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For Companies At a Glance
- Tasks: Build and deploy advanced machine learning models to revolutionise fintech.
- Company: Join a pioneering AI company in London, transforming financial services with innovation.
- Benefits: Enjoy hybrid work options and the chance to work on impactful projects.
- Why this job: Be part of a mission-driven team tackling real-world challenges in finance.
- Qualifications: 5+ years in ML/AI, strong Python skills, and cloud platform expertise required.
- Other info: Ideal for problem-solvers passionate about fintech and AI technology.
The predicted salary is between 48000 - 72000 £ per year.
Are you ready to disrupt the financial world with cutting-edge AI? Join forces with a trailblazing AI company based in London who are partnered closely with FinTech Clients, where innovation meets ambition. They are on a mission to redefine financial services, tackling real-world challenges like fraud detection, credit scoring, and predictive analytics through revolutionary machine learning solutions.
What You’ll Be Up To:
- Build, fine-tune, and deploy advanced machine learning models that drive real impact.
- Work hand-in-hand with cross-functional teams to craft transformative AI-driven solutions.
- Stay ahead of the curve, diving into the latest ML/AI trends to push the boundaries of fintech innovation.
What We’re Looking For:
- Experience: 5+ years in ML/AI, with a strong command of Python and frameworks like TensorFlow or PyTorch.
- Cloud Expertise: Proficiency in platforms such as AWS, GCP, or Azure.
- Fintech Enthusiast: Previous experience in fintech or insurance is a big plus.
- Problem-Solver Extraordinaire: Passionate about tackling challenges in a fast-moving, dynamic environment.
If you’re a Machine Learning Engineer eager to leave your mark on the future of financial and AI technology, please apply and we can have a further chat!
Machine Learning Engineer employer: 83data
Contact Detail:
83data Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network with professionals in the fintech and AI sectors. Attend industry meetups, webinars, or conferences to connect with potential colleagues and learn about the latest trends. This can help you gain insights into what companies like ours are looking for.
✨Tip Number 2
Showcase your projects on platforms like GitHub or Kaggle. Having a portfolio of your machine learning models and solutions can demonstrate your skills and passion for the field, making you stand out to us when we review candidates.
✨Tip Number 3
Stay updated on the latest advancements in machine learning and fintech. Follow relevant blogs, podcasts, and research papers to ensure you’re knowledgeable about current technologies and methodologies that could be beneficial in your role.
✨Tip Number 4
Prepare to discuss real-world applications of your work during interviews. Be ready to explain how your previous projects have solved specific problems, particularly in fintech, as this will show us your ability to apply your skills effectively.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and AI, particularly with Python and frameworks like TensorFlow or PyTorch. Emphasise any relevant projects or roles in fintech to align with the company's focus.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for fintech and your problem-solving skills. Mention specific examples of how you've tackled challenges in previous roles and how you can contribute to their mission of redefining financial services.
Highlight Cloud Expertise: If you have experience with cloud platforms like AWS, GCP, or Azure, make sure to include this in your application. Detail any projects where you've utilised these technologies to enhance machine learning models.
Showcase Continuous Learning: Mention any recent courses, certifications, or workshops related to machine learning or AI trends. This demonstrates your commitment to staying ahead in the field and your enthusiasm for innovation in fintech.
How to prepare for a job interview at 83data
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and frameworks like TensorFlow or PyTorch. Bring examples of projects you've worked on, especially those that demonstrate your ability to build and deploy machine learning models.
✨Demonstrate Your Cloud Knowledge
Since cloud expertise is crucial for this role, be ready to talk about your experience with platforms like AWS, GCP, or Azure. Highlight specific projects where you utilised these technologies to enhance machine learning solutions.
✨Express Your Passion for Fintech
If you have previous experience in fintech or insurance, make sure to mention it. Discuss how your background can contribute to solving real-world challenges in the financial sector, such as fraud detection or credit scoring.
✨Prepare for Problem-Solving Scenarios
Expect to face technical challenges during the interview. Practice explaining your thought process when tackling complex problems, and be ready to showcase your problem-solving skills in a fast-paced environment.
