We are seeking a Senior LLM and AI Engineer to design and deliver an LLM and AI engineering project using AWS Bedrock and agents for a renowned Gambling customer. The ideal candidate will have strong experience with LLMs and AI engineering, hands-on with AWS Bedrock, and solid Python skills. The role requires collaboration with existing team members and the ability to help design and deliver an AI chat moderator.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Rapidly growing Digital Transformation Consultancy requires a Data Scientist contractor immediately. It will be on an Outside IR35 fully-remote contract basis to help design and deliver an LLM and AI engineering project, using AWS Bedrock and agents, to a renowned Gambling customer.
Contract Details:
- Start Date: Ideally immediately but by no later than Monday 13th April 2026.
- Duration: 3 months initially (extension likely).
- Determination: OUTSIDE IR35.
- Base: Fully Remote.
- Day Rate: £475 per day.
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Project Scope:
- LLM / AI engineering to build AI chat moderation capabilities, not traditional statistics -only DS.
- Support existing team members who are already strong in ML/AI engineering.
- Help design and deliver an AI chat moderator using AWS Bedrock and agents.
Core Skills needed:
- Strong experience with LLMs and AI engineering (LLM engineer / AI engineer).
- Hands-on with AWS Bedrock, including: Working with multiple foundation models; Setting up and configuring Bedrock Agents / Agent Core.
- Experience implementing LLM-based applications in production (chat, moderation, or similar).
- Solid Python for prototyping and productionising LLM workflows.
- Good understanding of prompt engineering and guardrails / moderation approaches.
- Familiarity with integrating LLM services into existing applications (APIs, event flows).
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Desirable skills:
- Experience with chat systems or real-time moderation.
- Knowledge of basic statistics/ML to collaborate with traditional data scientists.
- Exposure to AWS architecture patterns (microservices, security, observability).
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