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- Tasks: Design and develop AI solutions for banking and payments workflows.
- Company: Join ScaleneWorks, a career architect connecting talent with top opportunities.
- Benefits: Hybrid work model, competitive salary, and professional growth.
- Why this job: Shape the future of fintech with cutting-edge AI technology.
- Qualifications: 7+ years in tech, 2+ years in AI engineering, strong Python skills.
- Other info: Collaborative environment with exciting projects and career advancement.
The predicted salary is between 48000 - 72000 £ per year.
At ScaleneWorks People Solutions, we are more than recruiters; we are career architects dedicated to connecting exceptional talent with top-tier opportunities. We are looking for an AI Engineer for our well-known client.
Location: London, UK
Type of Work: Hybrid (2-3 days from the office in a week)
Employment Type: FTE (Full Time Employment) or B2B
We are looking for an AI Engineer with experience building AI/ML solutions in fintech or financial services environments. The role will focus on designing and implementing agentic AI workflows and LLM-driven solutions that enhance banking and payments-related processes. This is a techno-functional role where the candidate will help design AI strategies, build prototypes and develop production-ready AI solutions that integrate with banking platforms and operational workflows.
Key Responsibilities:
- Design and develop AI-driven solutions for banking and payments workflows, including automation, decision support and intelligent process orchestration.
- Build and implement LLM-powered solutions, including conversational interfaces, document intelligence and workflow automation.
- Develop agentic AI workflows capable of executing multi-step banking or operational tasks.
- Work with structured and unstructured financial data to build machine learning models and AI pipelines.
- Integrate AI capabilities into existing systems using APIs and modern software architecture.
- Collaborate with domain teams (payments, banking operations, risk, etc.) to translate business use cases into AI solutions.
- Build production-grade AI systems, including model deployment, monitoring and lifecycle management.
- Support experimentation, rapid prototyping and scaling of AI solutions across the organization.
Requirements:
- 7+ years of total experience in technology across banking, with at least the last 2+ years in core AI engineering for banking/payments workflows.
- Strong programming expertise in Python.
- Experience building and deploying machine learning or deep learning models.
- Hands-on experience with LLMs and modern AI frameworks.
- Experience with transformer architectures and sequence modelling.
- Familiarity with LangChain, RAG (Retrieval Augmented Generation) and LLM application frameworks.
- Experience using PyTorch, TensorFlow or similar ML frameworks.
- Ability to design and implement AI workflows and AI-powered automation systems.
- Experience integrating AI solutions with enterprise systems and APIs.
- Familiarity with data pipelines, model deployment and production environments.
- Experience working with structured and unstructured datasets.
Domain Context:
- Exposure to banking, fintech or financial services environments preferred.
- Ability to understand financial workflows and operational processes.
Preferred Experience:
- Experience working in fintech startups or financial technology teams.
- Experience building AI-powered automation or intelligent workflow systems.
- Exposure to financial operations or banking platforms is required.
- Good to have strong Payments domain exposure (SWIFT, ISO 20022, Cards, Wire, ACH, Cross-border, Treasury flows) is good to have but not mandatory.
If you are ready to embark on an exciting journey with ScaleneWorks, we’d love to hear from you! Submit your resume today and let’s unlock new possibilities together.
AI Engineer employer: ScaleneWorks People Solutions LLP
Contact Detail:
ScaleneWorks People Solutions LLP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in AI or fintech. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects, especially those related to AI/ML in banking. Share your work on platforms like GitHub or LinkedIn to catch the eye of recruiters.
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding AI concepts. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re here to support you every step of the way!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience in fintech and any specific projects that showcase your skills in building AI/ML solutions. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in banking and how your expertise can contribute to our client's success. Keep it engaging and personal – we love to see your personality come through!
Showcase Relevant Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building LLM-powered solutions or integrating AI into existing systems, we want to know about your hands-on experience and the impact of your work.
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. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at ScaleneWorks People Solutions LLP
✨Know Your AI Stuff
Make sure you brush up on your AI and machine learning knowledge, especially in the context of banking and payments. Be ready to discuss specific projects you've worked on, particularly those involving LLMs and automation. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex problems in previous roles. Think of examples where you've designed AI workflows or integrated solutions into existing systems. This will demonstrate your ability to think critically and apply your skills effectively in real-world scenarios.
✨Familiarise Yourself with the Company
Do a bit of homework on ScaleneWorks and their client’s operations in the fintech space. Understanding their mission and values will help you tailor your responses and show genuine interest in the role. Plus, it’ll give you a chance to ask insightful questions during the interview.
✨Prepare for Technical Questions
Expect some technical questions related to Python programming, machine learning frameworks like PyTorch or TensorFlow, and AI integration techniques. Brush up on these topics and be ready to explain your thought process when solving technical challenges. This will highlight your expertise and confidence in the field.