AI/ML Engineer
Primary stack
Nice to have's
Job description
About the Position
This is a hands-on AI/ML engineering role. Your primary focus will be productionising Generative AI and agentic systems.
We usually respond within a week.
Responsibilities
Delivery & Engineering
- Design and build robust, secure APIs and backend components that power AI/ML, GenAI and agentic applications.
- Engineer agentic systems-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.
Collaboration & Partnership
- Act as the 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.
Technical Leadership & Enablement
- 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.
Requirements
Education
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.
Essential Experience & Skills
- Exceptionally strong Python programming skills, with a deep grasp of object-oriented design, clean code, and core software engineering principles (e.g. SOLID, design patterns, modularity, testability).
- Strong backend / API engineering experience, ideally in Python (e.g. 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-tool use, orchestration, multi-step reasoning, or agent frameworks (e.g. LangGraph, LangChain, CrewAI, AutoGen, or similar).
- Experience with GenAI / LLM systems in a production context (RAG, prompt orchestration, evaluation, guardrails, cost/latency optimisation).
- Exposure to MCP (Model Context Protocol) and tool-based / function-calling architectures.
- Experience deploying and operating machine learning models / MLOps pipelines (e.g. model serving, monitoring, retraining workflows).
- Experience with real-time / streaming systems.
We Offer
- Competitive salary and company bonus scheme
- Group pension scheme
- Group healthcare and life assurance scheme
- Hybrid working environment (currently one day 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 (ability to buy additional medical cover, life assurance, dental cover, holiday, critical illness, travel insurance & health screening)
- Extensive internal and external training
About the Company
Argus is the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets.
Headquartered in London with 1,500 staff, Argus is an independent media organisation with 32 offices in the world’s principal commodity trading hubs.
Companies, trading firms and governments in 160 countries around the world trust Argus data to make decisions, analyse situations, manage risk, facilitate trading and for long-term planning. Argus prices are used as trusted benchmarks around the world for pricing transportation, commodities and energy.
Founded in 1970, Argus remains a privately held UK-registered company owned by employee shareholders and global growth equity firm General Atlantic.
© Argus. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Argus is a fast-growing global B2B media company providing essential information on commodity markets. As a business, we continue to grow and evolve, adding new markets, new services, new delivery options and improved analytical tools.About Argus MediaArgus is an independent media organisation with more than 1050 staff. It is headquartered in London and has 23 offices in the world’s principal commodity trading and production centres. Argus produces price assessments and analysis of international energy and other commodity markets, and also offers bespoke consulting services and industry leading conferences.Companies in 140 countries around the world use Argus data to index physical trade and as benchmarks in financial derivative markets as well as for analysis and planning purposes. Half of Argus employees are commodity journalists who specialise in reporting news and price information relating to physical energy and related commodity markets. They operate according to a rigorous Editorial Code of Conduct and a Compliance and Ethics Policy that align with best journalistic practice, including the avoidance of conflicts of interest. Argus was founded in 1970 and is a privately held UK-registered company. It is owned by staff shareholders and global growth equity firm General Atlantic.
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