Technical Architect

Leidos
2 weeks ago
Applications closed

Related Jobs

View all jobs

Technical Architect

Technical Architect, Cloud Native Technology Solutions

Technical Architect

IT Technical Architect

Sr. Customer Technical Architect

RMN Technical Architect

Description

Are you a leader looking to launch your career to the next level?

We are looking for aTechnical Architectwith a background in data and software development to support a major UK Government programme from locations throughout the UK.

Invent the future with Leidos UK! We pride ourselves on tackling the world’s toughest technical problems through innovation. Join us, be a part of the solution!

THE ROLE

You will work closely with delivery managers, fellow technical specialists, external partners and our customer’s teams to support the discovery, design, delivery and operation of a wide range of data solutions. You will undertake the following activities:

  • Analysis of technical requirements and issues.
  • Own the design of complex solutions which maximise automation and re-use of existing components.
  • Create technical specifications and documentation.
  • Contribute to task planning, estimation and scheduling.
  • Work with technical customer teams to deliver and implement an overall solution.
  • Provide technical guidance to developers and data engineers (customer and internal).
  • Assist in the resolution of operational issues.

PROFILE

Required Skills:

  • In depth knowledge and experience of designing, developing and integrating secure solutions in public cloud environments (e.g., AWS or Microsoft Azure).
  • Experience managing and deriving requirements and establishing and maintaining traceability between them and solution components.
  • Solid writing skills to include creating High-Level and Low-Level Designs and interface control documents.
  • Experience of standard engineering and service management methodologies.
  • Experience of database technology such as MySQL, Oracle or Amazon Redshift.
  • Experience of one of the following: Power BI, Pentaho Business Analytics, ElasticSearch, Solr, Apache Kafka.

Desired Skills:

  • Experience of Python and its numerical, data and machine learning libraries.
  • Exposure to ETL tooling.
  • Exposure to data science and analytical tooling such as SAS or Posit.
  • Design and development of solutions in performance critical environments.

What 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)

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.

Leidosis 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 caninspirechange.

Collaboration:havingflexibilityto 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:Leidosempowerspeople from every background to be themselves and gives you the tools to learn new skills byenabling growthwhilst developing. We believe that extraordinary people need opportunities to grow, tobe inspiredand to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Tips for Staying Inspired: How Machine Learning Pros Fuel Creativity and Innovation

Machine learning (ML) continues to reshape industries—from personalised e-commerce recommendations and autonomous vehicles to advanced healthcare diagnostics and predictive maintenance in manufacturing. Yet behind every revolutionary model lies a challenging and sometimes repetitive process: data cleaning, hyperparameter tuning, infrastructure management, stakeholder communications, and constant performance monitoring. It’s no wonder many ML professionals can experience creative fatigue or get stuck in the daily grind. So, how do machine learning experts keep their spark alive and continually generate fresh ideas? Below, you’ll find ten actionable strategies that successful ML engineers, data scientists, and research scientists use to stay innovative and push boundaries. Whether you’re an experienced practitioner or just breaking into the field, these tips can help you fuel creativity and discover new angles for solving complex problems.

Top 10 Machine Learning Career Myths Debunked: Key Facts for Aspiring Professionals

Machine learning (ML) has become one of the hottest fields in technology—touching everything from recommendation engines and self-driving cars to language translation and healthcare diagnostics. The immense potential of ML, combined with attractive compensation packages and high-profile success stories, has spurred countless professionals and students to explore this career path. Yet, despite the boom in demand and innovation, machine learning is not exempt from myths and misconceptions. At MachineLearningJobs.co.uk, we’ve had front-row seats to the real-life career journeys and hiring needs in this field. We see, time and again, that outdated assumptions—like needing a PhD from a top university or that ML is purely about deep neural networks—can mislead new entrants and even deter seasoned professionals from making a successful transition. If you’re curious about a career in machine learning or looking to take your existing ML expertise to the next level, this article is for you. Below, we debunk 10 of the most persistent myths about machine learning careers and offer a clear-eyed view of the essential skills, opportunities, and realistic paths forward. By the end, you’ll be better equipped to make informed decisions about your future in this dynamic and rewarding domain.

Global vs. Local: Comparing the UK Machine Learning Job Market to International Landscapes

How to evaluate opportunities, salaries, and work culture in machine learning across the UK, the US, Europe, and Asia Machine learning (ML) has rapidly transcended the research labs of academia to become a foundational pillar of modern technology. From recommendation engines and autonomous vehicles to fraud detection and personalised healthcare, machine learning techniques are increasingly ubiquitous, transforming how organisations operate. This surge in applications has fuelled an extraordinary global demand for ML professionals—data scientists, ML engineers, research scientists, and more. In this article, we’ll examine how the UK machine learning job market compares to prominent international hubs, including the United States, Europe, and Asia. We’ll explore hiring trends, salary ranges, workplace cultures, and the nuances of remote and overseas roles. Whether you’re a fresh graduate aiming to break into the field, a software engineer with an ML specialisation, or a seasoned professional seeking your next challenge, understanding the global ML landscape is essential for making an informed career move. By the end of this overview, you’ll be equipped with insights into which regions offer the best blend of salaries, work-life balance, and cutting-edge projects—plus practical tips on how to succeed in a domain that’s constantly evolving. Let’s dive in.