About the Role
We’re looking for a Machine Learning Engineer to design, build, and optimise next-generation Conversational AI systems that power intelligent, human-like digital assistants across the public sector. This is a permanent position offering remote working and flexibility with occasional client visits, expenses covered.
Check out the role overview below If you are confident you have got the right skills and experience, apply today.
You’ll work on agentic AI workflows, fine-tune large language models, and ensure our systems are reliable, explainable, and secure - directly contributing to innovations that help government services run smarter and faster.
What You’ll Do
* Design & Build: Develop agentic AI workflows using frameworks like LangChain or LlamaIndex for complex, multi-step reasoning.
* Model Optimisation: Fine-tune LLMs to improve accuracy, reduce latency, and lower infrastructure costs.
* Evaluation & Reliability: Build robust model evaluation frameworks to ensure consistency across model and code changes.
* Core Engineering: Develop scalable backend services in Python 3 with Git, FastAPI, or Django REST Framework.
* Cloud Integration: Work with Google Vertex AI, Amazon Bedrock, and Azure AI to integrate foundation models and APIs.
* Contextual Retrieval: Use vector databases and retrieval systems to enhance contextual understanding.
* Collaboration: Partner with data scientists, engineers, and designers to continuously improve agent performance and reasoning.
Who You Are
You’re a hands-on engineer who’s excited by the intersection of AI, language, and systems engineering - someone who thrives in a collaborative, mission-driven environment.
You bring:
* Proven experience deploying machine learning models into production environments.
* Strong Python skills and experience with LLM frameworks (LangChain, LlamaIndex, HuggingFace Transformers).
* Knowledge of conversational AI platforms (Dialogflow, Lex, Rasa).
* Familiarity with TensorFlow, PyTorch, Keras, scikit-learn, and Pandas.
* Experience integrating with cloud-based AI services (AWS, Google Cloud, Azure).
* The ability to communicate complex technical concepts clearly and confidently.
Desirable (Not Essential)
* Experience with AI application interfaces (MCP protocol).
* Knowledge of multi-agent orchestration (LangGraph, AutoGen, CrewAI).
* Familiarity with AI safety and observability tools (TruLens, Helicone, Guardrails AI).
* Experience with Axolotl, LoRA, or QLoRA fine-tuning methods.
Why Join Us
* Work on cutting-edge AI systems that make a tangible difference in how public services are delivered.
* Fully remote, flexible culture.
* Contribute to meaningful projects in science, innovation, and technology.
* Rapid, 1-stage interview process — no bureaucracy, just great conversations.