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- Tasks: Retrain and fine-tune Large Language Models to create cutting-edge conversational AI.
- Company: Join a forward-thinking tech team that values creativity and innovation.
- Benefits: Competitive salary, flexible work hours, and opportunities for professional growth.
- Why this job: Make an impact in AI development and work with the latest technologies.
- Qualifications: 3-5 years in AI/ML, strong Python skills, and experience with LLMs.
- Other info: Dynamic environment with a focus on collaboration and career advancement.
The predicted salary is between 28800 - 48000 £ per year.
We are seeking an experienced AI Developer with a strong background in Large Language Models (LLMs) to join our AI team. The ideal candidate will have expertise in retraining and fine-tuning LLMs using proprietary datasets to build a conversational chat bot.
Key Responsibilities:
- Model Development: Retrain and fine-tune existing Large Language Models (LLMs) using proprietary datasets to meet specific business requirements.
- Data Integration: Work with data engineers and data scientists to curate, preprocess, and integrate company-specific data into LLMs.
- Model Evaluation: Design and execute experiments to evaluate model performance, accuracy, and scalability, using metrics relevant to the business.
- Optimization: Implement model optimization techniques to improve efficiency, reduce latency, and enhance model scalability.
- Collaboration: Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to align AI solutions with business goals.
- Deployment: Assist in deploying LLMs into production environments, ensuring robust and scalable AI solutions.
Qualifications:
- Experience: 3-5 years of experience in AI/ML development, with a focus on working with Large Language Models (e.g., GPT, BERT, Hugging Face, etc.).
- Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience).
- Technical Skills: Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). Strong understanding of NLP techniques, including tokenization, embeddings, transformers, and attention mechanisms. Experience in retraining and fine-tuning LLMs using large-scale datasets. Familiarity with cloud platforms like AWS, Google Cloud, or Azure for model training and deployment.
- Data Skills: Expertise in data preprocessing, augmentation, and management of large datasets for training purposes.
- Problem-Solving: Strong analytical and problem-solving skills, with the ability to address complex AI challenges.
- Communication: Excellent communication skills to explain technical concepts to non-technical stakeholders.
- Version Control: Proficiency with version control tools such as Git.
Required skills:
- Experience in retraining LLMs on various datasets
- Conversational AI
- Python
- Docker
Preferred Skills:
- Experience with specialized AI domains such as conversational AI, sentiment analysis, or recommendation systems.
- Knowledge of model interpretability techniques and responsible AI practices.
- Familiarity with MLOps pipelines for continuous integration and deployment of AI models.
- Experience with API development and integration for deploying AI services.
- Prior experience in working with proprietary or sensitive data.
What We Offer:
- Competitive Salary: Based on experience and expertise.
- Professional Growth: Opportunities for career development, including access to the latest AI research and technologies.
- Flexible Work Environment: Options for remote work and flexible hours to promote work-life balance.
- Innovative Culture: Join a forward-thinking team that values creativity, collaboration, and innovation.
Interested candidates are invited to submit their resume, a cover letter, and any relevant project portfolios.
We do not offer UK Skilled Worker Visa Sponsorship. If you are a UK resident then you must have a working UK VISA to apply for this job.
AI Developer in London employer: Purple Dot Digital Limited
Contact Detail:
Purple Dot Digital Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Developer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common AI concepts and be ready to discuss your experience with retraining and fine-tuning models. Practice explaining complex ideas simply; it’ll impress both technical and non-technical interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Developer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Large Language Models and any relevant projects. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you the perfect fit for our team. Keep it engaging and personal – we love a good story!
Showcase Your Projects: If you've worked on any cool AI projects, make sure to include them in your application. Whether it's a chatbot or a model you've fine-tuned, we want to see your hands-on experience and creativity in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it gives us a chance to see your enthusiasm for joining StudySmarter!
How to prepare for a job interview at Purple Dot Digital Limited
✨Know Your LLMs
Make sure you brush up on your knowledge of Large Language Models like GPT and BERT. Be ready to discuss your experience with retraining and fine-tuning these models, especially using proprietary datasets. This will show that you’re not just familiar with the tech but have hands-on experience.
✨Showcase Your Data Skills
Prepare to talk about your experience with data preprocessing and management. Highlight specific projects where you’ve integrated company-specific data into LLMs. Being able to explain your approach to data curation will impress the interviewers and demonstrate your technical prowess.
✨Experimentation is Key
Be ready to discuss how you design and execute experiments to evaluate model performance. Bring examples of metrics you've used to measure accuracy and scalability. This shows that you understand the importance of model evaluation in AI development.
✨Collaboration Counts
Since this role involves working with cross-functional teams, prepare examples of how you’ve collaborated with product managers, data scientists, or software engineers in the past. Emphasising your communication skills will help convey that you can bridge the gap between technical and non-technical stakeholders.
