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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