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- Tasks: Join us to innovate AI/ML solutions and transform how work is done.
- Company: Exciting tech start-up working with top global brands.
- Benefits: Competitive salary, hybrid work model, and a chance to shape the future.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Strong AI expertise and hands-on experience in data science.
- Other info: Collaborate with passionate, smart individuals in a dynamic environment.
The predicted salary is between 60000 - 80000 ÂŁ per year.
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 & 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. We’re looking for someone to join our team and get on board this rocket ship with us.
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.
Location: This is a hybrid role requiring 3 days/week in London.
Employment Type: Full-time
- 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 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.
- 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.
- 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.
- 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.
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.
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. 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. Scrappy and creative.
Strong passion for the Hive Science mission and a love of the scientific method.
Senior AI/ML Specialist in City of London employer: Hive Science
Contact Detail:
Hive Science Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI/ML Specialist in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with Hive Science folks on LinkedIn. You never know who might give you a heads-up about an opportunity or refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those that align with Hive's mission. Share it during interviews or even on social media to grab attention.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python, SQL, and ML techniques. Practice coding challenges and be ready to discuss your past projects in detail—Hive wants to see your hands-on experience!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Hive team and being part of our exciting journey.
We think you need these skills to ace Senior AI/ML Specialist in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI/ML Specialist role. Highlight your experience with Python, SQL, and any relevant AI/ML projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how it connects to our mission at Hive Science. Let us know why you're excited about this opportunity and how you can contribute to our team.
Showcase Your Projects: If you've got any cool projects or prototypes you've built, don't hesitate to share them! Whether it's a GitHub repo or a portfolio, we love seeing practical applications of your skills in action.
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 the role. Plus, it shows us you're keen to join our team!
How to prepare for a job interview at Hive Science
✨Know Your AI/ML Stuff
Make sure you brush up on the latest AI and ML techniques, especially those mentioned in the job description like transformers, GANs, and causal inference. Be ready to discuss how you've applied these in real-world scenarios, as this will show your hands-on experience and understanding of the field.
✨Show Off Your Prototyping Skills
Since the role involves building prototypes and scaling them, prepare to talk about specific projects where you've done just that. Bring examples of your work with tools like Jupyter notebooks or PyTorch, and be ready to explain your thought process behind developing and productionising models.
✨Get Familiar with Their Tech Stack
Hive Science uses a range of technologies including AWS, Docker, and CI/CD pipelines. If you have experience with these, highlight it! If not, do a bit of research to understand how they work and be prepared to discuss how you could leverage them in your role.
✨Emphasise Your Collaborative Spirit
This position requires working closely with social science data and potentially frontend teams. Be ready to share examples of how you've collaborated with others in past roles, especially in a fast-paced environment. Show that you're not just a tech whiz but also a team player who values input from different perspectives.