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- Tasks: Design and scale AI systems to revolutionise compliance and risk workflows.
- Company: Innovative fintech company transforming fraud detection and business onboarding.
- Benefits: Competitive salary, equity options, hybrid work, and growth opportunities.
- Why this job: Join a pioneering team and make a real impact in the financial sector.
- Qualifications: Experience in AI systems, strong backend skills, and a passion for problem-solving.
- Other info: Fast-paced environment with ownership-driven culture and career advancement potential.
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 Slough employer: Impala Search
Contact Detail:
Impala Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI/ML Engineer in Slough
✨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, especially those that demonstrate your ability to solve real-world problems. We want to see your hands-on experience and how you’ve tackled challenges in production environments.
✨Tip Number 3
Prepare for interviews by understanding the company’s mission and how your skills align with their goals. We recommend practising common technical questions and being ready to discuss your past experiences in detail. It’s all about showing you’re the perfect fit!
✨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 and engaged with our platform.
We think you need these skills to ace AI/ML Engineer in Slough
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 relevant projects, whether personal or professional, make sure to include them. We love seeing practical applications of your skills, especially those involving language models and cloud-based architectures.
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 on joining 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 prepared 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
Since the role involves operating in ambiguous problem spaces, think of examples where you've tackled complex challenges. Prepare to explain your thought process and the technical trade-offs you made, demonstrating your ability to navigate uncertainty effectively.
✨Understand the User's Perspective
Empathy for users is key in this role. Research the common compliance challenges faced by financial institutions and be ready to discuss how your work can address these issues. Showing that you can translate user needs into product improvements will set you apart.
✨Be Ready to Discuss Infrastructure
Familiarise yourself with modern cloud-based architectures and be prepared to talk about how you've built reliable infrastructure for AI systems. Highlight any experience you have with language models and how they can be effectively used in enterprise settings.
