AI Engineer – Contract Role

La Fosse Associates; Remote; GBP 80,000 - 100,000; Full time

Job summary

A leading recruitment agency seeks an AI Engineer for a contract role based in the UK. This position focuses on designing AI-driven pipelines for video content analysis and deploying solutions on cloud infrastructures like AWS and Google Cloud. The ideal candidate will have strong Machine Learning and Software Engineering skills, along with hands-on experience integrating AI models. This exciting opportunity requires excellent communication skills and offers competitive daily rates.

Qualifications

• Strong background in Machine Learning and Software Engineering required.
• Hands-on experience with AI model integration and scalable systems.
• Experience with video content is a plus.

Responsibilities

• Design AI-driven pipelines for video content analysis.
• Integrate existing AI models and develop processing systems.
• Deploy solutions on AWS and GCP infrastructures.

Skills

Machine Learning

Software Engineering

Information Retrieval

Communication

Tools

Python

AWS

GCP

Docker

Kubernetes

PyTorch

Hugging Face

LangChain

FAISS

Pinecone

Milvus

Weaviate

Job description

AI Engineer | Contract | 12 Months | Remote (from UK) | £750-775 / day Inside IR35

We have a new contract role for an AI Engineer focused on building cutting-edge AI and ML for a global client of ours in the media industry. This is a really exciting role to join on a long-term engagement as they look to kick off a new project.

Key Responsibilities

• Design and implement AI-driven pipelines for video content analysis and metadata extraction.
• Evaluate and integrate existing AI models (e.g., Google Vertex AI) rather than building from scratch.
• Develop search indexing and retrieval systems for large-scale video content.
• Build and optimize backend processing systems using Python (non-negotiable).
• Deploy solutions on AWS / GCP cloud infrastructure.
• Work with vector databases (FAISS, Pinecone, Milvus, Weaviate) for search.
• Apply ML Ops best practices, CI / CD workflows, and containerization (Docker / Kubernetes).
• Integrate foundation models (LLMs, vision models) via APIs and fine-tuning.

Tech Stack

• Python
• ML libraries : PyTorch, Hugging Face, LangChain
• Cloud platforms : AWS, Google Cloud, Vertex AI
• Vector databases : FAISS, Pinecone, Milvus, Weaviate
• Git, CI / CD, Docker / Kubernetes

Ideal Candidate

• Strong background in Machine Learning, Information Retrieval, and Software Engineering.
• Hands-on experience integrating AI models and building scalable systems.
• Comfortable working with content-heavy data (video experience is a plus).
• Excellent communication and stakeholder engagement skills.
• Bonus : Experience fine-tuning models and taking POCs to production.

If you are UK based and interested please apply directly.