Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and development of cutting-edge AI systems in a dynamic FinTech startup.
- Company: High-growth FinTech startup focused on innovative AI products.
- Benefits: Competitive salary up to £150K, equity, and hybrid work options.
- Other info: Opportunity to mentor and influence technical standards in a collaborative environment.
- Why this job: Shape the future of finance with advanced machine learning technologies.
- Qualifications: 6+ years in ML, strong Python skills, and experience with LLMs or NLP.
The predicted salary is between 150000 - 150000 £ per year.
A high-growth FinTech startup is building greenfield AI products from the ground up and looking to hire a Staff ML Engineer to lead the architecture and development of next-generation intelligent systems. This is not a traditional modelling role. Instead of focusing on a single predictive model, you’ll be designing and scaling systems of models that can:
- Search and retrieve relevant information
- Analyse complex financial data
- Generate outputs such as reports and credit memos
- Validate, verify, and improve model outputs in production
As a Staff ML Engineer, you’ll take ownership of designing and optimising these systems by combining:
- Large Language Models (LLMs)
- Classical machine learning
- Rule-based systems
- Workflow orchestration / agentic architectures
What you’ll be doing:
- Leading technical direction for ML and AI systems across the business
- Architecting production-grade LLM applications, RAG pipelines, and evaluation frameworks
- Driving best practices across experimentation, deployment, and monitoring
- Partnering with engineering, product, and leadership to shape AI strategy
- Mentoring engineers and influencing technical standards across teams
What we’re looking for:
- 6+ years in Machine Learning, Applied AI, or Data Science
- Strong Python skills and experience with frameworks such as PyTorch and scikit-learn
- Deep experience in either Classical ML, NLP, or LLM-powered systems
- Experience building and deploying production ML systems at scale
- Strong understanding of data pipelines, model deployment, and working with messy real-world datasets
- Background in Financial Services or highly regulated environments is a plus
Senior Machine Learning Engineer employer: Tiro Partners Limited
Contact Detail:
Tiro Partners Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the FinTech and AI space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational chats. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or NLP. Share your GitHub link during interviews or networking events. It’s a great way to demonstrate your expertise beyond just words.
✨Tip Number 3
Prepare for technical interviews by brushing up on system design and ML concepts. Practice explaining your thought process clearly and concisely. Mock interviews with friends or using online platforms can really help you nail it!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with production ML systems and financial data analysis to stand out from the crowd.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Machine Learning Engineer. Highlight your experience with LLMs, NLP, and Python, and don’t forget to showcase any relevant projects or achievements that align with our needs.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in FinTech and how your skills can help us build next-generation intelligent systems. Keep it engaging and personal!
Showcase Your Technical Skills: We want to see your technical prowess! Include specific examples of your work with machine learning frameworks like PyTorch and scikit-learn. If you've built production ML systems, share those experiences to demonstrate your expertise.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Tiro Partners Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and frameworks like PyTorch and scikit-learn. Brush up on your knowledge of LLMs, NLP, and classical machine learning techniques, as you’ll likely be asked to discuss how you’ve applied these in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around designing and scaling ML systems. Think about examples where you’ve had to analyse complex data or improve model outputs in production, and be ready to explain your thought process and the impact of your solutions.
✨Understand the Business Context
Since this role is in a FinTech startup, it’s crucial to understand the financial landscape and how AI can drive value in that space. Familiarise yourself with current trends in FinTech and be prepared to discuss how your work can align with the company’s goals and strategy.
✨Be Ready to Lead and Mentor
As a Staff ML Engineer, you’ll be expected to take ownership and guide others. Think about your leadership style and prepare examples of how you’ve mentored engineers or influenced technical standards in past roles. This will show that you’re not just a tech whiz but also a team player who can elevate those around you.