Department:
Technology
Team:
Networks
Location:
London, Hybrid (2 days a week in the office)
Position type:
Permanent
What the hiring manager says
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 beta-product phase. You will have the opportunity to learn new techniques and algorithms at the cutting edge of Natural Language Processing (NLP), specifically in compensating for Large Language Model limitations. You will also have the opportunity to innovate and contribute to algorithm development.
Dr G.A.McHale, Technical Director, AI & Data Science
About the Team
The team is led by someone with significant 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, responsible for distributed systems and GPU optimisation of AI algorithms. The team is expected to grow significantly over the next few years, and we are currently looking for someone with complementary expertise as a senior member.
About the Role
The key responsibilities include GPU optimisation of existing algorithms, hardware-specific optimisation related to memory and CPU utilisation, hybrid-LLM system optimisation, and possible pre-filtering algorithms to reduce computational loads. Success is measured by significant improvements in batch processing and inference costs.
About You
- This is a hands-on programming role.
- Expertise in LLMs (programming or hybrid systems) is essential.
- You have a background in Telecommunications, either through education or work experience.
- You are highly proficient in Python and familiar with object-oriented programming, demonstrated by competence in other languages (e.g., C++ or Java).
- Experience in electronics or communications hardware is a plus.
- Experience in writing and filing patents is appreciated.
- Experience in NLP outside of LLMs is desirable but not mandatory.
- You should be highly motivated and willing to learn new skills as needed.
Contract type
Regular
Worker type
Employee
What We Offer
Working at GSMA offers unparalleled access to the mobile industry, with opportunities to shape mobile's future. You will work in a fast-paced, evolving environment on global solutions and industry-changing projects. Benefits include state-of-the-art offices, competitive pay, excellent learning opportunities, generous holidays, and professional development days.
We value diversity, equity, and inclusion, offering flexible working arrangements to support work/life balance. We encourage applications from all backgrounds to contribute to our collective success.
GSMA Values
Passionately drivenWe approach our work with capability, tenacity, and commitment, aiming for impactful results.
Insightful leadersWe develop our expertise and insights to respond effectively to changes.
Stronger togetherWe embrace diversity, collaborate, and support each other's success, fostering a respectful and safe environment.