Ai/ml engineer Work, Jobs in Bearwood, Wmd (with Salaries)

GCP Cloud Engineer
National Gas —Warwick
- £70,000 a year
- Full-time
- Hybrid work
11d
Data Solution Architect
Capgemini —Birmingham
- Hybrid work
- Azure
- Analysis skills
- Machine learning
Databricks Data Solution Architect
Capgemini —Birmingham
- Hybrid work
- Analysis skills
- Machine learning
- AI
Azure Fabric Architect
Capgemini —Birmingham
- Hybrid work
- Azure
- Analysis skills
- Machine learning
Senior Embedded Linux & Vision AI Engineer
Omegro —Coleshill
- Full-time
- Management
- C++
- Linux
Principal Software Engineer Backend Technologies, Platform (UK Remote)
Turnitin, LLC —Birmingham
- Full-time
- Remote
- DevOps
- System design
- Java
- Annual leave
Quick apply
Agentic Platform Architect / Systems Administrator
BGBx —Birmingham
- £65,000 - £75,000 a year
- Remote
- Azure
- DevOps
- Master's degree
- Annual leave
- Life insurance
Quick apply
Lead Backend Engineer
ASSA ABLOY —Solihull
- Full-time
- Computer Science
- Engineering
- Master's degree
- Flexible schedule
11d
Full Stack Engineer
Minerva Defence —Worcester
- Hybrid work
- Machine learning
- Computer networking
Quick apply
3d
Business Analyst
Capgemini —Birmingham
- Hybrid work
- Master's degree
- Machine learning
- AI
14h

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GCP Cloud Engineer

National Gas -
Warwick

Apply Now

Job details

Full-time
£70,000 a year
11 days ago

Benefits

Company pension
Car scheme

Qualifications

Scripting and automation in system administration
Dashboard visualisation
Kubernetes orchestration
Google Cloud Platform
Network infrastructure
Cloud engineering experience
Incident response
Docker
CI/CD pipelines
NIST standards
Terraform
Operational security implementation
GitHub
DevOps implementation
Jenkins
PowerShell scripting
Infrastructure provisioning automation
PowerShell
Terraform provisioning

Full job description

GCP Cloud Engineer

Warwick based, hybrid working

Full time, permanent

C£70,000 + bens

At National Gas, the work we do matters.

As Britain's national gas network, we help keep the lights on, businesses running, and homes warm by maintaining the critical infrastructure that transports gas across Great Britain. While providing the energy security Britain relies on today, we're also helping transform the network for a clean energy future.

Join us and help secure Britain's energy.

About the role

If you’re passionate about cloud technology and eager to make a real impact – look no further. We’re looking for a talented GCP (Google Cloud Platform) Cloud Engineer to join our Systems Engineering team and help us deliver secure, scalable, and efficient cloud solutions that keep the nation’s energy flowing.

The GCP Cloud Engineer is responsible for architecting, implementing, and maintaining secure, scalable, and highly available cloud infrastructure across GCP and Azure. This role requires technical expertise in cloud-native services, automation, and security, and will drive the adoption of Infrastructure as Code (IaC), CI/CD, and DevSecOps practices.

What you'll be doing

Cloud Architecture & Engineering:

Design, build, and manage complex cloud environments using GCP and Azure, ensuring adherence to architectural guardrails and tagging standards.
Develop and maintain secure, multi-region, multi-account cloud landing zones using automation frameworks.
Implement advanced networking (VPC, VPN, hybrid connectivity, load balancing, DNS, CDN) and security controls (IAM, RBAC, KMS, firewalls, SIEM integration).

Automation & Infrastructure as Code (IaC):

Develop, test, and maintain IaC templates using Terraform, CloudFormation, and Ansible for repeatable, auditable deployments.
Integrate IaC pipelines with version control (Git), automated testing, and policy-as-code (e.g., Sentinel, OPA) for compliance enforcement.
Champion GitOps and immutable infrastructure patterns.

CI/CD & DevOps:

Build and optimize CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.) for automated build, test, and deployment of cloud-native and containerized workloads (Docker, Kubernetes, Helm).
Implement blue/green and canary deployment strategies, automated rollbacks, and robust monitoring/alerting for production workloads.
Collaborate with development and SRE teams to embed security and quality gates into the SDLC.

Cloud Security & Compliance:

Enforce cloud security best practices, including least privilege, encryption at rest/in transit, vulnerability scanning, and automated remediation.
Support ITGC, audit, and regulatory requirements by implementing controls, monitoring, and evidence collection for cloud environments.
Respond to security incidents, perform root cause analysis, and drive continuous improvement.

Monitoring, Observability & Cost Optimization:

Deploy and manage cloud-native monitoring, logging, and tracing solutions (e.g., Azure Monitor, GCP Operations Suite, AWS CloudWatch, Prometheus, Grafana).
Analyse resource utilization, optimise for performance and cost, and implement automated scaling and rightsizing.
Produce dashboards and reports for operational and business stakeholders.

Incident Response & Troubleshooting:

Lead incident response for cloud infrastructure issues, including root cause analysis and post-mortem documentation
Develop and test disaster recovery and business continuity plans for critical workloads.

What you'll bring

Essential

You’re an experienced Cloud Engineer with advanced hands-on experience with Azure, GCP and Terraform, including multi-cloud and hybrid architectures. Also:

IaC & Automation: Proficiency in Terraform, CloudFormation, Ansible, and scripting languages (Python, Bash, PowerShell)
CI/CD & DevOps: Strong knowledge of CI/CD tools, containerization (Docker, Kubernetes), and orchestration
Security: Solid understanding of cloud security frameworks, IAM, encryption, vulnerability management, and compliance (ISO, NIST, CIS)
Networking: Expertise in cloud networking, VPNs, load balancers, DNS, CDN, and hybrid connectivity
Monitoring & Observability: Experience with cloud-native and open-source monitoring, logging, and alerting tools

Desirable

Certifications: Azure Solutions Architect, GCP Professional Cloud Architect.
Experience with policy-as-code, GitOps, and advanced automation frameworks.
Exposure to AI/ML workloads, serverless architectures, and cloud cost management tools.

Security clearance

This role is subject to National Security Vetting (NSV). Candidates must be eligible to obtain and maintain Security Clearance (SC) throughout their employment. For further information, visit www.gov.uk (UK Security Vetting: Clearance Levels).

What we offer

Market-leading double-match pension (up to 12% company contribution)
Annual performance bonus up to 6%
Access to the Tusker salary sacrifice car scheme
26 days holiday (plus statutory holidays)
10x salary life assurance and income protection
Flexible benefits including healthcare, dental, and technology options
Family-friendly policies, wellbeing support, and professional development opportunities

Inclusive recruitment

We're building a workforce that reflects the communities we serve, championing diversity, and creating an inclusive workplace where everyone is valued for their unique contribution. We support reasonable adjustments throughout the recruitment process and beyond.

National Gas is a Disability Confident employer and signatory of the Armed Forces Covenant.

Apply Now

Refine Your Search

ai/ml engineer jobs in bearwood, wmd

GCP Cloud Engineer

Data Solution Architect

Databricks Data Solution Architect

Azure Fabric Architect

Senior Embedded Linux & Vision AI Engineer

Principal Software Engineer Backend Technologies, Platform (UK Remote)

Agentic Platform Architect / Systems Administrator

Lead Backend Engineer

Full Stack Engineer

Business Analyst

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