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Data and AI Engineer- Defence

Positiv Cohort Ltd
Stevenage
1 week ago
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Our customer is looking for a Data and AI Engineer in the defence sector.

Role:

Undertake stocktake of current AI initiatives across Engineering UK including assessment of customer tools and infrastructure already available to determine suitability of applications for executing Systems Engineering identified use-cases.

In doing so, ensure engagement of stakeholders involved in the following activities:

External paper / conference / internet assessment of use of AI in the context of Systems Engineering and MBSE specifically to determine if any other suitable tools currently not employed by the customer are available
Undertake Proof of Concept investigations to perform the selected use cases. This will be the main activity and may involve exploitation of tools and infrastructure already within the customer, or may involve the testing of a third party tool. Use Cases are:
Using Generative AI to produce Design Verification Plans (DVPs)
AI Generated Reference Requirements
Identification of Challenging Customer and Project Requirements
Proof of concept activities include:
Define scope of engineering data - expectation is to start with systems artefacts (Requirements, Test Results other supporting documentation as appropriate)
Scope engineering data model approach and capture mechanism in more detail
Undertake incremental definition, development and review of NLP Generative AI engineering data model as proof of concept, initially tailored to specific Systems Engineering use cases
Ensure underlying data model compliance with customer IM and InfoSec policies
Formalise, establish governance, deploy such that the proof of concept can be used practically to derive harmonisation and consistency into programmes in areas such as requirement definition and Verification & Validation activities
Data Model Conclusion/Review and Decision to proceed to full deployment

Outputs:

Requirements (if external solution) or outline design solution (if internal solution) to be fulfilled by candidate AI solutions
Down-select decision review to determine most appropriate toolsets to employ to realise Systems Engineering Use Cases follow internal/external tool assessment
Deployment plan and pilot project deployment strategy for implementation of a Generative AI solution using natural language processing (NLP)
Incremental delivery of engineering data model - output at end of offload initial 6 month contract should cover systems engineering use cases as identified above
Report to summarise delivery of the above - Toolset Capability Assessment, Generative AI Requirements, Down-select Justification, Summary of PoC data model design and deployment activities

COMPETITIVE RATES OUTSIDE IR-35

Requirements

Skills:

A strong understanding of the concepts, benefits, ontology, taxonomy and applications of AI
Experience of exploring and deploying AI to support productivity improvements in the engineering domain would be an advantage
Good experience of container management and orchestration platforms to deploy, scale and manage containerised applications is required. Direct experience of Rancher, Kubernetes or Docker would be beneficial
Experience of data manipulation and visualisation techniques such as Power BI or Google Analytics' Looker Studio
AI tool development skills are not necessary but some ability to code APIs to interact with Large Language Models using Python / R or other languages is required
A strong engineering background, ideally with experience in systems engineering. Defence engineering experience is desirable
Ability to work autonomously and comfortable with loosely defined packages of work with low levels of supervision

Seniority level

Seniority level Entry level
Employment type

Employment type Contract
Job function

Industries IT Services and IT Consulting
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