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

Apply Now

Windows Administrator-SCOM

HCLTech
Reading
5 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst and Test Engineer

Sr. Data Engineer

Sr. Data Engineers to work with data from across the spectrum of healthcare domains, refining requirements with customers, developing data models, extracting data from various source systems and database formats

ArcSight Data Engineer (DV Security Clearance)

Imaging Data Engineer

Senior Data Scientist

We are a $13+ billion global technology company, home to more than 224,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud, and AI, powered by a broad portfolio of technology services and products.


HCLTech is a globally recognized leader in the Tech and IT industry, but we’ve never forgotten the startup mindset that got us here. We’ve always approached our work with an idea-first attitude because every one of our accomplishments —no matter how big or small —can be traced back to an idea’s single spark.


It’s that spark —that inner drive —that sets our people apart from our competitors. It enables us not just to pull off game-changing feat after game-changing feat but to better our world in the process. We want you to find your spark. Because that’s what drives you to be better, be more and ultimately, be more fulfilled.


Here is an opportunity is to be part of HCL Technologies


Hybrid working(2-3 days in week either location)

Location – Multiple sites (Can work from either location)Reading or Portsmouth or"Perth (Scotland)"


Role definition

You will support Operations Infrastructure and represent HCL in customers control centers, solving issues and providing support to the software and infrastructure at these sites.

Expected qualification and critical experiences -

  • BAU engineer based on customer sites to support critical national infrastructure services.
  • Perform queue-based hardware, software and user fault management within predefined SLAs
  • Out of hours support rota once trained
  • Excellent problem-solving skills
  • Ability to work in a pressurized environment
  • Some hybrid working available
  • Good customer service skills


Mandatory Education, Skills & certification -

  • Subject Matter Expert for SCOM 2019. Able to maintain and upgrade environments and configure Management packs.
  • SCOM to Service now integration
  • Excellent knowledge of Microsoft Server 2016 and 2019, 2022 SCCM, DNS, DHCP
  • Performance and Network tuning techniques
  • Hyper-V and VMWare
  • Knowledge of OS Patching, upgrades, antivirus and domain security tools


Mandate Requirement-

· Driving license essential

· Must meet requirements to become SC cleared


Desirable Skills -

· Citrix 7.15 or above, PVS or Netscaler

· Microsoft System Center Orchestrator (Scorch)

· PowerShell

· Cyberark

· IT Service Now

· SQL, NetBackup, Rubrik

· Redhat Linux, Oracle


Benefits

  • A supportive, diverse and global team with a brilliant culture.
  • A flexible (remote) working environment
  • Competitive compensation and benefits that includes up to 20 days’ vacation per year, various insurances like Term life, AD &D and Business Travel insurance. These are apart from the statutory benefits applicable in the country.
  • Great opportunities to make the role your own, upskill yourself and get involved with exciting projects
  • Total Wellbeing is our focus. Alongside your professional excellence, you join the likeminded colleagues to create a larger impact within the company and society at large in your chosen area of passion - CSR Council, Diversity Council, Sparks – Engagement Champion to name a few.
  • To know more about us visit – www.hcltech.com



Benefits

  • A supportive, diverse, and global team with a brilliant culture.
  • Some hybrid working available
  • A flexible (remote) working environment
  • Competitive compensation and benefits that includes vacation per year, various insurances like Term life, AD &D and Business Travel insurance. These are apart from the statutory benefits applicable in the country.
  • Great opportunities to make the role your own, upskill yourself and get involved with exciting projects
  • Total Wellbeing is our focus. Alongside your professional excellence, you join the likeminded colleagues to create a larger impact within the company and society at large in your chosen area of passion - CSR Council, Diversity Council, Sparks – Engagement Champion to name a few.

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.

Careers

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.

Jobs

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Jobs

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.