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AI, ML, & Data Engineering

ADVANCE SOFTWARE ENGINEERING

AI, ML, & Data Engineering

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Job title: Mailchimp Developer Job type: Contract Contract Length: 3 months Rate: $40 - $50 Role Location: US Remote (Canada also considered) The company: Our client is a full-service, deeply digital advertising agency based in the North Mid-West, established over 40 years ago. It specializes in creating transformative branding and marketing solutions, including application development and marketing services, with a belief that courage and kindness have a place in business. They focus on driving uncommon success for clients in a collaborative environment. Role and Responsibilities: Develop and implement marketing automation workflows in MailChimp, including customer journeys, triggers, segmentation, and behavior-based messaging. Build and manage email campaigns in MailChimp, such as creating audiences, templates, dynamic content, trigger campaigns, and scheduled sends to support marketing initiatives and promotions. Design and optimize drip campaigns in MailChimp that nurture leads and engage customers across the lifecycle, while monitoring performance and adjusting based on analytics and campaign results. Analyze campaign performance metrics, such as open rates, click-through rates, and conversions, using MailChimp's reporting tools to provide insights and recommendations for improvements. Conduct A/B testing on email elements like subject lines, content, and timing to enhance engagement and effectiveness in MailChimp. Ensure all MailChimp campaigns comply with email regulations (e.g., CAN-SPAM, GDPR) and best practices for optimal deliverability. Job Requirements: Proven expertise in MailChimp with a laser-focused skillset (not an email generalist). Experience in developing marketing automation workflows, building email campaigns, and optimizing drip sequences as described above. Ability to work on a short-term project remotely from US, Canada, or LATAM regions. Proficiency in HTML and CSS for creating and customizing responsive email templates within MailChimp. Strong analytical skills, including experience with A/B testing and interpreting email performance metrics in MailChimp. Knowledge of email marketing compliance laws and integration of MailChimp with other tools or CRM systems. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.     We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process.     Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.   Check out our DE&I page here  

Job title: Senior Software Engineer Job type: Contract Contract Length: 12 months Rate: $70-90 per hour Role Location: United States The Company: A mission-driven healthcare technology organization focused on improving health equity for underserved populations across the United States. Through a scalable patient engagement and interoperability platform, the organization partners with healthcare providers to increase access to care, improve clinical outcomes, and address social drivers of health. The engineering team operates in a fully distributed environment and is scaling its integration capabilities to connect with leading EHR systems and healthcare data platforms. The team values secure, reliable, and maintainable engineering practices, with a strong emphasis on interoperability standards and cross-functional collaboration. You’ll join a collaborative, high-performing engineering team that works closely with Product, Customer Success, and external healthcare partners to deliver meaningful technical solutions that directly impact patient outcomes.   Role & Responsibilities: We’re seeking an experienced Senior Software Engineer with strong backend development experience to design, build, and scale reliable messaging and integration systems that power communication workflows across healthcare platforms. The ideal candidate has deep experience building backend services, APIs, and distributed systems, and brings a strong sense of technical ownership, system reliability, and continuous improvement. Experience working with healthcare integrations, messaging infrastructure, and data-driven decision making is highly valued. You will collaborate closely with engineering, product, customer success, and data teams to deliver scalable messaging workflows that improve patient engagement and operational outcomes. Key Responsibilities: Design, build, and maintain scalable backend services using Ruby on Rails, JavaScript, and relational databases, supporting high-volume messaging workflows, APIs, and system integrations. Develop and optimize messaging pipelines that support SMS, voice, and automated communication workflows, ensuring reliable delivery, consent management, scheduling, and orchestration of communications. Build and maintain secure API-to-API integrations that connect messaging platforms with external systems and services, ensuring reliable data exchange and workflow automation. Collaborate with engineering teams to design and evolve scalable messaging infrastructure, contributing to architectural decisions related to delivery optimization, system performance, and event-driven communication workflows. Leverage advanced SQL and analytical thinking to investigate system behavior, troubleshoot production issues, analyze delivery performance, and inform technical decisions with data. Partner closely with Product, Customer Success, Data, and Engineering teams to gather requirements, contribute to technical documentation, clarify workflows, and design messaging features that support business and user needs. Provide technical mentorship through code reviews, design discussions, and collaborative development, helping guide engineering best practices and supporting the growth of other engineers on the team. Write and maintain automated tests alongside production code, ensuring backend services are secure, reliable, and production-ready. Create clear technical documentation and internal enablement resources that help teams monitor, troubleshoot, and support messaging systems in production. Participate in on-call rotations and incident response, supporting messaging infrastructure to maintain high availability and performance. Actively contribute to engineering culture through technical reviews, retrospectives, architecture discussions, and technical debt management, helping evolve platform capabilities as the system scales. Core Requirements Minimum 5 years of hands-on software engineering experience, with strong proficiency in Ruby on Rails and JavaScript Minimum 5 years of experience building and scaling backend systems, APIs, and services Strong understanding of software development lifecycle, design patterns, object-oriented programming, and engineering best practices Advanced SQL proficiency with the ability to analyze large datasets to troubleshoot issues and inform technical decisions Experience designing and supporting high-throughput backend systems and distributed architectures Experience working in environments where automated testing is a core development practice Demonstrated ability to independently own complex features end-to-end, from technical design through production support Strong collaboration skills across technical and non-technical stakeholders Excellent written and verbal communication skills in a fully remote environment Growth-oriented mindset with strong attention to system reliability, scalability, and engineering quality Preferred Experience Experience working with messaging and communication platforms (e.g., SMS, voice, or messaging APIs) Experience designing event-driven systems, message queues, or high-throughput delivery pipelines Experience with Ruby on Rails, JavaScript (React), PostgreSQL, and cloud platforms Experience working with healthcare technology platforms or healthcare data integrations Experience contributing to API design improvements, messaging delivery optimization, or automated testing strategies Familiarity with messaging compliance requirements such as TCPA, consent management workflows, opt-out handling, or A2P messaging frameworks Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time. Check out our DE&I page here

Job title: Senior Machine Learning Engineer Job type: Permanent Salary: $150K – $230K + Equity  Role Location: Boston, United States The Company: We’re partnering with a well-funded, fast-scaling healthtech startup reinventing musculoskeletal care using proprietary AI and 3D-printing technology. The business has developed a web-based, sensor-free AI vision platform that transforms a 30-second scan into a clinically approved, precision-manufactured medical device. Already trusted by Fortune 50 employers, major health systems, and national manufacturers, the platform is expanding access to preventative care for hundreds of thousands of Americans. Fresh off a stealth funding round led by top-tier VCs, the company is: Growing 10x year-over-year Profitable month over month Scaling rapidly toward $100M ARR Operating with a high-ownership, execution-first culture out of Boston This is a rare opportunity to join at a true inflection point - early enough to shape the company, late enough to have real traction. Role and Responsibilities:  We’re hiring a Senior Machine Learning Engineer to help build the core AI systems behind a next-generation healthcare platform that turns smartphone video into clinically accurate 3D models of human anatomy. You will own the pipeline that bridges raw computer vision data and physical 3D-printed medical solutions, transforming noisy real-world scans into precise, CAD-compatible models used to improve patient outcomes. This role sits at the intersection of machine learning, computer graphics, biomechanics, and real-world manufacturing. You’ll work closely with engineers, researchers, and product leaders to design systems that translate cutting-edge ML research into reliable production technology used in healthcare. Job Requirements: 3D Reconstruction & Generative Vision Strong experience building models for 3D reconstruction from video or images, including approaches such as: Signed Distance Fields (SDFs) Neural Radiance Fields (NeRFs) Gaussian Splatting Mesh-based reconstruction Point cloud processing You understand the computational trade-offs between different 3D representations and how to apply them in real-world systems. Deep Learning & Computer Vision Deep experience designing and training deep learning models for complex visual data, including non-Euclidean data structures. You are comfortable building pipelines that extract meaningful structure from noisy, real-world video and imaging data. Strong proficiency in Python and PyTorch is required. CAD & Geometry Processing Experience working with computational geometry, CAD systems, or mesh processing pipelines. You can bridge the gap between AI inference outputs and parametric CAD models that can be directly used in manufacturing and 3D printing workflows. Production Machine Learning Experience deploying machine learning systems in production environments. You are comfortable working with ML infrastructure on AWS, including model deployment, scalable inference pipelines, and optimizing performance for real-world usage. Experience with SageMaker, Lambda, or serverless ML systems is a plus. Rapid Prototyping & Research Implementation You stay up to date with the latest research and can quickly translate new advances into working prototypes. You move fast, experiment frequently, and turn research ideas into practical systems. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time. Check out our DE&I page here

Job title: Senior Data Scientist Job type: Permanent Salary: Up to €60,000 Role Location: Athens, Greece – Hybrid (3 days a week onsite) The Company: Data-driven Travel Tech powering smarter pricing decisions! Role and Responsibilities We’re looking for a Senior Data Scientist to join a high-impact Data Science team that shapes the intelligence behind a leading Revenue Management System (RMS), a platform processing millions of tickets annually and helping travel operators optimise pricing, capacity, and demand forecasting across routes, seasons, and channels. You’ll work at the intersection of machine learning, optimization, and commercial strategy, designing models that directly influence business performance and customer satisfaction. What You’ll Be Doing Dynamic Pricing & Forecasting Build predictive models to forecast demand, occupancy, and revenue across routes and seasons. Design price elasticity models to recommend optimal pricing based on demand, competition, and time-to-departure. Use time-series forecasting and probabilistic modelling to anticipate external influences (weather, holidays, events, etc.). Optimization & Automation Develop algorithms that automatically adjust fares or allocations in real time. Apply reinforcement learning or optimization techniques to continuously improve pricing and inventory control. Experimentation & Causal Inference Run A/B and multivariate tests to evaluate new pricing strategies and product features. Use causal inference to pinpoint what truly drives conversion and yield performance. Data Infrastructure & Productization Work with ML and Data Engineers to deploy, monitor, and retrain models in production. Ensure scalable, reliable data pipelines and robust feature engineering processes. Business Insight & Collaboration Partner with Product, Engineering, and Commercial teams to align model outcomes with business objectives. Translate data-driven insights into actionable pricing and capacity strategies. Tech Stack & Tools Python, Pandas, NumPy, PyTorch/TensorFlow SQL, Spark Airflow, MLflow, or similar tools for workflow and model tracking AWS or GCP for scalable deployment and experimentation Impact As a Senior Data Scientist here, your models won’t sit in notebooks — they’ll drive real-world pricing and profitability decisions across millions of transactions. This is a rare opportunity to combine cutting-edge machine learning with tangible commercial outcomes in one of Europe’s most data-rich travel environments. Apply to be considered!  Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time? Check out our DE&I page here

Job title: Adversarial Tester (Prompt Injection Specialist) Job type: Contract  Contract Length: 2 months + extensions Rate: 400-500 per day Outside IR35 Role Location:  EU and US Fully Remote (Must be wiling to work US East Coast hours) Role and Responsibilities:  The Prompt Injection Specialist will design and execute structured adversarial prompt testing against a LLM chatbot. The focus is exclusively on prompt-layer vulnerabilities: jailbreaks, direct and indirect prompt injection, instruction override, and boundary attacks. This is not a cybersecurity or infrastructure penetration testing role. Job Requirements:    Hands-on experience with LLM prompt injection, jailbreaking, and adversarial prompt design Strong understanding of chatbot architectures, system prompt structures, and guardrail mechanisms Familiarity with OWASP LLM Top 10, MITRE ATLAS, and relevant adversarial ML frameworks Experience designing structured prompt test sets with coverage metrics Ability to define failure taxonomies and severity classification for prompt-layer attacks Proficiency with common LLM APIs and chat interfaces (OpenAI, Anthropic, Azure OpenAI, or equivalent)   Accessibility Statement:  Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.  We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion:  Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here   

Job title: Full Stack Engineer (Fluent in Dutch) Job type: Perm Salary: 70-80k + Bonuses Role Location: Amsterdam Role and responsibilities: You have an insatiable interest in, a passion for, and over five years of experience with the magical and fastest-growing JavaScript/ TypeScript language. If you work in data-driven environments as a Software Developer, Backend Developer, Full Stack Engineer then we're looking for you.  Job requirements: Design, develop, and maintain backend services and APIs using and JavaScript/TypeScript Build scalable, high-availability systems for cloud environments Develop RESTful (and/or GraphQL) APIs and integrate with external services Optimize application performance, reliability, and security Write clean, testable, and maintainable code following best practices Collaborate with cross-functional teams to define technical solutions Implement logging, monitoring, and troubleshooting for production systems Participate in code reviews and contribute to technical decisions Support CI/CD pipelines and deployment processes Fluent in Dutch Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.   We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time. Check out our DE&I page here

Job title: Python Data/Machine Learning Engineer (Fluent in Dutch) Job type: Perm Salary: 70-80k + Bonuses Role Location: Amsterdam Role and responsibilities: You have an insatiable interest in, a passion for, and over five years of experience with the magical and fastest-growing Python language. If you work in data-driven environments as a Data Engineer, Data Scientist, or Data Analyst, and have an affinity for designing and building Data Pipelines and Machine Learning solutions, then we're looking for you.  Job requirements: Python Python libraries and frameworks such as Pandas, scikit-learn, PySpark, Keras, TensorFlow and Airflow and tools such as Kafka and Docker. Experience in designing and building Data Pipelines. Experience with Machine Learning models in production environments. Experience with Machine Learning models such as Decision Trees / Random Forests, Deep Learning, simulations and optimization algorithms. Experience with Software Testing. Knowledge of methods such as Agile, Scrum and DevOps: CI/CD pipelines. Knowledge of containerization (Docker/Kubernetes). Knowledge of Relational and NoSQL databases. Knowledge of Cloud infrastructure (choice of Azure, AWS, Google, etc.). Fluent in Dutch Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.   We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time. Check out our DE&I page here Job title: Python Data/Machine Learning Engineer (Fluent in Dutch) Job type: Perm Salary: 70-80k + Bonuses Role Location: Amsterdam Role and responsibilities: You have an insatiable interest in, a passion for, and over five years of experience with the magical and fastest-growing Python language. If you work in data-driven environments as a Data Engineer, Data Scientist, or Data Analyst, and have an affinity for designing and building Data Pipelines and Machine Learning solutions, then we're looking for you.  Job requirements: Python Python libraries and frameworks such as Pandas, scikit-learn, PySpark, Keras, TensorFlow and Airflow and tools such as Kafka and Docker. Experience in designing and building Data Pipelines. Experience with Machine Learning models in production environments. Experience with Machine Learning models such as Decision Trees / Random Forests, Deep Learning, simulations and optimization algorithms. Experience with Software Testing. Knowledge of methods such as Agile, Scrum and DevOps: CI/CD pipelines. Knowledge of containerization (Docker/Kubernetes). Knowledge of Relational and NoSQL databases. Knowledge of Cloud infrastructure (choice of Azure, AWS, Google, etc.). Fluent in Dutch Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.   We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or?circumstances, with an equitable chance to achieve the careers?they deserve. Building a diverse future, one placement at a?time. Check out our DE&I page here

Product Manager

Staff  Fullstack Engineer Job Type: Permanent Salary: Up to $240,000 + Benefits Role Location: US (100% Remote) The Company We’ve partnered with a fast-growing healthtech startup building AI-powered tools that help healthcare organizations streamline operations, improve patient engagement, and optimize clinical workflows. The Role They’re hiring a Staff Fullstack Engineer to join a senior team of 10 engineers and lead development on two greenfield Rails 8 + Hotwire applications focused on AI-powered chat and workflow automation. This role is ideal for a product-minded engineer who enjoys working across the full stack and collaborating closely with product and design to deliver thoughtful, high-quality user experiences. What You’ll Do Lead development of two new Rails 8 + Hotwire applications from the ground up Build full-stack features spanning backend systems, frontend interfaces, and UX details Develop AI-powered chat and workflow automation tools for healthcare operations Own key technical decisions and contribute to product architecture Collaborate with a senior engineering team to ship polished, production-ready features Work autonomously in a fully remote, product-driven environment Ideal Background 7+ years of experience building production web applications Strong full-stack experience with Rails and Hotwire Comfortable owning projects end-to-end from architecture through UI implementation Ability to bridge backend engineering, frontend development, and product design Experience working in autonomous, senior engineering teama Benefits Base salary up to $240,000 100% remote within the US Comprehensive benefits package Opportunity to work on AI-powered healthcare products with real-world impact Collaborative environment with a highly experienced engineering team  

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