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- Tasks: Lead and mentor teams on cutting-edge NLP and Generative AI projects.
- Company: Join a dynamic UK-based deep tech start-up at the forefront of AI innovation.
- Benefits: Enjoy competitive salary, flexible hours, and generous share options.
- Why this job: Shape the future of AI in a fast-paced environment with rapid career growth.
- Qualifications: 5+ years in NLP/Generative AI, strong leadership skills, and proficiency in Python.
- Other info: Hybrid working options available; work partly from our Oxfordshire office.
The predicted salary is between 48000 - 84000 £ per year.
Lead AI EngineerAbout Us: We are a dynamic UK-based deep tech start-up looking for a Lead Generative AI Engineer to join our growing team. If you have over 5 years of experience in NLP/Generative AI and a knack for leading teams in a fast-paced environment, we want to hear from you!Role Overview:You will lead and mentor teams on innovative NLP and Generative AI projects, focusing on developing, integrating, and scaling natural language model systems. Stay at the forefront of the latest trends in Generative AI and machine learning.Key Responsibilities:Lead technical teams in a dynamic environment.Develop innovative AI algorithms for our core products.Collaborate with the team to deploy AI products in offline environments.Requirements:5+ years of experience with NLP/Generative AI, including LLMs.Proven experience leading teams.Up-to-date with current LLM and NLP research.Security clearance (minimum SC) or eligibility for clearance.Strong background in NLP techniques and machine learning pipelines.Proficiency in Python, full-stack development, GIT, Docker, and AWS/Cloud.Nice to Haves:Portfolio of AI/robotics work (e.g., GitHub, published papers).Experience with Agile development and MLOps.What We Offer:Competitive salary (negotiable based on experience).Rapid career progression opportunities.Influence the direction of a fast-moving start-up.Generous share option scheme.Flexible working hours and hybrid working options. (1/2 days in our Oxfordshire office)
Lead AI engineer employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI engineer
✨Tip Number 1
Make sure to showcase your leadership experience in AI projects. Highlight specific instances where you've led teams or mentored others, as this is crucial for the Lead AI Engineer role.
✨Tip Number 2
Stay updated on the latest trends in NLP and Generative AI. Being knowledgeable about current research and advancements will demonstrate your passion and commitment to the field.
✨Tip Number 3
If you have a portfolio of your work, such as GitHub repositories or published papers, make sure to reference them. This can significantly strengthen your application by showcasing your practical experience.
✨Tip Number 4
Familiarize yourself with Agile development and MLOps practices. Mentioning your experience with these methodologies can set you apart, as they are valuable in a fast-paced start-up environment.
We think you need these skills to ace Lead AI engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in NLP and Generative AI. Focus on specific projects you've led, technologies you've used, and the impact of your work.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and leadership. Mention how your background aligns with the company's goals and how you can contribute to their innovative projects.
Showcase Your Technical Skills: Include specific examples of your proficiency in Python, full-stack development, GIT, Docker, and AWS/Cloud. If you have a portfolio or GitHub repository, make sure to link it.
Highlight Leadership Experience: Emphasize your experience leading teams in fast-paced environments. Provide examples of how you've mentored others and driven successful AI projects.
How to prepare for a job interview at Opus Recruitment Solutions
✨Showcase Your Leadership Experience
Since the role requires leading teams, be prepared to discuss your previous leadership experiences. Share specific examples of how you've successfully guided teams in fast-paced environments and the impact of your leadership on project outcomes.
✨Demonstrate Technical Expertise
Highlight your proficiency in NLP and Generative AI, especially with LLMs. Be ready to discuss recent projects you've worked on, the algorithms you developed, and how you integrated them into existing systems.
✨Stay Updated on Industry Trends
The company values staying at the forefront of Generative AI trends. Research the latest advancements in the field and be prepared to discuss how these trends could influence the company's products and strategies.
✨Prepare for Technical Questions
Expect technical questions related to Python, machine learning pipelines, and cloud technologies like AWS. Brush up on your knowledge and be ready to solve problems or explain concepts during the interview.
