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- Tasks: Join us to build and deploy innovative AI features using Python and large language models.
- Company: We are a forward-thinking tech company focused on cutting-edge AI solutions.
- Benefits: Enjoy a fully remote role with competitive pay and the potential for contract extension.
- Other info: This is a 12-month contract role, starting ASAP, with a rate of £500–£600/day.
- Why this job: Be part of a dynamic team shaping the future of AI technology with real-world impact.
- Qualifications: Strong Python skills and experience with LLMs are essential; bonus points for cloud and optimization knowledge.
The predicted salary is between 100000 - 120000 £ per year.
Job Description
🔧 Contract LLM Engineer – Python / AI
Location: Remote (UK/EU preferred)
Rate: £500–£600/day (Outside IR35)
Length: 12 months (Possibility of extension)
Start: ASAP
I'm on the lookout for a Contract LLM Engineer to help build and deploy cutting-edge AI features using Python and large language models. You’ll work on fine-tuning, integrating, and scaling LLMs for real-world applications.
Key Skills:
Strong Python engineering background
Experience with LLMs (e.g. Hugging Face, OpenAI, LangChain)
Model fine-tuning, RAG pipelines, vector databases (e.g. FAISS, Pinecone)
Cloud (AWS/GCP), CI/CD, Docker
Bonus: Knowledge of model optimization, quantization, or open-source contributions.
📩 If interested send your CV to adeeb.rahman@opusrs.com
LLM Engineer - 12 month contract - Fully remote employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land LLM Engineer - 12 month contract - Fully remote
✨Tip Number 1
Make sure to showcase your experience with large language models in your conversations. Discuss specific projects where you've fine-tuned or integrated LLMs, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarise yourself with the latest trends and advancements in AI and Python engineering. Being able to discuss recent developments or tools like Hugging Face or LangChain can set you apart during interviews.
✨Tip Number 3
Network with professionals in the AI field, especially those who have worked on similar projects. Engaging in relevant online communities or forums can provide insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your experience with cloud platforms and CI/CD processes. Be ready to explain how you've used these technologies in past projects, as they are crucial for deploying AI features effectively.
We think you need these skills to ace LLM Engineer - 12 month contract - Fully remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong Python engineering background and any relevant experience with large language models. Include specific projects or roles where you've worked with tools like Hugging Face, OpenAI, or LangChain.
Showcase Relevant Skills: In your application, emphasise your experience with model fine-tuning, RAG pipelines, and vector databases such as FAISS or Pinecone. Mention any cloud services you’ve used, like AWS or GCP, and your familiarity with CI/CD and Docker.
Include a Cover Letter: Write a concise cover letter that explains why you're interested in the role and how your skills align with the job requirements. Highlight any bonus skills, such as knowledge of model optimization or contributions to open-source projects.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Opus Recruitment Solutions
✨Showcase Your Python Skills
Make sure to highlight your strong Python engineering background during the interview. Be prepared to discuss specific projects where you've used Python, especially in relation to AI and LLMs.
✨Demonstrate LLM Experience
Familiarise yourself with the large language models mentioned in the job description, such as Hugging Face and OpenAI. Be ready to discuss your experience with fine-tuning and integrating these models into real-world applications.
✨Discuss Cloud and CI/CD Knowledge
Since cloud platforms like AWS or GCP are essential for this role, be prepared to talk about your experience with these technologies. Discuss any CI/CD practices you’ve implemented, as well as your familiarity with Docker.
✨Prepare for Technical Questions
Expect technical questions related to model fine-tuning, RAG pipelines, and vector databases like FAISS or Pinecone. Brush up on these topics and be ready to explain your thought process and problem-solving approach.