Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Provisioning Engineer

Infogain
11 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Operations Engineer

Machine Learning Operations Engineer

Lead Data Scientist

Job Title: Backbone Provisioning Engineer (Optical/IP)Location: London (UK).Role Description: We are offering an exciting opportunity to join our network infrastructure team, focused on Backbone provisioning and deployment. As a Backbone Provisioning Engineer, you will be responsible for deploying and maintaining global backbone network, with a focus on both optical and IP technologies. You will work closely with other teams to ensure the reliable and efficient delivery of network capacity to meet the demands of end users. This fast-paced role demands strong organizational skills, multitasking abilities, and a team-oriented mindset.Responsibilities:Design, deploy, and maintain global backbone network, including optical systems, IP routing, and switching infrastructureWork with internal stakeholders to understand network capacity requirements and develop plans to meet those needsImplement network designs, configurations, and standards to ensure optimal performance and reliabilityCollaborate with external vendors and partners to deploy network equipment and servicesTroubleshoot and resolve network issues, working with internal teams and external vendors as neededDevelop and maintain documentation of network designs, configurations, and proceduresStay up to date with industry developments and emerging technologies in both optical and IP networkingParticipate in on-call rotation for network support and maintenanceRequirements:Bachelor’s degree in computer science, Electrical Engineering, or a related field5+ years of experience in network engineering, with a focus on both optical and IP technologiesStrong knowledge of optical networking principles, including WDM, DWDM, and optical switchingExperience with optical network design and deployment, including equipment from vendors such as Ciena, Infinera, and CiscoStrong understanding of IP networking protocols and architectures, including BGP, ISIS, and MPLSFamiliarity with network management systems and tools, such as SNMP, TL1, and XMLExcellent problem-solving and analytical skillsStrong communication and collaboration skills, with ability to work effectively with internal teams and external vendorsNice to Have:Experience with software-defined networking (SDN) and network automation toolsKnowledge of data center networking and cloud computing architecturesFamiliarity with network security principles and best practicesExperience with network simulation and modeling toolsCertifications in optical networking, such as CCNA-O or CCNP-O, and/or IP networking, such as CCNA or CCNPWhy Join Us:Join our innovative team and work on cutting-edge network projects that span the globe. You'll have the opportunity to grow your skills, contribute to significant infrastructure projects, and collaborate with talented professionals in a fast-paced and supportive environment.About the Company:We combine people, platforms, and software. Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, and retail industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).Infogain, an Apax Partners portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, New Delhi, Mumbai, Pune, and Bengaluru.https://www.Infogain.Com/

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.