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University of Warwick

Digital Twin & AI adoption Engineer (KTP Associate) (111768-0207)

Welshpool
£35.6k – £46.1k/yr
Posted 2 days ago
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Digital Twin & AI adoption Engineer (KTP Associate) (111768-0207)

About The Role

For informal queries, please contact Manikanta Ravi (Technology Transfer Engineer) at Manikanta.ravi@warwick.ac.uk

The Associate will be based at Welshpool, SY21 8SL and will manage and deliver an Innovate UK-awarded Knowledge Transfer Partnership (KTP) between WMG (Warwick Manufacturing Group) and CastAlum Ltd. The project focuses on Interconnected Foundry, aligned with Industry 4.0, enabling the development of bespoke modules within CastNet, a web-based Manufacturing Execution System (MES). This system will:

  • Capture and store data via sensors from the foundry
  • Support AI-driven decision support for manufacturing improvements, including:
    • Predictive Maintenance
    • Energy and Wastewater usage optimisation

This role is part of the Knowledge Transfer Partnership (KTP) initiative, funded by Innovate UK, supporting businesses to enhance competitiveness through better use of knowledge and skills.

Key Responsibilities:

Work collaboratively with WMG and the project supervisor at CastAlum Ltd as part of a dynamic engineering team. Key activities include:

  • Embedding new knowledge within the company via:
    • Training
    • Paired working
    • Creation of technical documentation
  • Receiving specialised technical and supervisory support from WMG to ensure CastAlum Ltd becomes an industry leader in world-class research-driven analysis.

About You

The Associate will bring specialist knowledge in Digital Maturity Assessments and:

  • Assess CastAlum’s current digital maturity, using standards such as ISO 23247
  • Facilitate productivity improvements via:
    • Sensor and equipment selection for data capture
    • Building a robust data architecture
    • Design of data pipelines for analysis
    • Implementation of business intelligence and visualisation tools
  • Work closely with the Innovation & Systems team, production staff, and senior management to:
    • Analyse and improve sexual maturity/technical capabilities
    • Enhance the CastNet system for:
      • AI-driven decision support for:
        • Energy and Wastewater management
        • Predictive maintenance for machining and tool repair

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For detailed eligibility criteria, please refer to the job description.


About The Department

CastAlum Ltd

  • An internationally acclaimed aluminium die casting and machining centre located in Welshpool, UK.
  • Since its inception (2000-2001), the company has grown from a single-customer enterprise producing die-cast aluminium parts to supplying a global market, using:
    • High-pressure die casting
    • Squeeze die casting
    • Advanced machining techniques
  • 90% export-led, supplying components to:
    • Automotive brands: VAG, BMW, Ford, General Motors, Fiat, Renault, Porsche, Mercedes, Jaguar Land Rover
    • Non-automotive industries

Warwick Manufacturing Group (WMG)

  • A strategic department of University of Warwick, delivering research & development in technology, manufacturing, and engineering.
  • Operates as part of the High-Value Manufacturing Catapult (HVMC)—collaborating with industries to commercialise innovation.
  • Features over 800 staff and nearly 3,000 students across undergraduate/postgraduate programmes.
  • Recognised globally for cutting-edge research, industry partnerships, and teaching quality.
    • Achievements include:
      • Athena SWAN Silver Award
      • Institutional Silver Award

About The University

  • A world-class research-intensive university, ranked 74th globally and 9th in the UK.
  • Committed to excellence, with 92% of its research rated world-leading or internationally excellent.

For more information, visit warwick.ac.uk/about.


How to Apply

  • Closing Deadline: Thursday, 30th July 2026 at 11:55 PM (UK Time).
  • Apply via warwick-careers.tal.net

Submission Requirements:

Submit the following two attachments:

  • CV
  • Cover Letter

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Applicants must:

  • Provide a clear employment and education history (including recent work).

  • demonstrate alignment with the essential and desirable criteria (as detailed in the job description),

  • Refer to career breaks (e.g., parental leave, caring responsibilities) if applicable.

  • Interviews: September 2026

  • Start Date: To be confirmed

  • All applications must be submitted by the deadline—submissions after this will not be accepted.


What We Offer

A comprehensive range of benefits, including:

  • Attractive pension scheme

  • 30 days' holiday per year, inclusive of University closures

  • Generous parental/adoption leave policy

  • Onsite childcare facilities

  • Excellent learning and development opportunities

  • Flexible working arrangements (where possible)

  • Hybrid working options (office and remote, where feasible)

  • Provided through role Ausstattung, in accordance with business needs.

  • We are a Living Wage employer.


Our Commitment to Inclusion

Warwick is committed to fostering a:

  • Diverse
  • Inclusive
  • Respectful community where everyone can thrive.

We actively encourage applications from all backgrounds, cultures, and communities, with a focus on promoting social inclusion.


Policies:

  • Safeguarding & DBS: Roles involving regulated activities require DBS checks.
  • Applicants do not need to disclose a conviction at interview stage.
    • For more on safeguarding policies, visit warwick.ac.uk/safeguarding.

Right to Work in the UK

This role is not eligible for sponsorship for a Skilled Worker visa. Applicants must confirm their legal right to work in the UK before applying. For further guidance, visit UK government immigration website.


Warwick is an international constituent of the EUTOPIA European University Alliance.

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Skills

Digital Maturity
Data Architecture
Data Capture
AI-Driven Decision Support
Predictive Maintenance
Energy Management
Waste Water Management
Business Intelligence
Visualisation
ISO23247
Manufacturing Execution System
Sensor Selection
Documentation Creation
Training
Paired Working
Data Pipelines

Location

Welshpool, Wales, United Kingdom

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