At a Glance
- Tasks: Join a dynamic team to develop and implement AI solutions using Large Language Models.
- Company: Work with an innovative client in the exciting betting and gambling industry.
- Benefits: Enjoy a competitive day rate of £400, with remote work options across Europe.
- Why this job: Be part of a cutting-edge project that shapes the future of AI in gaming.
- Qualifications: Strong experience with LLMs and AI/ML engineering; previous gambling sector experience is a plus.
- Other info: Immediate start available; flexible hybrid working in London for locals.
The predicted salary is between 72000 - 108000 £ per year.
We're working with a forward-thinking client in the betting/gambling industry who are looking for an AI Engineer with solid experience in LLMs to join them on a 6-month contract.
Role details:
- Day rate: £400/day
- Outside IR35
- Fully remote across Europe OR 1-2 days/week onsite in London (if local)
- Immediate start
What they're looking for:
- Strong experience with Large Language Models (LLMs)
- AI/ML engineering background
- Previous experience in the betting/gambling sector
- Experience with chatbots or conversational AI is a big plus
- Strong communication skills and ability to collaborate with wider product/tech teams
If you're immediately available or open to hearing more, drop me a message and we can arrange a quick call.
Artificial Intelligence Engineer employer: Explore Group
Contact Detail:
Explore Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Make sure to showcase your experience with Large Language Models (LLMs) in any conversations you have. Be prepared to discuss specific projects or challenges you've faced, as this will demonstrate your expertise and relevance to the role.
✨Tip Number 2
If you have experience in the betting or gambling sector, highlight it! This industry knowledge can set you apart from other candidates, so be ready to talk about how your background aligns with the company's needs.
✨Tip Number 3
Familiarise yourself with conversational AI and chatbots, as these are significant aspects of the role. Being able to discuss recent advancements or your own experiences in this area can give you an edge during discussions.
✨Tip Number 4
Strong communication skills are essential for this position. Practice articulating your thoughts clearly and concisely, especially when discussing technical concepts, as this will help you connect better with the product and tech teams.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Large Language Models (LLMs) and any relevant AI/ML engineering background. Emphasise your previous work in the betting or gambling sector, as this is a key requirement for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your specific experience with chatbots or conversational AI. Mention how your skills align with the company's needs and express your enthusiasm for the opportunity.
Highlight Communication Skills: Since strong communication skills are essential for this role, provide examples in your application of how you've successfully collaborated with product or tech teams in the past. This will demonstrate your ability to work effectively in a team environment.
Proofread Your Application: Before submitting your application, carefully proofread all documents to ensure there are no typos or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Explore Group
✨Showcase Your LLM Expertise
Make sure to highlight your experience with Large Language Models during the interview. Prepare specific examples of projects you've worked on, focusing on the challenges you faced and how you overcame them.
✨Understand the Betting/Gambling Sector
Familiarise yourself with the betting and gambling industry, especially how AI is being utilised. This knowledge will demonstrate your interest in the sector and help you relate your skills to their needs.
✨Prepare for Technical Questions
Expect technical questions related to AI/ML engineering. Brush up on key concepts and be ready to discuss algorithms, frameworks, and tools you’ve used in your previous roles.
✨Emphasise Communication Skills
Since collaboration with product and tech teams is crucial, be prepared to discuss how you’ve effectively communicated complex ideas in past roles. Share examples that showcase your teamwork and problem-solving abilities.