At a Glance
- Tasks: Design and implement cutting-edge AI systems for a leading digital asset platform.
- Company: Join a top digital asset platform in Greater London, focused on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be part of a team that values engineering excellence and drives innovation in AI.
- Qualifications: 5+ years in AI/ML, proficient in LangChain and Python, strong communication skills.
- Other info: Ideal for those with a background in financial services and data governance.
The predicted salary is between 48000 - 72000 £ per year.
A leading digital asset platform in Greater London is seeking an experienced AI Engineer to design and implement production AI systems. The ideal candidate will have over 5 years of experience in building AI/ML systems and must be proficient in frameworks and tools such as LangChain and Python. The role requires excellent communication skills for cross-functional collaboration. Candidates with a background in financial services and data governance are preferred. Join a team committed to engineering excellence and innovation.
Senior AI Platform Engineer — Production ML & Data in London employer: Bullish, Inc.
Contact Detail:
Bullish, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Platform Engineer — Production ML & Data in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and financial services sectors. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those using LangChain and Python. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex AI concepts in simple terms, as collaboration is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can give you an edge.
We think you need these skills to ace Senior AI Platform Engineer — Production ML & Data in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML systems, especially using frameworks like LangChain and Python. 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! Tell us about your passion for AI engineering and how your background in financial services can add value to our team. Keep it engaging and relevant!
Showcase Your Communication Skills: Since this role involves cross-functional collaboration, demonstrate your communication skills in your application. We love candidates who can articulate complex ideas clearly and effectively.
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 Bullish, Inc.
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and ML systems, especially with frameworks like LangChain and Python. Be ready to discuss your past projects in detail, highlighting your role and the impact of your work.
✨Showcase Your Communication Skills
Since this role involves cross-functional collaboration, practice articulating your ideas clearly. Prepare examples of how you've successfully worked with different teams in the past, demonstrating your ability to communicate complex concepts effectively.
✨Understand Financial Services and Data Governance
If you have a background in financial services, be prepared to discuss how it relates to AI and data governance. Research current trends in these areas and think about how they might apply to the role you're interviewing for.
✨Emphasise Engineering Excellence
This company values innovation and engineering excellence, so come equipped with examples of how you've contributed to high-quality engineering practices in your previous roles. Discuss any methodologies or best practices you follow to ensure top-notch results.