AI Engineer – Contract Role

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

Job summary

A leading technology recruitment firm is seeking an AI Engineer for a 12-month contract role focused on building cutting-edge AI and ML solutions for a global media client. The successful candidate will work on AI-driven pipelines, integrate existing models, and optimize backend systems using Python. Strong experience in Machine Learning and Software Engineering is essential. This position is remote for UK-based candidates and offers competitive daily rates.

Qualifications

• Strong background in Machine Learning, Information Retrieval, and Software Engineering.
• Hands-on experience integrating AI models and building scalable systems.
• Experience with content-heavy data, especially video.

Responsibilities

• Design and implement AI-driven pipelines for video content analysis.
• Evaluate and integrate existing AI models.
• Develop search indexing and retrieval systems for video content.
• Build and optimize backend processing systems using Python.
• Deploy solutions on AWS/GCP cloud infrastructure.
• Work with vector databases for search.
• Apply ML Ops best practices and containerization.

Skills

Machine Learning

Software Engineering

Information Retrieval

Python

Communication Skills

Tools

AWS

Google Cloud

Docker

Kubernetes

PyTorch

Hugging Face

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.