Senior AI Engineer

GSMA LLC; London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading company in London is seeking a Senior AI Developer to join their new AI applications team. This role focuses on optimising algorithms and systems, particularly in Natural Language Processing. The ideal candidate will have a strong background in Telecommunications, be proficient in Python, and have experience with LLMs. Join a dynamic team and contribute to innovative projects that shape the future of AI technology.

Benefits

Learning & Development Opportunities

Generous Holiday Allowances

Professional Development Days

Qualifications

• Hands-on programming role with expertise in LLMs.
• Background in Telecommunications required.
• Experience in NLP outside of LLMs is a plus.

Responsibilities

• GPU optimisation of existing algorithms.
• Hybrid-LLM system optimisation.
• Improve costs of batch processing and inference.

Skills

Python

Natural Language Processing

Object Oriented Programming

Education

Graduate/Postgraduate in Telecommunications

Tools

C++

Java

Job description

Location: London, Hybrid (2 days a week in the office)

Position type: Permanent

What the hiring manager says

You will 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, whose responsibilities relate to distributed systems and the GPU optimisation of AI algorithm. We expect the team to grow in size considerably over the next few years, and are looking currently looking for someone with complementary expertise as a senior member of the team.

About the Role

The key accountabilities are quite broad based but include GPU optimisation of existing algorithms, hardware specific optimisation relating to memory and CPU utilisation. Other work includes hybrid-LLM system optimisation, and possible pre-filtering algorithms for reduced computational loads. Success amounts to significant improvements in the costs of batch processing and inference costs.

About You

This is a hands-on programming role.

It is essential that you have some expertise in LLMs (either programming or in hybrid systems).

You will have a background in Telecommunications either as a graduate/postgraduate or through work experience.

You will be highly proficient in Python and be familiar with object oriented programming as demonstrated by competence in other languages (e.g. C++ or Java).

A background in electronics or communications hardware would be of additional benefit.

Some exposure to writing and filing patents would also be greatly appreciated.

An ideal candidate would have experience in NLP outside of LLMs, but this is not a mandatory requirement.

You will be expected to be highly motivated and learn the appropriate skill-sets where you are lacking.

Contract type

Regular

Department: Technology

Team: Networks

Location: London, Hybrid (2 days a week in the office)

Position type: Permanent

What the hiring manager says

You will 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, whose responsibilities relate to distributed systems and the GPU optimisation of AI algorithm. We expect the team to grow in size considerably over the next few years, and are looking currently looking for someone with complementary expertise as a senior member of the team.

About the Role

The key accountabilities are quite broad based but include GPU optimisation of existing algorithms, hardware specific optimisation relating to memory and CPU utilisation. Other work includes hybrid-LLM system optimisation, and possible pre-filtering algorithms for reduced computational loads. Success amounts to significant improvements in the costs of batch processing and inference costs.

About You

• This is a hands-on programming role.

• It is essential that you have some expertise in LLMs (either programming or in hybrid systems).

• You will have a background in Telecommunications either as a graduate/postgraduate or through work experience.

• You will be highly proficient in Python and be familiar with object oriented programming as demonstrated by competence in other languages (e.g. C++ or Java).

• A background in electronics or communications hardware would be of additional benefit.

• Some exposure to writing and filing patents would also be greatly appreciated.

• An ideal candidate would have experience in NLP outside of LLMs, but this is not a mandatory requirement.

• You will be expected to be highly motivated and learn the appropriate skill-sets where you are lacking.

Contract type

Regular

Worker type

Employee

What 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.

About Us

If you're currently an employee at GSMA, please apply internally using the GSMAHub by clicking on ‘Jobs Hub’ in your main Dashboard.

About the GSMA

The GSMA is a global organisation unifying the mobile ecosystem to discover, develop and deliver innovation foundational to positive business environments and societal change. Our vision is to unlock the full power of connectivity so that people, industry, and society thrive. Representing mobile operators and organisations across the mobile ecosystem and adjacent industries, the GSMA delivers for its members across three broad pillars: Industry Services and Solutions, Connectivity for Good, and Outreach.

Connectivity for Good engages members, governments and civil society, to advance positive policy and spectrum outcomes, facilitate digital innovation to reduce inequalities in our world, and tackle todays’ biggest societal challenges such as digital inclusion, climate change and sustainability.

Industry Services and Solutions underpins the technology and interoperability that make mobile work. Via our projects, working groups and promotional activities we facilitate the industry’s focus on areas such as 5G, Mobile IoT, fraud and security. And our technical services offer tools, data and resources to enable even more efficient and robust mobile experiences for users.

Outreach provides the world’s largest platform, convening and informing the mobile ecosystem, at MWC Barcelona, Shanghai, Los Angeles and the M360 series, and through Mobile World Live and GSMA Intelligence with breaking news, insights and expert analysis.

We invite you to find out more at gsma.com .