1. Role Title: Full Stack Developer
2. Contract: 12 months
3. Location: Marlow (hybrid)
SRG are working with a leading pharmaceutical company based in Marlow. Our client develops and manufacture an impressive portfolio of aesthetics brands and products. Our client is committed to driving innovation and providing high-quality products and services.
About the role:
As a Full Stack Developer in our Data & AI team, you will build and maintain scalable data pipelines in Palantir Foundry for advanced reporting and analytics while collaborating with cross-functional teams .You will work closely with key stakeholders in Engineering, Product, GTM, and other groups to help build scalable data solutions that support key metrics, reporting, and insights.
You will spend approximately 70% of your time designing, building, and optimizing backend data pipelines and AI/ML solutions on Palantir foundry. The remaining 30% will focus on developing frontend features and dashboards using TypeScript, ensuring an integrated experience for analytics, reporting, and end users. Your work will support enterprise-scale data engineering, analytics, and AI-driven initiatives.
About you:
4. 2+ years of writing clear and reliable PySpark code. Proficiency with React, JavaScript, TypeScript, or comparable frontend technologies, plus backend expertise in distributed computing frameworks.
5. 2+ years of experience in product design, UI/UX optimization, feature scoping end-to-end product, and system architecture such as design patterns, reusability, reliability and scaling of existing applications/systems.
6. You are adept at implementing solutions using popular analytics tools (like pandas, numpy, matplotlib, MLFlow) and agent orchestration frameworks like Langchain, Langsmith, LlamaIndex, etc.
7. You have a deep understanding of operationalizing GenAI and agentic frameworks across backend and frontend. MLOps and LLMOps experience is a plus.
Responsibilities:
8. Develop, and maintain scalable backend data pipelines and transformation workflows using PySpark in Palantir Foundry.
9. Design and implement robust feature engineering processes, and ML model integration, enabling clean, reliable, and auditable datasets for data science and AI applications.
10. Implement MLOps and DataOps best practices for model lifecycle management, monitoring, deployment, and governance.
11. Collaborate closely with engineering, product, and business teams to translate complex analytics and AI requirements into backend processes and data products.
12. Develop self-serve analytics solutions and interactive dashboards using TypeScript (and frameworks such as React), translating backend data architecture into accessible insights for business and data users.
13. Contribute to prompt engineering and operationalizing generative AI/LLM-driven features within backend and frontend workflows.
14. Continuously expand your expertise in cloud data infrastructure, Foundry's ontology-driven approach, and best-practice enterprise data management.
What we are looking for:
15. At least 2+ years building and deploying full-stack, data-centric apps (preferably in Palantir Foundry)
16. Experience in Python/PySpark for backend (70%) and frontend like TypeScript, React etc (30%)
17. Experience translating backend outputs into usable interfaces
18. Experience in LLM orchestration/agentic frameworks
19. Adaptable, fast learner, active team collaborator
Essential toolkit experience:
20. Backend: Python, PySpark, Palantir Foundry, REST, GraphQL, PostgreSQL
21. Frontend: TypeScript/JavaScript/React
22. AI/ML: pandas, numpy, scikit-learn, matplotlib, MLOps (mlflow, SageMaker, or similar)
23. Agentic frameworks: LangChain, LangSmith, LlamaIndex
24. DevOps/DataOps: CI/CD (GitHub Actions, GitLab CI, or similar), version control (Git)
25. Cloud: Palantir Foundry, Azure / AWS
26. Product: UI/UX optimization, feature scoping, CI/CD, business alignment
You will be considered a strong fit if you have:
27. Minimum 2+ years of work experience in commercial analytics.
28. Experience working on Palantir Foundry.
29. Experience with Generative AI (GenAI) and agentic systems will be considered a strong plus.
30. Have a proactive and adaptable mindset: willing to take initiative, self-starter, learn new skills, and contribute to different aspects of a project as needed to drive solutions from start to finish, even beyond the formal job description.
Other details:
31. Hybrid working policy: Currently, we expect all staff to be in our Marlow-based office at least 3 days a week.
32. No visa sponsorship. ILR/Citizenship required.
Guidant,