Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

GCP Architect

Response Informatics
London
1 year ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Engineer

Data Science Manager - Marketing & Customer Generative AI Enterprise Architect

Artificial Intelligence Engineer

Senior Data Scientist

Data Scientist – Python, Snowflake, Healthcare

Data Scientist (ML, Speech, NLP & Multimodal Expertise) | Manchester

Responsibilities:


* Infrastructure as Code (IaC):


* Design, implement, and manage infrastructure as code using Terraform

for GCP environments.


* Ensure infrastructure configurations are scalable, reliable, and

follow best practices.


* GCP Platform Management:


* Architect and manage GCP environments, including compute, storage,

and networking components.


* Collaborate with cross-functional teams to understand requirements

and provide scalable infrastructure solutions.


* Vertex AI Integration:


* Work closely with data scientists and AI specialists to integrate

and optimize solutions using Vertex AI on GCP.


* Implement and manage machine learning pipelines and models within

the Vertex AI environment.


* BigQuery Storage:


* Design and optimize data storage solutions using BigQuery Storage.


* Collaborate with data engineers and analysts to ensure efficient

data processing and analysis.


* Wiz Security Control Integration:


* Integrate and configure Wiz Security Control for continuous security

monitoring and compliance checks within GCP environments.


* Collaborate with security teams to implement and enhance security

controls.


* Automation and Tooling:


* Implement automation and tooling solutions for monitoring, scaling,

and managing GCP resources.


* Develop and maintain scripts and tools to streamline operational

tasks.


* Security and Compliance:


* Implement security best practices in GCP environments, including

identity and access management, encryption, and compliance controls.


* Must understand the Policies as a Code in GCP


* Perform regular security assessments and audits.




Requirements:


* Bachelor's Degree:


* Bachelor's degree in Computer Science, Information Technology, or a

related field.


* GCP Certification:


* GCP Professional Cloud Architect or similar certifications are

highly desirable.


* Infrastructure as Code:


* Proven experience with Infrastructure as Code (IaC) using Terraform

for GCP environments.


* Vertex AI and BigQuery:


* Hands-on experience with Vertex AI for generative AI solutions and

BigQuery for data storage and analytics.


* Wiz Security Control:


* Experience with Wiz Security Control and its integration for

continuous security monitoring in GCP environments.


* GCP Services:


* In-depth knowledge of various GCP services, including Compute

Engine, Cloud Storage, VPC, and IAM.


* Automation Tools:


* Proficiency in scripting languages (e.g., Python, Bash) and

automation tools for GCP resource management.


* Security and Compliance:


* Strong understanding of GCP security best practices and compliance

standards.


* Collaboration Skills:


* Excellent collaboration and communication skills, with the ability

to work effectively in a team-oriented environment.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.