Application Architect

Axiom Software Solutions Limited
London
2 months ago
Applications closed

Related Jobs

View all jobs

Solutions Architect - Azure; DevOps - Power Platform - Shopify

Senior Solutions Architect

Data Engineering Lead / Data Architect

Senior Machine Learning Engineer - 3D

Director of Machine Learning

Technical Trainer

Application Architect

Job Type : Contract 6+ Months- Inside Ir35

Job Location : London, UK

Client : Wipro

Job Description

Role Purpose

The purpose of the role is to create exceptional and detailed architectural application design and provide thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction.

͏

Do

1. Develop architectural application for the new deals/ major change requests in existing deals

a. Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable.

b. Manages application assets and directs the development efforts within an enterprise to improve solution delivery and agility

c. Guides how to construct and assemble application components and services to support solution architecture and application development

d. Maintains the frameworks and artefacts used in the implementation of an application, with reference to the systematic architecture of the overall application portfolio

e. Responsible for application architecture paradigms such as service-oriented architecture (SOA) and, more specifically, microservices, ensuring business achieve agility and scalability for a faster time to market

͏

f. Provide solution of RFP’s received from clients and ensure overall design assurance

•Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives

•Analyse technology environment, enterprise specifics, client requirements to set a collaboration design framework/ architecture

•Depending on the client’s need with particular standards and technology stacks create complete RFPs

•Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology

• Define and understand current state solutions and identify improvements, options & tradeoffs to define target state solutions

•Clearly articulate and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps

•Evaluate and recommend solutions to integrate with overall technology ecosystem

•Tracks industry and application trends and relates these to planning current and future IT needs

g. Provides technical and strategic inputs during the project planning phase in the form of technical architectural designs and recommendations

h. Account mining to find opportunities in the existing clients

i. Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture.

j. Identifies implementation risks and potential impacts.

k. Create new revenue streams within applications as APIs that can be leveraged by clients

l. Bring knowledge of automation in application by embracing Agile and dev-ops principles to reduce manual part

͏

2. Understanding application requirements and design a standardize application

a. Creating Intellectual Property in forms of services, patterns, models and organizational approaches

b. Designing patterns, best practices and reusable applications that can be used for future references

c. Ensure system capabilities are consumed by system components and set criteria for evaluating technical and business value in terms of Tolerate, Invest, Migrate and Eliminate

d. Provide platform to create standardize tools, uniform design and techniques are maintained to reduce costs of maintenance

e. Coordinating input on risks, costs and opportunities for concepts

f. Developing customised applications for the customers aligned with their needs

g. Perform design and code reviews thoroughly on regular basis, keeping in mind the security measures

h. Understanding design and production procedures and standards to create prototypes and finished products

i. Work closely with systems analysts, software developers, data managers and other team members to ensure successful production of application software

j. Offer viable solutions for various systems and architectures to different types of businesses

k. Seamless integration of new and existing systems to eliminate potential problems and maintain data structure and bring value in terms of development

l. Transforming all applications into digital form and implement and evolve around mesh app and service architecture that support new technologies like IOT, blockchain, machine learning, automation, BOTS etc

͏

m. Cloud Transformation: (Migration)

•Understanding non-functional requirements

•Producing artefacts such as deployment architecture, interface catalogue

•Identify internal and external dependency, vendor and internal IT management

•Support build and testing team

n. Cloud Transformation: (Modernization)

•Understanding and Defining target architecture in Integration space

•Assessing project pipeline / demand and align to target architecture

•Technical support of delivery team in terms and POC and technical guidance

o. Keep Up-to-date with the latest technologies in the market

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.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.