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

Apply Now

Principal Architect

Fractal
London
6 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Engineer/Architect

Lead Data Engineer, Machine Learning

Principal Consultant - Data Engineering (DBT)

Principal Data Scientist

Principal MLOps Machine Learning Operations Developer for AI Research

Principle Data Engineer

. Principal Architect page is loadedPrincipal Architect****Principal ArchitectlocationsLondon time typeFull time posted onPosted Today time left to applyEnd Date: March 31, 2025 (30+ days left to apply) job requisition idSR-29266 It's fun to work in a company where people truly BELIEVE in what they are doing!We're committed to bringing passion and customer focus to the business.Principal ArchitectFractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.Please visit for more information about FractalLocation:London, UKResponsibilities:* Evaluate the current technology landscape and recommend a forward-looking, short, and long-term technology strategic vision.* Engage with senior technical leaders at the client site, becoming a trusted thought partner by understanding their challenges and providing strategic guidance.* Build and maintain strong relationships with senior client leaders and cross-functional stakeholders.* Proactively understand client needs and align them with Fractal’s value propositions, proposing innovative and comprehensive solutions.* Collaborate with offshore delivery teams and other multidisciplinary teams within Fractal to ensure seamless integration and delivery of solutions.* Be willing to take a hands-on approach to understand complex contexts and underlying client requirements.* Participate in the creation and sharing of best practices, technical content, and new reference architectures.* Provide technical architecture leadership and direction on projects, ensuring secure, scalable, reliable, and maintainable platforms.* Work with data engineers and data scientists to develop architectures and solutions.* Assist in ensuring the smooth delivery of services, products, and solutions, while balancing immediate client needs with long-term technical strategy.Success Profile:* In-depth experience as an Architect with expertise in Google Cloud Platform and a passion for applying the latest technologies to solve complex business problems. An ideal candidate would have:* 12+ years of experience in Data Engineering and Cloud Native technologies (including Google Cloud Platforms), covering big data, analytics, and AI/ML domains.* Extensive experience with GCP tools and technologies, including BigQuery, Cloud Composer, Data Flow, Cloud Storage, Vertex AI, and Dataproc.* Expertise in creating, deploying, configuring, and scaling applications on GCP serverless infrastructure.* Strong knowledge and working experience in Data Engineering, Data Management, and Data Governance.* Proven track record of delivering multiple end-to-end Data Engineering, Data Warehousing, or Analytics projects.* Knowledge of general programming languages and frameworks, particularly Python and/or Java.* Familiarity with general technology best practices and development lifecycles such as Agile and CI/CD, as well as DevOps and MLOps for more efficient data and machine learning pipelines.* Ability to design and implement future-proof, complex global solutions using GCP services.* Hands-on experience with foundational architectures, including microservices, event-driven systems, and event streaming, and online machine learning systems.* Excellent communication and influencing skills, with the ability to adapt messages to various audiences and build consensus.Preferred Qualifications* Experience in container technologies, specifically Docker and Kubernetes.* Experience or knowledge of DevOps on GCP.* Google Cloud Professional Cloud Architect Certification.* Demonstrated ability to navigate complex stakeholder environments and build strong, lasting relationships.* Hands-on approach and willingness to delve into technical details to understand the full context of a problem and ensure the best solutions are provided.* Experience with AWS, especially in the context of hybrid cloud setups.Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!Introduce Yourselfin the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!#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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.