Senior Python Engineer, ML

🕒 December 1, 2025

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Lawhive

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🏪 Marketplace

👥 B2C

Marketplace • B2C

Lawhive is an online platform that connects UK consumers and small businesses with licensed, vetted solicitors for a wide range of legal matters. It offers fixed-price, fully remote legal services with fast responses, price-beating guarantees, and a simple online process to find and engage solicitors for areas like family law, employment, property, wills & probate, and commercial issues. Lawhive positions itself as an affordable, convenient alternative to traditional high-street law firms by using technology to streamline matching and communication.

📋 Description

• Developing production-ready APIs and services that expose AI functionality to internal and external applications. • Improving reliability & monitoring for AI-driven applications in production. • Scaling AI systems to handle real-world legal use cases (e.g., legal document analysis, case predictions, automated legal advice). • Collaborating with AI engineers to ensure smooth deployment of AI workflows and models into production. • Working with event-driven architectures and async workflows to process large-scale AI workloads efficiently. • Ensuring security & compliance in AI-driven legal services.

🎯 Requirements

• Strong Python experience in building scalable backend systems. • Familiarity with API design & distributed systems architecture. • Experience working with event-driven architectures (e.g. Kafka, Pub/Sub, AWS Step Functions, etc.). • Experience working with cloud platforms (AWS, GCP etc). • Understanding of best practices in observability, monitoring, and debugging. • LLM Observability & Evaluation – familiarity with tools such as Langfuse for monitoring model generations, managing prompts, and measuring quality in production. • Comfortable optimising performance & scaling distributed AI workloads and ML Ops experience. • Full-stack Typescript experience. • Hands-on work with vector databases, hybrid retrieval methods, and evaluation of retrieval quality. • Agentic & Orchestrated Systems – exposure to multi-step reasoning, agent frameworks, or orchestration tools (e.g. LangChain, AutoGen, Inngest, Temporal) where LLMs call tools, plan tasks, or coordinate workflows. • Experience working in collaboration with researchers so that new models, pipelines, or research outputs can be integrated and evolved iteratively. • Prior Experience in Legal Tech - understanding of the legal industry and experience working with legal technology solutions.

🏖️ Benefits

• Meaningful early-stage equity at one of Europe’s fastest growing startups • 33 days’ annual leave (25 + bank holidays) plus your birthday off • Pension contribution via Nest • 20% off legal fees through Lawhive • Top-spec equipment - MacBook/Windows • Regular team building activities and socials!