About this role
Salary: £80,000 - 80,000 per year
Requirements: 4+ years experience in AI Engineering, Machine Learning Engineering, Data Science or a closely related role, with demonstrable experience delivering production systems.Strong proficiency in Python and Node.js/TypeScript, with experience developing both AI/ML models and backend services.Hands-on experience developing applications using Large Language Models (LLMs), including prompt engineering, structured outputs, tool calling, retrieval-augmented generation (RAG) and evaluation techniques.Experience with modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry or equivalent technologies.Strong understanding of software engineering best practices, including testing, code review, CI/CD, dependency and package management, and maintainable system design.Experience deploying and operating AI and machine learning services in production, including API-based architectures and cloud-hosted workloads.Practical experience with MLOps and AI lifecycle management, including data, model and environment versioning, automated deployment pipelines, monitoring and model retraining workflows.Experience leading complex technical projects from initial discovery and proof of concept through to production deployment and ongoing optimisation.Strong communication skills, with the ability to explain complex AI concepts, technical challenges and delivery considerations to both technical and non-technical stakeholders.A degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics or another relevant discipline, or equivalent practical experience. Responsibilities: Design, build and deploy production-grade AI solutions using modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry, working closely with stakeholders to identify high-value use cases across the business.Lead the development of scalable APIs and services to host AI and machine learning capabilities, managing the integration, maintenance and continuous improvement of workloads across Azure.Collaborate closely with Data Analysts, Data Engineers, QA Engineers, Software Developers and other Technology teams to deliver complex projects efficiently, adapting technical approaches to wider platform, product and business needs.Take ownership of AI initiatives from initial discovery and concept through proof of concept, production deployment and ongoing optimisation, with a strong focus on solving core business problems and delivering measurable value.Stay at the forefront of developments in generative AI, LLMs, agentic systems and machine learning, assessing emerging tools and techniques and translating their potential for both technical and non-technical audiences.Plan future initiatives and manage active projects through effective sprint planning, backlog prioritisation and ticket management using tools such as Jira.Communicate effectively with the Executive Board and senior stakeholders, clearly articulating technical challenges, proposed solutions, delivery risks, project timelines and key milestones.Champion best practices across software engineering, testing, observability, security, model evaluation and responsible AI, ensuring AI services are reliable, scalable and maintainable in production. Technologies: Agentic AIAIAPIAzureBackendCI/CDCloudJIRALLMMachine LearningMLOpsPythonRAGSecurityTypeScriptNodeJSSupport More:
We are Car Finance 247, a Manchester tech business and the UKs leading digital car finance platform, reshaping how people buy cars with smart technology and a customer-first approach. We offer a great working environment with subsidised onsite parking, free fruit and juice bars, a birthday off, an onsite gym, free transport to and from Piccadilly Train Station, a free barista bar serving teas and coffees, and excellent career progression. We are driven by our values of Passion, Ownership, Resilience and Togetherness, and we are looking for people who bring energy, accountability and teamwork as we continue to grow our ambitious roadmap.
last updated 31 week of 2026