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- Tasks: Build AI systems that make autonomous decisions and solve complex data challenges.
- Company: Join a forward-thinking tech company revolutionising advertising on a global scale.
- Benefits: Enjoy flexible remote work, continuous learning, and a supportive culture.
- Why this job: Make a real impact with cutting-edge AI technology in a fast-paced environment.
- Qualifications: 3-5 years in ML systems, strong Python skills, and a passion for problem-solving.
- Other info: Great career growth opportunities and team activities to connect beyond work.
The predicted salary is between 60000 - 80000 ÂŁ per year.
We’re looking for a Data Scientist to join our tech team and help build the future of neuro‑contextual advertising at global scale.
Responsibilities
- Build production‑grade AI agent systems that interact with data, execute multi‑step workflows, and make autonomous decisions impacting business outcomes.
- Design and implement agent architectures using modern frameworks, working on multi‑agent orchestration patterns, agent delegation, and ensuring reliable execution under production constraints.
- Solve context management challenges across conversation history, tool outputs, and file attachments, implementing semantic search and retrieval systems to ensure agents have the right information to answer questions accurately.
- Integrate agents with data infrastructure, connecting them to databases and APIs in real‑time, and implement tool integration systems that enable scalable development across teams using protocols like MCP.
- Build evaluation frameworks to measure agent performance in production, taking solutions from concept to deployment, and collaborating closely with cross‑functional teams to align your work with business goals.
Qualifications
- 3‑5 years of experience building and deploying production ML systems, with hands‑on experience developing LLM‑based applications or autonomous agents using frameworks such as Pydantic AI, OpenAI Agents SDK, LangGraph, or similar.
- Strong software engineering skills with proficiency in Python and a track record of deploying services to production, including experience with async programming, API design, and production infrastructure such as Docker and Kubernetes.
- Strong academic background in fields such as Computer Science, Engineering, Statistics, Mathematics, or similar, with a focus on quantitative analysis and problem‑solving, plus understanding of retrieval systems, embeddings, or context‑management patterns.
- Hands‑on experience with end‑to‑end project workflows from design to deployment, understanding multi‑step agent workflows and tool‑calling patterns, and the ability to handle the non‑deterministic nature of LLM‑based systems.
- Proactive, entrepreneurial, and adaptable, comfortable working in a fast‑moving environment where best practices are still emerging, and committed to building reliable AI agent systems that drive measurable business outcomes.
Benefits & Perks
Benefits
- A key moment of growth with real ownership and global impact.
- Flexible work model with 100% remote or hybrid options. (Remote contracts available in Spain, Italy, UK, Belgium, Netherlands, France, and Germany.)
- Continuous learning through a learning platform and optional language classes.
- A supportive, trust‑based culture that values well‑being.
- Team activities, offsites, and opportunities to connect beyond work.
Perks
- Home office setup budget up to €1,000
- Paid trips to our HQ in Madrid
- MacBook Pro M3
Data Scientist in London employer: Seedtag
Contact Detail:
Seedtag Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at companies you're eyeing. A friendly chat can sometimes lead to opportunities that aren't even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI systems or data management. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data science questions and scenarios. Think about how you'd tackle real-world problems using the skills listed in the job description. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with ML systems and any relevant frameworks like Pydantic AI or OpenAI Agents SDK. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for neuro-contextual advertising and how you can contribute to our tech team. Be sure to mention specific projects that showcase your problem-solving skills.
Showcase Your Projects: Include links to your GitHub or portfolio where we can see your work in action. Demonstrating your hands-on experience with end-to-end project workflows will really set you apart from the crowd!
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 you’re keen on joining our team!
How to prepare for a job interview at Seedtag
✨Know Your Tech Inside Out
Make sure you’re well-versed in the frameworks mentioned in the job description, like Pydantic AI and OpenAI Agents SDK. Brush up on your Python skills and be ready to discuss your experience with deploying ML systems, as this will show you’re the right fit for their tech team.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects, especially those related to context management and multi-step workflows. Use examples that highlight your ability to think critically and adapt in fast-paced environments, as this is key for a Data Scientist role.
✨Understand Their Business Goals
Research the company’s approach to neuro-contextual advertising and how data science plays a role in it. Being able to align your technical skills with their business objectives will demonstrate your commitment and understanding of their mission.
✨Ask Insightful Questions
Prepare thoughtful questions about their current projects, team dynamics, and future goals. This not only shows your interest but also gives you a chance to assess if the company culture and work environment are a good fit for you.