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LT Harper - Cyber Security Recruitment

LT Harper - Cyber Security Recruitment

www.ltharper.com

5 Jobs

18 Employees

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 background Company brand
Company Name
LT Harper - Cyber Security Recruitment
Job Title
Data Scientist
Job Description
**Job Title** Data Scientist (GenAI & ML) **Role Summary** Design, develop, and deploy scalable data science and GenAI solutions that deliver measurable business impact. Collaborate with engineering teams and stakeholders to transform data into actionable insights and production-ready products. **Expectations** - Deliver end‑to‑end machine learning solutions, from prototype to production. - Communicate complex technical concepts clearly to technical and non‑technical audiences. - Maintain high standards of documentation, reliability, and performance. - Apply a customer‑centric, pragmatic approach focused on value delivery. **Key Responsibilities** - Build and maintain scalable data science products using statistical and ML techniques. - Conduct data analysis to generate actionable business insights. - Partner with data engineers, software engineers, and business stakeholders to create end‑to‑end solutions. - Employ GenAI methods (LLMs, RAG) throughout the data lifecycle. - Ensure solutions are well‑documented, reliable, and ready for production. **Required Skills** - Strong programming in an object‑oriented language (Python, Java, etc.). - Solid grasp of statistics and machine learning fundamentals. - 5+ years of hands‑on experience designing, prototyping, productionizing, and maintaining data science solutions in complex environments. - Advanced SQL proficiency. - Ability to build reusable, scalable data science products. - Excellent written and verbal communication skills. - Customer‑centric, pragmatic mindset with a focus on value delivery and execution. **Required Education & Certifications** Not specified.
London, United kingdom
Hybrid
Mid level
18-12-2025
Company background Company brand
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 background Company brand
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 background Company brand
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