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For Companies At a Glance
- Tasks: Join a dynamic team to develop GenAI tools for document understanding and intelligent search.
- Company: Work with a forward-thinking company at the forefront of AI technology.
- Benefits: Enjoy a competitive day rate of £450 and hybrid working options in London.
- Why this job: Be part of an agile team making a real impact in AI development and innovation.
- Qualifications: Strong Python skills and experience with LLM fine-tuning are essential.
- Other info: Flexible start date in August; contract duration is 3-6 months.
The predicted salary is between 36000 - 54000 £ per year.
Job Description
?? Contract LLM Engineer – £450/day – Hybrid (London)?? Location: Hybrid – 2 days/week in Central London?? Day Rate: £450/day (Outside IR35)?? Duration: 3–6 months?? Start Date: August (flexible)?? About the RoleWe’re looking for a contract LLM Engineer to support the development of GenAI-powered tools for document understanding, summarisation, and intelligent search. You’ll be working with a small, agile team focused on deploying open-source models into production environments.?? Key Responsibilities
- Fine-tune and evaluate LLMs for domain-specific tasks
- Build and optimise RAG pipelines using vector databases
- Develop prompt engineering strategies and orchestration flows
- Integrate models into backend services via APIs
- Implement evaluation frameworks for response quality and reliability
?? Essential Skills
- Strong Python skills and experience with Hugging Face Transformers
- Familiarity with LLM fine-tuning and inference optimisation
- Experience with vector search and embeddings (e.g. FAISS, Pinecone)
- Understanding of prompt engineering and few-shot learning
- Ability to work independently in a hybrid, agile environment
? Nice to Have
- Experience with LangChain, LlamaIndex, or similar orchestration tools
- Exposure to cloud platforms (AWS/GCP) and containerisation (Docker)
- Familiarity with NLP evaluation metrics and safety frameworks
Contract LLM engineer employer: Opus Recruitment Solutions Ltd
Contact Detail:
Opus Recruitment Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Contract LLM engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in LLMs and GenAI tools. Being able to discuss recent developments or trends during your conversations can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the AI and machine learning community. Attend meetups, webinars, or conferences where you can connect with others who work in similar roles, as they might provide insights or even referrals for opportunities.
✨Tip Number 3
Showcase your practical experience by working on personal projects or contributing to open-source initiatives related to LLMs. This hands-on experience can be a great talking point during interviews and can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific examples of how you've implemented prompt engineering strategies or optimised LLMs in past projects. Having concrete examples ready will help you illustrate your skills effectively during discussions.
We think you need these skills to ace Contract LLM engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong Python skills and experience with Hugging Face Transformers. Include specific projects or roles where you've fine-tuned LLMs or worked with vector databases.
Craft a Compelling Cover Letter: In your cover letter, emphasise your familiarity with LLM fine-tuning and inference optimisation. Mention any relevant experience with prompt engineering and how you can contribute to the development of GenAI-powered tools.
Showcase Relevant Projects: If you have experience with LangChain, LlamaIndex, or similar orchestration tools, be sure to include these in your application. Highlight any projects that demonstrate your ability to work independently in a hybrid, agile environment.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or typos. A polished application reflects your attention to detail, which is crucial for the role of an LLM Engineer.
How to prepare for a job interview at Opus Recruitment Solutions Ltd
✨Showcase Your Technical Skills
Make sure to highlight your strong Python skills and experience with Hugging Face Transformers during the interview. Be prepared to discuss specific projects where you've fine-tuned LLMs or optimised inference, as this will demonstrate your hands-on expertise.
✨Understand the Role's Key Responsibilities
Familiarise yourself with the key responsibilities outlined in the job description. Be ready to discuss how you would approach building and optimising RAG pipelines, as well as your strategies for prompt engineering and integrating models into backend services.
✨Prepare for Technical Questions
Expect technical questions related to vector search, embeddings, and evaluation frameworks. Brush up on your knowledge of tools like FAISS and Pinecone, and be ready to explain how you would implement evaluation metrics for response quality.
✨Demonstrate Your Adaptability
Since the role requires working independently in a hybrid, agile environment, share examples of how you've successfully adapted to similar work settings. Highlight your ability to collaborate with small teams and manage your time effectively while working remotely.
