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- Tasks: Lead the design and development of an AI Agent for financial modelling.
- Company: Join a cutting-edge team redefining technology in finance and real estate.
- Benefits: Enjoy a hybrid work environment, 25+ days leave, and regular social events.
- Why this job: Shape the future of AI while collaborating with top talent in a dynamic setting.
- Qualifications: 5+ years in AI/ML, expertise in LLMs, NLP, and proficiency in Python required.
- Other info: VISA sponsorship is not available; applicants must have UK work rights.
The predicted salary is between 48000 - 84000 £ per year.
Job Description
Lead the Future of AI: Lead AI Researcher
About the Role:
Join as a Principal/Lead AI Engineer to design and build an AI Agent that will revolutionize how users interact with financial modelling systems. Your mission? Develop cutting-edge AI capabilities using LLMs and advanced NLP to enable natural language queries, resolve ambiguities, and seamlessly integrate with their platform.
Your Key Contributions:
- Develop an LLM-powered AI Agent to interpret and execute user queries.
- Create dialogue management systems for clarification and information gathering.
- Design scalable architectures to ensure high accuracy and performance.
- Collaborate with engineers and data scientists to integrate and productionize the agent.
What They’re Looking For:
- 5+ years in AI/ML with a focus on LLMs, NLP , and chatbots.
- Proficiency in Python and frameworks like LangChain, PyTorch, or TensorFlow.
- Bonus: Experience in financial modelling, real estate analysis, or explainable AI.
Why Join?
- Shape the future of AI-driven financial modelling and decision-making.
- Hybrid work environment with 25+ days leave, regular socials, and a central London office.
- Be part of a high-calibre, innovative team redefining how technology drives the real estate and financial sectors.
Ready to build the next-gen AI Agent? Apply now and make your mark!
VISA SPONSORSHIP IS NOT AVAILABLE FOR THIS POSITION; APPLICANTS MUST HAVE THE RIGHT TO WORK IN UK WITHOUT EMPLOYER SPONSORSHIP.
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Lead AI Researcher employer: Ability Resourcing
Contact Detail:
Ability Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Researcher
✨Tip Number 1
Make sure to showcase your experience with LLMs and NLP in your conversations. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your expertise and relevance to the role.
✨Tip Number 2
Network with professionals in the AI and financial sectors. Attend industry meetups or webinars to connect with potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss your approach to designing scalable architectures. Be ready to explain how you ensure high accuracy and performance in your AI models, as this is a key aspect of the role.
✨Tip Number 4
Familiarize yourself with the company's existing products and services. Understanding their platform will allow you to propose innovative ideas during interviews, showing that you're proactive and genuinely interested in contributing to their mission.
We think you need these skills to ace Lead AI Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML, particularly with LLMs and NLP. Include specific projects or roles that demonstrate your proficiency in Python and relevant frameworks like LangChain, PyTorch, or TensorFlow.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and financial modelling. Explain how your background aligns with the company's mission to revolutionize user interaction with financial systems and mention any relevant experience in real estate analysis or explainable AI.
Showcase Relevant Projects: If you have worked on projects involving dialogue management systems or AI agents, be sure to describe these in your application. Highlight your role, the technologies used, and the impact of your work.
Highlight Collaboration Skills: Since the role involves collaboration with engineers and data scientists, emphasize your teamwork skills. Provide examples of successful collaborations in past projects, especially those related to AI development.
How to prepare for a job interview at Ability Resourcing
✨Showcase Your AI Expertise
Be prepared to discuss your experience with LLMs and NLP in detail. Highlight specific projects where you've developed AI capabilities, especially those that involved chatbots or financial modelling.
✨Demonstrate Problem-Solving Skills
Expect to tackle hypothetical scenarios during the interview. Practice explaining how you would approach ambiguity in user queries and design dialogue management systems to gather information effectively.
✨Highlight Collaboration Experience
Since collaboration is key for this role, share examples of how you've worked with engineers and data scientists in the past. Discuss how you integrated AI solutions into existing platforms and the impact it had.
✨Prepare Questions About Their Vision
Show your interest in the company's future by preparing thoughtful questions about their AI strategy and how they envision the role of AI in financial modelling. This demonstrates your enthusiasm and alignment with their goals.
