Machine Learning Engineer Jobs

Our client, an exciting Series B FinTech Startup, is hiring a Staff Machine Learning Engineer to join the team remotely. The successful candidate will design and deploy advanced machine learning models to help build interpretable, high-performing and scalable solutions leveraging data from AWS and Snowflake environments to drive impactful, data-informed decisions.


Responsibilities

• Designing, developing and deploying machine learning models to support predictive analytics across key fintech applications.

• Collaborating closely with cross-functional teams, including Data, Engineering and Product, to deliver integrated, data-driven solutions.

• Ensuring high model performance and reliability through robust data pipelines and scalable infrastructure.

• Converting model outputs into actionable insights that drive business strategy and financial inclusion outcomes.

• Mentoring and supporting fellow team members to promote a culture of technical excellence and collaboration.

• Championing best practices in MLOps, data governance and regulatory compliance across the ML lifecycle.

Skillset

• PhD or Master’s degree in Computer Science, Mathematics, Statistics or similar.

• 10+ years of relevant experience in applying AI/ML techniques within the financial services or fintech sectors.

• Extensive experience developing and deploying machine learning models for tasks such as classification, regression and forecasting.

• Strong programming proficiency in Python and SQL.

• Hands-on experience with AWS, particularly SageMaker and Bedrock, for model training, deployment and fine-tuning.

• Familiarity with model lifecycle tools like MLflow, SageMaker Model Registry or similar platforms.

• Practical experience using PyTorch, Scikit-learn and Generative AI models.

• Knowledge of Large Language Models (LLMs) and frameworks such as Hugging Face, LangChain or Mirascope.

• Solid understanding of cloud-based data architecture, including Snowflake, Amazon S3 and PostgreSQL.

• Background working in FinTech, PropTech or startup environments is a bonus.

Benefits

• Salary: $200,000 - $235,000.

• Equity.

• Remote working.

• Comprehensive health, dental, and vision insurance.

• 401(k).

Our client, an exciting HealthTech organization, are hiring an AI Engineer to join the team in New York. The successful candidate will lead the architecture, development and deployment of Agentic AI and production-grade LLM applications, as well as design intelligent, scalable and resilient AI-based systems that drive real impact, transforming clinical and scientific workflows.


Responsibilities

• Design and architect agentic AI systems that address complex, real-world problems with clarity and precision.

• Lead the development of advanced prompting strategies and drive prompt engineering for production use.

• Make strategic decisions on model selection, workflow orchestration and system optimization.

• Establish and promote best practices for AI system reliability, observability and performance.

• Develop and maintain LLM-powered applications using modern Python frameworks.

• Build robust, asynchronous task-handling systems leveraging technologies like SQS and Redis.

• Architect fault-tolerant systems to handle LLM unpredictability and service disruptions gracefully.

• Mentor and guide engineers on AI architecture, agentic design and production tooling.

• Lead the adoption of emerging AI frameworks and tools across the organization.

• Play a key role in defining the AI roadmap and shaping the long-term technical direction.

Skillset

• PhD in Computer Science, Machine Learning or similar with at least 5 years of experience building, deploying and scaling production-grade AI/ML applications.

• Proven expertise in advanced prompt engineering and deploying LLM workflows in production environments.

• In-depth knowledge of agentic AI patterns and orchestration frameworks.

• Hands-on experience managing LLM operations, including deployment, scaling and lifecycle management.

• Strong command of modern Python, including asyncio, FastAPI and related frameworks.

• Familiarity with agentic and LLM tools such as LangGraph, PydanticAI or equivalent.

• Experience working with leading foundation models, including Claude, GPT-4 and others.

• Solid understanding of distributed systems, asynchronous processing and queuing technologies (e.g. SQS, Redis).

• Deep interest in applying AI to solve real-world challenges in healthcare and life sciences.

• Excellent written and verbal communication skills, with the ability to convey complex ideas clearly.

Benefits

• Salary: $180k - $200k

• Bonus.

• Comprehensive benefits package.

Engineering Manager - Data Science & Machine Learning
Location: London, UK

Are you a Data Science or Machine Learning Manager tired of the lack of investment or buy in from your executives? 

Or searching for that excitement again when building products that you can directly see tangible outcomes? 

If yes, check out the below:

An industry leading org built around fairness and sustainability within adtech is building products that can handle 400 billion auctions per day. 

Exceeding that of any Google or Amazon programmatic ad marketplace.The ML team is building products that help increase latency and speed. 

A globally distributed team with the bulk of the Data Science & Machine Learning org in Berlin. Their Executives call the ML team the "secret sauce" to their evolution. 

What's in it for you? 

• Salary £140-160k
• Hybrid Working environment
• Build at Scale - work on products that overshadow Google and Amazon search scales AND see direct impact through visible KPI's
• Buy in from Execs - No headaches around trying to get the smallest thing approved.
• Work in an environment that believes in constantly innovating with a product mindset (iterate , test then build)
• Progression - room to grow into a senior and then director. 

Sounds good? 

Check the below to see how to be successful in this role

What will you need to be successful? 

As the Engineering Manager you will be the right hand of the VP of ML.
To succeed in this role you need the core 4 skills. 

1. People Leadership:

• Get into the heads of your engineers understand their strengths and weaknesses, empower them , grow them understand how changes can benefit them.
• You need to know how to make your team tick in sync and proven experience of doing this before. 

2. Processes: 

• They are no longer a startup, moving from scrappy to self-sufficient & organized is a big goal for this Data Science team. Getting your team processes structured and self sufficient is a key piece of the puzzle for this hire to be successful. 

3. Data Science & ML: 

• You need to know how these models work and all the different variables that can go wrong. Models outputs are not always 100% accurate. 
• While not expecting you have Spidey like senses the data science intuition of knowing that a models output may be missing something is really critical and saves them a lot of €€€'s. 

4. Engineering:

• While any ML org would love just to do R+D the team have to make money. So having successfully built and launched products in Machine learning is the final core skill for the Engineering Manager. 
• Understand the challenges and how to of getting Data Science and ML models into production and the lifecycle of an ML product will help you achieve success in this role.

If you think you could thrive in this role get in touch via apply or drop me an email at anthonyh@alldus.com

Senior Software Engineer - Data / ML
Location: SF,CA or Remote

My client is building and scaling a Clinical Data Intelligence Platform to improve how Clinicians work with patients and their healthcare data.

As a Software Engineer you will be working with data-intensive systems that leverage AI and machine learning and  design/implement/improve core components in the Clinical Data Intelligence Platform.

You will get to work on complex, open-ended problems, building/shipping intelligent solutions, and rapidly iterating over their improvement. Areas like clinical/health information extractors, summarizers, data pipelines , improving knowledge graphs and improving data and ML systems. 

Some tools you get to use are: Python, SQL, Pytorch, GCP and a mix of some front end tech like typescript. 

What else is in it for you? 

• Base Salary up $180- 200k 
• Equity
• Fully Remote work
• Autonomy and impact with building things that help improve healthcare.

 

Our client, a leading FinTech organization, are hiring a Principal Machine Learning Engineer to join their Applied AI team in New York. The successful candidate will take technical ownership of a key product line, specializing in generative AI solutions that leverage large language models (LLMs) at their core.


Responsibilities

• Shape and execute the company’s AI strategy to drive continuous innovation and business growth.

• Work closely with product and engineering teams to develop comprehensive, end-to-end AI-powered products.

• Design and implement multi-agent systems that automate workflows and enhance operational efficiency.

• Develop AI-driven co-pilot tools to optimize advisor processes such as prospecting, conversion, onboarding and client servicing.

• Build tailored models to manage complex financial interactions, delivering fast, actionable insights.

• Create innovative solutions to seamlessly integrate and optimize legacy systems with modern AI technologies.

• Lead rapid zero-to-one product development cycles, including prototyping, testing and feature integration.

• Design and fine-tune both open-source and proprietary large language models for applications including question answering, summarization, reasoning and planning.

• Employ reinforcement learning methods to continually enhance model accuracy and performance.

Skillset

• Master’s or PhD degree in Computer Science, Engineering or similar.

• At least 7 years of experience in applied AI engineering, including at least 2 years in a technical leadership capacity.

• Demonstrated success delivering generative AI products based on large language models.

• Expertise in creating agentic workflows that enable autonomous AI functions.

• Previous experience in early-stage startups or building products from the ground up.

Benefits

• Salary: $200,000 - $250,000

• Equity.

• Comprehensive health, dental and vision insurance.

• Retirement benefits.

Our client, a leading Fintech company, are hiring a Staff Machine Learning Engineer to join their Applied AI team remotely. The successful candidate will be responsible for developing and deploying AI-powered multi-agent systems, human-in-the-loop co-pilots, specialized financial models and seamless legacy system integrations to automate processes, improve workflows and optimize existing financial technologies.


Responsibilities

• Design and fine-tune both open source and proprietary large language models (LLMs) for tasks including summarization, reasoning, planning and question answering.
• Build and enhance advanced Retrieval Augmented Generation (RAG) pipelines featuring embedding fine-tuning, hybrid search, reranking and knowledge graph integration.
• Develop autonomous AI agent workflows that support proactive and adaptive decision-making.
• Utilize reinforcement learning methods (such as PPO, DPO, GRPO) to continuously improve model performance.
• Create evaluation frameworks and define metrics to rigorously assess model effectiveness.
• Deploy AI models into production environments with a focus on low latency, reliability and scalability.
• Work closely with product and engineering teams to deliver comprehensive AI-powered financial solutions.

Skillset

• Master’s or Bachelor’s degree with at least 5 years of professional experience in applied AI/ML engineering.
• Demonstrated success in delivering generative AI products utilizing LLMs and autonomous agent workflows.
• Practical expertise with LLM fine-tuning methods (such as LoRA), inference frameworks (including vLLM) and sophisticated RAG pipelines.
• In-depth understanding of reinforcement learning fine-tuning techniques and associated frameworks.
• Early-stage startup experience is an advantage.

Benefits

• Salary: $190k - $225k DOE.
• Remote working.
• Comprehensive health, dental and vision coverage.
• Retirement benefits.

Our client, an exciting HealthTech company, are hiring a Senior Full Stack Engineer to join the team in New York. The successful candidate will play a key part in designing and building the backend systems that drive their AI-powered patient engagement platform, as well as lead engineering initiatives to create scalable infrastructure and deploy machine learning solutions that deliver real-time impact on patient outcomes.


Responsibilities

• Develop and maintain scalable backend services and APIs that support the AI-driven platform.

• Design and manage infrastructure for deploying and monitoring LLM-based applications.

• Partner with ML engineers to integrate conversational AI and predictive models.

• Lead the architecture of a flexible backend system that grows with data and product demands.

• Establish and manage CI/CD pipelines, automated testing and deployment processes.

• Write secure, efficient and maintainable code in line with engineering best practices.

• Create reusable components and libraries to streamline development workflows.

• Leverage cloud services (GCP, Azure, AWS) to build scalable and cost-effective infrastructure.

• Conduct code reviews and help define engineering standards.

• Identify, troubleshoot, and resolve system performance and reliability issues.

Skillset

• At least 5 years of experience in full stack development, with a minimum of 2 years in a senior engineering role.

• Proven ability to build early-stage products from concept to launch, and scale them successfully.

• Proficient in Node.js, Python, React, Express and relational database technologies.

• Practical experience or strong enthusiasm for integrating LLMs into production environments.

• Expertise in designing scalable and maintainable system architectures.

• Solid understanding of Clean Code principles, test-driven development (TDD), and CI/CD workflows.

• Familiarity with Docker, Kubernetes, and modern DevOps practices.

• Knowledge of AI/ML deployment workflows, A/B testing frameworks, and monitoring tools.

• Demonstrated leadership in driving engineering projects to successful delivery.

• Industry experience in healthcare technology is a bonus.

Benefits

• Salary: $160k - $175k

• Equity.

• Remote and flexible working options.

• Health, dental and retirement package.

Our client, an AI-driven company, are hiring a Generative AI Research Lead to join the team in Seattle, Washington or Palo Alto, California. The successful candidate will lead impactful AI research initiatives, work closely with internal engineering teams and a global network of academic partners, and play a key role in defining the technical direction of the company’s platform and community-driven efforts.


Responsibilities

• Lead research efforts in LLMs and VLMs, covering model development, evaluation, optimization and benchmarking.
• Shape the strategic direction of open-source AI/ML innovation within the organization’s  platform.
• Publish impactful research in leading academic venues.
• Build and nurture academic partnerships to strengthen the company’s global open research community.
• Mentor and guide team members, encouraging a culture rooted in scientific excellence and open collaboration.

Skillset

• PhD degree in Computer Science or a related field, with a specialization in AI/ML.
• Proven track record of publications in leading AI/ML conferences and journals.
• Demonstrated leadership in driving research initiatives and managing complex technical projects.
• Expert-level proficiency in machine learning, with hands-on experience in PyTorch, LLMs and VLMs.
• Strong commitment to open source and a passion for building in the open through community collaboration.

Benefits

• Salary: $160K–$220K DOE.
• Equity.
• Comprehensive health, dental and vision insurance.
• Hybrid working with offices in Seattle, WA and Palo Alto, CA.

Our client, an exciting AI-driven company, are hiring a Machine Learning Engineer to join the team in Seattle, Washington or Palo Alto, California. The successful candidate will be instrumental in building and scaling the infrastructure behind the company’s open AI platform, leveraging strong platform engineering skills and a solid machine learning background to support everything from training workflows to production deployment.


Responsibilities

• Develop and sustain reliable systems for training, deploying and scaling AI models.
• Build and enhance workflows for data preparation, model training, evaluation and deployment.
• Identify and resolve performance bottlenecks to ensure smooth operation for thousands of users and contributors.
• Automate infrastructure provisioning, deployment and monitoring following DevOps best practices.
• Collaborate closely with researchers and developers, both within the company and across our open-source community.
• Contribute to the development and direction of their open-source platform and foundational AI models.

Skillset

• Extensive experience in infrastructure engineering, DevOps or cloud-native environments.
• Deep understanding of machine learning principles and practical experience with end-to-end ML workflows.
• Proficient in Python and skilled in best practices for software development.
• Practical knowledge of cloud platforms such as AWS, Google Cloud or Azure.
• Experience with distributed computing and designing scalable systems.
• Enthusiasm for open-source development and active participation in community-driven projects.

Benefits

• Salary: $100K - $220K DOE.
• Equity.
• Comprehensive health, dental and vision insurance.

Our client, a cutting-edge AI company revolutionizing software development, is hiring a Senior Software Engineer, AI Platform to join their team in New York. The successful candidate will contribute to designing and building the next-generation real-time layer for executing, deploying, governing and auditing AI applications, workflows and agents.


Responsibilities

• Develop, implement and fine-tune enterprise-level AI models and reliable production workflows.
• Create and maintain a real-time distributed execution engine that supports AI applications, agents and workflows.
• Design scalable and resilient systems that enable multi-tenant and hybrid cloud deployments, featuring secure APIs and a versatile integrations platform.
• Work closely with customers and design partners to collect feedback, validate approaches and guide product development.
• Collaborate with the product team to shape the roadmap and keep pace with the latest advancements in AI infrastructure.

Skillset

• At least 5 years of experience deploying and managing production applications in cloud environments.
• Extensive knowledge of containers, virtual machines, caches, task queues, networking and operating systems.
• Proven experience in building and running production AI systems.
• Familiarity with AI inference methodologies.
• Proficient with machine learning frameworks such as PyTorch and TensorFlow.
• Strong product intuition with a commitment to delivering smooth and intuitive user experiences.
• Strategic thinker who can anticipate market demands and develop effective technical solutions.
• Startup mindset - quick to act, comfortable with uncertainty, and passionate about turning ideas into delivered products.

Benefits

• Salary: $170K - $210k
• Equity
• Remote working within the U.S.

Staff/Principal Product Manager
Location: Remote

My client, a HealthTech org turning in and outpatients hospital journeys personalized, have served over millions of patients per year. With their patient engagement platform they have reached a point where they are looking to hire new Staff/Principal Product Managers to help build out their portfolio with new and exciting products. 

If you are excited by helping to build new customer centric solutions, generating huge impact to customers and company while helping people lead healthier lives through tech (like AI) read on. 
 

What's in it for you? 

• Shape and define new products across Point of Care or Ambulatory using tools like AI.
• New division to build out a new suite of products.
• Opportunity to make huge org impact and grow out the division over time
• Job security - joining an established org owned by a leading venture group
• Base Salary: 190-220k (DOE)
• Fully Remote working

What do you need to be successful? 

• Youve been building products in healthtech that have added new revenue streams for the organization. The products have been customer centric where you've closely engaged with your end customer to solve their problems.
• Experienced in Patient care realm or Hospital Ops (Preferred)
• Ability to analyze market trends, understand customer processes, and translate these into actionable product strategies.
• Understand software engineering principles, including agile methodologies, continuous integration/continuous deployment (CI/CD), and product lifecycle management.
• Experienced with AI, machine learning, and other emerging technologies that can drive innovative product ideas

For more information apply or reach out to me at anthonyh@alldus.com

Our client, a fast-growing healthcare organization, are hiring a Machine Learning Engineer to join the team in New York or San Francisco. The successful candidate will play a key role in shaping the future of conversational AI by driving meaningful improvements in patient outcomes and transforming the way healthcare systems engage and communicate.


Responsibilities

• Develop and implement machine learning models tailored for SMS and voice-enabled conversational AI.

• Create scalable pipelines to support data ingestion, model training and real-time deployment.

• Fine-tune large language models using healthcare-focused datasets to enhance accuracy and relevance.

• Collaborate with full-stack engineering teams to seamlessly integrate AI capabilities into core product experiences.

• Lead the full lifecycle of model deployment, including monitoring, troubleshooting and iterative optimization.

• Continuously explore emerging AI/ML technologies and healthcare innovations to keep their solutions cutting-edge.

 

Skillset

• At least 4 years of experience in AI/ML engineering, with a strong focus on NLP, large language models and conversational AI.

• Proven track record of deploying ML models into production, preferably within healthcare or other regulated industries.

• Proficient in Python and experienced with ML frameworks such as TensorFlow and PyTorch.

• Strong skills in fine-tuning LLMs, prompt engineering and integrating models into real-world applications.

• Comfortable working with cloud platforms (e.g. AWS, Azure, GCP) and knowledgeable in MLOps practices for scalable deployments.

• Experience with voice and speech-based technologies, including recognition and generation.

• Hands-on background in designing and implementing conversational AI solutions.

• Exceptional analytical and communication abilities.

• Familiarity with HIPAA compliance and handling of sensitive healthcare data is a bonus.

Benefits

• Competitive Salary.

• Equity.

• Remote working.

• Comprehensive healthcare package.

Our client, an AI startup in the music industry, is hiring an Applied Machine Learning Engineer to join the team in California. The successful candidate will combine their expertise in Machine Learning engineering and software development to build intelligent tools for music creation and streamline complex audio workflows through automation.


Responsibilities

• Develop and apply machine learning algorithms to elevate their music creation tools and address real user needs.

• Leverage both ready-made and custom ML solutions to deliver impactful, efficient results.

• Ensure solutions are production-ready through domain shift testing, QA processes, A/B experiments and reliable deployment strategies.

• Write clean, scalable, and maintainable code with a focus on enhancing product performance and user experience.

• Design and manage robust data pipelines for processing audio and other unstructured data types.

• Collaborate closely with Product and Engineering teams to integrate ML models seamlessly into the platform.

• Fine-tune, evaluate and deploy pre-trained models for tasks such as audio analysis, melody generation and workflow automation.

• Advocate for ethical and responsible AI practices, prioritizing fairness, transparency and positive user outcomes.

Skillset

• Solid experience in software development using Python.

• Strong track record of implementing machine learning models, particularly using PyTorch.

• Hands-on experience deploying ML models in production environments; familiarity with AWS is a bonus.

• Comfortable handling unstructured data, especially audio.

• Strong aptitude for applied problem-solving, with a focus on quick, effective integrations.

• Familiarity with generative AI architectures such as transformers, large language models (LLMs), or diffusion models.

• A background or interest in music, audio production, or music technology.

• Excellent communication skills with ability to work seamlessly with both technical and non-technical team members.

Our client, a seed-stage AI Startup, are hiring a Senior Backend Engineer join their team in New York. The successful candidate will play a key role in building the next generation of web platforms within a fast-paced startup environment, transforming the way data is explored and understood.


Responsibilities

• As the Senior Backend Engineer, you will collaborate with Product and Design teams to gather and execute technical requirements.

• You will design, test and maintain features that improve the user experience for data exploration and analysis.

•  Identify and resolve production issues and optimize performance.

• Build integrations with third-party applications.

• Incorporate machine learning services into the web platform using internal and third-party APIs.

Skillset

• Minimum of four years of experience developing and maintaining production systems using Python.

• Proficient in Django, FastAPI, Flask as well as web APIs (REST, GraphQL, WebSocket).

• Experienced in using containerized services (Docker + Kubernetes) and cloud platforms (AWS, Azure, GCP).

• Strong knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery) and databases (Postgres, MySQL).

• Keen interest in Generative AI and Natural Language Processing.

Benefits

• Salary: $160k - $180k DOE.

• Equity.

• Remote working options.

• Health, vision and dental insurance.

Interested? Apply now in the link below.