, be ready to discuss how you've partnered with customers to understand their challenges. Share instances where you translated user needs into product improvements, especially in compliance and risk workflows.
✨Familiarise Yourself with Cloud Architectures
Given the emphasis on modern cloud-based architectures, make sure you can speak confidently about your backend engineering skills. Highlight any experience you have with building reliable infrastructure for language models and how it relates to diverse data sources.
