Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a global energy company to develop AI solutions using Generative AI and LLMs.
- Company: World-leading energy trading company with innovative projects.
- Benefits: Long-term contract with potential for permanent position and career growth.
- Why this job: Be part of a strategic IT project that shapes the future of energy trading.
- Qualifications: Experience in Python, Git, and AI model deployment is essential.
- Other info: Exciting opportunity to work on cutting-edge technology in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
This is a really exciting contract opportunity for an AI Engineer with expertise in Generative AI and Large Language Models (LLMs) to join this world leading Energy Trading company. The role would be part of a long term strategic IT project, with ongoing contract extensions and possibly a transition to permanent.
Prior experience working in trading projects would be of particular interest.
Core Technical Skills
- Programming: Python
- Version Control: Git/GitHub
- System Integration & Deployment
- Model Serving: Triton Inference Server, Hugging Face Inference Endpoints
- API Integration: OpenAI, Anthropic, Cohere, Mistral
AI Engineer with Global Energy Company in London employer: Eaglecliff Recruitment
Contact Detail:
Eaglecliff Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer with Global Energy Company in London
✨Tip Number 1
Network like a pro! Reach out to folks in the energy and AI sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Generative AI and LLMs. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with Python, Git, and model serving tools like Triton and Hugging Face.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you're serious about joining the team.
We think you need these skills to ace AI Engineer with Global Energy Company in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Generative AI and LLMs. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity and how your background in Trading Projects makes you a perfect fit. We love seeing genuine enthusiasm!
Showcase Your Technical Skills: Be specific about your programming skills, especially in Python, and any experience with tools like Git/GitHub. If you've worked with model serving or API integration, let us know – we’re keen to hear about it!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding your application status!
How to prepare for a job interview at Eaglecliff Recruitment
✨Know Your Generative AI Inside Out
Make sure you brush up on your knowledge of Generative AI and Large Language Models. Be ready to discuss specific projects you've worked on, especially those related to trading. This will show your potential employer that you not only understand the technology but also how it applies in a real-world context.
✨Showcase Your Python Skills
Since programming in Python is crucial for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your previous projects. Practising common algorithms or data structures in Python can give you an edge.
✨Familiarise Yourself with Version Control
Understanding Git and GitHub is essential for collaboration in any tech role. Be prepared to talk about how you've used version control in past projects, including any challenges you faced and how you overcame them. This shows your ability to work effectively in a team.
✨Prepare for Technical Questions on API Integration
Given the focus on API integration with platforms like OpenAI and Anthropic, expect technical questions in this area. Brush up on how these APIs work and think of examples where you've successfully integrated them into your projects. This will demonstrate your hands-on experience and problem-solving skills.