At a Glance
- Tasks: Design and deploy AI workflows that transform business processes using cutting-edge technology.
- Company: Join Convatec, a leader in medical solutions with a focus on innovation and care.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on career development and technical leadership.
- Why this job: Make a real impact by turning AI ideas into practical solutions that improve lives.
- Qualifications: 4+ years in software engineering or AI delivery; strong Python and SQL skills required.
The predicted salary is between 80000 - 100000 £ per year.
As a Forward Deployed AI Engineer within Convatec’s AI Centre of Excellence, you will help turn AI opportunities into practical, production-ready solutions that improve how our business works. Embedded directly with business teams, you will take ownership of AI-enabled workflows from discovery and design through to build, testing, deployment, monitoring and handover. This is a senior, hands-on delivery role for someone who can work independently across architecture, integration, DevOps, MLOps, AIOps, data engineering and governance. You will make technical decisions, solve complex integration challenges and ensure AI solutions are reliable, scalable and safe to run in live business environments.
You will work with technologies such as Microsoft Copilot Studio, Microsoft Fabric, Azure DevOps, Azure AI Foundry and SAP Joule, helping to design, build and deploy AI workflows that connect into real operational processes across Convatec. We are looking for someone who is comfortable being the senior technical voice on an initiative: setting standards, guiding others, managing technical risks and ensuring solutions are successfully handed over to the teams who will use and support them.
Key Responsibilities:
- Design, build and deploy AI-enabled workflows using Azure AI Foundry, Microsoft Copilot Studio, Microsoft Fabric and SAP Joule.
- Connect AI workflows to enterprise systems through REST APIs, event streams and Microsoft Fabric data pipelines.
- Act as the senior technical voice within embedded initiatives, setting engineering standards and guiding Applied AI Engineers and business teams.
- Plan and execute functional, regression and edge-case testing.
- Build timeboxed prototypes in the AI Landing Zone sandbox to test technical options.
- Implement and maintain CI/CD, monitor and release pipelines using Azure DevOps.
- Produce clear technical documentation and handover materials.
- Make technical recommendations on workflow architecture, integration patterns, tooling choices, production readiness and handover quality.
Skills & Experience:
Essential
- Minimum 4+ years’ experience in software engineering, AI/ML workflow delivery or systems integration.
- Minimum 2+ years’ operating in a senior or lead technical capacity.
- Hands-on, production-grade experience across DevOps, MLOps and AIOps.
- Strong proficiency in Python and SQL; solid REST and event-driven API integration experience.
- Hands-on experience with Azure AI Foundry, Microsoft Copilot Studio and Microsoft Fabric.
- Demonstrated ability to self-direct across the full delivery lifecycle.
- Experience working directly with business stakeholders.
Desirable
- Experience with SAP Joule or integrating agentic AI solutions with SAP business processes.
- Familiarity with AI Landing Zone design patterns, guardrails and governance frameworks.
- Experience with containerization (Docker/Kubernetes) and cloud-native deployment patterns on Azure.
- Understanding of multi-agent coordination patterns using Copilot Studio or Azure AI Foundry.
- Knowledge of healthcare data privacy requirements including GDPR or HIPAA.
Soft Skills & Attributes
- Self-directed and comfortable working through ambiguity.
- Technically credible, with the confidence to set standards and challenge approaches.
- Outcome-focused, with strong ownership of delivery quality and production reliability.
- Adaptable, able to work across multiple business areas and changing priorities.
- Clear communicator, able to explain technical decisions in a way that business stakeholders can understand.
Education/Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems or a related field.
- Relevant certifications in Azure or MLOps/AIOps are desirable.
Travel Requirements:
Position may involve travel up to 10% of the time, mostly within Europe.
Working Conditions:
Hybrid working model – 1 day per week on-site at our London office.
Forward Deployed AI Engineer in London employer: SwiftCruit
At Global, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London that fosters innovation and collaboration. As a Senior Machine Learning Engineer, you'll not only have the opportunity to influence millions through cutting-edge AI solutions but also benefit from a culture that encourages professional growth, cross-functional partnerships, and the development of reusable engineering standards. With a commitment to employee development and a focus on impactful projects, Global is the ideal place for those seeking meaningful and rewarding careers in data science and machine learning.
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We think this is how you could land Forward Deployed AI Engineer in London
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We think you need these skills to ace Forward Deployed AI Engineer in London
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