Solutions Architect

Jas Gujral
London
1 month ago
Applications closed

Related Jobs

View all jobs

Solutions Architect

Solutions Architect - Applications, DevOps - eCommerce, Shopify

Senior Solutions Architect

Data Solutions Architect (Azure & MS Fabric)

Data Architect / DBA (Azure, Cloud) - Active SC Clearance

SC Cleared Azure Data Architect/DBA (Azure SQL, Cloud)

Solutions Architect Our Client is an internationalconsultancy with over 3000 employees. They are now looking torecruit a Senior Solutions Architect to be based at the Company’sCentral London Offices. You will have extensive and deep expertisein the following Application Development areas: - Expertise inapplication architecture using modern technologies such as cloudnative development, 12 factor Apps, microservices, serverless, APImanagement, Kafka, etc. - Deep knowledge of Microservices,Containers, REST APIs development, API Management tools (e.g.MuleSoft, Apigee), Kafka - Solution architect with broad expertisein a wide range of digital technologies in areas of applicationplatform development, web and mobile development, cloud,integration, security, etc. - Application development experiencewith at least one of the cloud providers - Amazon AWS or MS Azure -Understanding of distributed computing paradigm and exposure tobuilding highly scalable systems. - Experience with platformmodernization and cloud migration projects - Expertise in Agiledevelopment methodologies like TDD, BDD, Performance/Load testingetc. - DevOps experience – CI/CD, Test Automation, Containerization– tools and processes - Should be conversant with emergingtechnologies - chatbots, voice/conversational interfaces, RPA,Machine Learning, etc. - In-depth, hands-on experience indeveloping web/mobile applications or platforms with eitherJava/J2EE or .NET tech stack and database technologies such asOracle, MySQL, etc. - Exposure to polyglot programming languageslike Scala, Python and Golang will be a plus - Ability toread/write code and expertise with various design patterns - Haveused NoSQL databases such as MongoDB, Cassandra, etc.Responsibilities include: - Work on opportunities along with sales,practice, delivery teams through the pre-sales process - Developcustomer proposals – solution architecture, pitch decks, estimatingsolution effort, resourcing and timelines - Translate requirementsinto solution architecture diagrams, implementation roadmap,delivery approach and other artifacts - Understand business &technology issues/challenges and translate that into moderntechnology solutions - Engage with business and IT groups to alignsolution architecture with strategic business direction - Build atrusted advisor relationship with business and technology leaders -Stay periodically engaged throughout the entire project lifecycleto ensure ongoing alignment to established solution visionQualifications: - Bachelors or master’s degree in engineering(computer, electronics, etc.) - 20+ years of Solutions Architectureexperience (or equivalent enterprise architecture experience) andin customer-facing roles - Vertical domain knowledge in FinancialServices will be an advantage - Excellent written and verbalcommunication skills - Experience in client-driven large-scaleapplication platform implementation projects - Experience anddesire to work in a global delivery environment - Ability to travelup to 40% - Familiarity with architecture modelling tools. TOGAFexperience/certification desired but not necessary - Proven trackrecord of designing/developing scalable solutions at the enterpriselevel - Demonstrated success in quickly understanding businessneeds and aligning it to technology solutions - Experiencedelivering solutions using an Agile/Scrum methodology Strongcommunication skills (e.g. active listening, requirementselicitation, oral, written, presentation, workshop facilitation,consensus building) are essential. The Client's offices are basedin Holborn – Central London. The salary for this position will bebased on expertise and will be in the range £90K - £120K. Please dosend your CV to us in Word format along with your salary andavailability. #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.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.