Network Engineer
Permanent – Hybrid
Greater Manchester
Join a high‑performing technology function responsible for the resilience, performance, and evolution of critical network services across a fast‑moving, multi‑site organisation. As a Network Engineer, you’ll play a key role in designing and delivering network‑focused projects, optimising complex, high‑availability environments, and supporting day‑to‑day operational activities that keep the business running smoothly.
This is a collaborative team with a supportive, close‑knit culture — a place where people enjoy working together, share knowledge openly, and step in to help one another when challenges arise. Everyone has a voice, and contributions are both encouraged and valued, whether resolving a major incident, shaping technical decisions, or improving best‑practice.
Key Responsibilities
• Ensure the availability and stability of core infrastructure and network services.
• Diagnose, troubleshoot, and escalate across a broad range of networking products and hardware.
• Identify performance bottlenecks in complex network environments and drive optimisation activities.
• Produce clear procedural documentation for all end‑users.
• Handle escalated customer or business issues at the appropriate technical level.
• Campion collaboration in the support & resolution of complex technical and business challenges.
• Collaborate with analysts, engineers, and project teams to share insight, develop ideas, and contribute to delivery.
Skills & Experience Required
• Strong knowledge of enterprise‑grade network hardware, specifically Cisco switches, routers, and firewalls (Catalyst, Nexus, ISR, ASR, ASA).
• Deep knowledge of Palo Alto firewalls, with demonstrable maintenance & deployment experience.
• Hands‑on experience with Cisco IOS, VLANs, EIGRP, OSPF, BGP.
• Experience with modern wireless solutions (ideally Meraki).
• Familiarity with WAN point‑to‑point links and MPLS.
• Familiarity with VPN; SSL & IPSEC.
• Exposure to Monitoring systems like SolarWinds or Zabbix and understanding of Zero Trust environments.
Key Information
Visa sponsorship is not available at this time.
Hybrid working requires candidates to live within a reasonable commuting distance.
Rewards & Benefits
• Competitive salary aligned with experience
• 28 days annual leave, plus bank hols, plus volunteer days
• Pension & life assurance options
• Training & Development Academy
• Enhanced policies for Maternity, Paternity, Adoption
• Opportunities for flexible working
• A range of opt-in-options, such as Private Medical, Dental etc
• A range of life-style and high-street discount options
Keyword Terminology
Networking Engineer, Networking Specialist, Networking, Cisco, Palo Alto, Firewalls, Routing & Switching, Catalyst, Nexus, ISR, ASR, ASA, OSPF, BGP, EIGRP, High‑Availability, Meraki, MPLS, WAN, VPN, SSL, IPSEC, Infrastructure, Troubleshooting, Operational Support, CCNA, CCNP, CCIE
Generative AI Engineer
Permanent
Manchester
Join our client in influencing the future of enterprise AI. As a Senior or Lead Engineer, you’ll drive innovation by building and deploying cutting-edge Generative AI applications that empower thousands daily. This is your opportunity to contribute to the leadership of a team who influence AI strategy and deliver solutions that transform efficiency at scale.
Duties of the Gen AI Engineer will include:
• Architect, develop, and deploy high-impact GenAI applications into production.
• Evaluate and optimize Large Language Models (LLMs) for performance and accuracy.
• Collaborate with cross-functional teams to integrate AI solutions seamlessly.
• Champion best practices in prompt engineering and model evaluation.
• Mentor and grow engineering talent, fostering a culture of excellence and continuous improvement.
• Stay ahead of emerging AI trends, helping shaping the organization’s AI roadmap.
To be successful in progressing with the Gen AI Engineer, your experience must include:
• A proven expertise in Python development of AI-driven applications.
• Hands-on experience with LLMs and prompt optimization.
• Strong knowledge of AWS services (Bedrock, Lambda, S3, Lex, CloudWatch).
• Ability to lead and inspire teams, with excellent communication skills.
• Familiarity with DevOps practices (CI/CD pipelines, GitLab Runners, Jenkins)
• Familiarity with Infrastructure as Code (Terraform, CloudFormation).
• Experience with containerization (Docker) and deployments to ECS/EKS.
• Ideally career experience to include regulated environments, data engineering concepts, and security best practices.
Rewards & Benefits
• Competitive salary and performance-based bonus.
• Flexible hybrid working model.
• Comprehensive benefits package including pension, health coverage, and wellness programs.
• Continuous learning opportunities: certifications, AI training, and leadership development.
• A culture that values innovation, collaboration, and diversity.
Keywords Generative AI Engineer, AI Solutions Engineer, AI Application Engineer, Machine Learning Engineer, LLM, Python, AWS Bedrock, Prompt Engineering, DevOps, CI/CD, Terraform, Docker, AI Strategy, Machine Learning, Large Language Models.
