Senior AI/ML Engineer

Salary: £43,000 - 83,000 per year

Requirements:

• A degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or a related technical discipline, or equivalent hands-on experience.
• An MSc or PhD is welcome but not essential.
• Exceptionally strong Python programming skills, with a deep grasp of object-oriented design, clean code, and core software engineering principles such as SOLID, design patterns, modularity, and testability.
• Strong backend and API engineering experience, ideally in Python such as FastAPI or similar.
• Hands-on experience building and operating solutions in AWS environments.
• Proficiency with Docker, GitHub, and CI/CD pipelines.
• Proven ability to partner with and work across teams to drive delivery into production.
• Strong problem-solving, debugging, and performance optimisation skills.
• Solid software engineering foundations, including version control, automated testing, and monitoring.
• Desirable: experience building or productionising agentic AI systems, including tool use, orchestration, multi-step reasoning, or agent frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar.
• Desirable: experience with GenAI and LLM systems in a production context, including RAG, prompt orchestration, evaluation, guardrails, and cost/latency optimisation.
• Desirable: exposure to MCP and tool-based or function-calling architectures.
• Desirable: experience deploying and operating machine learning models and MLOps pipelines, including model serving, monitoring, and retraining workflows.
• Desirable: experience with real-time or streaming systems.

Responsibilities:

• Design and build robust, secure APIs and backend components that power AI/ML, GenAI, and agentic applications.
• Engineer agentic systems by integrating LLMs with tools, data sources, and business workflows into reliable, production-grade pipelines.
• Drive systems from prototype to production, owning reliability, scalability, and operational readiness.
• Raise code quality, structure, and production readiness across the AI/ML stack.
• Debug and resolve issues across APIs, environments, and integrations, ensuring rapid response times and minimal disruption.
• Act as the primary technical partner between Data Science and the Engineering, DevOps, and Infrastructure teams, taking solutions from development through to live deployment.
• Advise and support colleagues across the business whose systems integrate with AI/ML and agentic components.
• Proactively resolve technical ambiguity to reduce delivery friction and rework, ensuring a smooth handover from prototype to production.
• Establish and evolve engineering standards for productionising AI/ML, including testing, observability, versioning, and release management.
• Mentor and guide data scientists and engineers, providing code reviews and hands-on technical support.
• Champion a culture of disciplined engineering, continuous improvement, and operational excellence within Data Science.

Technologies:

• Agentic AI
• AI
• API
• AWS
• Backend
• CI/CD
• DevOps
• Docker
• FastAPI
• GitHub
• Support
• LLM
• Machine Learning
• MCP
• MLOps
• Model Serving
• Python
• RAG
• Cloud

More:

We are a rapidly growing, award-winning business offering a dynamic environment for talented, entrepreneurial professionals to achieve results and grow their careers. We recognize and reward successful performance and, as an Investor in People, we promote professional development and retain a high-performing team committed to building our success. We offer a competitive salary and company bonus scheme, group pension scheme, group healthcare and life assurance scheme, hybrid working environment currently three days in office, 25 days annual holiday with incremental increase up to 30 days, subsidised gym membership, season ticket travel loan, cycle to work scheme, flexible benefits platform with the ability to buy additional medical cover, life assurance, dental cover, holiday, critical illness, travel insurance and health screening, plus extensive internal and external training.

last updated 34 week of 2026