ASOS

3 weeks ago

Senior AI / LLM Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 49 minutes agoStatus: Live

Job Summary

Design and industrialise core LLM capabilities that power ASOS experiences at real scale. Build reusable, production-grade AI platforms for teams across the business—covering RAG, fine-tuning, agentic workflows, evaluation/observability, and AI safety guardrails. Scale solutions on the Azure AI stack, optimize for performance and cost, and partner with Trust & Security to embed risk controls by design.

Location: London

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Design and build LLM-powered systems, including RAG, fine-tuning, tool use, and multi-agent orchestration.
•Develop agentic workflows for automation, reasoning, and conversational experiences.
•Create reusable AI infrastructure, including prompt orchestration layers, vector search/retrieval pipelines, and evaluation/observability frameworks.
•Design and implement LLM evaluation frameworks (offline and online) and AI safety guardrails (hallucination control, filtering, explainability).
•Partner with Trust & Security to embed AI risk controls by design and optimize systems for performance, cost, and reliability.

Pay and Benefits

Perks:Employee DiscountSample SalesPaid AnnualAnnual BonusPrivate MedicalLearning BudgetFlexible Benefits

Key Requirements

•Strong hands-on experience with the Azure AI ecosystem, including Azure OpenAI, Azure AI Studio, and Azure Machine Learning.
•Experience building and running production-grade AI systems on cloud infrastructure, including APIs and event-driven architectures (e.g., AKS).
•Proficiency in Python with experience across modern AI frameworks such as Semantic Kernel and LangChain.
•Deep understanding of LLMs and transformer-based models, including embeddings, tokenisation, and context management.
•Experience designing and optimising LLM-powered systems, including end-to-end RAG pipelines and evaluation frameworks.

Skills:Systems thinkingAbstraction capabilityOperating in ambiguityBalancing innovation and productionResponsible AI mindset

Languages:English

Tech Stack:Azure AIAzure OpenAIAzure AI StudioAzure Machine LearningCognitive ServicesAzure AI stackAzure MLPythonSemantic KernelLangChainLLMsTransformer-based modelsEmbeddingsTokenisationContext managementRAGFine-tuningStructured promptingVector searchMulti-agent orchestration

Company Brief

ASOS

ASOS plc is a UK-based online fashion and beauty retailer selling thousands of branded and own-label products worldwide through its e-commerce platform, targeting young adult customers with fast-fashion, marketplace third-party brands, and integrated logistics and marketing services.

Industry: E-commerce

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 2000

Glassdoor: 3.4

Website LinkedIn Glassdoor

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ASOS

3 weeks ago

Senior AI / LLM Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 49 minutes agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time · Permanent

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Design and build LLM-powered systems, including RAG, fine-tuning, tool use, and multi-agent orchestration.
•Develop agentic workflows for automation, reasoning, and conversational experiences.
•Create reusable AI infrastructure, including prompt orchestration layers, vector search/retrieval pipelines, and evaluation/observability frameworks.
•Design and implement LLM evaluation frameworks (offline and online) and AI safety guardrails (hallucination control, filtering, explainability).
•Partner with Trust & Security to embed AI risk controls by design and optimize systems for performance, cost, and reliability.

Pay and Benefits

Perks:Employee DiscountSample SalesPaid AnnualAnnual BonusPrivate MedicalLearning BudgetFlexible Benefits

Key Requirements

•Strong hands-on experience with the Azure AI ecosystem, including Azure OpenAI, Azure AI Studio, and Azure Machine Learning.
•Experience building and running production-grade AI systems on cloud infrastructure, including APIs and event-driven architectures (e.g., AKS).
•Proficiency in Python with experience across modern AI frameworks such as Semantic Kernel and LangChain.
•Deep understanding of LLMs and transformer-based models, including embeddings, tokenisation, and context management.
•Experience designing and optimising LLM-powered systems, including end-to-end RAG pipelines and evaluation frameworks.

Skills:Systems thinkingAbstraction capabilityOperating in ambiguityBalancing innovation and productionResponsible AI mindset

Languages:English

Company Brief

ASOS

Industry: E-commerce

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 2000

Glassdoor: 3.4

Website LinkedIn Glassdoor