1,726 to 1,750 of 1,849 Remote Machine Learning Jobs

EdTech leader has been shaping how millions of children learn for 15+ years. They're now embarking on the next chapter: transforming their multi-brand platforms into AI-first learning experiences that empower every child to grow with confidence. They're looking for a strategic, people-first Chief Technology Officer (CTO) to lead this transformation - shaping technical vision, scaling … Amsterdam area (hybrid 50/50) Env : B2C/B2B2C EdTech multi-brand SaaS learning platforms Tech : Python, Ruby on Rails, VueJS, ReactJS, Unity, AWS, microservices, AI/ML Role As CTO you'll set the long-term tech vision and own the roadmap to deliver scalable, secure, AI-driven learning experiences across brands used by millions of …/platform environments Deep expertise in architecture, cloud infra (AWS or GCP), microservices, security at scale, CI/CD Fluent in AI trends with practical experience applying AI/ML to enhance user experiences Excellent communicator who thrives at the intersection of business and technology Proven leader of inclusive, high-performing teams with strong mentoring skills Nice to haves Background More ❯

on skill and experience level. Job Description Summary: The main function of an AI Application Security (AppSec) engineer is to plan, coordinate, and implement security measures for AI/ML information systems to regulate access to computer data and prevent unauthorized modification, destruction or disclosure of information. A typical Application Security engineer is responsible for planning, coordinating and implementing security … manage one's time. Expert leadership and mentoring skills necessary to provide support and constructive performance feedback. Hands-on experience in red-teaming and penetration testing of AI/ML systems (including LLMs); Automating and integrating application security capabilities in the SDLC/DevOps processes for AI/ML applications. Expert knowledge of Application Security practices including SAST, DAST, SCA … s degree in computer programming or relevant field required. Bachelor's degree preferred. 10+ years' experience required. Hands-on experience in red-teaming and penetration testing of AI/ML systems (including LLMs); Automating and integrating application security capabilities in the SDLC/DevOps processes for AI/ML applications. Expert knowledge of Application Security practices including SAST, DAST, SCA More ❯

AI systems that operate autonomously across diverse data sources and workflows. Implement scalable data processing pipelines using Apache Spark and Python. Build, train, and fine-tune advanced AI/ML models for agent reasoning, planning, and execution. Integrate solutions with MCP (Massively Concurrent Processing) servers or equivalent architectures. Work closely with data engineers, researchers, and platform teams to ensure robust … deployment. Continuously research and integrate emerging techniques in agent-based AI, multi-agent systems, and reinforcement learning. Required Skills & Experience: 4+ years of experience in AI/ML engineering or data-intensive systems. Strong proficiency in Python for AI, ML, and data engineering tasks. Deep experience with Apache Spark (PySpark or Scala-based implementations). Solid understanding and hands-on More ❯

Overview Company Overview: Panopto is a leader in visual and audio-based learning, empowering learners with interactive video and solutions that matter. We are a remote-first company with approximately 200 professionals and backed by a leading private equity firm. We are seeking an experienced Director of Platform Product Manager to lead the next generation of our audio video … learning platform. Position Summary The Director, Platform Product Manager (PPM) is a strategic role reporting to the Chief Product Officer. You will define the vision and roadmap for shared platform services powering Panopto VCMS and the Elai AI video solution. You will drive scalability, performance, and security across the product suite and assist the CPO with evaluating technology integration … Education: Bachelor's degree in Computer Science, Engineering, Business, or related technical field Preferred Qualifications Experience with AI Services and Platforms: Familiarity with integrating platform services for AI/ML deployment, APIs, or GenAI Exceptional Communication & Presentation Skills: Ability to articulate platform strategies to engineers, PMs, and executives; capable of writing detailed specifications and delivering presentations Experience in EdTech or More ❯

impact, production-focused environment where data science meets operational excellence. The Opportunity Working closely with the Head of Routing & Optimisation, you'll design and develop scalable algorithms , heuristics , and ML/optimisation models that tackle some of the most critical challenges in logistics, from routing and pricing to planning and forecasting. You'll collaborate cross-functionally with product and tech … including Cycle to Work and EV scheme Be part of a high-growth tech-led logistics company that values innovation and impact Skills and Experience Experience building optimisation or ML models in logistics , transport , or consulting Expertise in Mixed Integer Programming , heuristics , approximate algorithms , constraint programming , or ML/DL Hands-on with Python and SQL Domain knowledge in areas More ❯

to align capabilities and avoid duplication Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes Mentor junior engineers and establish best practices for AI/ML infrastructure Influence across organisational boundaries and champion modern engineering trends Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling Tech Stack Programming: Python (Java familiarity More ❯

to align capabilities and avoid duplication Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes Mentor junior engineers and establish best practices for AI/ML infrastructure Influence across organisational boundaries and champion modern engineering trends Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling Tech Stack Programming: Python (Java familiarity More ❯

to align capabilities and avoid duplication Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes Mentor junior engineers and establish best practices for AI/ML infrastructure Influence across organisational boundaries and champion modern engineering trends Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling Tech Stack Programming: Python (Java familiarity More ❯

ll join a small, collaborative data team in a Full stack Data Science role (ETL process through to building predictive models) working on live analytics, forecasting, and AI/ML projects. Key responsibilities include: Enriching and preparing datasets to uncover actionable insights Building and evaluating time-series forecasts Prototyping AI/ML models (NLP and computer vision exposure) Translating findings More ❯

/platform teams to align capabilities and avoid duplication Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed Work across organizational boundaries and champion modern engineering trends Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling More ❯

/platform teams to align capabilities and avoid duplication Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed Work across organizational boundaries and champion modern engineering trends Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling More ❯

/platform teams to align capabilities and avoid duplication Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed Work across organizational boundaries and champion modern engineering trends Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling More ❯

/platform teams to align capabilities and avoid duplication Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes Contribute to best practices for AI/ML infrastructure and mentor junior engineers when needed Work across organizational boundaries and champion modern engineering trends Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling More ❯

code alongside the team (this is a hands-on role) Align technical delivery with business goals through close collaboration with stakeholders Mentor and support developers, fostering a culture of learning and improvement Maintain high standards for code quality, scalability, and team communication What You’ll Bring 7+ years’ experience in software engineering, including recent time in a senior or … and CI/CD practices A thoughtful approach to system design, security, and performance at scale Great communication and stakeholder engagement skills Bonus points for experience with AI/ML tools or data-led platforms Tech Stack Overview Backend: NestJS/Node.js/TypeScript Frontend: Vue 3/TypeScript Cloud: AWS Databases: PostgreSQL/MongoDB Tools: Rush (monorepo), GitHub, Notion More ❯

code alongside the team (this is a hands-on role) Align technical delivery with business goals through close collaboration with stakeholders Mentor and support developers, fostering a culture of learning and improvement Maintain high standards for code quality, scalability, and team communication What You’ll Bring 7+ years’ experience in software engineering, including recent time in a senior or … and CI/CD practices A thoughtful approach to system design, security, and performance at scale Great communication and stakeholder engagement skills Bonus points for experience with AI/ML tools or data-led platforms Tech Stack Overview Backend: NestJS/Node.js/TypeScript Frontend: Vue 3/TypeScript Cloud: AWS Databases: PostgreSQL/MongoDB Tools: Rush (monorepo), GitHub, Notion More ❯

code alongside the team (this is a hands-on role) Align technical delivery with business goals through close collaboration with stakeholders Mentor and support developers, fostering a culture of learning and improvement Maintain high standards for code quality, scalability, and team communication What You’ll Bring 7+ years’ experience in software engineering, including recent time in a senior or … and CI/CD practices A thoughtful approach to system design, security, and performance at scale Great communication and stakeholder engagement skills Bonus points for experience with AI/ML tools or data-led platforms Tech Stack Overview Backend: NestJS/Node.js/TypeScript Frontend: Vue 3/TypeScript Cloud: AWS Databases: PostgreSQL/MongoDB Tools: Rush (monorepo), GitHub, Notion More ❯

code alongside the team (this is a hands-on role) Align technical delivery with business goals through close collaboration with stakeholders Mentor and support developers, fostering a culture of learning and improvement Maintain high standards for code quality, scalability, and team communication What You’ll Bring 7+ years’ experience in software engineering, including recent time in a senior or … and CI/CD practices A thoughtful approach to system design, security, and performance at scale Great communication and stakeholder engagement skills Bonus points for experience with AI/ML tools or data-led platforms Tech Stack Overview Backend: NestJS/Node.js/TypeScript Frontend: Vue 3/TypeScript Cloud: AWS Databases: PostgreSQL/MongoDB Tools: Rush (monorepo), GitHub, Notion More ❯

team. Attract, hire and develop a team of 510 consultants in the first year. Set high professional standards, provide coaching and feedback, and foster a culture of authenticity, continuous learning and excellence. Deliver intelligent transformation for clients. Oversee engagements that blend strategy, design, data, AI and change management. Use the resources and case studies from our European practice and … relationships with clients based on trust and impact. Lead innovation and thought leadership. Champion the full stack AI consulting vision. Explore how emerging AI technologies (LLMs, agents, computer vision, ML Ops) can transform consulting delivery and client operations. Develop new service offerings, prototypes and market narratives that differentiate Riverflex. Collaborate across Riverflex. Work closely with our Dutch leadership and global … centred culture. Hybrid working, 25+ days leave plus a company shutdown over Christmas/New Year, option to work from abroad for up to six weeks, and a generous learning & development budget. Modern tools & perks. Access to cutting edge tools (e.g., ChatGPT Pro, Notion), annual company off sites, and collaboration with global colleagues who share a passion for technology More ❯

hours with TOIL Remote-First Culture: Work from anywhere in the UK, with optional office access Career Coaching: Regular 1:1s with a dedicated coach to support your growth Learning & Development: 5 paid training days per year + premium resources Tech Stack Exposure: Java, Spring Boot, AWS, React.js, DevOps, and more Inclusive Culture: Join a collaborative team that values … on with AWS (Lambda, ECS, S3, etc.) Front-end experience with React.js , TypeScript , or Angular.js Familiar with CI/CD pipelines and DevOps tooling Bonus: Exposure to AI/ML , Kubernetes , or serverless architecture Security Clearance Notice Due to the nature of the work, SC Clearance eligibility is essential . You must be a British Citizen and have lived in More ❯

team. This role is critical to assessing and improving an established Snowflake environment, driving cost optimisation, enhancing operational rigour, and supporting the team's move toward predictive analytics and ML Ops workflows. Role The Data Engineer will own and assess the Snowflake platform, proposing and executing optimisation around performance, cost, scalability, and architecture improvements. Lead DBT development and maintenance, with … maintain CI/CD pipelines to automate reliable deployment of data transformations. Provide deep insight into Snowflake infrastructure, including cost and pricing models, performance tuning, and resource governance. Support ML Ops/predictive analytics operationalisation - managing updates, performance monitoring, and change rollout rather than building models from scratch. Be a technical mentor and knowledge resource within the team - promoting best … workflows. Strong familiarity with Snowflake infrastructure, performance tuning, and cost modelling. Excellent communication skills and ability to mentor or teach other engineers. Desirable/Nice to Have Exposure to ML Ops (particularly around operationalising models). Familiarity with data science environments and predictive analytic workflows. Company Global Pharmaceuticals organisation Hybrid working - 1 day per week onsite Outside IR35 Salary & Benefits More ❯

Data Scientist | Fully Remote | Health and Wellbeing We’re hiring an Data Scientist to help build and ship ML and LLM features in a regulated environment with sensitive data. You’ll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary … pipelines for batch and streaming with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you’ll bring Hands-on Python for data science and ML Practical experience with LLM frameworks (e.g. LangChain) Familiar with Spark/Kafka and End-to-end pipeline experience Databricks, MLflow, Docker, Kubernetes Clear communication with technical and non-technical stakeholders More ❯

museums to digitise previously unobtainable assets at scale. This gives us one of the most unique and physically accurate 3D datasets in the world. Now we’re building an ML-powered pipeline that can automatically predict material properties (diffuse, roughness, specular, metallic, normals) from photogrammetry input alone - without flash. This is made possible by tapping into our uniquely rich dataset … our web SaaS platform, enabling new 3D-PBR asset creation workflows. Work with frontend developers to design and implement high-performance APIs that deliver exceptional user experiences. Integrate with ML infrastructure to orchestrate model workflows, manage job queues, and deliver results to users. This is a high-impact role for someone that loves to define and bring completely new technologies … and subscription management (Stripe) Design and manage user databases and data models (MongoDB, PostgreSQL) Implement asset storage, retrieval, and management systems (AWS S3) Build job queue management for async ML workflows (SNS, SQS) Setup application monitoring and logging (CloudWatch, Grafana, Prometheus) Implement CI/CD for application deployment (Bitbucket Pipelines) Create API documentation and developer tools What we are looking More ❯

museums to digitise previously unobtainable assets at scale. This gives us one of the most unique and physically accurate 3D datasets in the world. Now we’re building an ML-powered pipeline that can automatically predict material properties (diffuse, roughness, specular, metallic, normals) from photogrammetry input alone - without flash. This is made possible by tapping into our uniquely rich dataset … our web SaaS platform, enabling new 3D-PBR asset creation workflows. Work with frontend developers to design and implement high-performance APIs that deliver exceptional user experiences. Integrate with ML infrastructure to orchestrate model workflows, manage job queues, and deliver results to users. This is a high-impact role for someone that loves to define and bring completely new technologies … and subscription management (Stripe) Design and manage user databases and data models (MongoDB, PostgreSQL) Implement asset storage, retrieval, and management systems (AWS S3) Build job queue management for async ML workflows (SNS, SQS) Setup application monitoring and logging (CloudWatch, Grafana, Prometheus) Implement CI/CD for application deployment (Bitbucket Pipelines) Create API documentation and developer tools What we are looking More ❯

museums to digitise previously unobtainable assets at scale. This gives us one of the most unique and physically accurate 3D datasets in the world. Now we’re building an ML-powered pipeline that can automatically predict material properties (diffuse, roughness, specular, metallic, normals) from photogrammetry input alone - without flash. This is made possible by tapping into our uniquely rich dataset … our web SaaS platform, enabling new 3D-PBR asset creation workflows. Work with frontend developers to design and implement high-performance APIs that deliver exceptional user experiences. Integrate with ML infrastructure to orchestrate model workflows, manage job queues, and deliver results to users. This is a high-impact role for someone that loves to define and bring completely new technologies … and subscription management (Stripe) Design and manage user databases and data models (MongoDB, PostgreSQL) Implement asset storage, retrieval, and management systems (AWS S3) Build job queue management for async ML workflows (SNS, SQS) Setup application monitoring and logging (CloudWatch, Grafana, Prometheus) Implement CI/CD for application deployment (Bitbucket Pipelines) Create API documentation and developer tools What we are looking More ❯

museums to digitise previously unobtainable assets at scale. This gives us one of the most unique and physically accurate 3D datasets in the world. Now we’re building an ML-powered pipeline that can automatically predict material properties (diffuse, roughness, specular, metallic, normals) from photogrammetry input alone - without flash. This is made possible by tapping into our uniquely rich dataset … our web SaaS platform, enabling new 3D-PBR asset creation workflows. Work with frontend developers to design and implement high-performance APIs that deliver exceptional user experiences. Integrate with ML infrastructure to orchestrate model workflows, manage job queues, and deliver results to users. This is a high-impact role for someone that loves to define and bring completely new technologies … and subscription management (Stripe) Design and manage user databases and data models (MongoDB, PostgreSQL) Implement asset storage, retrieval, and management systems (AWS S3) Build job queue management for async ML workflows (SNS, SQS) Setup application monitoring and logging (CloudWatch, Grafana, Prometheus) Implement CI/CD for application deployment (Bitbucket Pipelines) Create API documentation and developer tools What we are looking More ❯