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- Tasks: Develop and optimise AI models, focusing on LLM fine-tuning and real-world applications.
- Company: Join a growing AI team dedicated to cutting-edge machine learning and generative AI solutions.
- Benefits: Enjoy a fully remote role with a competitive salary and supportive team culture.
- Why this job: Gain hands-on experience in AI while collaborating with experienced professionals on impactful projects.
- Qualifications: Proficiency in Python, experience with LLMs, and familiarity with cloud platforms are essential.
- Other info: Opportunities for leadership and continuous learning in a dynamic environment.
The predicted salary is between 24000 - 32000 £ per year.
We’re looking for a Junior AI Developer to join a small but growing AI team. This is a fantastic opportunity to work closely with experienced AI professionals, learning and applying cutting-edge techniques in machine learning and generative AI. You’ll get hands-on experience fine-tuning large language models (LLMs) and optimising AI solutions across text, audio, and video. If you have a research-driven mindset, a solid grasp of Python, and a passion for AI, we want to hear from you!
What you’ll be doing:
- Developing, fine-tuning, and optimising machine learning models.
- Covering various AI applications, including text, audio, and video, with a primary focus on LLM fine-tuning.
- Collaborating closely with a Senior AI Developer and the team lead, contributing to real-world AI projects and helping to improve model accuracy and performance.
- Evaluating and fine-tuning existing AI models.
- Optimising traditional machine learning and deep learning models, fine-tuning LLMs for specific business needs, and evaluating model performance using statistical techniques.
- Working primarily with Azure, though some exposure to AWS may be beneficial.
- Writing efficient, production-ready Python code and working with SQL databases to extract, process, and analyse data.
- Staying up to date with the latest AI research and experimenting with new techniques to enhance AI solutions.
This is a hands-on role where you’ll have the opportunity to contribute to meaningful projects from day one, developing both your technical skills and problem-solving abilities.
What experience you’ll need to apply:
- Proficiency in Python for AI/ML development (ideally 18 months+ of commercial experience).
- Experience working with LLMs and Generative AI (text is essential; audio and video are a bonus).
- Hands-on experience fine-tuning AI models.
- Familiarity with cloud platforms (Azure, AWS, etc.).
- Basic SQL knowledge for data extraction and analysis.
- Strong statistics knowledge.
- A research-driven mindset with a problem-solving approach.
- Bonus for experience deploying AI models in production.
- Familiarity with MLOps tools and best practices is a bonus.
- Experience with machine learning and deep learning frameworks (TensorFlow, PyTorch, etc.) is a bonus.
What you’ll get in return:
A fully remote role with a salary of between £30,000-£40,000 (DOE), and a supportive team environment with leadership opportunities.
What’s next?
If this sounds like the role for you, apply with your updated CV! We’ll review applications as soon as possible and reach out for a quick chat. If you have any questions, feel free to drop Tegan an email!
Junior AI Developer employer: ADLIB
Contact Detail:
ADLIB Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior AI Developer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, especially in LLMs and generative AI. This will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Engage with online communities or forums related to AI development. Networking with professionals in the field can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Consider working on personal projects that involve fine-tuning AI models or using cloud platforms like Azure. Having practical examples to discuss can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your problem-solving approach and any statistical techniques you've used in past projects. Being able to articulate your thought process will demonstrate your research-driven mindset.
We think you need these skills to ace Junior AI Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your proficiency in Python and any experience you have with LLMs and generative AI. Include specific projects or roles where you've fine-tuned AI models or worked with cloud platforms like Azure.
Craft a Strong Cover Letter: In your cover letter, express your passion for AI and your research-driven mindset. Mention how your skills align with the job requirements and your eagerness to learn from experienced professionals in the team.
Showcase Relevant Experience: If you have experience with machine learning frameworks like TensorFlow or PyTorch, be sure to include this in your application. Highlight any hands-on projects that demonstrate your ability to optimise AI solutions across different media types.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A well-presented application reflects your attention to detail and professionalism, which is crucial in a technical role like this.
How to prepare for a job interview at ADLIB
✨Showcase Your Python Skills
Since proficiency in Python is crucial for this role, be prepared to discuss your experience with it. Bring examples of projects where you've used Python for AI/ML development, and if possible, demonstrate your coding skills during the interview.
✨Familiarise Yourself with LLMs
As the role focuses on fine-tuning large language models, make sure you understand the fundamentals of LLMs and generative AI. Be ready to discuss any hands-on experience you have, including specific techniques you've used to optimise these models.
✨Brush Up on Cloud Computing Knowledge
Since you'll be working primarily with Azure, it's important to have a good grasp of cloud computing concepts. Familiarise yourself with Azure services related to AI and be prepared to discuss how you've used cloud platforms in previous projects.
✨Demonstrate a Research-Driven Mindset
This role values a research-driven approach, so be ready to talk about how you stay updated with the latest AI trends and research. Share any recent articles or papers you've read and how they might influence your work as a Junior AI Developer.
