We are seeking a highly motivated and innovative Standard Software and AI Development Engineer to join our engineering team. This role is pivotal in advancing our R&D projects, particularly those focused on automation, simulation, and the integration of AI-driven solutions within engineering workflows. The successful candidate will collaborate closely with multidisciplinary teams to develop, implement, and support advanced engineering toolboxes and automated processes, leveraging both proprietary and open-source technologies.

What will you be doing?

The  Standard Software and AI Development Engineer shall report to the discipline manager of the mechanical team and shall work closely with all disciplines within the engineering function in the UK. Key responsibilities are:

R&D projects:

·        Participate actively in the on-going research and development projects related to automation in engineering through standard software and AI tools, with a focus on improving quality, increasing the knowledge retention, enhancing efficiency and reducing lead time.

Engineering systems development:

·        Develop the software tools to contribute to the development, testing, and deployment of simulation and analysis toolboxes tailored for various engineering disciplines

·        Design and implement engineering calculation tools as part of the AI development within the function, ensuring robust, reliable, and scalable solutions

·        Integrate established tools and best practices from the Software and AI communities into engineering workflows, promoting standardization and innovation

·        Incorporate open-source contributions, particularly from the Scientific Python community, into engineering-related workflows to enhance capability and efficiency

·        Automate the management of libraries and specifications within 3D model suites such as PDM Vault and Plant 3D, streamlining data handling and reducing manual intervention.

·        Support the integration of lessons learned in automated platforms and their continuous improvement

Support to Team Development:

·        Train and support engineering teams in the effective use of AI and related tools, promoting a culture of continuous learning and technological adoption

Cross-functional support

·        Provide support to other business functions for the development and implementation of automated workflows, depending on workload and business priorities

Other duties:

·        Uphold and promote Framatome commitment to nuclear safety and environmental protection

·        Identify opportunities for efficiency improvements within engineering practices.

·        Occasional travel to Framatome business units may be required to support project needs and cross-site collaboration

What are we looking for?

Knowledge / Skills

• Degree (or currently pursuing a degree) in a relevant engineering discipline (e.g., Mechanical, Electrical, Nuclear, or related fields)
• Experience with quality systems and design standards applicable to the nuclear industry
• Experience in engineering activities for nuclear applications, covering disciplines such as mechanical, equipment, electrical engineering etc.
• Experience in application of Python and AI technologies in engineering contexts .
• Working knowledge of engineering lifecycles
• Working knowledge with 3D modeling tools and the ability to identify and mitigate database related risks.
• Excellent communication.
• Ability to contribute to a culture of continuous improvement and knowledge sharing
• Ability to build strong, collaborative relationships with various engineering disciplines
• Ability to set, achieve and maintain high standards of safety and quality

Desired knowledge and Personal Characteristics:

• Knowledge of nuclear power stations design
• Knowledge of nuclear safety principles and culture
• Understanding of engineering supply chain management and contract administration in a nuclear context
• Participation in 3D model reviews and work with 3D viewers 
• Excellent presentation skills
• Passion and enthusiasm
• Determination - not easily discouraged or put off
• Innovative – prepared to see beyond how it has been done before
• Positive outlook – always sees opportunity through any adversity
• Resilient – ready to bounce back from any challenges
• Determination – gets things done when they need to be

Software and tools:

• Microsoft suite (standard and 365)
• Python (incl. NumPy, Pandas, Xarray), Gitlab,  SCIPYENV conda, Linux, other open and proprietary tools
• Familiarity with engineering design and analysis tools

Languages (level)

• English fluent

Work Environment:

• This is a part-time position (appr. 2 days per week) with flexible working hours, ideal for candidates seeking a balance between professional development and other commitments.

·        25 days annual leave per year rising by 1 day for every 2 years worked (max 30 days) + Bank Holidays

·        8% employer pension contribution with employee 1% contribution (salary sacrifice)

·        Individual and family private health care

·        Dental insurance for employees

·        Cashplan – Level 2 cover

·        Life assurance (4x salary)

·        Employee assistance programme (EAP)

·        Income Protection

·        Professional Body Membership

·        Tusker Electric car scheme (salary sacrifice)

·        Cycle to Work scheme (salary sacrifice)

·        Babbel – learn a new language

·        Generous family leave