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Parkside

Senior AI Engineer

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Summary

Senior AI Engineer at Parkside in West London (onsite) who designs and ships NLP and ML models into production SaaS. Day-to-day work centers on LLMs (RAG, fine-tuning, evaluation, monitoring), Python APIs, frameworks like PyTorch/Hugging Face, and AWS-based distributed systems and data pipelines.

Salary: £100,000 - 150,000 per year

Requirements:
  • 5+ years of experience as an AI/ML engineer delivering NLP and ML models into production SaaS
  • Production experience with LLMs, including RAG, fine-tuning, evaluation, and monitoring
  • Strong Python skills, including building APIs and integrating models into applications
  • Experience with NLP frameworks such as Hugging Face Transformers, PyTorch, spaCy, or TensorFlow
  • Experience with AWS and distributed systems
  • Experience building data pipelines and orchestration for model training and evaluation
  • Applicants must already hold the full right to work in the UK; we are unable to provide visa sponsorship
  • Nice to have: experience in legal tech or another document-heavy domain
  • Nice to have: experience with vector databases and semantic search, such as OpenSearch, Pinecone, or FAISS
  • Nice to have: experience with explainability and compliance for deployed AI
  • Nice to have: knowledge of React or TypeScript
Responsibilities:
  • Lead development of AI features in our core product in 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, including ECS, Lambda, and S3
  • Build data pipelines for training and evaluation using PostgreSQL, Redis, and OpenSearch
  • Work with engineering, product, and QA in Scrum squads, with CI/CD and infrastructure as code already in place
Technologies:
  • AI
  • AWS
  • Lambda
  • OpenSearch
  • CI/CD
  • CTO
  • Fine-tuning
  • Model Serving
  • Model Training
  • PostgreSQL
  • PyTorch
  • Python
  • RAG
  • React
  • Redis
  • TensorFlow
  • Cloud
  • LLM
  • TypeScript

More:

We are an early-stage legal tech SaaS business whose platform automates document-heavy legal workflows for law firms and institutional clients. We have product-market fit, a growing customer base, and a lean engineering team. This permanent role reports to our CTO and is hybrid or remote.

last updated 41 week of 2026

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