AI Engineer – Contract Role

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

Job summary

A global technology recruitment firm is seeking an AI Engineer for a 12-month contract to work on cutting-edge AI and ML projects in the media industry. The role involves designing AI-driven pipelines, integrating existing AI models, and deploying solutions on cloud infrastructure. Ideal candidates will have a strong background in machine learning and software engineering, particularly using Python. This is a fully remote role for candidates based in the UK.

Qualifications

• 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.

Responsibilities

• Design and implement AI-driven pipelines for video content analysis.
• Evaluate and integrate existing AI models (e.g., Google Vertex AI).
• Develop search indexing and retrieval systems for large-scale video content.
• Build and optimize backend processing systems using Python.
• Deploy solutions on AWS / GCP cloud infrastructure.

Skills

Machine Learning

Information Retrieval

Software Engineering

Python

Communication

Tools

AWS

Google Cloud

Docker

Kubernetes

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.