Iceberg Cyber Security

About the Company

The digital revolution continues to transform how we live, work, interact and do business with each other. The shift from analog machinery to digital technology has provided us with various opportunities to connect with the world through computers, smart phones, tablets and other devices. The internet in particular has allowed us to access information, send emails and download data - all of which can be done quickly and easily. However, in light of these benefits, there are also a number of potential risks. The biggest problem that individuals and companies face is the rapid rise of cyber crime.

Iceberg has been established to provide companies with cyber security experts who will protect businesses from the unseen threat of cyber crime. Our team of dedicated professionals have a wealth of experience in matching information and cyber security professionals of all levels with the best organisations and projects on both a Contract and Permanent basis.

As a trusted Client, we can meet your staffing needs by proactively tapping into our extensive Candidate network to identify new, existing and developing talent for your business. In return, this enables us to prove you with a bespoke section of Candidates who can add real value to your security requirements. From the initial qualification to placement, we will assist you in building a cyber security team who dive beneath the surface of your security systems and efficiently safeguard your valuable assets.

As our valued Candidate, we will work in close partnership with you to establish your key areas of expertise. Using this information, we will then accurately match you with exciting opportunities within the cyber security sector. From first contact to interview stage to job offer, you can expect our full support throughout the entirety of your career journey.

Listed Jobs

Company Name

Iceberg Cyber Security

Job Title

Machine Learning Engineer

Job Description

**Job title:** Machine Learning Engineer **Role Summary:** Design, develop, and deploy production‑ready machine learning systems, turning research into shipped features within a fast‑moving startup environment. **Expectations:** - Build and optimise state‑of‑the‑art ML models (transformers, generative models, embeddings). - Translate research into scalable, low‑latency production pipelines. - Work with large‑scale datasets to improve model accuracy, performance, and reliability. **Key Responsibilities:** 1. Develop, train, and tune deep learning models using PyTorch or TensorFlow. 2. Engineer end‑to‑end ML pipelines from experimentation to deployment. 3. Collaborate with researchers and software engineers to integrate ML features into products. 4. Optimize models for real‑time inference and cloud deployment. 5. Maintain and improve data processing workflows (NumPy, pandas, etc.). **Required Skills:** - 3+ years in applied ML or deep learning. - Proficient in Python and PyTorch/TensorFlow. - Strong knowledge of model training, evaluation, and deployment pipelines. - Experience with large‑scale data processing and pipeline construction. - Familiarity with MLOps tools (Docker, MLflow, Weights & Biases). **Bonus Experience:** - Large‑language models, diffusion or other generative architectures. - NLP, audio, or vision ML applications. - Early‑stage startup or high‑velocity technical environment. **Required Education & Certifications:** - Bachelor’s (or higher) degree in Computer Science, Data Science, Electrical Engineering, or a related field.

United kingdom

Remote

Junior

09-09-2025

Company Name

Iceberg Cyber Security

Job Title

Site Reliability Engineer

Job Description

Job title: Site Reliability Engineer Role Summary: Design, build, and optimise Azure public‑cloud infrastructure to deliver reliable, scalable, and efficient systems for a global financial services organisation. Expactations: Deliver robust automation, maintain high availability, support CI/CD pipelines, participate in on‑call rotations, collaborate with DevOps teams, and embed SRE principles across deployments. Key Responsibilities: • Design and implement Azure infrastructure (deployment, scaling, optimisation). • Develop automation and tooling with Python (or PowerShell/Terraform). • Maintain and enhance CI/CD pipelines and SRE tooling. • Participate in an on‑call rotation (1 weekend per 12, with optional additional weekends). • Partner with DevOps to transition teams to SRE best practices. Required Skills: • Hands‑on Azure infrastructure engineering and optimisation. • Strong automation skills: Python (preferred), PowerShell, Terraform. • Experience with CI/CD tools (Jenkins, Azure DevOps, GitLab CI). • Understanding of SRE principles and incident response. • Team‑oriented mindset and problem‑solving ability. Required Education & Certifications: • Bachelor’s degree in Computer Science, Engineering, or equivalent experience. • Azure certifications (AZ‑104, AZ‑303, AZ‑305) preferred.

Glasgow, United kingdom

Hybrid

11-09-2025

Company Name

Iceberg Cyber Security

Job Title

GRC Security Specialist

Job Description

**Job Title:** GRC Security Specialist **Role Summary**: Technical security professional to integrate governance, risk, and compliance (GRC) with engineering-driven security operations in a high-trust, agile environment. Focus on building practical, scalable controls aligned with business needs. **Expectations**: - Own compliance frameworks (e.g., ISO 27001, SOC 2) with third-party collaboration. - Embed security into software and infrastructure development workflows. - Ensure governance processes reflect operational realities, avoiding superficial compliance. - Support security program initiatives (e.g., threat modeling, incident response). - Define strategies for scaling security and compliance in fast-paced, technical organizations. **Key Responsibilities**: - Execute end-to-end compliance programs and audits. - Collaborate with engineering teams to implement secure-by-design solutions. - Advise on risk management frameworks and control effectiveness. - Participate in threat modeling, security assessments, and incident response. - Advocate for security best practices across product and infrastructure teams. **Required Skills**: - 3–5 years in GRC, information security, or technical risk management. - Experience in engineering-focused or tech-sector security programs. - Deep knowledge of compliance standards (ISO 27001, SOC 2, GDPR). - Strong analytical skills to evaluate control effectiveness. - Excellent stakeholder influence without direct authority. - Technical literacy in cloud, infrastructure, or application security (no coding). **Required Education & Certifications**: - Bachelor’s/graduate degree in cybersecurity, engineering, or related field. - Certifications: CISSP, CISM, ISO 27001 Lead Auditor/Implementer, or equivalent.

London, United kingdom

On site

23-09-2025

Company Name

Iceberg Cyber Security

Job Title

Platform Engineer

Job Description

**Job Title:** Platform Engineer **Role Summary:** Design, build and own a foundational internal platform for a hyper‑growth AI company. Lead automation, tooling, developer experience, infrastructure, and workflow solutions to enable fast, frictionless engineering across the organization. **Expectations:** - Serve as the first hire in the new Internal Platform function. - Set technical direction and build a high‑impact, scalable platform. - Collaborate closely with senior engineering leadership. - Own end‑to‑end delivery, from concept to production and continuous improvement. - Lay groundwork for future platform growth and staff scaling. **Key Responsibilities:** - Architect and implement platform components (CI/CD, cloud infra, observability, environment management). - Develop automation and tooling that reduce engineering friction. - Create and maintain developer workflows, onboarding pipelines, and support documentation. - Monitor platform health, performance, and reliability; implement fault tolerance and scaling solutions. - Define and enforce platform governance, best practices, and security policies. - Serve as technical advocate for platform initiatives across the engineering organization. **Required Skills:** - Deep experience in cloud infrastructure (AWS, GCP, or Azure) and IaC tools (Terraform, Pulumi, CDK). - Strong background in CI/CD pipeline design and automation (GitHub Actions, GitLab CI, CircleCI, etc.). - Proficiency in scripting/automation languages (Python, Go, Bash). - Expertise in containerization and orchestration (Docker, Kubernetes). - Understanding of observability (logging, metrics, alerting) and monitoring systems. - Knowledge of security best practices for DevOps (Secret management, IAM, compliance). - Excellent communication skills; ability to influence and collaborate with engineering leadership. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience). - Relevant certifications such as AWS Certified DevOps Engineer, GCP Professional Cloud DevOps Engineer, or Kubernetes Administrator are a plus.

United kingdom

Remote

03-12-2025