At a Glance
- Tasks: Design and deliver innovative AI/ML solutions on Google Cloud Platform.
- Company: Join a leading tech firm transforming businesses with AI and cloud technology.
- Benefits: Competitive salary, career growth, and the chance to work with cutting-edge tech.
- Other info: Dynamic team environment with opportunities for professional development.
- Why this job: Make a real impact by helping organisations accelerate their AI and cloud transformation journeys.
- Qualifications: 5+ years in AI/ML, strong GCP experience, and excellent communication skills.
The predicted salary is between 63000 - 77000 £ per year.
We're seeking an experienced AI/ML professional to join a growing GCP Practice team as a GCP AI/ML Practice Architect in a permanent position. In this role, you'll help design, develop, and deliver AI, Machine Learning, Generative AI, and Data Modernisation solutions on Google Cloud Platform, working closely with clients and delivery teams to translate business challenges into scalable, production-ready cloud solutions.
Key Responsibilities
- Design and deliver AI/ML solutions leveraging GCP services including Vertex AI, BigQuery ML, AutoML, Gemini, Dataflow, and Cloud Storage.
- Develop, train, deploy, and integrate machine learning models into scalable production environments using Python and modern ML frameworks.
- Support data engineering, migration, and modernisation initiatives across GCP data platforms including BigQuery, Pub/Sub, Dataproc, Cloud SQL, Bigtable, and Firestore.
- Implement and promote MLOps best practices, including CI/CD pipelines, model deployment, monitoring, versioning, and automation.
- Collaborate with customers and stakeholders to gather requirements, shape solutions, support technical workshops, and contribute to successful project delivery.
- Work alongside architects, data engineers, and project teams to drive innovation and ensure alignment with customer objectives and delivery standards.
What We're Looking For
- 5+ years of experience in AI/ML, Data Science, Data Engineering, Cloud Engineering, or Solution Architecture roles.
- Hands-on experience developing, deploying, and supporting machine learning solutions in production environments.
- Strong experience with Google Cloud Platform, particularly Vertex AI, BigQuery, AutoML, and emerging Generative AI technologies.
- Knowledge of machine learning, deep learning, NLP, MLOps, data pipelines, and cloud-native architectures.
- Experience with Docker, Kubernetes, Python, and modern data platform technologies.
- Strong communication and stakeholder management skills, with experience working in client-facing environments.
- Experience working within an IT Services, Consulting, or Professional Services environment, with exposure to client-facing delivery, solution design, technical workshops, pre-sales support, or stakeholder engagement.
- Google Cloud Associate Cloud Engineer and Professional Data Engineer certifications are required; Professional Machine Learning Engineer certification is advantageous.
This is an excellent opportunity for someone looking to combine deep technical expertise with solution architecture and consulting, helping organisations accelerate their AI and cloud transformation journeys on Google Cloud.
GCP Architect in London employer: Teksystems
As an Azure Solution Architect with us, you'll thrive in a dynamic work culture that prioritises innovation and collaboration. We offer competitive benefits, including professional development opportunities to enhance your skills in cloud technologies, all while working in a vibrant location that fosters creativity and teamwork. Join us to be part of a forward-thinking company that values your contributions and supports your career growth.
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We think this is how you could land GCP Architect in London
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We think you need these skills to ace GCP Architect in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
