AI Engineer

Certain Advantage are recruiting on behalf of our Trading client for an AI Engineer on a contract basis for 6-12 months initially in London. This will require some onsite days in Central London during the week.

We are seeking Engineers skilled in python with a strong focus on GenAI AI and LLMs to lead the integration of cutting-edge language technologies into real-world applications.

If you’re someone passionate about building scalable, responsible, and high-impact GenAI solutions then this could be for you!

We’re looking for Engineers offering competent core technical skills in Python Programming, Data Handling with NumPy, Pandas, SQL, and use of Git/GitHub for version control.

Any experience with these GenAI Use Cases would be relevant and desirable; Chatbots, copilots, document summarisation, Q&A, content generation.

To help make your application as relevant as possible, please ensure your CV demonstrates any prior experience you have relating to the below;

System Integration & Deployment

Model Deployment: Flask, FastAPI, MLflow

Model Serving: Triton Inference Server, Hugging Face Inference Endpoints

API Integration: OpenAI, Anthropic, Cohere, Mistral APIs

LLM Frameworks: LangChain, LlamaIndex – for building LLM-powered applications

Vector Databases: FAISS, Weaviate, Pinecone, Qdrant (Nice-to-Have)

Retrieval-Augmented Generation (RAG): Experience building hybrid systems combining LLMs with enterprise dataMLOps & Infrastructure

MLOps: Model versioning, monitoring, logging

Bias Detection & Mitigation

Content Filtering & Moderation

Explainability & Transparency

LLM Safety & Guardrails: Hallucination mitigation, prompt validation, safety layers

Azure Cloud Experience

Collaboration & Delivery

Cross-functional Collaboration: Working with software engineers, DevOps, and product teams

Rapid Prototyping: Building and deploying MVPs

Understanding of ML & LLM Techniques: To support integration, scaling, and responsible deployment

Prompt Engineering: Designing and optimising prompts for LLMs across use cases

Model Evaluation & Monitoring

Evaluation Metrics: Perplexity, relevance, response quality, user satisfaction

Monitoring in Production: Drift detection, performance degradation, logging outputs

Evaluation Pipelines: Automating metric tracking via MLflow or custom dashboards

A/B Testing: Experience evaluating GenAI features in production environments

Does this sound like your next career move? Apply today!

Working with Certain Advantage

We go the extra mile to find the best people for the job. If you’re hunting for a role where you can make an impact and grow your career, we’ll work with you to find it.

We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering.

If this job isn’t for you, head to (url removed) and register for job alerts and career guidance tips