Machine Learning Engineer Jobs

Our client, a leading Health Insurance organization, is hiring a Software Engineer to join the team remotely. The successful candidate will work hand-in-hand with their product team to develop AI-driven features that transform how HR teams and employees engage with benefits and healthcare systems, while also equipping the company’s internal consulting teams with smarter, more efficient tools.


Responsibilities

• Partner with Product, Engineering and Design teams to uncover challenges and craft generative AI solutions using best-in-class software engineering practices.

• Integrate AI capabilities across the full stack (frontend, backend and infrastructure) seamlessly within their applications.

• Develop intelligent search and retrieval systems that help users find the information they need, faster.

• Design and optimise interactions with foundation models (GPT-4, Claude, Gemini) to deliver consistent and reliable results.

• Deliver AI-powered features with the same high standards of reliability, scalability and performance as all applications.

Skillset

• At least 5 years of experience building modern full-stack web applications using Python and JavaScript/TypeScript.

• Hands-on experience integrating foundation models directly via APIs to create intelligent applications.

• Proven ability to translate user needs into technical solutions while collaborating across cross-functional teams.

• Comfortable working across frontend, backend and infrastructure layers.

• Experience with advanced AI tools, including tool-calling, multi-agent systems and emerging AI capabilities.

• Machine Learning background, with experience in PyTorch, scikit-learn, and deploying proprietary or open-source models.

• Strong communicator capable of partnering effectively with non-technical stakeholders.

Benefits

• Salary: $150k - $200k DOE

• Stock options.

• Health, Dental and Vision insurance.

• Remote working.

Our client, an AI-driven organization in the Fintech industry, are hiring a Staff Machine Learning Engineer to join the team in Colorado. The successful candidate will will focus on building end-to-end generative AI products leveraging your deep expertise in large language models, fine-tuning techniques and reinforcement learning.


Responsibilities

• Design and build multi-agent systems that automate tasks and streamline workflows, delivering measurable operational impact.

• Develop AI co-pilots for advisors and other user personas, supporting workflows across prospecting, conversion, onboarding and client servicing.

• Create purpose-built, low-latency models for complex, multi-turn financial services interactions.

• Enable AI-driven optimisation and navigation of legacy platforms using computer-use and automation models.

• Design, fine-tune, and deploy open-source and proprietary LLMs for use cases including Q&A, summarisation, reasoning and planning.

• Build advanced Retrieval-Augmented Generation (RAG) pipelines, incorporating query rewriting, embedding fine-tuning, hybrid search, re-ranking and knowledge graphs.

• Apply reinforcement learning techniques, including RL fine-tuning methods such as PPO, DPO, and GRPO, to continuously improve model performance.

• Deploy models to production, ensuring high performance, reliability, scalability and low latency.

Skillset

• At least 5 years of experience in applied AI/ML engineering.

• Demonstrated success delivering production-grade generative AI products with large language models at their core.

• Hands-on experience with LLM fine-tuning techniques (e.g. LoRA), inference frameworks (e.g. vLLM) and advanced Retrieval-Augmented Generation (RAG) architectures.

• Strong practical expertise in reinforcement learning fine-tuning methods and supporting tooling.

• Previous experience working in an early-stage startup is a plus.

Benefits

• Salary: $170k - $220k DOE

Our client, an AI-driven healthcare organization, is hiring a Software Engineer with expertise in Backend Engineering and Machine Learning to join their team in New York. The successful candidate will design and build scalable backend systems and machine learning infrastructure, which will support real-time patient engagement, seamless integration of complex data sources and measurable improvements in healthcare outcomes.


Responsibilities

• Design, build and maintain scalable backend services and APIs that power an AI-driven patient engagement platform.

• Develop and operate production-grade infrastructure for deploying, monitoring and scaling LLM-based applications.

• Collaborate with AI/ML engineers to embed conversational AI and predictive models into core platform workflows.

• Architect flexible, extensible backend systems that scale with expanding product capabilities and data demands.

• Implement and maintain CI/CD pipelines, including automated testing, versioning and deployment processes.

• Develop reusable libraries, frameworks, and components to accelerate development and enhance code quality.

• Promote engineering best practices to ensure systems are secure, scalable, and maintainable.

• Utilize cloud platforms (GCP, Azure, AWS) to deliver reliable and cost-efficient infrastructure for web services and ML workloads.

Skillset

• Minimum 5  years of full-stack development experience, including at least 2 years in a senior-level role.

• Proven track record of taking products from 0 ? 1 and scaling from 1 ? N in early-stage environments.

• Strong proficiency in Node.js and/or Python, relational databases, ReactJS and Express.

• Demonstrated interest in AI, with hands-on experience integrating LLMs into production systems.

• Excellent system design and architecture skills, with a focus on scalability and extensibility.

• Disciplined engineering approach, adhering to Clean Code principles, TDD, and CI/CD practices.

• Experience collaborating with cross-functional and non-technical stakeholders.

• Portfolio of projects showcasing leadership or ownership of significant engineering initiatives.

Benefits

• Salary: $150k - $180k DOE.

Our client, an AI-driven organization within the Healthcare industry, is hiring a Staff Data Software Engineer to join their team in New York. The successful candidate will design, build and scale the data infrastructure that underpins agent improvement, clinical analytics and research collaboration. You will own streaming and batch pipelines to process agent conversations, clinical events and patient outcomes at scale.


Responsibilities

• Build and operate streaming and batch data pipelines on Databricks using Spark and Delta Lake.

• Design, implement and maintain CDC (Change Data Capture) pipelines that sync operational databases into Delta Lake.

• Develop data mining pipelines for persona discovery, scenario extraction and edge-case detection.

• Build and own the data backend for the Research Platform, including natural-language-to-SQL capabilities.

• Implement robust data quality checks, staleness detection and automated alerting.

• Develop pipelines for voice and SMS analytics, including call quality and engagement metrics.

• Support multi-region data deployments and compliance requirements.

• Collaborate closely with agent engineers and data scientists to surface insights that improve agent performance.

Skillset

• At least 4 years of experience in production data engineering roles.

• Deep, hands-on experience with Databricks, Spark and Delta Lake.

• Strong proficiency in Python and SQL for building and maintaining data pipelines.

• Experience designing and operating streaming pipelines and CDC (change data capture) systems.

• A solid understanding of data modelling, medallion architectures (bronze/silver/gold) and query optimisation.

• Experience implementing data quality frameworks, monitoring and alerting.

• A proven track record of delivering reliable, production-grade data infrastructure.

• Exposure to machine learning pipelines, including feature engineering and training infrastructure is desirable.

• Experience building natural-language query interfaces or LLM-powered data tools is a bonus.

• Experience working with healthcare data and familiarity with HIPAA compliance requirements is a plus.

Benefits

• Salary: $220k - $260k

• Health, dental and vision coverage.

• Mental Health and Wellness support.

Our client, an innovator in the eCommerce industry, is hiring a Lead Machine Learning Engineer to join their New York team remotely. The successful candidate will play a pivotal role in shaping the future of their marketplace by developing intelligent, data-driven products that enhance user experience and fuel business growth. This includes optimising search and ranking, building impactful recommendation models and developing scalable systems that serve millions of users.


Responsibilities

• Lead the design, development and deployment of scalable machine learning models across key domains such as search relevance, advertising, pricing and recommendations.

• Architect and implement robust, production-ready pipelines and REST APIs to deliver models at scale.

• Partner closely with product managers, engineers and cross-functional stakeholders to translate business requirements into effective technical solutions.

• Explore, prototype and assess new algorithms and emerging technologies to drive continuous innovation.

• Take full ownership of machine learning initiatives, from ideation and data analysis through to deployment, monitoring and ongoing optimization.

Skillset

• At least 5 years of hands-on experience developing and deploying machine learning models in production environments.

• Deep knowledge of core ML techniques, including classification, regression, ranking and recommendation systems.

• Proficiency in Python and modern ML frameworks such as Scikit-learn, TensorFlow or PyTorch.

• Strong software engineering fundamentals, with experience building production-grade services and REST APIs.

• Practical experience working with cloud platforms such as AWS, GCP or Azure.

• Exposure to Large Language Models (LLMs) and their use in search, recommendations, or related applications is a big plus.

• Familiarity with MLOps tools and practices, including platforms like MLflow or Kubeflow.

• Experience working within e-commerce or online marketplace environments is a bonus.

Benefits

• Salary:  $160,000–$200,000 DOE

• Equity.

• Comprehensive benefits package.

• Remote working options.

Our client, a FinTech innovator, are hiring a Staff Machine Learning Engineer with expertise in Large Language Models (LLMs) to join the team remotely. The successful candidate will be responsible for building Generative AI and LLMs solutions in a in a fast paced environment that will help transform financial advice delivery.


Responsibilities

• Lead the development and customization of large language models tailored for financial use cases.

• Apply cutting-edge tuning methodologies to enhance performance across conversational AI, content generation and strategic reasoning tasks.

• Create intelligent retrieval systems that combine multiple search approaches, semantic understanding and ranking mechanisms to deliver contextually relevant information at scale.

• Engineer autonomous AI systems capable of independent decision-making, integrating feedback loops and adaptive learning techniques to continuously enhance agent capabilities.

• Establish comprehensive testing and monitoring frameworks while overseeing production deployments that maintain high-performance standards under real-world conditions.

• Work closely with cross-functional teams to transform AI research into market-ready features that solve genuine business challenges.

Skillset

• Minimum 5 years of professional experience applying machine learning in commercial settings post-graduation.

• Must have at least 2 years’ experience working with LLMs and finetuning like QLORA / LORA and building RAG systems.

• Demonstrable success delivering end to end ML /AI products where generative AI drives core functionality, with particular emphasis on systems that exhibit autonomous behavior patterns.

Benefits

• Salary: $190,000 - $225,000 .

• Equity.

• Comprehensive health/dental/vision coverage.

• Retirement plans.

If interested hit apply below or reach out to me at joseph.mcdermott@alldus.com

Staff Machine Learning Engineer
Location: Remote

Are you tired of being kept in a restricted creative box with limited autonomy to push boundaries and ideas to solve problems with ML? 

Or not seeing your work directly impact the companies mission? 

If so , my HealthTech client is looking for a Staff ML Engineer who will love being in an autonomous environment where you will be given a problem area but full autonomy to be creative, push new ideas and build the ML solutions you feel is best. 

You'll join a smart and curious team who like to be challenged working on areas like Recommender Systems, LLMs & NLP, Timeseries and MLOps.

You'll achieve success here by combining your technical ML/AI end-to-end building skills with high positive energy and clear articulate communication skills. 

What else is in it for you? 

• Base Salary from 210-260k 
• Equity/Stocks

What do you need to be successful? 

• Are a technical leader who can work and manage their own projects and solutions with full autonomy. Like a Staff/ Principal ML Engineer / Scientist
• You can clearly articulate your thoughts and write and communicate them clearly.
• Build ML/AI solutions end to end in the ML Lifecycle from research to production
• Comfortable with being challenged and taking feedback to build better solutions with the right outcomes
• Can move with speed and intent and comfortable with life building a startup/scaleup

Interested? Click the apply or For more info reach out at anthonyh@alldus.com