AI/ML Engineer

Argus Media group; Greater London; Hybrid; GBP 43,000 - 83,000; Full time

Benefits offered by this job

Hybrid working

Group pension

Health insurance

Life assurance

Gym membership subsidy

Season-ticket travel loan

Cycle-to-work

Bonus scheme

Training and development

Job summary

Argus Media group is seeking an experienced AI/ML backend engineer to design secure APIs and production‑grade pipelines for agentic applications. You will integrate LLMs with tools and data sources, driving prototypes to reliable production systems within our Data Science team.

The role emphasizes strong Python, AWS, Docker, and CI/CD expertise, plus collaboration across Data Science, Engineering and DevOps to ensure scalable, observable systems.

Qualifications

• Degree in Computer Science, AI, ML, Software Eng, Data Science or equivalent hands-on exp; MSc/PhD welcome but not essential.
• Exceptional Python skills with OOP, clean code and SOLID design principles.
• Strong backend and API engineering experience, ideally with Python frameworks such as FastAPI.
• Hands-on AWS experience; proficiency with Docker, GitHub and CI/CD pipelines.
• Proven ability to work across teams and drive delivery into production.
• Desirable: experience with agentic AI, GenAI/LLM, tooling orchestration and MLOps.
• Desirable: exposure to real-time or streaming systems.

Responsibilities

• Design and build robust, secure APIs and backend components powering AI/ML and agentic apps.
• Engineer agentic systems by integrating LLMs with tools, data sources, and workflows.
• Take systems from prototype to production with reliability and scalability.
• Improve code quality and production readiness across the AI/ML stack.
• Debug and resolve issues across APIs, environments, and integrations to support rapid delivery.
• Partner with Data Science, Engineering, DevOps and Infrastructure teams to deploy solutions.
• Mentor data scientists and engineers through code reviews and hands-on support.
• Promote disciplined engineering and operational excellence within Data Science.

Skills

Python

Backend development

API design

Team collaboration

Problem solving

Testing & monitoring

Education

Bachelor's degree in CS/related field

Tools

AWS

Docker

GitHub

CI/CD pipelines

FastAPI

LangChain

MCP

Job description

Salary: £43,000 - 83,000 per year

Requirements

• 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, including object-oriented design, clean code, and software engineering principles such as SOLID, design patterns, modularity, and testability.
• Strong backend and API engineering experience, ideally with Python frameworks 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 work across teams and 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 production GenAI or LLM systems, including RAG, prompt orchestration, evaluation, guardrails, and cost or latency optimisation.
• Desirable: Exposure to MCP (Model Context Protocol) and tool-based or function-calling architectures.
• Desirable: Experience deploying and operating machine learning models or MLOps pipelines, such as 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.
• Take systems from prototype to production, owning reliability, scalability, and operational readiness.
• Improve code quality, structure, and production readiness across the AI/ML stack.
• Debug and resolve issues across APIs, environments, and integrations to support rapid response and minimise disruption.
• Partner with Data Science, Engineering, DevOps, and Infrastructure teams to take solutions from development through live deployment.
• Advise and support colleagues across the business whose systems integrate with AI/ML and agentic components.
• Resolve technical ambiguity proactively to reduce delivery friction and rework and ensure smooth handovers 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 through code reviews and hands‑on technical support.
• Promote disciplined engineering, continuous improvement, and operational excellence within our Data Science team.

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 Argus, a rapidly growing, award‑winning business. This hands‑on AI/ML engineering role sits within our Data Science team and focuses on taking AI/ML solutions, especially generative AI and agentic systems, from prototypes to reliable production systems. You will help set production‑readiness standards and bridge Data Science with our wider engineering organisation. We offer a dynamic environment for talented, entrepreneurial professionals to grow their careers, recognise and reward successful performance, and promote professional development as an Investor in People. Benefits include a competitive salary and company bonus scheme, group pension, group healthcare and life assurance, hybrid working (currently one day in the office), 25 days of annual holiday increasing incrementally up to 30 days, subsidised gym membership, a season‑ticket travel loan, a cycle‑to‑work scheme, a flexible benefits platform, and extensive internal and external training.

last updated 40 week of 2026