Senior AI Engineer
Parkside
London, UK
26 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
£100,000.0 - £150,000.0
Working hours
Regular working hours
Job source
Tech stack
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
+16 more
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
Job 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
Requirements
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.
About the company
An early-stage legal tech SaaS business. Its platform automates document-heavy legal workflows for law firms and institutional clients. It has product-market fit, a growing customer base and a lean engineering team.
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