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

Apply Now

Software Architect, Intelligent Automation

SS&C Technologies Holdings
1 year ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist - AI

Data Analyst - Integrations

Senior Data Engineer

Machine Learning Engineer

Associate Data Engineer

Associate Data Engineer

Job Description

SS&C Blue Prism

SS&C Blue Prism allows organizations to deliver transformational business value via our intelligent automation platform. We make products with one aim in mind - to improve experiences for people. By connecting people and digital workers you can use the right resource, every time, for the best customer and business outcomes. We supply enterprise-wide software that not only provides full control and governance, but also allows businesses to react fast to continuous change.

 Exceed customer expectations, stay competitive, accelerate growth.

About the Role


We now seek a highly skilledSoftware Architectto join our dynamic team. As a Software Architect, you will be responsible for designing and implementing the overall structure of our software systems. You will collaborate with cross-functional teams to ensure the successful delivery of high-quality software solutions that meet our clients' needs. The ideal candidate will have a strong background in software development, excellent problem-solving skills, and a deep understanding of software architecture principles.

The successful candidate will be a strong collaborative team player who thrives on technical challenges, applies sound judgment and enjoys working as part of an agile team.

Your Responsibilities

  • Work closely with development team leads and senior developers to guide the evolution of our software towards a scalable, reliable, highly available and maintainable architecture.
  • Identify and mitigate technical risks and issues, ensuring timely resolution
  • Work with upper management and solution architect to define the business's longer-term technical vision.
  • When in a sprint team, work closely alongside product owners, developers, QA, etc. to ensure epics/user stories are delivered to high quality and pragmatically.
  • Define prototype/reference architectures to serve as blueprints during implementation.
  • Stay up-to-date with emerging technologies and industry trends, and recommend innovative solutions to enhance our software systems.

Your Experience

We seek proven experience as a Software Architect or a similar role, with a strong background in .NET C# software development.

Scalable distributed systems and experience with several of the following:

  • In-depth knowledge of software architecture principles, design patterns, and best practices.
  • Enterprise .NET development experience (8+ years) and in-depth knowledge of .NET eco-system (commercial and open source libraries, platforms etc.)
  • Database design, ORMs, efficient data access
  • OO design, modelling of complex domains, Domain Driven Design
  • Agile development practices includeClean Code, Code Complete, TDD, Unit Testing, Continuous Integration and Continuous Delivery.

Desirable skills:

  • Experience with alternative languages, application development frameworks and technologies, e.g. Python, node.js, Ruby
  • AI/Machine Learning/Computer Vision
  • Alternative RDBMS and NoSQL data stores
  • Containerisation and orchestration
  • Experience with cloud-based technologies and microservices architecture.

EEO Statement / Non-agency Disclosure

We encourage applications from people of all backgrounds and particularly welcome applications from under-represented groups, to enable us to bring a diversity of perspectives to our thinking and conversation. It's important to us that we strive to have a workforce that is diverse in the widest sense.

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.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 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.