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- Tasks: Lead the design and development of next-gen AI systems in a fast-paced FinTech environment.
- Company: Join a high-growth FinTech startup revolutionising AI products.
- Benefits: Competitive salary up to £150K, equity, and hybrid work options.
- Other info: Opportunity to mentor and shape AI strategy in a dynamic team.
- Why this job: Make a real impact by architecting innovative ML solutions that transform financial data.
- 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 in London 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 in London
✨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 when you apply through our website. It’s a great way to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and ML concepts. Practice coding challenges and system design questions that relate to building scalable ML systems. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds. Plus, it’s a chance to reiterate why you’re the perfect fit for the team!
We think you need these skills to ace Senior Machine Learning Engineer in London
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 systems, especially in production environments. Mention any frameworks you’ve used, like PyTorch or scikit-learn, 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 the role. Plus, it shows you’re keen on joining our team!
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 building and deploying production ML systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your ability to analyse complex data and generate actionable insights.
✨Demonstrate Leadership and Collaboration
As a Staff ML Engineer, you’ll need to lead technical direction and mentor others. Be ready to share examples of how you’ve influenced technical standards or collaborated with cross-functional teams. This will show that you can not only drive projects but also foster a positive team environment.
✨Understand the FinTech Landscape
Familiarise yourself with the financial services sector and any regulatory considerations that might impact AI and ML applications. Being able to discuss how your work can align with industry standards and improve business outcomes will set you apart from other candidates.