Data and AI Engineer

Overview

We are seeking a talented Data and AI Engineer to join our team. As a Data and AI Engineer, you will undertake a comprehensive stock take of current AI initiatives across the UK, assess customer tools and infrastructure, and determine the suitability of applications for executing Systems Engineering identified use-cases.

Responsibilities

• Collaborate with stakeholders to understand and assess the use of AI in Systems Engineering and Model-Based Systems Engineering (MBSE).
• Conduct external assessments (papers, conferences, internet) to identify suitable AI tools not currently employed by the client.
• Undertake Proof of Concept (PoC) investigations for selected use cases, which may involve using existing customer tools or testing third-party tools.
• Use Generative AI to produce Design Verification Plans (DVPs) and AI-generated reference requirements.
• Identify challenging customer and project requirements.
• Define the scope of engineering data, starting with systems artefact's (requirements, test results, supporting documentation).
• Develop and review NLP Generative AI engineering data models tailored to specific Systems Engineering use cases.
• Ensure compliance with customer Information Management (IM) and Information Security (InfoSec) policies.
• Formalise, establish governance, and deploy PoC to derive harmonisation and consistency in requirement definition and Verification & Validation activities.
• Conclude and review the data model to decide on full deployment.

Essential skills

• Strong understanding of AI concepts, benefits, ontology, taxonomy, and applications.
• Experience in deploying AI to support productivity improvements in the engineering domain.
• Proficiency in container management and orchestration platforms (e.g., Rancher, Kubernetes, Docker).
• Experience with data manipulation and visualization tools (e.g., Power BI, Google Analytics’ Looker Studio).
• Ability to code APIs to interact with Large Language Models using Python, or other languages.

Experience

• Strong engineering background, ideally with systems engineering experience; defense engineering experience is desirable.
• Must hold or be eligible for UK SC clearance
• Working knowledge of Azure DevOps tools and practices.

Benefits

• Collaborative working environment – we stand shoulder to shoulder with our clients and our peers through good times and challenges  
• We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects   
• Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses  
• Competitive company benefits
• Always working as one team, our people are not afraid to think big and challenge the status quo 

• As a Disability Confident Committed Employer we have committed to:
• Ensure our recruitment process is inclusive and accessible
• Communicating and promoting vacancies
• Offering an interview to disabled people who meet the minimum criteria for the job
• Anticipating and providing reasonable adjustments as required
• Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people

“We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age”. 

We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive

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