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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: Opportunity for career growth in a dynamic and supportive environment.
- Why this job: Make a real impact with AI in financial services and work on 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 City of 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 City of 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 give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each company. Research their tech stack and mention how your experience with PyTorch or RAG pipelines aligns with their needs. It shows you’re genuinely interested.
✨Tip Number 4
Take advantage of our website! We’ve got loads of opportunities in the FinTech AI sector. Apply directly through us for a better chance of getting 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 City of London
Some tips for your application 🫡
Show Off Your Experience: When you're writing your application, make sure to highlight your 5+ years of experience in building and shipping Machine Learning systems. We want to see how you've tackled real production challenges, especially in FinTech or similar regulated environments.
Get Technical: Don’t shy away from diving into the technical details! Mention your familiarity with the modern AI stack like PyTorch, HuggingFace, and RAG pipelines. We love seeing candidates who can own a model end-to-end, so let us know about your MLOps or LLMOps experience.
Tailor Your Application: Make your application stand out by tailoring it to the job description. Use keywords from the posting and relate your skills directly to what we’re looking for. This shows us you’ve done your homework and are genuinely interested in the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any updates. Plus, it’s super easy!
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.