Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and development of next-gen AI systems in a fast-paced FinTech startup.
- 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 environment.
- Why this job: Make a real impact by architecting innovative ML solutions in finance.
- 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 Slough 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 Slough
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech and AI space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. 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 your Python skills and ML concepts. Practice coding challenges and system design questions that relate to building scalable ML systems. We recommend using platforms like LeetCode or HackerRank to get in the zone.
✨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. Let’s get you that dream job!
We think you need these skills to ace Senior Machine Learning Engineer in Slough
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 that demonstrate your skills in building production-grade ML systems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and FinTech, and how your background aligns with our mission at StudySmarter. Be sure to mention specific experiences that relate to the job description.
Showcase Your Projects: If you’ve worked on any interesting ML projects, make sure to include them in your application. Whether it’s a personal project or something from your previous job, we want to see how you’ve applied your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you’re keen on joining the StudySmarter 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 these in detail.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed and optimised ML systems. Think about challenges you've faced in previous roles, particularly in production environments, and how you overcame them. This will demonstrate your hands-on experience and ability to lead technical direction.
✨Understand the Business Context
Since this is a FinTech startup, it’s crucial to understand the financial landscape and how AI can impact it. Familiarise yourself with common financial data analysis tasks and be ready to discuss how your work can drive business value. This shows that you’re not just a techie but also a strategic thinker.
✨Be Ready to Mentor
As a Staff ML Engineer, mentoring is part of the role. Prepare to talk about your experience in guiding others and influencing technical standards. Share examples of how you've helped junior engineers grow or improved team practices, as this will highlight your leadership potential.