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# Senior AI Engineer

- **Company:** Parkside
- **Location:** London, UK (Remote available)
- **Experience:** Expert
- **Salary:** £100,000.0 - £150,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Software as a Service, Continuous Integration, Distributed Systems, Python (Programming Language), PostgreSQL, Machine Learning, Performance Tuning, Scrum Methodology, Redis, Tensorflow, Search Technologies, Systems Integration, TypeScript, Pinecone, Pytorch, ReactJS, Retrieval-Augmented Generation, Large Language Models, Build Management, HuggingFace, FAISS, Api Design, Spacy, Data Pipelines, OpenSearch
- **Published:** October 8, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=3010811051-2

## About the Role

5+ years as an AI/ML engineer delivering NLP and ML models into production SaaS

 - Production LLM experience: RAG, fine-tuning, evaluation, monitoring
 - Strong Python, including building APIs and integrating models into applications
 - NLP frameworks such as Hugging Face Transformers, PyTorch, spaCy or TensorFlow
 - AWS and distributed systems
 - Data pipelines and orchestration for model training and evaluation

Nice to have

 - Legal tech or another document-heavy domain
 - Vector databases and semantic search (OpenSearch, Pinecone, FAISS)
 - Explainability and compliance work on deployed AI
 - Knows React or TypeScript

Right to work
No visa sponsorship is available. Applicants must already hold the full right to work in the UK.

## Description

You will lead the development of AI features in the core product. This is a hands-on role.

 - Design and build ML models for document parsing, search, classification and summarisation
 - Integrate LLMs into product workflows with guardrails, evaluation and monitoring
 - Optimise model serving and inference for latency and cost on AWS (ECS, Lambda, S3)
 - Build data pipelines for training and evaluation (PostgreSQL, Redis, OpenSearch)
 - Work with engineering, product and QA in Scrum squads, with CI/CD and infrastructure as code already in place