At a Glance
- Tasks: Join a pioneering AI team and optimise algorithms while learning cutting-edge techniques.
- Company: Be part of a world-class AI applications team at GSMA in London.
- Benefits: Enjoy competitive pay, generous holidays, and fantastic learning opportunities.
- Other info: Flexible hybrid work options and a chance to shape the future of AI.
- Why this job: Make a real impact in AI and grow your skills in a dynamic environment.
- Qualifications: Strong interest in AI, programming experience, and a background in maths or engineering.
The predicted salary is between 60000 - 80000 £ per year.
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).
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 optimisation 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
- Optimisation of existing algorithms and third‑party technology evaluation integration, together with general programming roles.
- Ownership and responsibility for existing code, with a view to maintenance and enhancement.
- Over time, assume a more research‑oriented role with the ability to devise novel solutions to challenging problems.
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 user development of LLMs; 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 are 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 with your request.
What We Offer
Working at the GSMA offers you unparalleled access to the mobile industry. 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.
Senior AI Engineer in London employer: Flourish Ventures
At GSMA, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. As a Senior AI Engineer in our London office, you'll have the unique opportunity to contribute to groundbreaking projects in AI while benefiting from extensive learning and development resources, generous holiday allowances, and a supportive environment that encourages professional growth. Join us to be part of a world-class team where your contributions will shape the future of mobile technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who work at the company you're eyeing. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your programming prowess and understanding of algorithms. This is your chance to demonstrate your passion for AI and how you can contribute to the team.
✨Tip Number 3
Ace the interview by being curious! Ask insightful questions about the team's projects and challenges. This shows your genuine interest in the role and helps you stand out as a candidate who's ready to dive into the work.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it gives us a chance to see your enthusiasm for joining our innovative team.
We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Show Your Passion for AI:We want to see your enthusiasm for AI and how it drives you. In your application, share any projects or experiences that highlight your interest in transitioning to a senior role in AI, especially if they relate to NLP or LLMs.
Highlight Your Technical Skills:Make sure to showcase your programming skills and any experience with algorithms. We’re looking for candidates who can demonstrate their mathematical fluency and critical thinking, so don’t hold back on sharing relevant examples!
Tailor Your Application:Take the time to customise your application to fit the role. Mention specific aspects of the job description that resonate with you and explain how your background aligns with our needs. This shows us you’ve done your homework!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Flourish Ventures
✨Know Your Algorithms
Brush up on your understanding of algorithms, especially those related to Natural Language Processing and Large Language Models. Be ready to discuss how you’ve implemented complex algorithms in the past and any challenges you faced.
✨Show Your Passion for AI
Even if you're not an AI expert yet, demonstrate your enthusiasm for the field. Share any personal projects or research you've done related to AI, programming, or mathematics that showcase your commitment to transitioning into this role.
✨Prepare for Team Dynamics
Since teamwork is crucial, think of examples where you've successfully collaborated with others. Be prepared to discuss how you adapt to different team environments and contribute to a positive team culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects and future goals. This shows your interest in the role and helps you understand how you can contribute to the team’s success as it grows.
