AI Engineer

AI Engineer - Job Description
📍 Position SummaryOur client's AI & Data function focuses on helping organisations solve complex business challenges through the effective use of data, artificial intelligence, and modern technology platforms.The team delivers end-to-end, business-driven solutions that integrate data, technology, and processes across organisations and their wider ecosystems, including partners, suppliers, and customers.The focus is on creating scalable, high-quality, and governed solutions that enable better decision-making, operational efficiency, and digital transformation.
🚀 The OpportunityAs an AI Engineer, you will work at the intersection of data, engineering, and artificial intelligence to build practical, scalable solutions that deliver real business value.You'll collaborate with cross-functional teams to design, develop, and deploy data pipelines, machine learning models, and AI-enabled applications that support analytics, automation, and insight generation.This role suits someone who enjoys:

Working with modern data and AI technologies
Delivering clean, reliable, production-ready solutions
Translating business needs into technical outcomes🔧 Key ResponsibilitiesData Engineering & Development

Design, build, and maintain scalable data pipelines, datasets, and data models
Support analytics, reporting, and AI-driven use cases
Work with both structured and unstructured data sourcesAI & Machine Learning

Develop and deploy machine learning models for:
Prediction
Classification
Automation
Insight generation
Support the full life cycle from experimentation through to productionGenerative AI & LLM Applications

Develop AI-powered solutions using large language models (LLMs)
Apply prompt engineering and context engineering techniques
Build use cases such as:
Chatbots
Document processing
AI copilots
Workflow automationData Integration & Quality

Integrate data from multiple internal and external sources
Ensure data quality, consistency, and reliability across platformsCollaboration & Stakeholder Engagement

Work closely with:
Business Analysts
Data Analysts
Product teams
Translate business requirements into scalable technical solutions
Communicate technical concepts clearly to non-technical stakeholdersTesting, Monitoring & Optimisation

Implement testing, validation, and monitoring processes
Ensure:
Data accuracy
Model performance
System reliability
Optimise pipelines, storage, and models for performance and scalabilityDocumentation & Governance

Produce clear technical documentation (pipelines, models, logic)
Follow best practices around:
Data governance
Security
Privacy
Compliance🧠 Skills & ExperienceEssential

Experience in a similar role (AI Engineer, Data Engineer, Machine Learning Engineer, or Data Developer)
Strong programming skills (Python, SQL or similar)
Experience building and maintaining data pipelines
Working with structured and unstructured dataDesirable

Experience with machine learning frameworks (e.g. TensorFlow, PyTorch, scikit-learn)
Exposure to Generative AI tools/frameworks (e.g. LLMs, LangChain)
Experience with cloud platforms (Azure, AWS, or GCP)
Familiarity with data platforms, data warehouses, or big data technologiesSoft Skills

Strong analytical and problem-solving ability
Attention to detail and commitment to quality
Ability to communicate technical ideas effectively
Experience working in Agile environments🔐 Additional Requirements

Candidates may be required to undergo background checks or security clearance depending on client/project requirements.🌍 About the TeamYou'll be working within a collaborative technology and data environment focused on delivering transformation for clients across multiple industries.The team combines deep technical expertise with innovative thinking to help organisations modernise their data and AI capabilities, unlock value, and improve outcomes for customers, employees, and stakeholders.

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