Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop AI solutions for banking and payments, enhancing workflows and automation.
- Company: Join ScaleneWorks, a career architect connecting talent with top-tier opportunities.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of fintech with cutting-edge AI technology and impactful projects.
- Qualifications: 7+ years in tech, with 2+ years in AI engineering for banking or payments.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 70000 - 90000 £ per year.
At ScaleneWorks People Solutions, we're more than recruiters; we're career architects dedicated to connecting exceptional talent with top-tier opportunities. Backed by industry experts, we prioritise relationships, offer global opportunities, and champion your success every step of the way. Ready to shape your future? Explore opportunities with us today.
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 organisation.
Requirements:
- 7+ years of total experience in technology across banking, of which at least the last 2+ years have to be 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.
AI Engineering / Platform:
- 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're 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.
Senior AI Engineer in London employer: ScaleneWorks People Solutions LLP
Contact Detail:
ScaleneWorks People Solutions LLP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech and AI space. Attend industry meetups or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to banking and payments. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with LLMs and AI workflows, and think of examples that highlight your impact in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We’re all about connecting talent with top-tier opportunities, so make sure your application stands out. Tailor your CV and cover letter to reflect your passion for AI in the financial sector.
We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience in AI/ML solutions, especially in fintech or financial services. We want to see how your skills align with the job description!
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 background makes you a perfect fit for the role. Let us know what excites you about working with us!
Showcase Relevant Projects: If you've worked on any projects related to AI workflows or LLM-driven solutions, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us. Let’s get started on this journey together!
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 fintech. Be ready to discuss specific projects you've worked on, particularly those involving LLMs and automation systems.
✨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, and be ready to explain your thought process.
✨Understand the Business Context
Familiarise yourself with the financial services landscape, especially the workflows and operational processes. This will help you translate technical jargon into business value during the interview, showing that you can bridge the gap between tech and finance.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's AI strategy and how they envision the role contributing to their goals. This shows your genuine interest in the position and helps you assess if it's the right fit for you.