Lead Consultant UK GCP Data & AI/ML Pre-Sales Architect

Devoteam Group
London
1 month ago
Applications closed

Related Jobs

View all jobs

AI Consultant

AI Consultant

AI Consultant

AI Consultant

AI Consultant

AI Consultant

Devoteam is a leading consulting firm focused on digital strategy, tech platforms and cybersecurity. By combining creativity, tech and data insights, we empower our customers to transform their business and unlock the future. With 25 years’ experience and more than 8,000 employees across Europe, the Middle East and Africa, Devoteam promotes responsible tech for people and works to create better change. Creative tech for Better Change.


Lead Consultant UK | GCP | Data & AI/ML Architect (Google Professional Cloud Architect)

Company Description

Our mission is to build cultures of innovation at companies by transforming the way they work and by elevating their customer experiences. As a Premier Google Cloud partner, we do this by implementing innovative Google Cloud solutions and by leveraging cutting-edge AI & Machine Learning technologies.

Devoteam G Cloud’s Certified Cloud Engineers build disruptive solutions on Google Cloud Platform to give organisations a competitive advantage and elevate their worker and customer experiences. We migrate legacy applications & IT infrastructure to modern Cloud-based solutions or build custom, scalable applications.

We give the workplace of the future shape with solutions like Google Workspace. Improving digital customer experiences is done by leveraging Big Data and Google AI & Machine Learning technologies leading to solutions such as chatbots and data lakes.

We are looking for ambitious people who want to grow with us and help companies build a culture of innovation with Google Cloud solutions. People who believe in self-development are the key to success.

If you are willing to work in a dynamic environment and make a difference within Europe’s top companies, then, keep on reading to see what we have to offer!

Job Description

About the role

As a Data & AI/ML Architect at Devoteam G Cloud UK, your mission is to help our existing customers get the best out of GCP by:

  • Conducting GCP Data Architecture and AI/ML Workshops

  • Take responsibility for delivery teams to ensure comprehensive implementation of customer projects

  • Proven experience in delivering complex technical designs and architectures

  • Design and deliver architectures that are fit for purpose, assessing the customer requirements and constraints

  • Creating solution architecture and technical design documents

  • Participate actively in the further development of frameworks, service concepts, service domains and products in the company

  • Assist in sales to new and existing customers

  • Actively contribute to continuous learning for yourself and your colleagues

  • Coaching and mentoring juniors

  • Stay up to date with current trends

What we are looking for

  • You have a computer science degree

  • You demonstrate ample individual delivery experience working with Google Cloud Platform

  • You have two or more Google Cloud Professional Certifications:

    • Cloud Architect

    • Data Engineer

    • Database Engineer

    • Machine Learning Engineer

  • You have extensive, hands-on experience with Data Lakes, ETL, BigQuery, Cloud Composer, Dataflow, Dataproc, Cloud SQL, BigTable, Spanner, etc

  • You speak English as the main language

  • You are entitled to work (and live) in the United Kingdom. We are unable to sponsor visas

  • Proficiency in writing Terraform code

  • You have experience setting up CI/CD pipelines for data and ML projects

  • Coding/scripting skills required, e.g. Python, Go, C(++)

  • Experience with DBT and/or Dataform

  • Experience with Dagster, airbyte, Fivetran and/or Hightouch

Soft skills:

  • Display the ability to present to both business and technical stakeholders

  • Build relationships with customers to influence their long-term strategic direction and act as a trusted advisor

  • Strong time management and prioritisation capabilities

  • Mentoring juniors engineers and contributing to the growth of the team

What we have to offer:

  • An exciting career where innovation in technology is not a buzzword but a reality at Google’s Cloud EMEA Partner of the Year

  • Continuous training & development of soft and hard skills, including training at several Google locations

  • A competitive salary, in line with your profile

  • A package of benefits including a workplace pension and private healthcare insurance

  • An awesome team of colleagues and regular team building activities

  • The ability to work with the world’s leading companies in technology and innovation

  • The possibility to work from home as well as from our London office.

  • An environment where we embrace openness, transparency and grab every opportunity to have fun, while always doing what is right for our customers and partners.

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.

Jobs

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

Jobs

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

Jobs

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

🍪 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.