Application Support Engineer

Raytheon Technologies
Livingston
11 months ago
Applications closed

Related Jobs

View all jobs

AWS Support Engineer / Data Engineer Telecom Domain

Junior Data Engineer

SQL Data Engineer

Data Engineer

Machine Learning Engineer

Machine Learning Engineer

Date Posted:2025-03-10

Country:United Kingdom

Location:GBR02: Glenrothes, Scotland, Queensway Industrial Estate, Glenrothes, KY7 5PY

Position Role Type:Unspecified

Job Title: Application Support Engineer

Location: Glenrothes or Livingston in Scotland or Harlow in Essex (Hybrid working with a minimum of 2 days a week on site).

Raytheon UK has an opportunity for an experienced IT professional to support applications used by our Engineering & Manufacturing functions across the business.

The support team sits within the Digital Technology function and is responsible for the delivery and support of application solutions for our UK-based Engineering and Manufacturing teams which in turn provides key enable technologies to drive business operations. This role is responsible for supporting and maintaining the full application life cycle and day-to-day operation along with servicing any new business requirements/configuration changes and new stand-ups, utilising industry standard best practice. This role will also play a major part in understanding new business requirements, testing and integration of applications and alignment of interdependencies between application and data sets.

Reporting to the Engineering & Manufacturing Service Owner, you will be operationally focused and will support optimal use of application technologies, driving to improve business efficiency, reduce risk and maximise customer engagement, both internally and externally.

Role Summary

  • Maintaining software lifecycles, working on new and existing requirements, testing/integration and implementation, performance tuning and patching, including some periodic monthly out of hours working.
  • Ensuring operational integrity and compliance covering information security, change management, asset management and software licensing.
  • Provide 3rd line expertise and troubleshooting of all related service issues including management of vendors to ensure services are fully operational and performing as expected.
  • Support the development and implementation of key service level agreements (SLAs) and operational level agreements (OLAs).
  • Manage incidents, problems and changes to the service efficiently and effectively following the agreed and documented processes including planning the release of updates into service in line with technology roadmaps and demand management.
  • Maintain system documentation, support procedures and rota/cover arrangements with actively managed preventative upgrade cycles.
  • Support to provide effective operational supplier performance and repairs & maintenance contracts, including software licensing compliance, software license & support contract agreements and renewals.
  • Carry out a programme of daily/weekly/monthly checks and develop approaches to improve, streamline and automate the health status of the environment.
  • Collaborate across the breadth of the DT function, develop strong relationships with stakeholders to ensure that services are supported by the appropriate technical specialists.
  • Ensure backup schedules & data retention and periodic maintenance are aligned to company requirements and standards.
  • Proactive identification and management of risks to services. Proposing suitable risk mitigation treatment plans in line with departmental approach to risk management.
  • Agree and participate in scheduled BC/DR exercises, to ensure that service is tested and DR ready.

Candidate Requirements

Essential

  • Bachelor’s degree or higher in Computer Science, Information Technology or related field or equivalent work experience
  • Have an understanding of ITIL best practice
  • Working knowledge of Active Directory
  • Working knowledge/experience of scripting languages (e.g. BASH/Python/Powershell/Windows Commandline)
  • Working understanding of relational and flat file database technologies.
  • Excellent troubleshooting skills with experience working with vendors to identify and resolve issues.
  • Demonstrated ability to effectively prioritise and execute tasks in a fast-paced environment.
  • Excellent attention to detail with a focus on continuous service improvement
  • Demonstrated flexibility and ability to manage ad-hoc requests
  • Demonstrable evidence of effective problem-solving skills in complex support incidents.
  • Excellent relationship skills - the ability to build positive relationships with both technical and business personnel.
  • Experience of delivering high demand technical services in a complex matrix structure.
  • Good written and oral communication skills
  • Experience supporting a wide range of Commercial off-the-shelf (COTS) applications
  • Ability to demonstrate effective collaboration capability within virtual teams and multi-party environments.
  • SC cleared or the ability to become SC cleared.

Desirable

  • Working knowledge of Digital Documentation/Requirements/Release Systems such as Windchill/Team Centre/Doors and associated ECAD, MCAD, Modelling and Simulation technologies would be advantageous. Examples of applications used are Ansys, Matlab, AutoCAD/Creo, Xpedition/ORCAD/KiCAD.
  • Experience working in an Agile delivery organisation
  • Knowledge of Virtualised server architecture
  • Knowledge and experience of project and service delivery disciplines including business analysis and requirements gathering, resource planning, ability to create project proposals. Full project lifecycle experience, user support & training experience.
  • Experience of SCCM operations, application packaging and deployment environments.

#LI-MF1

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.

Privacy Policy and Terms:Click on thislinkto read the Policy and Terms.

#J-18808-Ljbffr

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 Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.