AI Engineer (Full Stack)
London, United Kingdom
What the hiring manager says
This is a unique opportunity to shape the future of AI at GSMA from the ground up. As the first technical hire in the AI team, you will play a crucial role in developing and embedding AI solutions across the organisation. We’re looking for someone who thrives in creating new tools, enjoys problem-solving, and can make AI practical and accessible to our internal teams. The work will span from trial phases to full-scale rollouts, ensuring our AI capabilities are impactful, secure, and fit for purpose. We will work to ensure you can focus on what you do best: building and developing AI-powered solutions. We’re looking for someone who is curious, eager to learn, and keen to expand their skills as the AI space evolves.
Jonty Bouskill, Head of AI Operations
About the Team
The AI function at GSMA is in its early stages but has already made significant strides with AI-driven proofs of concepts and full product rollouts. As AI becomes more embedded in our workflows, the team will focus on building bespoke AI solutions that address internal challenges and create efficiencies. Our goal is to build practical AI solutions that address internal challenges and improve efficiency across the business. The team will grow over time, but right now, we are focused on creating tools that show immediate value. This role is perfect for someone who thrives in a hands-on, development-focused environment and is passionate about building solutions that make a tangible impact.
About the Role
You will be responsible for developing and deploying AI-driven solutions that enhance productivity, automate tasks, and integrate seamlessly with our existing technology stack. By collaborating with internal teams, you will turn business challenges into AI-powered solutions, developing prototypes and scaling successful tools across the organisation. A key part of the role involves bridging the gap between AI research and practical application, ensuring that AI becomes an essential tool for teams across GSMA. Success in this role will be measured by your ability to build functional AI solutions that are adopted widely and add tangible value.
A significant part of your role will be staying curious – experimenting with new AI technologies, learning new frameworks, and continually expanding your skillset. We’re looking for someone who sees AI development as a craft, constantly seeking ways to refine and grow their expertise. Success in this role will be measured by the quality and functionality of the solutions you build, and your ability to quickly apply new learnings to GSMA projects.
About You
You will have a solid background in AI development, with notable experience in applying machine learning techniques to solve real-world problems. You’ve built prototypes or deployed AI models that address business challenges, and you understand the nuances of taking an AI concept from development to integration within an organisation’s existing workflows.
You will bring hands-on expertise in programming (Python is essential), working with machine learning frameworks such as TensorFlow or PyTorch, and deploying AI solutions on cloud platforms like Azure or AWS. Additionally, you’ll be adept at handling data pipelines, integrating APIs, and working with databases to support AI development.
You will also have an appreciation for user-facing solutions, with experience in front-end development (HTML, JavaScript, or similar) to ensure the tools you build are accessible and intuitive for internal users. While front-end work isn’t the core focus of this role, having the ability to develop basic interfaces or collaborate with design teams will set you apart.
You will be naturally curious and eager to learn. Whether it’s picking up new skills, testing out the latest AI tools, or expanding your technical knowledge, you’ll see this role as an opportunity to grow. You’ll enjoy iterating and refining AI solutions to ensure they’re practical, impactful, and widely adopted across the organisation.
Demonstrable experience in AI/ML development, including building and deploying models to solve business problems.
High proficiency in Python (essential) and experience with frameworks like TensorFlow, PyTorch, or similar.
Strong understanding of machine learning pipelines, from pre-built models to full integration.
Experience deploying AI solutions in cloud environments (Azure, AWS).
Ability to work with APIs, databases, and structured/unstructured data to develop robust AI solutions.
Familiarity with front-end development (HTML, JavaScript, or similar) to support the creation of user-friendly AI tools.
Experience working with cross-functional stakeholders from across the business, in realising ideas from proof of concepts through to enterprise-ready solutions.
Strong communication skills and an ability to be able to explain technical details to non-technical stakeholders
A passion for researching, learning and applying new AI technologies to drive innovation.
Bonus Skills (Nice to Have):
Experience working with Azure AI Studio, Salesforce Einstein, IBM Watson X or comparable enterprise solutions
Experience working with M365 tools, including Power Platform (Power Automate, Power BI, etc.).
Background in building AI chatbots or conversational agents.
Contract type
RegularWorker type
EmployeeWhat We Offer
Working at the GSMA offers you unparalleled access to the mobile industry. We offer a chance to truly shape the direction of mobile, whatever your role. By joining the GSMA, you will be exposed to a fast-paced rapidly evolving environment, working on global solutions, genuinely fascinating and industry-changing projects and a stimulating and dynamic environment designed to enable you to flourish.
In addition to architect-designed offices and competitive compensation, our benefits include fantastic learning & development opportunities, generous holiday allowances, four additional days off for professional development and many others.
To learn more about the GSMA, visit our career site, our LinkedIn page and our Twitter page.
Being You at the GSMA
We care deeply about diversity, equity and inclusivity and aspire to be the best at it. Your well-being and work/life balance is important, so flexi-time and remote working is available to all staff. We're keen to ensure everyone is equal, represented and connected so we particularly encourage applications from all demographics. The sucess of the GSMA year on year will continue to be contributed by people from all walks of life.
GSMA Values
Our values not only drive our culture – they shape how we work and interact inside and outside our global organisation.
Passionately driven
We approach everything we do with unparalleled capability, tenacity and commitment, knowing that the challenging scale, pace and complexity of our work is what leads to its world-changing impact.
Insightful leaders
We continually develop and engage our expertise, insight and creativity so that we’re always ready to respond to the changing landscape with authority, agility and nuance.
Stronger together
We lean on each other so the industry can lean on us, embracing our diversity by actively seeking out perspectives and skill sets beyond our own, fuelling each other’s successes and constantly asking how we can help.
Underpinning our values is our collective mindset to show up purposefully as good human beings every day, in every situation. When we’re at our best – we are collaborative, considerate and compassionate to others, and we create a safe space for one another to thrive, assuming positive intent in our colleagues. And if we aren’t at our best and the pressure is on – we feel free to be ourselves but still remain curious, lean into the tough stuff and we are always respectful to others and accountable for the part we play.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Azure Chatbots Data pipelines JavaScript Machine Learning Pipelines Power BI Python PyTorch Research Salesforce TensorFlow Testing Unstructured data
Perks/benefits: Career development Competitive pay Equity / stock options Salary bonus
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