Senior ML Engineer – FinTech AI in Production (Remote)
Senior ML Engineer – FinTech AI in Production (Remote)

Senior ML Engineer – FinTech AI in Production (Remote)

Full-Time 90000 - 120000 £ / year (est.) Home office (partial)
HorizonAI Talent

At a Glance

  • Tasks: Design and implement cutting-edge machine learning systems in the financial services sector.
  • Company: HorizonAI Talent, a leader in FinTech AI innovation.
  • Benefits: Competitive salary, equity options, and flexible remote work.
  • Other info: Hybrid or fully remote options available for UK candidates.
  • Why this job: Join a dynamic team and shape the future of finance with AI.
  • Qualifications: 5+ years in machine learning and expertise in PyTorch and HuggingFace.

The predicted salary is between 90000 - 120000 £ per year.

HorizonAI Talent is seeking Senior ML Engineers to design and implement machine learning systems within the financial services sector. The ideal candidate will have over 5 years of experience in machine learning, proficiency in the modern AI stack including PyTorch and HuggingFace, and the ability to manage projects from data gathering to model deployment.

Competitive packages between £90K-£120K are offered, along with equity. This role can be hybrid or fully remote for candidates based in the UK.

Senior ML Engineer – FinTech AI in Production (Remote) employer: HorizonAI Talent

HorizonAI Talent is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving FinTech sector. With competitive salaries, equity options, and the flexibility of hybrid or fully remote work arrangements, employees are empowered to thrive while enjoying ample opportunities for professional growth and development in cutting-edge machine learning technologies.
HorizonAI Talent

Contact Detail:

HorizonAI Talent Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior ML Engineer – FinTech AI in Production (Remote)

Tip Number 1

Network like a pro! Reach out to fellow ML engineers and industry professionals on LinkedIn. Join relevant groups and participate in discussions to get your name out there.

Tip Number 2

Showcase your skills! Create a portfolio of your projects, especially those involving PyTorch and HuggingFace. This will give potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML scenarios and be ready to discuss your past projects in detail.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.

We think you need these skills to ace Senior ML Engineer – FinTech AI in Production (Remote)

Machine Learning
PyTorch
HuggingFace
Project Management
Data Gathering
Model Deployment
Financial Services Knowledge
AI Stack Proficiency

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in machine learning and the AI stack. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your projects and achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about FinTech and how your background makes you a perfect fit for our team. We love hearing personal stories that connect your experience to the role.

Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. We’re keen to see your hands-on experience with tools like PyTorch and HuggingFace, so don’t hold back on the details!

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’s super easy – just a few clicks and you’re done!

How to prepare for a job interview at HorizonAI Talent

Know Your ML Stuff

Make sure you brush up on your machine learning knowledge, especially around the tools mentioned in the job description like PyTorch and HuggingFace. Be ready to discuss your past projects and how you've applied these technologies in real-world scenarios.

Showcase Your Project Management Skills

Since this role involves managing projects from data gathering to model deployment, prepare examples that highlight your project management experience. Talk about how you’ve led teams, tackled challenges, and ensured successful outcomes in your previous roles.

Understand the FinTech Landscape

Familiarise yourself with the financial services sector and current trends in FinTech. Being able to discuss how machine learning can solve specific problems in finance will show your genuine interest and understanding of the industry.

Prepare Questions for Them

Interviews are a two-way street! Prepare insightful questions about their current projects, team dynamics, and company culture. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.

Senior ML Engineer – FinTech AI in Production (Remote)
HorizonAI Talent

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