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- Tasks: Lead the development of innovative machine learning systems in the FinTech sector.
- Company: Join a rapidly growing AI-driven FinTech company in central London.
- Benefits: Enjoy flexible hybrid working, competitive salary, and exciting projects.
- Other info: Join a dynamic team with significant funding and growth potential.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Strong skills in PyTorch, Python, AWS, and experience in Agentic AI.
The predicted salary is between 70000 - 90000 £ per year.
Tact is looking for an experienced AI / Machine Learning Engineer to lead the end-to-end lifecycle of machine learning systems for greenfield projects in the FinTech space. This role offers flexible, hybrid working from central London and involves shipping products to production.
Candidates should have a strong background in:
- PyTorch
- Python
- AWS
- Agentic AI
- Natural language processing
This is a unique opportunity to join a growing team backed by recent significant funding.
Senior ML Engineer - Hybrid London, AI-Driven FinTech employer: Tact
Contact Detail:
Tact Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer - Hybrid London, AI-Driven FinTech
✨Tip Number 1
Network like a pro! Reach out to folks in the FinTech space, especially those working with AI and machine learning. Attend meetups or webinars to connect with potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving PyTorch, Python, and AWS. This will give you an edge and demonstrate your hands-on experience to hiring managers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of Agentic AI and natural language processing. Practice coding challenges and system design questions to feel confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a better chance to stand out from the crowd.
We think you need these skills to ace Senior ML Engineer - Hybrid London, AI-Driven FinTech
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with PyTorch, Python, and AWS. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your background in AI and machine learning makes you a perfect fit for our team.
Showcase Your Projects: If you've worked on any greenfield projects or have experience with Agentic AI and natural language processing, make sure to mention them. We love seeing real-world applications of your skills!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Tact
✨Know Your Tech Inside Out
Make sure you brush up on your skills in PyTorch, Python, and AWS. Be ready to discuss specific projects where you've used these technologies, especially in the context of machine learning systems. This will show that you not only understand the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in previous roles, particularly with Agentic AI and natural language processing. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewer to follow your thought process.
✨Understand the FinTech Landscape
Familiarise yourself with current trends and challenges in the FinTech space. Being able to discuss how machine learning can solve specific problems in this industry will demonstrate your genuine interest and understanding of the role.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company's projects, team dynamics, or future goals. This not only shows your enthusiasm for the position but also helps you gauge if the company is the right fit for you.