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- Tasks: Lead the design and development of an AI Agent for financial modelling.
- Company: Join a cutting-edge team revolutionizing 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 the right to work in the UK.
The predicted salary is between 43200 - 72000 £ per year.
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.
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
Familiarize yourself with the latest advancements in LLMs and NLP. Being able to discuss recent breakthroughs or trends during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Prepare to showcase your experience with Python and relevant frameworks like LangChain, PyTorch, or TensorFlow. Consider discussing specific projects where you utilized these technologies to solve complex problems.
✨Tip Number 3
Highlight any experience you have in financial modelling or real estate analysis. This will set you apart as a candidate who not only understands AI but also its application in the financial sector.
✨Tip Number 4
Be ready to discuss how you would approach building a dialogue management system. Think about potential challenges and solutions, as this will show your problem-solving skills and innovative thinking.
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 how you've successfully worked in cross-functional teams to achieve project goals.
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 scenario-based questions that assess your ability to resolve ambiguities in user queries. Practice articulating your thought process and how you would approach designing dialogue management systems.
✨Familiarize Yourself with Relevant Frameworks
Brush up on Python and frameworks like LangChain, PyTorch, or TensorFlow. Be ready to discuss how you've used these tools in past projects and how they can be applied to the role.
✨Emphasize Collaboration Experience
Since the role involves working closely with engineers and data scientists, prepare examples of successful collaborations. Discuss how you’ve integrated AI solutions into existing platforms and the impact it had on the team.
