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- Tasks: Develop and deploy innovative AI systems using Python in exciting greenfield projects.
- Company: Join a leading AI-focused startup in the heart of London.
- Benefits: Competitive compensation with flexibility for top-tier talent.
- Why this job: Make an impact in finance while working on cutting-edge AI technology.
- Qualifications: Strong Python skills, MLOps experience, and a passion for data science.
- Other info: Engage directly with investors in a dynamic front office environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI-focused startup in London is seeking an experienced AI Engineer to work on innovative greenfield projects. The role emphasizes Python development, performance, and the deployment of AI systems.
Candidates should possess strong Python skills, ideally with a background in Data Science or Software Engineering, and experience in MLOps. The position is front office facing, requiring interaction with investors, and an interest in finance is highly valued.
Compensation is competitive and flexible for top-tier talent.
Production AI Engineer: Python, MLOps & Front-Office in London employer: DW Search
Contact Detail:
DW Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production AI Engineer: Python, MLOps & Front-Office in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and finance sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to MLOps. This will give you an edge when discussing your experience with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and finance-related questions. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Production AI Engineer: Python, MLOps & Front-Office in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used Python in past projects, especially in AI and MLOps. Don't hold back on showcasing your coding prowess!
Connect Your Experience to Finance: Since this role is front office facing, it’s a good idea to mention any experience you have in finance or working with investors. We love candidates who can bridge the gap between tech and finance, so let us know how you fit into that picture!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your experience and skills. Remember, less is often more!
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. Plus, we love seeing applications come through our own platform!
How to prepare for a job interview at DW Search
✨Master Your Python Skills
Make sure you brush up on your Python knowledge before the interview. Be ready to discuss your previous projects and how you've used Python in real-world applications, especially in AI and MLOps. Practising coding challenges can also help you demonstrate your problem-solving skills.
✨Showcase Your MLOps Experience
Since this role emphasises MLOps, be prepared to talk about your experience with deploying machine learning models. Discuss any tools or frameworks you've used, and share specific examples of how you've optimised performance in past projects. This will show that you understand the full lifecycle of AI systems.
✨Engage with Financial Concepts
Given that the position is front office facing, having a grasp of financial concepts can set you apart. Brush up on basic finance terminology and be ready to discuss how AI can impact investment strategies. Showing genuine interest in finance will resonate well with the interviewers.
✨Prepare for Interactive Discussions
As this role involves interaction with investors, practice articulating your ideas clearly and confidently. Prepare for potential questions about your approach to AI projects and how you would communicate complex technical concepts to non-technical stakeholders. This will demonstrate your ability to bridge the gap between tech and business.
