National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

ServiceNow Administrator

Leidos
Hereford
8 months ago
Applications closed

Description ServiceNow Administrator Leidos require a ServiceNow Administrator who will be responsible for managing and maintaining the ServiceNow platform to ensure it operates efficiently and effectively. This role is based solely in office and involves configuring the platform, implementing new functionalities, maintaining system stability, and ensuring data integrity. The administrator collaborates with various stakeholders to understand their requirements, provide technical solutions, and support ongoing projects and operations. Everything we do is built on a commitment to do the right thing for our customers, our people and our community. Our mission and our values guide the way we do business. The foundation of our Leidos culture is our Values, Beliefs and Expectations by which we select, recognise and reward employees. They create the environment that drives us toward our mission. Passionate about customer success by being determined to understand and respond to our customers’ needs as if they were our own. United as a team, we are bound together by our conviction that ethics and integrity is core to how we operate. Leidos is a global science and technology solutions leader working to solve the world’s toughest challenges in the defence, intelligence, homeland security, civil, and health markets. The company’s 33,000 employees support vital missions for government and commercial customers. Candidate must be eligible to undergo security clearance (DV). Key Responsibilities Platform Management: Manage and maintain the ServiceNow platform, including upgrades, patches, and new releases. Monitor system performance and ensure high availability and reliability. Configuration And Customization Configure ServiceNow modules such as Incident, Problem, Change, Asset, and Configuration Management. Customize ServiceNow applications and facilitate the rollout of new applications and modules. Workflow And Process Automation Implement workflows, business rules, UI actions, and notifications. Automate routine tasks to improve efficiency and reduce manual intervention. Integration And Data Management Integrate ServiceNow with other enterprise systems using APIs, web services, and other integration tools. Ensure data integrity and consistency across the platform and perform regular data audits. Security And Compliance Implement and enforce security policies and access controls. Ensure compliance with organizational policies and industry standards. Continuous Improvement Stay updated with the latest ServiceNow features, best practices, and industry trends. Propose and implement improvements to the ServiceNow platform to enhance functionality and user experience. You Will Have ServiceNow Administrator Certification (CSA) is desirable. Additional certifications in ServiceNow modules (ITSM, CSM, ITOM, etc.) are preferred but training is available. Proven experience as a ServiceNow Administrator would be preferred. Strong understanding of ITIL/ITSM principles. Proficient in JavaScript, HTML, CSS, and other relevant scripting languages. Experience with REST/SOAP APIs and integration tools. Excellent problem-solving and analytical skills. Strong communication and interpersonal skills. Ability to work independently and as part of a team. Additional Skills Experience with Agile or Scrum methodologies. Familiarity with other IT service management tools. Knowledge of database management and Maria DB. Additional Considerations Due to the nature of this position, we require you to be eligible to achieve DV clearance. As a result, you should be a British Citizen and have resided in the UK for the last 10 years. WHAT DO WE DO FOR YOU? At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: Contributory Pension Scheme Private Medical Insurance 33 days Annual Leave (including public and privilege holidays) Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme) Dynamic Working Commitment To Diversity We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are Leidos UK & EUROPE – we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing . We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. Original Posting Date 2024-09-10 While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

National AI Awards 2025

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.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.