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- Tasks: Join us to evolve AI technologies and build innovative prototypes for our platform.
- Company: Exciting tech start-up working with major global brands.
- Benefits: Full-time hybrid role with competitive salary and a dynamic work environment.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Strong AI expertise, experience in ML/DL, and proficiency in Python and SQL.
- Other info: Collaborate with passionate experts in a creative and nimble team.
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 Programmer (Hybrid) 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 Programmer (Hybrid) 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 projects, prototypes, or any cool stuff you've built. This is your chance to demonstrate your hands-on experience and creativity, which is exactly what Hive Science is looking for.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and being ready to discuss how your experience aligns with Hive's mission. They want someone who can connect ML research to real-world applications, so be ready to share examples!
✨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 Science team and being part of this exciting journey.
We think you need these skills to ace Senior AI Programmer (Hybrid) in City of London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for AI and the Hive Science mission shine through. We want to see that you’re not just looking for a job, but that you genuinely care about what we’re building together.
Tailor Your CV: Make sure your CV highlights relevant experience in AI, ML, and product development. Use keywords from the job description to show us you’ve got the skills we’re after. It’s all about making it easy for us to see why you’re a great fit!
Be Specific About Your Experience: In your application, don’t just list your skills—give us examples of how you’ve used them in real projects. Whether it’s deploying models or working with generative AI, we want to hear the details that make your experience stand out.
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 this exciting opportunity. Plus, it shows you’re proactive and ready to jump on board with us!
How to prepare for a job interview at Hive Science
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and ML techniques, especially the ones 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.
✨Show Off Your Prototyping Skills
Since the role involves building prototypes, come prepared with examples of your past work. Bring along any projects or demos that highlight your ability to quickly develop and scale AI solutions. This will demonstrate your capability to move from concept to production.
✨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 these tools and how you’ve used them in your previous roles. This will help you connect your experience directly to their needs.
✨Emphasise Your Collaborative Spirit
The job requires working closely with social science data and other team members. Be ready to talk about how you’ve collaborated in the past, especially in cross-functional teams. Highlight your ability to communicate complex ideas clearly, as this is key in a hybrid environment.