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
