GCP Architect

TEKsystems; Greater London; On-site; GBP 110,000 - 170,000; Full time

Job summary

TEKsystems is seeking an experienced Google Cloud Platform Architect focused on AI/ML to design, develop and deliver scalable cloud solutions on Google Cloud. You will work with clients and delivery teams to translate complex business challenges into production‑ready architectures using Vertex AI, BigQuery, AutoML, and related GCP services.

You will lead ML model development, deployment, and integration in production environments, applying MLOps practices and collaborating with data engineers,

Qualifications

• 5+ years in AI/ML, Data Science, Data Engineering, Cloud Engineering, or Solution Architecture.
• Hands-on experience deploying ML solutions in production.
• Strong GCP experience with Vertex AI, BigQuery, AutoML, Gemini, and related tools.
• Knowledge of ML, DL, NLP, MLOps, data pipelines, and cloud-native architectures.
• Experience with Docker, Kubernetes, Python, and modern data platforms.
• Excellent communication and client-facing skills.
• Certifications: Associate Cloud Engineer and Professional Data Engineer; ML Engineer is advantageous.

Responsibilities

• Design and deliver AI/ML solutions on GCP leveraging Vertex AI, BigQuery ML, AutoML, Gemini, Dataflow.
• Develop, train, deploy, and integrate ML models into scalable production environments using Python.
• Support data engineering, migration, and modernization across GCP data platforms (BigQuery, Pub/Sub, Dataproc, Cloud SQL, Bigtable, Firestore).
• Implement and promote MLOps practices: CI/CD, model deployment, monitoring, versioning, automation.
• Collaborate with customers and stakeholders to gather requirements and shape solutions for delivery.
• Work with architects, data engineers, and project teams to drive innovation and align with customer objectives.

Skills

AI/ML

Data Science

Data Engineering

Cloud Engineering

Solution Architecture

GCP

Vertex AI

Python

Docker

Kubernetes

MLOps

Cloud Data Pipelines

Education

Google Cloud Associate Cloud Engineer

Google Cloud Professional Data Engineer

Google Cloud Professional Machine Learning Engineer

Tools

Docker

Kubernetes

Python

BigQuery

Dataflow

Job description

Google Cloud Platform Architect - AI/ML

We’re seeking an experienced AI/ML professional to join a growing GCP Practice team as an 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

Job Title: GCP Architect

Location: London, UK

Job Type: Permanent