Senior AI Engineer

Who we are

Hi, I’m Aleksandra, the Head of Data Science at Mention Me and I’m hiring! Before I tell you more about the role, here's a little bit about Mention Me and what we do:

At Mention Me, we pride ourselves in providing end-end acquisition solutions to our customers through our leading AI-powered referral marketing solution and our AI-first micro influencer solution.

Backed by Octopus Ventures and Eight Roads, we’ve raised $32 million in funding since 2018.

Since 2013, our award-winning acquisition platform has driven over 9 million new customers, generating $3 billion in incremental revenue for our clients.

There’s a good chance you’ve already come across us while online shopping from ASOS, PUMA, Gymshark, Charlotte Tilbury, or any other of the 500+ global brands we work with.

Becoming a Mentioneer means you’ll be joining a driven team, with big plans, at a genuinely exciting time for our business.

The role

Are you an AI Engineer excited about shaping real-world applications of machine learning and generative AI?

Have you built and deployed intelligent systems that don’t just crunch data—but actively drive impactful product experiences?

Ready to join a fast-growing scale-up on a mission to change how consumers discover and engage with brands?

We are seeking an AI Engineer who is excited to make a difference by developing and deploying smart AI solutions that enhance our platform’s engagement and communication capabilities.

Key responsibilities:

• Develop AI Solutions: Lead the design and implementation of generative AI systems that integrate seamlessly into client teams, acting as additional collaborative members. These AI-driven tools will not only perform tasks but actively contribute to team projects, offering insights and innovations that amplify the human creativity and productivity of client’s teams.
• Enhance Language Model Features: Innovate and integrate sophisticated content generation and agent-based workflow technologies to expand client engagement capabilities. By treating AI as an active collaborator, these models provide dynamic inputs that help clients explore new, creative ways to interact with their audiences.
• Streamline Workflows: Design intelligent processes that boost client productivity by 10x, simplifying operations while ensuring that AI tools enhance strategic agility and foster a collaborative environment between AI systems and human decision-makers.
• Collaborate Across Functions: Engage with Product, Engineering, Data Science, and Data Engineering teams to deliver intelligent, comprehensive services. Treat AI models as integral team members that provide data-driven insights and support innovation within cross-functional teams.
• Balance Innovation and Scalability: Develop forward-thinking features while maintaining system consistency and scalability.

What we're looking for:

• Experience in AI/ML: Background in delivering impactful AI/ML projects, with a foundation in both theoretical knowledge and practical application.
• Skills in LLMs and Generative AI: Experience with models like GPT-4, Gemini or Claude, including effective techniques in prompt engineering and frameworks for building applications around large language models (LangChain, Dialogflow).
• Understanding of Conversational AI: Knowledge in developing chatbots and agent frameworks to enhance user engagement.
• Proficiency in Programming and MLOps: Skills in Python and essential ML libraries (TensorFlow, Keras, PyTorch) plus familiarity with deployment best practices in cloud environment (preferably AWS).
• Analytical and Collaborative: Strengths in problem-solving and teamwork, with a focus on shared success.

Ideal candidate profile:

• Relevant Experience: At least 3 years of commercial experience in a data-related role, or equivalent practical experience gained through academic research in AI or Data Science fields.
• Inclusive Mindset: Open to innovation and different perspectives, with a drive to explore and implement new AI ideas.
• Comprehensive Pipeline Skills: Experience managing ML workflows from data to deployment efficiently.
• Clear Communicator: Ability to express technical concepts effectively to technical and non-technical audiences, ensuring clarity and inclusivity.
• Growth Focused: Eager to contribute to and grow in a nurturing and evolving work environment.

What you'll get:

Here are some of our favourite perks and benefits, but we have so many more!

🏡 Hybrid working

​​🏥 Private medical insurance with Vitality, including enhanced mental wellbeing support, dental, vision policies and a range of lifestyle benefits and great incentives

👩🏾‍⚕️ Life insurance via YuLife with lots of extra perks

📚 Learning and development budget

🤲🏾 Two celebration days; additional time off for you to celebrate religious days, cultural events, birthdays, anniversaries, or any other significant day that’s important to you

👨‍👩‍👧 Enhanced parental leave

🌴 25 days annual leave (plus bank holidays) increasing over your time as a Mentioneer

🏆 Monthly prizes for being amazing! Values Award and Wheel of Wow Awards. Win up to £500, vouchers, meals out

🤩 Regular social events, from pottery making to picnics, poker nights to sports days

Diversity, Equality and Inclusion

We celebrate every Mentioneer, exactly as they are. We don’t shy away from breaking down systemic discrimination in society, or from difficult conversations and decisions. We’re committed to being a force for change. You can read more about how we’re doing this and always learning, by looking at our blogs here.

The same goes for our recruitment. We welcome every application, regardless of race, religion or belief, ethnic origin, physical ability, family structure, socioeconomic status, age, nationality or citizenship, marital, domestic or civil partnership status, sexual orientation or gender identity. If you’d like to find out more about diversity and inclusion at Mention Me, get in touch.

Mention Me are however currently unable to offer visa sponsorship.