Senior AI Scientist, R&D (London, UK)

Hive Science is a tech start-up whose technologies are in use by many of the world's largest brands including Land Rover, Edward Jones & numerous other fortune 500 brands. The Hive platform is delivering novel intelligence at the intersection of quantitative social psychology, behavioral science & AI/ML to accelerate & transform how work is done. We're looking for someone to join our team and get on board this rocket ship with us.

This is an exciting opportunity to be part of a psychological science-based tech startup. This role will join our product team and will be responsible for evolving Hive's next generations of products. This Senior AI Scientist will roll up their sleeves and help us continually evolve the core foundation of our platform, enabling exponential delivery speed and scale, as well as new generative and other AI technologies.

We're looking for someone who can bring a strong AI know-how, and who can work closely with social science data to support product development & launch. As a Senior AI Scientist, you will be a core architect in building out new ways to develop and scale our unique platform intelligence. You'll be part of a SWAT team located in London. You will build prototypes, move quickly, but be ready to scale and productionise once breakthroughs are made into our commercial product suite.

You will constantly need to be at the cutting edge as we plug and play the latest AI capabilities into our core platform. We can't define everything you will be doing because some of it is unknown based on the disruptive world we live in and you need to be the kind of person ready to pivot at speed and stay at the bleeding edge of this new world.

You may have come from a research lab or from a startup where you wore every hat. You are fluent in both theory and implementation, and you get a thrill out of connecting ML / DL research to real-world product needs. As a fast-paced startup, each day is different from the one before. We're nimble and creative, and value intellectual humility. We work really hard because we're all 100% dedicated to the future we're building. Our work is stimulating, challenging, and exciting. And our team is awesome. At Hive we only hire exceptional people, so you'll be in good company - surrounded by passionate, insanely smart people who want to build the future of customer & marketing intelligence.

Specifically we're looking for someone who will thrive in this type of environment:

• Fast-paced startup with competing demands and multiple priorities ongoing
• A 'solve the problem' mentality
• Scrappy and creative
• Strong passion for the Hive Science mission and a love of the scientific method

Requirements:

• A degree in Computer Science, Mathematics, Physics, or a related field.
• Proficiency in Python, SQL, Bash, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, PyTorch, and more.
• 3-5+ years of experience in data science or applied ML / DL, ideally within product development.
• Deep expertise in ML/DL techniques including transformers, embeddings, CNNs, RNNs, GANs, BERT/GPT, RL, GNNs, GraphAI and causal inference.
• Solid understanding of a range of predictive modeling approaches and outputs.
• Hands-on experience with generative AI, LLMs, simulation models, knowledge graphs, and multi-modal data fusion.
• Hands-on experience with building GPTs / Agents and agentic workflows.
• Strong engineering / ML engineering instincts / hands-on experience of deploying models to production environments - you're comfortable pushing to prod, not just notebooks.
• Experience with cloud platforms (AWS, Databricks, Snowflake), containerisation tools (Docker, Kubernetes), and CI/CD pipelines. You can set up APIs, write robust code, and debug pipelines.
• Experience with cloud-native ML workflows, including AWS Sagemaker, Lambda, ECS, and containerisation with Docker.
• Familiarity with frontend collaboration - how your model outputs can drive dynamic UIs, content personalization, or editor tools.
• Comfort in 'hacking' prototypes while planning toward scalable solutions.
• Passion for elegant code and reproducible research.

Additional Information:

• Location: This is a hybrid role requiring 3 days/week in London. Candidates must currently reside within commuting distance of London.
• Employment Type: Full-time
• Work Authorization: Candidates must have an existing right to work in the UK. Unfortunately, we're not able to offer visa sponsorship for this role.

Why do you have a passion for the work that you do? What excites you about combining your skills with quantitative social psychology & behavioral science? Tell us about a time when your work impacted customer success: