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- Tasks: Build and deploy cutting-edge Machine Learning systems in the FinTech sector.
- Company: Join innovative Series A-C FinTech AI companies scaling their engineering teams.
- Benefits: Competitive salary of £90K-£120K, equity options, and flexible working arrangements.
- Other info: Hybrid or fully remote roles available; no CV needed for initial chat.
- Why this job: Make a real impact in AI for financial services with exciting projects.
- Qualifications: 5+ years in production ML systems and strong knowledge of modern AI tools.
The predicted salary is between 90000 - 120000 £ per year.
If you're a Senior Machine Learning Engineer working on production AI inside a FinTech, this isn't a job board post worth scrolling past. I'm working with several Series A-C FinTech AI companies hiring Senior ML Engineers and Senior AI Engineers across the UK right now. Not LLM wrappers - real production systems. Risk modelling, fraud detection, agentic compliance, transaction intelligence, retrieval-augmented generation pipelines running over financial data in regulated environments. Companies that have closed funding in the last twelve months and are scaling the engineering team that has to make AI actually work inside Financial Services.
Here's the technical bar (broadly):
- 5+ years building and shipping Machine Learning systems in production
- Strong on the modern AI stack - PyTorch, HuggingFace, LangChain, LangGraph, vector databases and RAG pipelines
- Comfortable owning a model end-to-end: data, training, evaluation, deployment and monitoring (MLOps / LLMOps)
- Bonus ball: exposure to regulated environments - FinTech, banking, payments, insurance
Packages £90K-£120K depending on experience, plus meaningful equity. London-based hybrid or fully remote for the right background (UK only though).
If that's you or you're 80% of the way there and curious about what's actually open in the FinTech AI hiring market right now, then drop me a message. Twenty minutes, no CV if you don't want to share one, just a chat with an actual human.
HorizonAI Talent: See Further. Hire Better.
Senior Machine Learning Engineer in London employer: HorizonAI Talent
Contact Detail:
HorizonAI Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the FinTech space and let them know you're on the lookout for Senior Machine Learning Engineer roles. A personal recommendation can go a long way in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving production AI systems. This will help you stand out and demonstrate your hands-on experience with the modern AI stack.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach by researching the companies you're interested in. Understand their products and challenges, and be ready to discuss how your expertise in risk modelling or fraud detection can add value.
✨Tip Number 4
Take advantage of our website! We have a range of exciting opportunities in the FinTech AI sector. Apply directly through us for a smoother process and to get noticed by hiring managers who are eager to find talent like you.
We think you need these skills to ace Senior Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application for the Senior Machine Learning Engineer role. Highlight your experience with production AI systems and the specific technologies mentioned in the job description, like PyTorch and RAG pipelines.
Showcase Your Impact: When detailing your past projects, focus on the impact you've made. Use metrics to demonstrate how your machine learning systems improved processes or outcomes, especially in regulated environments like FinTech.
Be Authentic: Let your personality shine through in your written application. We want to get a sense of who you are beyond your technical skills, so don’t hesitate to share your passion for AI and how it drives you.
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 without any hassle.
How to prepare for a job interview at HorizonAI Talent
✨Know Your Tech Stack
Make sure you’re well-versed in the modern AI stack mentioned in the job description. Brush up on your skills with PyTorch, HuggingFace, and LangChain. Be ready to discuss how you've used these tools in real production systems.
✨Showcase Your End-to-End Experience
Prepare to talk about your experience owning models from data collection to deployment. Highlight specific projects where you’ve managed the entire lifecycle, including monitoring and evaluation. This will demonstrate your capability in MLOps.
✨Understand the FinTech Landscape
Familiarise yourself with the challenges and regulations in the FinTech sector. Be prepared to discuss how your work can impact risk modelling, fraud detection, and compliance. Showing that you understand the industry will set you apart.
✨Be Ready for a Chat, Not Just an Interview
Since the hiring process is more conversational, approach it as a discussion rather than a formal interview. Prepare thoughtful questions about the company’s AI initiatives and culture. This will help you connect better with the interviewer.