Machine Learning Engineer

Senior Software Engineer – Machine Learning (Hybrid / Remote)

Are you an exceptional technologist ready to take your AIML expertise to the next level? Join a growing agile technology team shaping innovative solutions for the life science regulatory affairs domain.

About the Role

This is a pivotal position for an experienced software engineer specialising in AI / ML development, offering technical autonomy, impactful responsibilities, and opportunities for growth. You’ll build scalable, secure, and robust systems that drive business value and contribute directly to our technology roadmap and engineering culture.

Key Responsibilities

• Develop and deploy scalable microservices, ensuring independent and reliable delivery.
• Collaborate closely with cross-functional teams including front-end, DevOps, and product to deliver high-quality software.
• Drive code excellence with rigorous unit / integration testing and code reviews.
• Monitor, debug, and optimize backend systems for enterprise-grade performance.
• Design high-performance, fault-tolerant systems capable of handling complex data workflows.
• Lead knowledge sharing, clear communication, and documentation for technical solutions.
• Coordinate effectively with remote global team members.
• Develop robust, scalable web applications tailored for B2B and enterprise client needs.
• Required Skills and Experience
• 7+ years building production-grade AIML systems (Python).
• Deep proficiency in LLM frameworks : LangChain, LlamaIndex, and custom RAG (Retrieval-Augmented Generation) pipelines.
• Strong background with vector databases and semantic search (Pinecone, Weaviate, FAISS, ChromaDB).
• Advanced prompt engineering and LLM fine-tuning for regulatory and compliance domains.
• NLP expertise : document processing, multi-format parsing (PDF, HTML, XML, Word), semantic embeddings.
• Hands-on work with Hugging Face Transformers (BERTRoBERTa, NER, text classification).
• Familiarity with LLM providers (OpenAI GPT-4, Anthropic Claude, Azure OpenAI, Llama, Mistral).
• Extensive cloud experience (AWS, Azure, Google Cloud Platform).
• Python async frameworks (FastAPI, asyncio, aiohttp); RESTful API design, JSON, OpenAPI / Swagger.
• Skilled with CI / CD tools (GitHub Actions, Jenkins, CodePipeline) and containerization (Docker, Kubernetes)[1].
• Advanced database skills : PostgreSQL, MySQL, query optimization, indexing, schema design; NoSQL experience (MongoDB, DynamoDB).
• Git version control mastery, including complex workflows and resolution strategies.
• Familiarity with IaC tools (CloudFormation, Terraform).

Qualifications

Soft Skills

What’s Offered

Competitive salary and benefits.

Flexible hours, remote work options, and a collaborative, people-centred team.

Opportunities to drive cutting-edge projects in the life science regulatory space.

Supportive environment for professional development and growth.