LT Harper - Cyber Security Recruitment

About the Company

At LT Harper we specialise in cyber security recruitment. We believe in providing an individualised, transparent service to our customers whether they are looking for a new opportunity or to hire talent.

Listening to our customers & building relationships is key to our success. We aim to offer a bespoke service to you by listening to what is important to you and tailoring our services to meet your specific needs. That includes simply providing advice or guidance if you aren't quite ready to take the jump and hire someone or make a job move.

We want to make your recruitment process stress free & rewarding by offering you support & guidance at every step of the way. Our extensive recruitment experience & excellent relationships within the Cybersecurity space mean that we can give you access to a varied choice of companies from innovative, tech forward disruptors to traditional corporations.

We work exclusively in the Cybersecurity sector so we are constantly gathering information specifically related to the industry & have a thorough knowledge of the talent pools available & companies with plans to add headcount that generalist IT Recruitment agencies may lack. We can help you understand what the trends are in the market, how to attract & retain the best talent & how to secure the most exciting roles.

We are passionate about making an impact by helping address the skills shortage in the Cybersecurity sector & making your experience with us a positive one.

Listed Jobs

Company Name

LT Harper - Cyber Security Recruitment

Job Title

Senior Data Engineer

Job Description

**Job Title** Senior Data Platform Engineer (Azure | Terraform Expert) **Role Summary** Leads the design, deployment, and governance of enterprise‑grade Azure data platforms using Terraform as the primary IaC tool. Owns reusable module libraries, CI/CD pipelines, and secure infrastructure patterns across multiple teams, while advising on architecture, compliance, and operational monitoring. **Expactations** - 5+ years of platform or cloud engineering, focused on Azure. - Exceptional Terraform expertise (advanced HCL, modular design, state/workspace strategy). - Proven track record delivering Azure Data Factory, Synapse, Data Lake, Key Vault, and AI/ML services via IaC. - Deep understanding of Azure networking, Identity & Access Management, and security controls. - Demonstrated ability to build and manage CI/CD pipelines (Azure DevOps, GitHub Actions). - Strong scripting skills (PowerShell, Bash, or Python). - Ability to mentor peers, influence standards, and communicate with senior stakeholders. **Key Responsibilities** - Own and evolve Terraform‑based infrastructure design for Azure data and AI platforms. - Develop, maintain, and document reusable Terraform modules and best‑practice patterns. - Automate provisioning of Azure services: Data Factory, Synapse, Data Lake, Key Vault, networking, and AI/ML workloads. - Manage state, backends, workspaces, drift detection, and remediation workflows across multi‑environment estates. - Build and maintain CI/CD pipelines incorporating Terraform plan/apply, approvals, and policy enforcement. - Embed observability (monitoring, logging, alerting) directly into infrastructure code. - Design secure-by‑design architectures with private endpoints, managed identities, Key Vault integration, and network security controls. - Act as Terraform subject‑matter expert, providing guidance, training, and influencing platform standards. - Collaborate with data engineers, architects, and stakeholders to deliver reliable, compliant data platforms. **Required Skills** - Advanced Terraform (HCL, modules, remote state, workspace, lifecycle). - Azure infrastructure: Data Factory, Synapse Analytics, Data Lake, Key Vault, AI/ML, networking, App Gateway. - CI/CD: Azure DevOps, GitHub Actions, plan/apply automation. - Scripting: PowerShell, Bash, or Python. - Azure networking, IAM, security, private endpoints, key vault integration. - Governance, security controls, observability via code. - Excellent communication, mentoring, and stakeholder engagement. **Required Education & Certifications** - HashiCorp Terraform Associate (004) or Terraform Professional. - Azure DevOps Engineer (AZ‑400) preferred. - Azure Solutions Architect or Azure Administrator certifications advantageous.

United kingdom

Remote

Senior

22-01-2026

Company Name

LT Harper - Cyber Security Recruitment

Job Title

SOC Lead (Outside IR35)

Job Description

**Job title** SOC Lead (Outside IR35) **Role Summary** Lead and evolve Security Operations Center (SOC) functions for a consultancy, managing day‑to‑day cyber defense while providing strategic oversight over cloud, SaaS, and hybrid infrastructures in a regulated, high‑availability environment. **Expectations** - 3‑month rolling contract. - On‑site presence 1 day per week. - Immediate ownership of security operations, incident response, and vulnerability management. **Key Responsibilities** - Mature SOC services: threat detection, incident response, vulnerability management. - Act as senior incident commander for high‑severity incidents, coordinating technical teams, executives, and third parties. - Own security operations across Google Cloud, AWS, and key SaaS platforms, enhancing visibility and reducing risk. - Embed security‑by‑design into new services, initiatives, and emerging technologies. - Translate cyber risk into clear, actionable insight for senior stakeholders. - Support audits and regulatory requirements (e.g., PCI DSS, Cyber Essentials Plus) and drive remediation. - Oversee third‑party and managed security service providers. - Lead, mentor and develop a high‑performing cyber operations team. **Required Skills** - Proven leadership in Cyber Security Operations within complex or regulated environments. - Deep experience in SOC operations, incident response, threat detection, and vulnerability management. - Strong knowledge of cloud and modern workplace security, especially Google Cloud and AWS. - Experience managing hybrid operating models and working with managed service providers. - Ability to communicate cyber risk effectively to technical and non‑technical audiences. - Proficiency in coordinating crisis response and multi‑stakeholder management. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Cyber Security, Information Technology, or related field (or equivalent experience). - Relevant certifications (CISSP, CISM, CompTIA Security+, or equivalent) preferred.

Northampton, United kingdom

Hybrid

Senior

29-01-2026

Company Name

LT Harper - Cyber Security Recruitment

Job Title

Senior ML Engineer

Job Description

**Job Title** Senior Machine Learning Engineer **Role Summary** Lead the transition of AI research prototypes to robust, scalable production systems within a fast‑growing startup. Own the end‑to‑end ML stack, optimization, and deployment of large foundation models, collaborating directly with founders to shape technical strategy. **Expectations** - Deliver production-ready foundation models and scalable training/inference pipelines. - Optimize performance across diverse hardware (CPU, GPU, accelerator). - Make architectural decisions and define benchmarking tools for continuous improvement. - Work autonomously in a high‑ownership, early‑stage environment. **Key Responsibilities** - Convert research prototypes into production‑ready models. - Design, implement, and maintain distributed training and inference workflows. - Profile, debug, and enhance model performance on various devices. - Architect end‑to‑end ML stack and enforce code quality best practices. - Develop internal evaluation, benchmarking, and tooling frameworks. - Provide technical direction and partners with founders on product roadmap. **Required Skills** - Proven experience building or scaling large ML/foundation models (e.g., MoE, state‑space). - Strong performance optimisation and debugging expertise in deep learning. - Hands‑on production experience with PyTorch and distributed training. - Familiarity with CUDA, Python, Azure (or equivalent cloud) for deployment. - Comfortable managing end‑to‑end ML lifecycle in an early‑stage startup. **Required Education & Certifications** - Bachelor’s or higher degree in Computer Science, Machine Learning, or related field, or equivalent practical experience. - Certifications in deep learning or cloud platforms are a plus.

London, United kingdom

Hybrid

Senior

05-03-2026

Company Name

LT Harper - Cyber Security Recruitment

Job Title

Senior AI / ML Engineer

Job Description

**Job Title:** Senior AI / ML Engineer **Role Summary:** Design, develop, and deploy production‑grade machine learning and generative AI solutions that enhance cybersecurity products. Collaborate with product, engineering, and data teams to integrate large language models (LLMs), embeddings, and retrieval‑augmented generation (RAG) pipelines into scalable, cloud‑native platforms. **Expectations:** - Deliver robust, production‑ready AI systems that address real‑world security challenges. - Maintain high code quality, reproducibility, and performance standards. - Stay current with state‑of‑the‑art AI/ML research and apply it to product development. - Communicate technical concepts clearly across multidisciplinary teams. **Key Responsibilities:** - Design and implement end‑to‑end ML pipelines and AI services for a cybersecurity platform. - Integrate LLMs, generative AI models, and RAG workflows into product features. - Build and maintain scalable AI infrastructure using cloud‑native technologies. - Conduct experiments in Jupyter notebooks, evaluate model performance, and iterate quickly. - Collaborate with product managers and engineers to translate business requirements into AI solutions. - Monitor, troubleshoot, and optimize deployed models in production environments. **Required Skills:** - Proficiency in Python and ML libraries (PyTorch, scikit‑learn). - Hands‑on experience with large language models, embeddings, and retrieval‑augmented generation. - Strong background in building cloud‑native, scalable AI systems (AWS, Azure, GCP or equivalent). - Expertise in model training, evaluation, deployment, and monitoring. - Familiarity with CI/CD for ML (MLOps) and containerization (Docker, Kubernetes). - Ability to work cross‑functionally and communicate technical ideas to non‑technical stakeholders. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or a related quantitative field (Master’s or Ph.D. preferred). - Relevant certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer) are a plus.

United kingdom

Remote

Senior

09-03-2026