Operations Automation Specialist

Accountabilities

• Translate business needs and value opportunities into clear technology requirements and contribute to the design of solutions that deliver defined operational outcomes.


• Support vendor technology evaluations, provide technical recommendations to appropriate design authorities, and help assess emerging IoT, automation, robotics, and connected technologies.


• Contribute to solution architecture definition and ensure that technology implementations remain aligned with applicable standards, infrastructure requirements, security considerations, and project objectives.


• Develop, integrate, deploy, and test end-to-end technology solutions involving IIoT, sensors, telemetry, robotics, software, and embedded systems.


• Prepare for and support field testing, proof-of-concept deployments, Factory Acceptance Testing, Site Acceptance Testing, and operational technology deployments.


• Design, document, execute, and improve quality assurance and automation testing processes, recording test outcomes, fixes, upgrades, and validation results.


• Validate data end to end, from field devices and sensors through connectivity and processing layers to cloud-based platforms and applications.


• Install and test software across operating-system and application layers, including relevant Linux, Robot Operating System, and embedded environments.


• Work with vendors and operational teams during deployments, provide feedback on technical issues, and identify opportunities for product and solution improvements.


• Provide remote support for field installations and operational environments, including device maintenance, upgrades, troubleshooting, and ongoing technical support.


• Create or adapt online dashboards and data visualization solutions to present operational and technology data effectively.


• Contribute to data processing activities involving computer vision, artificial intelligence, and machine learning where relevant to operational technology solutions.


• Maintain awareness of intellectual asset management considerations and commercial models associated with emerging technologies.

Requirements

• Bring practical field experience working within industrial or operational environments, ideally with exposure to complex technology deployments.


• Have strong knowledge and hands-on experience in automation, with exposure to robotics programming and industrial technology systems.


• Demonstrate experience with operating systems applicable to robotics and industrial automation, including Robot Operating System (ROS), Linux, and/or other embedded operating systems.


• Have experience across systems integration, software and hardware integration, testing, commissioning, and deployment of technology solutions.


• Understand networking technologies such as Ethernet, Wi-Fi, and cellular connectivity and how they support connected industrial environments.


• Have experience with field testing, proof-of-concept deployments, Factory Acceptance Testing (FAT), and Site Acceptance Testing (SAT).


• Demonstrate knowledge of sensor configuration, end-to-end device maintenance and upgrades, data processing, and connected-device troubleshooting.


• Have exposure to computer vision, AI/ML, data integration, data management, data transformation, and related digital technologies.


• Be familiar with programming languages and able to understand or work with software used in automation and connected technology environments.


• Demonstrate strong analytical, problem-solving, organizational, and attention-to-detail skills.


• Communicate clearly and confidently, with strong presentation skills and the ability to work effectively with technical and non-technical stakeholders.


• Be a collaborative team player who can also operate independently, take initiative, and work with limited guidance when required.


• Be comfortable working quickly, managing competing priorities, and delivering to demanding deadlines.


• Hold a relevant degree, technical qualification, or equivalent industry experience.


• Experience within the oil and gas or broader energy industry is advantageous.


• Demonstrate commercial awareness and an understanding of how emerging technologies can create operational value.

• Hybrid office and remote working arrangement in the United Kingdom.


• Opportunity to work with industrial automation, IIoT, sensors, telemetry, robotics, AI/ML, and other emerging technologies.


• Flexible working options designed to support different aspects of employees’ lives.


• Generous paid parental leave.


• Competitive retirement benefits.


• Opportunity to contribute to digital transformation and innovative technology initiatives supporting the energy transition.


• Collaborative and diverse working environment with opportunities for professional growth and development.


• Up to 10% travel expected as part of the role.


• The position is not eligible for relocation assistance.


• The role will initially be based in Sunbury, London, with a planned move to Timber Square, Southwark, around Q4 2027–Q1 2028.


• Reasonable accommodations are available throughout the recruitment and employment process for individuals with accessibility needs.


• Depending on the role and local requirements, employment may include pre-placement drug screening, medical fitness reviews, and background checks.

This listing is from Lever. View original listing ↗