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- 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 continuous learning opportunities.
- Other info: Dynamic environment with endless opportunities for growth and skill development.
- Why this job: Join a team where your work transforms data into dazzling insights and shapes the future of AI.
- Qualifications: Experience in AI, machine learning, or related fields; passion for innovation 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. employer: Mongoose Gray
Contact Detail:
Mongoose Gray Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior AI Engineers and... err, Gemologists.
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land 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 love seeing practical examples of your work, so make sure to highlight any cool experiments or models you've built.
✨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 shine 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’re always on the lookout for fresh talent, so take that leap and submit your application today!
We think you need these skills to ace Junior AI Engineers and... err, Gemologists.
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and language models. Share any projects or experiences that highlight your interest in the field, as we love to see candidates who are genuinely excited about what they do!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Junior AI Engineer role. Highlight relevant skills and experiences that align with our job description, especially around preprocessing data and working with LLMs. We want to see how you fit into our team!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s relevant. We appreciate a well-structured application that makes it easy for us to see your qualifications and potential.
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. Plus, it helps us keep everything organised on our end!
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 that you're not just a candidate, but a passionate tech enthusiast.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, especially those involving data preprocessing or model evaluation. Bring examples of how you've used metrics like BLEU or F1 score in your work. This will demonstrate your hands-on experience and problem-solving skills.
✨Collaboration is Key
Since the role involves working with various teams, be ready to discuss your experience collaborating with others. Share specific examples of how you've worked with data engineers or software developers in the past. Highlighting your teamwork skills will show that you can thrive in a collaborative environment.
✨Ask Smart Questions
Prepare thoughtful questions about the company's approach to ethical AI and how they ensure their models are fair and explainable. This not only shows your interest in the role but also your commitment to responsible AI practices. It’s a great way to engage with the interviewers and leave a lasting impression.