AI Implementation Engineer ( Data Science / ML Background)

Description:

AI Implementation Engineer ( Data Science / ML Background) 

Manchester | Hybrid (3 Days Office / 2 Days Remote)

A growing technology-led organisation is looking to appoint an AI Implementation Engineer to play a key role in driving AI adoption across the business.

This is an exciting opportunity for someone with a Data Science and Machine Learning background who has evolved into delivering production AI solutions. You'll combine expertise across AI, ML, LLMs, data engineering and enterprise infrastructure to design, develop and implement AI solutions that create genuine business value.

Working closely with IT, commercial stakeholders and operational teams, you will lead AI initiatives from strategy and proof of concept through to production deployment and business adoption. This is a highly collaborative role where you'll help shape the organisation's AI roadmap while remaining hands-on with the technology.

The business is investing heavily in AI and is looking for someone who can bridge the gap between technical capability and commercial outcomes, identifying opportunities, building scalable solutions and ensuring successful implementation across the organisation.

The Role

You'll be responsible for leading the full AI delivery lifecycle, including:

Defining AI strategy and identifying high-value business opportunities

Leading AI projects from proof of concept through to production deployment

Designing and developing AI and Machine Learning solutions using Azure and modern AI technologies

Building production-ready LLM applications, RAG pipelines and AI agents

Working closely with Data Engineering teams to prepare and integrate structured and unstructured data

Collaborating with Infrastructure teams to deploy secure, scalable AI solutions into enterprise environments

Embedding AI tools into operational workflows and driving user adoption across the business

Establishing monitoring, evaluation and governance frameworks for production AI environments

Measuring project success through business impact, automation gains and operational improvements

Providing technical leadership across AI initiatives while working closely with stakeholders at all levels

Required Experience

Essential

Strong commercial background in Data Science and Machine Learning

Experience designing and deploying production AI solutions

Strong knowledge of AI, Machine Learning and Large Language Models (LLMs)

Experience developing RAG solutions and AI agents

Excellent Python skills alongside modern AI/ML frameworks and SDKs

Experience with Azure AI services or another enterprise AI cloud platform

Strong understanding of Data Engineering concepts and working with structured and unstructured datasets

Experience deploying AI solutions into enterprise environments

Good understanding of IT Infrastructure including networking, security, APIs, Entra ID and cloud platforms

Experience integrating AI solutions with existing business systems

Ability to lead AI initiatives from strategy and proof of concept through to implementation

Excellent stakeholder management and communication skills, with the ability to work across technical and non-technical teams

Commercial mindset with the ability to identify opportunities where AI can deliver measurable business value

Desirable

Experience with LLMOps / GenAIOps and production monitoring frameworks

Knowledge of Azure Private Endpoints, VNets and secure AI deployment

Experience with workflow automation and AI orchestration

Experience helping establish or grow AI capability within an organisation

Background within operational, retail, automotive or customer-focused environments

About You

We're looking for someone who enjoys solving business problems through technology and has the confidence to lead AI initiatives from idea through to delivery.

You'll come from a Data Science or Machine Learning background but will also have developed strong capabilities across AI engineering, data engineering and enterprise infrastructure. Equally comfortable discussing strategy with senior stakeholders or building production AI solutions, you'll enjoy collaborating across teams and driving AI adoption throughout the business.

Salary & Benefits

Competitive salary depending on experience

Quarterly bonus scheme

Hybrid working (3 days office / 2 days remote)

Opportunity to shape the AI capability of a growing organisation

Long-term career progression and the chance to build a strategic AI function

Interested? Please Click Apply Now!

AI Implementation Engineer ( Data Science / ML Background)