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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 70000 - 90000 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 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 London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI/ML space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those that align with what Hive Science is doing. Whether it's prototypes, models, or any cool AI/ML work, having tangible examples can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by diving deep into Hive Science's mission and technologies. Understand their platform and think about how your experience can contribute to their goals. Tailor your responses to show you're not just a fit for the role, but also passionate about what they do.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Hive Science team. Let’s get you on board this rocket ship!
We think you need these skills to ace Senior AI/ML Specialist in London
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for AI and ML shine through! We want to see that you’re genuinely excited about the Hive Science mission and how your skills can contribute to our innovative platform.
Tailor Your CV: Make sure your CV is tailored to highlight your experience with the specific technologies and methodologies mentioned in the job description. We love seeing how your background aligns with what we’re looking for, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of your past work, especially those that demonstrate your hands-on experience with AI/ML and product development.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands, and we can’t wait to see what you bring to the table!
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, come prepared with examples of your past work. Bring along any relevant projects or demos that showcase your ability to quickly develop and scale solutions. This will demonstrate your engineering instincts and creativity.
✨Familiarise Yourself with Their Tech Stack
Hive Science uses a specific tech stack including Python, SQL, and cloud platforms like AWS. Make sure you’re comfortable discussing your experience with these tools and how you’ve used them in previous roles. This will help you connect your skills directly to their needs.
✨Emphasise Your Collaborative Spirit
The job requires working closely with social science data and other team members. Highlight your teamwork experiences and how you’ve collaborated on projects in the past. Showing that you can thrive in a nimble and creative environment will resonate well with their company culture.