QA Automation Engineer

• Design and implement automation and control systems for shipboard applications, including propulsion, auxiliary systems, and energy management
• Develop PLC and HMI software (Siemens preferred)
• Produce functional design specifications (FDS), control philosophies, I/O lists, and system architecture documentation
• Perform FAT, SAT, and commissioning activities, including onboard vessel work
• Integrate control systems with electrical and mechanical systems on vessels
• Troubleshoot and optimise systems during development, testing, and operation
• Ensure compliance with classification society and marine regulatory requirements
• Collaborate with multi-disciplinary engineering teams to deliver integrated solutions

Automation and Controls Engineer – Marine Electrical & Control Systems

• Working directly with teams across the entire business to identify manual inefficiencies and rescue them from repetitive, low-leverage work.
• Operate at the intersection of operations and engineering, combining low-code platforms with custom code to build robust automation internal ecosystems.
• Actively integrate LLMs and AI via APIs directly into our daily workflows to create smarter, more intuitive automation solutions.
• Own the process end-to-end, from scoping workflows with non-technical stakeholders to building, monitoring, and maintaining the pipeline.

Automation Engineer

• Architect, build and iterate a toolchain fusing traditional automation and productivity tools (n8n, google workspace, etc) with spec-driven design and agentic working, test out on IT and Security
• Advocate, mentor and enable other early adopter teams to use our platforms, get value, provide feedback, iterate the platform
• Build self-sustaining cultural practices across the organisation, enable whole departments, scale the platform for everyone
• Drive the evolution of IT operations towards an all-encompassing -as-code infrastructure model through hands-on architecture and design
• Contribute to the IT/Sec Operating System as we move wholesale to build-not-buy teams
• Mentor and level up the existing IT engineering team, then whole departments, serving as a technical guide to accelerate skills transfer and foster a strong, collaborative engineering culture
• Champion and advocate for our shared automation and AI platforms and methodologies, driving cross-departmental adoption to break down operational silos.

Principal Engineer – IT Automation, AI-native Transformation

Principal Engineer – IT Automation, AI Transformation

• Lead, mentor, and develop a growing team of Automation Engineers.
• Define and drive the automation roadmap in line with business priorities.
• Oversee the design, development, and deployment of automation solutions using Power Platform, RPA, Azure, and Copilot technologies.
• Establish and maintain technical standards, governance frameworks, and development best practices.
• Work with stakeholders across the organisation to identify and prioritise automation opportunities.
• Ensure solutions align with security, compliance, and architectural requirements.
• Drive adoption of modern development practices including CI/CD, testing, documentation, and release management.
• Support the evaluation and introduction of emerging technologies, including AI-enabled automation.
• Provide technical guidance and leadership across complex automation and integration projects.

Senior AI Automation Engineer

• Work as an individual collaborator on sprint teams across multiple disciplines
• Actively participate in sprint ceremonies; sharing updates and blockers, estimating and committing
• Ensure user stories are captured in accordance with your team's definition of ready
• Collaborate to write Acceptance Criteria that describe business rules for quality test scenarios
• Ensure work items are only complete when they meet the team definition of done

• Architect, build and iterate a toolchain fusing traditional automation tools (n8n, etc) with spec-driven design and agentic working, test out on IT and Security
• Advocate, mentor and enable other early adopter teams to use our platforms, get value, provide feedback, iterate the platform
• Build self-sustaining cultural practices across the organisation, enable whole departments, scale the platform for everyone
• Drive the evolution of IT operations towards an all-encompassing -as-code infrastructure model through hands-on architecture and design
• Contribute to the IT/Sec Operating System as we move wholesale to build-not-buy teams
• Mentor and level up the existing IT engineering team, then whole departments, serving as a technical guide to accelerate skills transfer and foster a strong, collaborative engineering culture
• Champion and advocate for our shared automation and AI platforms and methodologies, driving cross-departmental adoption to break down operational silos.

Staff IT Engineer – Automation, AI Transformation

Staff IT Engineer – Automation, AI-native transformation

• Develop a deep understanding of existing supplier-delivered control systems.
• Lead next-generation design, taking ownership of controls architecture, PLC logic and HMI evolution.
• Define and standardise control architectures to support modular, repeatable deployment.
• Ultimately hold technical ownership of control system architecture across the full product portfolio.
• Review and assess existing hardware and instrumentation selections and system designs.
• Lead next-generation design, including cost optimisation and standardisation of key components.
• Own hardware and instrumentation strategy, ensuring alignment with control philosophy and mechanical systems.
• Define component specifications, sizing approaches, and system-level design principles.
• Establish data acquisition and analysis approaches to support commissioning, validation, and troubleshooting.
• Embed data-driven engineering practices to generate insights into performance, reliability, and customer ROI.
• Act as the technical interface to suppliers, providing direction and challenging on key topics.
• Shape and expand the supplier ecosystem to improve quality, cost, and scalability.
• Transition from supplier-led development toward a hybrid and then primarily in-house capability, with suppliers used strategically for scale and specialisation.
• Act as the primary controls expert during field deployments, commissioning, and early-stage product stabilisation.
• Lead internal prototyping and development activities to enable faster iteration and validation.
• Establish standards, documentation, and engineering best practices for controls and automation.
• Play a key role in cross-disciplinary system design, working across controls and data domains.
• Build and grow internal capability, including mentoring and potential team development.

Senior Control & Automation Engineer

• Identify inefficient manual processes
• Design robust technical solutions
• Build integrations between business-critical platforms
• Continually improve the systems that keep the organization running
• Work across Microsoft 365, Azure, AWS and a growing SaaS ecosystem
• Develop API integrations
• Automate workflows
• Improve data flows
• Implement AI-powered solutions that remove repetitive work and improve operational reliability
• Debug an API issue, design a new automation or build maintainable solutions using modern development practices and version control.

Systems Automation Engineer

• Design, build and deploy AI-powered solutions using Microsoft Copilot and the wider Microsoft AI ecosystem.
• Develop and customise Copilot experiences across Microsoft 365, leveraging tools such as Copilot Studio and Power Platform.
• Build and integrate AI solutions using Azure services, including Azure AI Foundry, to support real-world business use cases.
• Work closely with customers to understand requirements and translate them into scalable AI solutions.
• Deliver workshops, demos and proof of concepts to showcase AI capabilities and drive adoption.
• Integrate AI solutions with existing systems, data sources and APIs.
• Support customers with best practices around AI usage, governance and security.
• Troubleshoot and optimise AI solutions to improve performance and user experience.
• Stay up to date with evolving AI technologies, particularly within the Microsoft ecosystem.
• Contribute to internal capability building, reusable assets and continuous improvement of AI offerings.

Automation Developer, Power Platform, Copilot Studio

• Develop and maintain automation tools and scripts to support engineering workflows across design and analysis domains
• Create automation solutions for 3DX CAD environments, improving model creation, modification, and data extraction processes
• Develop and implement Python scripts for stress analysis workflows, enabling automated calculations, data processing, and reporting
• Support the automation of finite element modelling (FEM) processes, including model setup, execution, and post-processing
• Integrate automation solutions into toolchains and engineering environments, ensuring compatibility and usability
• Collaborate with design, stress, and systems engineers to identify opportunities for workflow optimisation and automation
• Develop data processing and analysis tools, supporting comparison of simulation, test, and design data
• Support standardisation of engineering processes through repeatable and robust automation solutions
• Contribute to the development of CI/CD pipelines and version-controlled automation frameworks where applicable
• Produce clear and maintainable technical documentation for developed tools and scripts
• Support verification and validation of automated processes, ensuring accuracy and reliability
• Identify and implement continuous improvement opportunities across engineering workflows

Engineering Automation Developer

• Lead the design and development of production AI systems powering insurance workflow automation.
• Architect AI orchestration layers connecting LLMs, backend services, and business workflows.
• Own end-to-end AI system design, including inference pipelines, routing, caching, and fallback strategies.
• Drive engineering decisions around latency, reliability, cost, and scalability of AI services.
• Lead implementation of observability systems (logging, monitoring, tracing, alerting).
• Review and guide backend AI implementation across engineering teams.
• Collaborate with product, backend, DevOps, and operations teams to ship end-to-end AI features.
• Debug complex production issues across distributed AI systems and lead root-cause analysis.
• Define engineering standards and best practices for AI system development.
• Mentor engineers and elevate technical execution quality across teams.

Lead AI Engineer, AI Systems – Automation

• Design, build and deploy robotic lab workflows that integrate liquid handlers, incubators, imaging systems, analytical instruments and sensors into robust, end‑to‑end automated workflows
• Develop and implement orchestration and scheduling solutions to coordinate multiple devices and robots, enabling repeatable, high‑throughput and closed‑loop laboratory experiments
• Program and configure robots and lab instruments (e.g. motion, I/O, device APIs, scripting) and ensure safe, reliable operation, calibration and error handling in a laboratory environment
• Work with biologists and process engineers to translate manual protocols into automated workflows, including sample handling, assay steps, data capture and quality controls
• Develop tooling and pipelines for data acquisition, logging and traceability across automated workflows, ensuring that instrument telemetry and experimental metadata are available for analysis and model development
• Collaborate closely with software, data science and biology teams to integrate robotic systems with Sartorius’ digital platforms, analytics tools and cloud services
• Contribute to concept development, prototyping and scaling of new lab automation concepts, from proof‑of‑concept in the lab to robust, repeatable solutions suitable for productization

QA Automation Engineer jobs in United Kingdom

See all jobs on JobTailor

Automation and Controls Engineer – Marine Electrical & Control Systems

Automation Engineer

Principal Engineer – IT Automation, AI-native Transformation

Principal Engineer – IT Automation, AI Transformation

Senior AI Automation Engineer

Automation Engineer

Staff IT Engineer – Automation, AI Transformation

Staff IT Engineer – Automation, AI-native transformation

Senior Control & Automation Engineer

Systems Automation Engineer

Automation Developer, Power Platform, Copilot Studio

Engineering Automation Developer

Lead AI Engineer, AI Systems – Automation

Senior Robotics – Lab Automation Engineer