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- Tasks: Develop AI solutions and workflows for financial services using cutting-edge technologies.
- Company: Leading Point, a global leader in Data Management and AI solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI in finance.
- Qualifications: 5+ years in financial services with strong AI engineering skills.
- Other info: Exciting projects with global impact and career advancement opportunities.
The predicted salary is between 48000 - 72000 £ per year.
Leading Point is a specialist Data Management, Risk and AI solutions company based in London, Dubai, and New York. We deliver on complex risk management, foundational data capabilities, data products and AI solution mandates for global banks, asset and wealth managers, insurers and PE/VC.
This is a full-time hybrid role for a Financial Services focused AI Engineer at Leading Point. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing on a day-to-day basis.
- Pattern Recognition and Neural Networks skills
- Computer Science and Software Development skills
- Natural Language Processing (NLP) skills
- Essential financial services experience (minimum 5 years) and hands-on AI engineering life cycle experience
- Bachelor's degree in Computer Science, Engineering, or related field
Financial Services AI Engineer in England employer: Leading Point
Contact Detail:
Leading Point Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Services AI Engineer in England
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services and AI sectors on LinkedIn. Join relevant groups, attend webinars, 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 related to pattern recognition, MLOps, and NLP. This is your chance to demonstrate your hands-on experience and make a lasting impression on potential employers.
✨Tip Number 3
Tailor your approach! When you find a role that excites you, customise your pitch to highlight how your experience aligns with their needs. Use specific examples from your past work to illustrate your expertise in AI engineering within financial services.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s make it happen!
We think you need these skills to ace Financial Services AI Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Financial Services AI Engineer role. Highlight your experience with pattern recognition, neural networks, and NLP, as well as any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in financial services and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects: If you've worked on any interesting AI projects, make sure to mention them in your application. Whether it's a personal project or something from your previous job, we want to see your hands-on experience and creativity in action!
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 us you’re keen to join our team at Leading Point!
How to prepare for a job interview at Leading Point
✨Know Your AI Stuff
Make sure you brush up on your knowledge of pattern recognition, neural networks, and natural language processing. Be ready to discuss specific projects you've worked on that showcase these skills, as well as any challenges you faced and how you overcame them.
✨Showcase Financial Services Experience
Since the role requires at least five years in financial services, prepare examples that highlight your experience in this sector. Think about how your AI solutions have impacted risk management or data capabilities in previous roles, and be ready to share those stories.
✨Demonstrate MLOps Knowledge
MLOps is a key part of the job, so be prepared to talk about your experience with deploying machine learning models. Discuss any tools or frameworks you’ve used, and how you ensure the models are maintained and updated effectively.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about Leading Point's approach to AI solutions and their vision for the future. This shows your genuine interest in the company and helps you assess if it’s the right fit for you.
