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Staff MLOps Engineer
Remote

My client is a HealthTech startup helping individuals get healthier!
Sitting at the intersection of machine learning, infrastructure, and production systems. You'll get to build solutions across ML infra and MLOps that help drive velocity in Machine Learning to ship ML products quickly and safely.

You'll have autonomy and ownership to create, innovate and build solutions for the future of ML at the company creating huge impact.

You'll also get to build feature stores, test new MLOps tools, Optimize GPUs, inference and more. 


What else do you get? 

• Base Salary: 220-270k 

• Equity

• Fully Remote

What do you need to be successful? 

• Experience building solutions that drive ML product build velocity for the last 5+ years like ML Platform, ML Infra and MLOps. 

• Experienced with areas like real-time inferencing, GPU optimization, Feature store builds and over all ML lifecycle. 
• Worked with Cloud tools (GCP preferred or open to learning)

Interested in learning more? Apply or reach out to me at anthonyh@alldus.com

*Please note due to limited resources we are currently only shorlisting those who can work without visa support like Green Crad or Citizenship. 

Our client, a growing Financial Services company, are hiring a hands-on Full-Stack Engineer to join their team remotely. The successful candidate will play a pivotal role in shaping the engineering culture while tackling real-world financial challenges, with the opportunity to take ownership of projects from concept through to production.


Responsibilities

• Collaborate with customers and internal stakeholders to identify SMB financial challenges, translate them into technical requirements and drive successful delivery.

• Take ownership of the entire software development lifecycle, including design, development, testing and production deployment, in alignment with the product roadmap.

• Continuously refine engineering processes, tools and systems to scale the codebase, increase efficiency and support team growth.

• Play an active role in shaping and strengthening the engineering culture, encouraging collaboration and high performance.

• Proactively identify opportunities to enhance products and business outcomes, contributing beyond your core responsibilities.

Skillset

• Proficient in TypeScript and React, with experience in Node.js / Express.

• Previous experience working at an early-stage, high-growth startup.

• Hands-on engineer who transforms ideas into practical, impactful solutions.

• Proven experience designing and building complex, user-friendly products.

• Skilled in architecting end-to-end solutions for complete products.

Our client, a fast-growing AI startup, is hiring an AI/ML Engineer to join their team in New York. The successful candidate will focus on building the core Copilot product, with ownership across the full ML lifecycle - from data pipelines and model training to embeddings, retrieval, serving and continuous iteration in production.


Responsibilities

• Design, develop and deploy production-grade Machine Learning systems in Python, moving well beyond experimentation and notebooks.

• Take ownership of key components of the NLP and LLM stack, including embeddings, retrieval pipelines, RAG architectures and targeted fine-tuning.

• Build and iterate on recommendation and ranking models that surface who users should engage with and when.

• Work hands-on with vector databases and similarity search to drive relationship intelligence.

• Implement and maintain ML tooling for training, versioning, monitoring and evaluation.

• Collaborate closely with founders, product and engineering to translate ideas into shipped, measurable product capabilities.

• Integrate ML models into production APIs within a TypeScript / Nest.js–heavy environment.

• Continuously optimise latency, cost and performance, including model routing, caching, distillation and quantisation.

Skillset

• Minimum of 3 years of experience building and deploying production ML systems using Python, PyTorch or TensorFlow and scikit-learn.

• Hands-on NLP and LLM experience, including HuggingFace Transformers, embeddings, sentence-transformers and RAG architectures.

• Experience working with both proprietary models (e.g. OpenAI) and open-source LLMs (e.g. Llama, Mistral).

• Strong foundation in classical machine learning, including classification, ranking, supervised and unsupervised learning, and XGBoost or LightGBM.

• Experience with MLOps and infrastructure, such as experiment tracking, model versioning, Docker/Kubernetes, SageMaker or similar systems.

• Practical experience with vector databases, including Pinecone, Qdrant, Weaviate or comparable platforms.

• Strong software engineering fundamentals, with experience integrating ML models into reliable, production-grade systems.

Benefits

• Salary: Circa $250k.

• Equity.

• Health, dental and vision insurance.

Our client, an AI-driven organization within the Healthcare industry, is hiring a  Staff Full-Stack Engineer to join their team in New York. The successful candidate will own the technical direction of core applications, including leading architectural decisions, setting engineering standards and building highly reliable, scalable systems for high-stakes clinical environments.


Responsibilities

• Lead the technical architecture across all core platforms.
• Set and uphold engineering standards for code quality, testing, observability and incident response.
• Design and scale real-time clinical oversight systems, including live conversations, escalations and audit trails.
• Build natural language query capabilities over complex healthcare data.
• Develop safe, intuitive no-code tools for configuring agent behavior.
• Architect APIs, data models, and caching for real-time, voice and multi-channel systems at scale.
• Own authentication, authorization and audit logging for healthcare-grade security and compliance.
• Drive build-vs-buy decisions and evaluate platform-wide technical trade-offs.
• Mentor engineers and raise the technical bar across the team.
• Collaborate with clinicians, engineers and customers to turn complex workflows into robust systems.

Skillset

• At least 7 years of hands-on full-stack engineering experience, including work in high-performing or top-tier engineering environments.
• Deep expertise in React and TypeScript, with a strong grasp of performance, rendering and state management.
• Proven experience building Python backend services, RESTful APIs and distributed systems.
• A strong track record of designing, scaling and operating high-traffic production systems.
• Solid understanding of real-time architectures, including WebSockets, streaming and event-driven systems.
• Experience with relational databases, data modeling, query optimisation and caching strategies.
• Demonstrated ability to set engineering standards and mentor engineers across a team.
• Extremely high bar for code quality, reliability, and operational excellence.
• Strong product intuition, with the ability to turn ambiguous requirements into robust technical solutions.
• Clear, confident communicator across engineering, product and executive stakeholders.

Benefits

• Salary: $220k - $260k
• Health, dental and vision insurance.
• Mental Health and Wellness support.