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- Tasks: Design and scale AI systems to combat fraud and streamline compliance for financial institutions.
- Company: Innovative fintech company transforming the way businesses assess risk.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- 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 significant career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
About the job
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.
Role Overview:
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.
Visa sponsorship is not supported for this role.
AI/ML Engineer in England employer: Impala Search
Contact Detail:
Impala Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer in England
✨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 or contributions to open-source. We want to see what you can do, so make sure your work is easily accessible and highlights your best achievements.
✨Tip Number 3
Prepare for those interviews! Research common questions for AI/ML roles and practice your answers. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your experience and technical knowledge.
✨Tip Number 4
Apply through our website! We’re always on the lookout for passionate individuals who want to make a difference in the fintech space. By applying directly, you’ll ensure your application gets the attention it deserves from our hiring team.
We think you need these skills to ace AI/ML Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI-driven systems and backend engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI and compliance, and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled ambiguous problems in the past. We love candidates who can think on their feet and make sound technical decisions under pressure.
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 this exciting opportunity to shape our product from day one!
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 how you've built and deployed AI-driven systems in production environments, as this will show your hands-on experience.
✨Understand the Compliance Landscape
Familiarise yourself with the compliance challenges faced by financial institutions. This will help you demonstrate empathy for users and show that you can translate real-world problems into effective AI solutions during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've operated in ambiguous problem spaces. Highlight how you made sound technical trade-offs and the impact of your decisions on user outcomes. This will illustrate your ownership-driven mindset.
✨Be Ready to Collaborate
Since the role involves partnering closely with customers, think of instances where you've worked collaboratively to solve operational problems. Emphasise your ability to communicate effectively and adapt to feedback, which is crucial in a fast-growing environment.
