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- Tasks: Build and deploy cutting-edge AI systems that drive real business value.
- Company: Join an elite investment firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Work on exciting greenfield AI projects and make a tangible impact.
- Qualifications: Strong Python skills and experience in AI system deployment are essential.
The predicted salary is between 50000 - 70000 £ per year.
Are you an AI Engineer with a strong software engineering foundation and a track record of building AI systems that run in production? Come and join this elite investment firm, where you will work alongside a team with years of real commercial AI experience behind them.
This role is front office facing and we are looking for exceptional technical talent who care about driving business value and enjoy working closely with users. You can expect to work on greenfield AI projects using Python as a first-class language, with a strong focus on fundamentals, performance, and correctness.
The work spans production LLM and ML systems, data pipelines, model deployment, monitoring, and iteration. You will be building and owning systems end to end, including infrastructure and MLOps, across Azure and AWS environments.
In terms of background, we are open to Data Scientist or Software Engineer backgrounds but strong Python is mandatory. We are looking for engineers who really understand Python, including internals and core language behaviour, and who are comfortable designing, deploying, and maintaining AI systems in production. You will be tested on Python fundamentals early in the process.
Experience with MLOps, model lifecycle management, and operating AI systems at scale is essential. Candidates earlier in their career with strong academic track record and a couple of years of related experience would also be considered. Financial services experience is a plus, as you will be working closely with investors, but a genuine interest in finance and experience in adjacent industries is definitely considered.
Artificial Intelligence Engineer employer: DW Search
Contact Detail:
DW Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Python. We recommend including any greenfield projects or MLOps work you've done, as this will really catch the eye of potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python fundamentals. We suggest doing mock interviews with friends or using online platforms to practice coding challenges. Being confident in your Python knowledge will set you apart from the competition.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Artificial Intelligence Engineer
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 well you understand the language, so include any relevant projects or experiences that showcase your skills and knowledge of Python internals.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the AI Engineer role. Mention your experience with MLOps, model lifecycle management, and any relevant projects that demonstrate your ability to build and maintain AI systems.
Express Your Interest in Finance: Even if you don’t have direct financial services experience, let us know about your genuine interest in finance. Share any related experiences or projects that show your enthusiasm for the industry, as it can really set you apart from other candidates.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all the necessary documents in one go. Plus, it helps us keep track of your application!
How to prepare for a job interview at DW Search
✨Master Your Python Fundamentals
Since strong Python skills are a must for this role, make sure you brush up on your Python fundamentals before the interview. Review core concepts, data structures, and language behaviour. Practising coding challenges can also help you demonstrate your proficiency.
✨Showcase Your AI Experience
Be prepared to discuss your previous projects involving AI systems. Highlight your experience with model deployment, monitoring, and MLOps. Use specific examples to illustrate how you've driven business value through your work, as this will resonate well with the interviewers.
✨Understand the Financial Context
Even if you don't have direct financial services experience, showing a genuine interest in finance can set you apart. Familiarise yourself with basic financial concepts and how AI can impact investment decisions. This will help you connect better with the team and demonstrate your enthusiasm for the industry.
✨Prepare for Technical Questions
Expect to be tested on your technical knowledge, especially around Python and AI systems. Prepare for questions that assess your problem-solving skills and understanding of production-level AI. Practising mock interviews with a friend or using online platforms can help you feel more confident.