At a Glance
- Tasks: Join our team to evolve cutting-edge AI products and drive innovation.
- Company: Exciting tech start-up transforming work with AI and behavioural science.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Strong AI expertise and experience in product development required.
- Other info: Fast-paced, creative culture with passionate team members.
The predicted salary is between 70000 - 90000 ÂŁ per year.
Hive Science is a tech start-up whose technologies are in use by many of the worldâs largest brands including Land Rover, Edward Jones & Kroger. 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. Weâre looking for someone to join our team and get on board this rocket ship with us.
About the role: 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 Hiveâs 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. Weâre 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.
Important Details:
- 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.
What Youâll Be Doing: As a Senior AI Scientist, you will be a core architect in building out new ways to develop and scale our unique platform intelligence. Youâll 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 canât 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.
Required Skills:
- 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.
- 3â5+ 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 environmentsâyouâre 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 collaborationâhow your model outputs can drive dynamic UIs, content personalization, or editor tools.
- Comfort in âhackingâ prototypes while planning toward scalable solutions.
- Passion for elegant code and reproducible research.
Overall Work Experience & Additional Details: 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. Weâre nimble and creative, and value intellectual humility. We work really hard because weâre all 100% dedicated to the future weâre building. Our work is stimulating, challenging, and exciting. And our team is awesome. At Hive we only hire exceptional people, so youâll be in good company -- surrounded by passionate, insanely smart people who want to build the future of customer & marketing intelligence.
Specifically weâre looking for someone who will thrive in this type of environment:
- Fast-paced startup with competing demands and multiple priorities ongoing.
- A âsolve the problemâ mentality.
- Scrappy and creative.
- Strong passion for the Hive Science mission and a love of the scientific method.
Senior AI Scientist R&D (Product) in London employer: Hive Science
Contact Detail:
Hive Science Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior AI Scientist R&D (Product) in London
â¨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that arenât even advertised yet.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
â¨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI and product development. We recommend doing mock interviews with friends or using online platforms to get comfortable.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen. Plus, it shows youâre genuinely interested in joining our awesome team at Hive Science.
We think you need these skills to ace Senior AI Scientist R&D (Product) in London
Some tips for your application đŤĄ
Show Your Passion: When writing your application, let your enthusiasm for AI and the Hive Science mission shine through. We want to see that youâre not just qualified, but genuinely excited about the work we do and how you can contribute to our innovative team.
Tailor Your CV: Make sure your CV is tailored to highlight your relevant experience in AI, ML, and product development. Use keywords from the job description to show us you understand what we're looking for and how your skills align with our needs.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences. Avoid fluff and focus on what makes you a great fit for the role.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures it gets into the right hands. Plus, it shows us youâre serious about joining our team!
How to prepare for a job interview at Hive Science
â¨Know Your AI Stuff
Make sure you brush up on your knowledge of machine learning and deep learning techniques. Be ready to discuss specific models like transformers, GANs, and BERT/GPT, as well as how you've applied them in real-world scenarios. This role is all about evolving products, so showing your expertise will definitely impress.
â¨Showcase Your Prototyping Skills
Since the job involves building prototypes and scaling them, come prepared with examples of past projects where youâve done just that. Talk about the tools you used, like Jupyter notebooks or PyTorch, and how you transitioned from prototype to production. This will demonstrate your hands-on experience and problem-solving mentality.
â¨Be Ready to Pivot
Hive Science thrives in a fast-paced environment, so be prepared to discuss how you've adapted to changing priorities in previous roles. Share specific examples of when you had to pivot quickly and how you managed competing demands. This will show that you can thrive in their dynamic setting.
â¨Connect the Dots Between Theory and Practice
This role requires a strong connection between ML research and product needs. Be ready to explain how your theoretical knowledge has translated into practical applications. Discuss any experiences where youâve taken complex concepts and made them accessible for product development, showcasing your passion for the scientific method.