At a Glance
- Tasks: Build AI language models that make a real-world impact and unlock hidden insights.
- Company: Fast-growing AI company based in London with a vibrant culture.
- Benefits: Competitive salary, flexible hours, remote work options, and skill development opportunities.
- Other info: Dynamic environment with endless opportunities for growth and learning.
- Why this job: Join a team where your work transforms data into dazzling insights and drives innovation.
- Qualifications: Experience in AI, machine learning, or software development; passion for tech and collaboration.
The predicted salary is between 35000 - 45000 £ per year.
Responsibilities
- You will work for a fast-growing AI company in London, building language models that help real people in the real world.
- You will preprocess and clean large text datasets, removing noise and polishing tokens until the patterns shine.
- You will experiment with embeddings, attention layers, and prompt designs to unlock hidden insights from language.
- You will fine-tune pre-trained LLMs on domain-specific data, making them more accurate, responsive, and context-aware.
- You will evaluate models using metrics like perplexity, BLEU, ROUGE, F1 score, and user-centric feedback.
- You will implement prompt engineering strategies to ensure outputs are high-quality, reliable, and safe.
- You will help integrate LLMs and other ML models into applications, APIs, and production pipelines.
- You will monitor performance and debug models to identify hallucinations, biases, and unexpected outputs.
- You will collaborate with data engineers, NLP researchers, software developers, and product owners to ensure models meet real-world needs.
- You will document models, datasets, and experiments, so knowledge can be reused and refined.
- You will use version control systems (e.g. Git) to keep your code polished and traceable.
- You will be comfortable with CI/CD pipelines for model deployment so your LLMs are production-ready.
- You will learn and apply ethical AI and ML best practices, ensuring models are responsible, fair, and explainable.
- You will explore new libraries, frameworks, and tools to sharpen your skills: transforming rough data into dazzling insights.
Junior AI Engineers and... err, Gemologists. in London employer: Mongoose Gray
Join a dynamic and innovative AI company in the heart of London, where you will be part of a collaborative team dedicated to pushing the boundaries of language models. We offer a vibrant work culture that fosters creativity and continuous learning, with ample opportunities for professional growth and development. Enjoy the unique advantage of working in a fast-paced environment that values ethical AI practices and encourages exploration of new technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Junior AI Engineers and... err, Gemologists. in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and language models. We want to see how you preprocess data or fine-tune models, so make sure your work shines bright!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions and even doing mock interviews with friends. Confidence is key, so let your passion for AI and ML come through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our fast-growing team!
We think you need these skills to ace Junior AI Engineers and... err, Gemologists. in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and language models shine through. We want to see that you’re genuinely excited about the work we do and how you can contribute to it!
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Junior AI Engineer role. Highlight relevant experiences and skills that align with our job description, especially around preprocessing data and model evaluation.
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Make it easy for us to see why you’d be a great fit!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Mongoose Gray
✨Know Your Tech
Make sure you brush up on the latest AI technologies and frameworks relevant to the role. Familiarise yourself with language models, embeddings, and prompt engineering strategies. Being able to discuss these topics confidently will show your passion and readiness for the job.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, especially those involving data preprocessing or model evaluation. Highlight specific metrics like BLEU or F1 score that you’ve used to measure success. This will demonstrate your hands-on experience and understanding of the practical applications of your skills.
✨Ask Insightful Questions
Come prepared with questions that show your interest in the company’s work and culture. Inquire about their approach to ethical AI practices or how they integrate feedback into model improvements. This not only shows your enthusiasm but also helps you gauge if the company aligns with your values.
✨Collaborative Mindset
Since the role involves working with various teams, be ready to discuss your collaborative experiences. Share examples of how you’ve worked with data engineers or software developers in the past. Emphasising your ability to communicate and collaborate effectively will make you a more attractive candidate.
