Department: Technical
Team: Networks
Location: London, Hybrid (remote considered in exceptional circumstances)
Position type: Permanent
What the hiring manager says
You are not expected to be an AI expert, but have a strong interest in transitioning to the role in a senior capacity.
You will be working for a world class AI applications and systems team. This is a new team with the opportunity to play a foundational role. We are moving from a successful proof-of-concept to product prototype phase. You will have the opportunity to learn new techniques and algorithms at the cutting edge of Natural Language Processing (NLP) and Large Language Model limitations (LLM).
Dr G.A.McHale, Technical Director, AI & Data Science
About the Team
The team is led by someone with more than 25 years AI experience in bio-inspired architectures, reinforcement learning, expert systems, scheduling, meta-heuristics, robotics and natural language processing (including LLMs). We have recruited an experienced scientific computing developer with a strong mathematics background in theoretical physics, whose responsibilities relate to distributed systems and the GPU optimization of AI algorithms. We expect the team to grow in size considerably over the next few years and are currently looking for someone with complementary expertise as a senior member of the team.
About the Role
Key accountabilities include :
These are quite broad based but include initially the optimization of existing algorithms, third-party technology evaluation integration, together with more general programming roles. At this stage we are a small team where everyone is expected to share the responsibility for less glamorous programming tasks! Over time it would be expected that you assume a more research-oriented role, with the ability to devise novel solutions to challenging problems. We have an existing code base, so you will be expected to assume some ownership and responsibility for existing code, with a view to maintenance and enhancement.
About You
You possess an academic background in mathematics, physics or engineering and have a passion for programming (desirable).
Academic skills should include literature search, mathematical fluency, critical thinking and inventiveness with regards to designing algorithm and model architectures.
You have proven programming skills, including implementing complex algorithms, testing, verification and may have written code for accessibility tools or productivity tools.
Although not essential it would be valuable if the candidate had some exposure to the user of development of LLMs Any telecommunications related expertise would be a bonus but is not mandatory.
Any knowledge of AI techniques related to NLP, Reinforcement Learning, or Agent-based-modelling are desirable, but are not essential.
Candidates that have followed a non-conventional career paths are encouraged to apply, however high numeracy skills and demonstrable programming experience is essential.
It is desirable that you have (at a minimum) a Master’s degree or Doctorate qualification.
You demonstrate effective team skills including being adaptable and collaborative.
About your skills
Key skills for this role would include Teamwork, Commercial Awareness, Innovation, Research and Analysis, along with some key technical skills encompassing Mathematical fluency, Programming and Engineering.
We strive to offer a meaningful and inclusive application experience for all candidates. Should you require any accommodations or adjustments due to a disability or for any other reason during the hiring process, please contact talent@gsma.com with your request.
Contract type
RegularWorker type
EmployeeWorking 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.