At a Glance
- Tasks: Lead AI deployments from start to finish and collaborate with business teams.
- Company: TP ICAP, a leading firm in the financial services sector.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: High-autonomy role with significant influence on innovative projects.
- Why this job: Work with cutting-edge generative AI and shape product direction in a dynamic environment.
- Qualifications: Experience in AI deployment and strong coding skills in both frontend and backend.
The predicted salary is between 72000 - 88000 £ per year.
TP ICAP in London is seeking a Senior Forward Deployed (AI) Engineer to embed with business divisions and lead end-to-end AI deployments from discovery to production rollout. You will partner with domain teams to design solutions, write production-grade code across frontend and backend, and contribute to TP ICAP's central AI platform with field insights. This high-autonomy role offers exposure to cutting-edge generative AI and opportunities to influence product direction within a fast-paced environment.
Senior AI Deployment Engineer (Forward Deployed) in London employer: TP ICAP
TP ICAP is an excellent employer that fosters a collaborative and innovative work culture in the vibrant city of Belfast. Employees benefit from a high level of autonomy in their roles, along with opportunities for professional growth and client engagement, making it a rewarding environment for those passionate about financial markets and analytics.
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We think this is how you could land Senior AI Deployment Engineer (Forward Deployed) in London
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We think you need these skills to ace Senior AI Deployment Engineer (Forward Deployed) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
