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- Tasks: Lead hands-on AI projects and ship products to production in FinTech.
- Company: Exciting FinTech startup with £10 million in Series B funding.
- Benefits: Flexible hybrid working, competitive salary, and growth opportunities.
- Other info: Be part of a dynamic environment with significant career advancement.
- Why this job: Join a growing AI team and shape the future of technology.
- Qualifications: Experience with PyTorch, Python, and machine learning ecosystems.
The predicted salary is between 80000 - 100000 £ per year.
Want to be hands-on with AI, working on greenfield projects for a growing business in the FinTech space? This won't be just a research role, you'll ship products to production. You'll own the end-to-end lifecycle of ML systems (they have a focus on agents at the moment). I'm looking for an experienced AI / Machine Learning Engineer to join a growing business who are going more AI-focused. The business has recently secured £10 million in Series B funding and are showing no signs of slowing down. You'll feel the AI team grow around you and have a say in the direction they move in.
What’s in it for you?
- Flexible, hybrid working from central London
- And much more
What do we need from you?
- PyTorch
- Python
- Understanding of the machine learning ecosystem
- AWS
- Agentic AI
- Experience with LLMs, NLPs, MCP Servers
Eligibility
Please note, only UK-based candidates will be considered.
Lead ML Engineer employer: Tact
Contact Detail:
Tact Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech and AI space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving PyTorch and machine learning. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of LLMs and NLPs. Be ready to discuss how you've applied these technologies in real-world scenarios.
✨Tip Number 4
Don't forget to apply through our website! We want to see your application and help you land that Lead ML Engineer role. It's a great way to get noticed!
We think you need these skills to ace Lead ML Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with PyTorch, Python, and the machine learning ecosystem. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about working in the FinTech space and how you can contribute to our AI team. Be genuine and let your passion for AI come through.
Showcase Your Projects: If you've worked on any greenfield projects or have experience with LLMs, NLPs, or agentic AI, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions of your work!
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. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Tact
✨Know Your Tech Inside Out
Make sure you’re well-versed in PyTorch and Python, as these are crucial for the role. Brush up on your understanding of the machine learning ecosystem, especially around agentic AI and LLMs, so you can confidently discuss your experience and how it relates to their projects.
✨Showcase Your Hands-On Experience
Since this role involves shipping products to production, be ready to share specific examples of your past projects. Highlight your end-to-end experience with ML systems and any greenfield projects you've worked on, as this will demonstrate your capability to contribute from day one.
✨Understand Their Business
Research the company’s recent funding and their focus on AI in the FinTech space. Being able to discuss how your skills align with their goals will show that you’re genuinely interested in the position and understand the industry landscape.
✨Prepare Questions That Matter
Think of insightful questions to ask about the team’s direction and the projects they’re working on. This not only shows your enthusiasm but also helps you gauge if the company culture and vision align with your career aspirations.