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For Companies At a Glance
- Tasks: Lead the development of POCs showcasing Generative AI for clients' unique needs.
- Company: Join a dynamic AI Training Consultancy focused on empowering businesses with AI knowledge.
- Benefits: Enjoy a hybrid work model and competitive salary ranging from £65k to £80k.
- Why this job: Be part of a start-up revolutionizing AI training while fostering innovation and growth.
- Qualifications: 3+ years in software engineering, expertise in AI solutions, and a passion for learning.
- Other info: We welcome applicants who may not meet every requirement but are eager to make an impact.
The predicted salary is between 65000 - 80000 £ per year.
Role : AI Solutions Consultant Location : Glasgow (hybrid)
Salary : £65k – £80k
Summary
Our client is up-and-coming AI Training Consultancy dedicated to empowering non-technical executives and business owners to understand how Generative AI can help their business. Launched in 2022, they have leveraged thousands of hours of research to craft learning content and services that offer clear, accessible steps to adapt AI into businesses successfully.
As they continue to grow, they’re now looking for an AI Solutions Consultant to leverage their technical expertise and lead on building POCs for their clients to demonstrate the ability of Generative AI for their specific use cases.
The Role
The AI Solutions Consultant will be contributing to the advancement of AI training products and services ensuring SME organisations understand the capabilities and the ease with which they can capitalise on them.
The ideal candidate will have a proven track record of turning client problems to POCs, a good understanding of machine learning algorithms, a deep interest in the latest generative AI models (ideally with experience of tuning them), be a master of data and have a passion for staying at the forefront of the field.
This is a unique opportunity to contribute to the growth of a start-up that is passionate about democratising AI knowledge and fostering a culture of innovation.
Requirements
- 3+ years’ experience in software engineering within financial services or consultancy, with expertise in AI-driven solutions and LLM-based products.
- Experience with fine-tuning and deploying pre-trained AI models to demonstrate real-world applications, knowledge in LLM evaluation and benchmarking
- Passionate about AI and its potential for transforming businesses.
- Proactive and independent, with a strong drive to learn and innovate.
- Excellent academic background or relevant experience in fields like Data Science, Computer Science, or Artificial Intelligence.
We understand that not everyone will meet every single requirement. If you’re excited about this role and believe you have the skills to make an impact, we encourage you to apply.
(Graduate) Microsoft Consultant employer: Nine Twenty Recruitment
Contact Detail:
Nine Twenty Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land (Graduate) Microsoft Consultant
✨Tip Number 1
Make sure to showcase your experience with AI-driven solutions and LLM-based products during networking events or informal meetups. Engaging in conversations about your past projects can help you stand out and demonstrate your expertise.
✨Tip Number 2
Stay updated on the latest trends in generative AI by following industry leaders on social media and participating in relevant online forums. This will not only enhance your knowledge but also give you talking points during interviews.
✨Tip Number 3
Consider creating a portfolio that highlights your work with fine-tuning and deploying AI models. Having tangible examples of your skills can make a strong impression on potential employers.
✨Tip Number 4
Reach out to current employees at the consultancy through LinkedIn to learn more about their experiences. This can provide valuable insights into the company culture and expectations, helping you tailor your approach when applying.
We think you need these skills to ace (Graduate) Microsoft Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering, particularly within financial services or consultancy. Emphasize any work you've done with AI-driven solutions and LLM-based products.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and its transformative potential for businesses. Mention specific examples of how you've turned client problems into POCs and your experience with fine-tuning AI models.
Showcase Relevant Projects: If you have worked on projects related to generative AI or machine learning, be sure to include them in your application. Describe your role, the challenges faced, and the outcomes achieved to demonstrate your expertise.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops you've attended that relate to AI, data science, or machine learning. This shows your proactive approach and commitment to staying at the forefront of the field.
How to prepare for a job interview at Nine Twenty Recruitment
✨Show Your Passion for AI
Make sure to express your enthusiasm for AI and its transformative potential during the interview. Share specific examples of how you've engaged with AI technologies, whether through projects, research, or personal interests.
✨Demonstrate Technical Expertise
Be prepared to discuss your experience with machine learning algorithms and generative AI models. Highlight any relevant projects where you fine-tuned or deployed AI models, and be ready to explain the impact of your work.
✨Prepare Real-World Examples
Think of concrete examples where you've turned client problems into proof of concepts (POCs). This will showcase your problem-solving skills and ability to apply technical knowledge in practical scenarios.
✨Emphasize Your Proactive Nature
The role requires a proactive and independent mindset. Share instances where you've taken the initiative to learn new technologies or drive innovation in your previous roles, demonstrating that you're a self-starter.
