26 to 50 of 669 Remote Machine Learning Jobs

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data … remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that can read, understand, and structure … world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them into structured insights. ⚙ Hands-On ML Experience – Learn the full ML workflow — from cleaning data to deploying models and monitoring them in production. 📈 Mentorship & Growth – Work closely with experienced ML engineers who will guide your technical More ❯

Are you a Junior Machine Learning Engineer eager to turn messy, complex data into real-world intelligence? We’re looking for a curious and motivated Junior ML Engineer to join a hybrid-working team building cutting-edge data intelligence tools for the financial sector. You’ll spend part of your time collaborating in person with engineers and data … remotely — giving you the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that can read, understand, and structure … world clients. What’s in it for you? 📄 AI That Matters – Work on models that make sense of unstructured financial documents and turn them into structured insights. ⚙ Hands-On ML Experience – Learn the full ML workflow — from cleaning data to deploying models and monitoring them in production. 📈 Mentorship & Growth – Work closely with experienced ML engineers who will guide your technical More ❯

purpose of this role is designing, implementing, and completing procedures and tools for continuous performance evaluation and testing of Machine Vision and Machine Learning (MV/ML) Inspection Applications, within the scope of BAU Patching Global Program. Additionally, this role will be responsible of any software development on MV/ML applications required to meet CHEP IT … Security standards. MV/ML Automatic Inspection Systems are deployed globally in CHEP and the Subco service center network. Key Responsibilities May Include: Provide continuous maintenance and troubleshooting support to service centers to ensure sustained automated vision inspection system performance Support vision inspection system quality performance and capability improvement programs Monitor and support automated inspection system performance, consistency and predictability … deploy and sustain defined best practices and continuous lessons learned Major/Key Accountabilities Design, implement and complete Testing and Simulation procedures to be applied to the MV/ML Inspection Applications, to ensure proper operation and performance with new Cyber Security patches and tools regularly extended by BAU Patching program. Develop any software modification on existing MV/ML More ❯

purpose of this role is designing, implementing, and completing procedures and tools for continuous performance evaluation and testing of Machine Vision and Machine Learning (MV/ML) Inspection Applications, within the scope of BAU Patching Global Program. Additionally, this role will be responsible of any software development on MV/ML applications required to meet CHEP IT … Security standards. MV/ML Automatic Inspection Systems are deployed globally in CHEP and the Subco service center network. Key Responsibilities May Include: Provide continuous maintenance and troubleshooting support to service centers to ensure sustained automated vision inspection system performance Support vision inspection system quality performance and capability improvement programs Monitor and support automated inspection system performance, consistency and predictability … deploy and sustain defined best practices and continuous lessons learned Major/Key Accountabilities Design, implement and complete Testing and Simulation procedures to be applied to the MV/ML Inspection Applications, to ensure proper operation and performance with new Cyber Security patches and tools regularly extended by BAU Patching program. Develop any software modification on existing MV/ML More ❯

purpose of this role is designing, implementing, and completing procedures and tools for continuous performance evaluation and testing of Machine Vision and Machine Learning (MV/ML) Inspection Applications, within the scope of BAU Patching Global Program. Additionally, this role will be responsible of any software development on MV/ML applications required to meet CHEP IT … Security standards. MV/ML Automatic Inspection Systems are deployed globally in CHEP and the Subco service center network. Key Responsibilities May Include: Provide continuous maintenance and troubleshooting support to service centers to ensure sustained automated vision inspection system performance Support vision inspection system quality performance and capability improvement programs Monitor and support automated inspection system performance, consistency and predictability … deploy and sustain defined best practices and continuous lessons learned Major/Key Accountabilities Design, implement and complete Testing and Simulation procedures to be applied to the MV/ML Inspection Applications, to ensure proper operation and performance with new Cyber Security patches and tools regularly extended by BAU Patching program. Develop any software modification on existing MV/ML More ❯

Learning Engineer to join their London Government team on a 6-month fixed-term contract . This role offers the opportunity to design, build, and deploy production-grade ML systems that have a direct impact on government services and policy delivery. What you'll be doing Designing and delivering software, infrastructure, and MLOps systems that bring ML models into … real-world use. Collaborating in cross-functional teams with engineers, data scientists, product managers, and designers. Creating scalable, reusable tools that improve ML deployment and operationalisation. Leading on technical design and delivery of government-focused projects. Providing technical expertise to stakeholders and mentoring less experienced engineers. Developing and embedding best practices for managing ML in production. What we're looking … for Active SC Clearance Strong software engineering background with proficiency in Python. Experience deploying ML models built with frameworks such as PyTorch, TensorFlow, or Scikit-learn. Knowledge of probability, statistics, and common ML techniques. Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP). Proficiency with containers, Docker, and Kubernetes. Strong communication skills with the More ❯

learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description: Essential Responsibilities … Lead the development and optimization of advanced machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Minimum Qualifications: Minimum of 8 years of relevant … work experience and a Bachelor's degree or equivalent experience. Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Preferred Qualification: MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) Proficiency in SQL, Python and relevant ML More ❯

Zachary Piper Solutions is seeking highly skilled and motivated AI/ML Engineers to join a dynamic Federal AI Engineering Team (GenAI/Public Sector). In this role, you will help deliver high-impact, AI-powered mission solutions for government customers. You'll work with scalable, high-performance platforms designed to handle billions of data points, contributing to backend … systems, distributed architectures, and machine learning infrastructure in secure environments. Hybrid Remote (30% - 50%): Washington, DC; San Francisco, CA; St. Louis, MO; Honolulu, Hawaii Responsibilities: • Design and implement scalable backend systems for Federal customers, leveraging modern and cloud-native AI infrastructure. • Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet … the unique needs of government agencies operating in secure environments. • Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners. • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions. • Participate actively in customer engagements, working closely with stakeholders to understand More ❯

and best practices Define and own the data science roadmap, aligning machine learning and analytics initiatives with business and product strategy Architect and deliver end-to-end ML pipelines (from data acquisition to model deployment) in collaboration with data engineering and MLOps teams Design, validate, and deploy machine learning models and advanced analytics solutions that support … efficient across cloud platforms Establish and enforce standards for model reproducibility, monitoring, documentation, and governance Act as a thought leader within the organization, staying current with emerging AI/ML technologies and evaluating their strategic value Qualifications Experience Extensive experience in data science, machine learning, or advanced analytics, ideally in a technical leadership role Proven expertise in Python … and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and experience across NLP, computer vision, and LLMs Strong statistical foundation, including A/B testing, causal inference, and experimental design Proficiency in SQL and working with large-scale, cloud-based datasets Deep understanding of MLOps principles and integrating ML solutions into production environments Demonstrated ability to translate ambiguous business problems into More ❯

AI-powered mission solutions for government customers. You'll work with scalable, high-performance platforms designed to handle billions of data points, contributing to backend systems, distributed architectures, and machine learning infrastructure in secure environments. Hybrid Remote (50%): Washington, DC; San Francisco, CA; St. Louis, MO; Honolulu, Hawaii Responsibilities: • Design and implement scalable backend systems for Federal customers … to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments. • Develop distributed systems, data-intensive applications, and machine learning infrastructure to enable real impact for mission owners. • Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI … of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. • Understanding of data modeling, data warehousing, and data governance principles • Machine Learning Infrastructure: Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and experience in designing and implementing machine learning infrastructure. Understanding model serving, monitoring, and More ❯

focused solutions that empower organizations and end users to operate smarter, faster, and more securely in dynamic environments. Responsibilities Job Description: Iron EagleX is seeking a highly skilled Senior Machine Learning Engineer to join our dynamic team in Crystal City, VA. The ideal candidate will specialize in AI-driven automation, prompt engineering, and machine learning model … on project needs. Job Duties Include (but not limited to): Develop, optimize, and implement AI workflows with a strong focus on prompt engineering and automation. Design and fine-tune machine learning models to enhance performance and effectiveness. Research and apply best practices for large language model (LLM) utilization, including prompt orchestration and fine-tuning techniques. Develop and integrate … Citizens are eligible for this role. Desired Skills and Experience: Master's, Ph.D, or coursework/certifications in a related field Familiarity with reinforcement learning and other advanced ML techniques. Experience deploying AI models in production environments. Education & Certifications: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience). Advanced degrees are More ❯

Job Title: Machine Learning Engineer Location: Hybrid - Travel to SCIFs in DMV area as and when needed Clearance: Top Secret or higher Salary: $180k-$215k + Equity Join a pioneering company at the forefront of Intelligent Exploration and Enterprise AI. This innovative organization is seeking a Machine Learning Engineer to play a crucial role in enhancing … their cutting-edge AI Platform. With a focus on bridging machine learning, data engineering, and software development, this position offers exciting career advancement opportunities for those looking to move into senior engineering roles or technical leadership. The company is known for its dynamic culture, commitment to innovation, and a collaborative environment that fosters professional growth. As a key … applications, considering current trends and future growth. Collaborate with Technical Product Managers to drive usability enhancements, ensuring products meet user expectations. What We're Looking For: Proven experience in machine learning, data engineering, or software development. Proficiency in Python, particularly with SDKs for data visualization. Strong problem-solving skills, especially in optimizing performance and scalability. Ability to work More ❯

to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. You'll work at the intersection of data science, ML infrastructure, and product innovation, leading efforts to build and evolve ML-driven capabilities, while also ensuring the reliability and scalability of their models in production environments. What You'll Do … learning models focused on understanding behaviour patterns and identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML … powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy with tactical improvements. Champion code quality, observability, and resilience within their ML systems through reviews and hands-on contributions. Help shape their internal ML standards and practices, ensuring they stay ahead of industry advancements. Offer technical mentorship and be a thought partner to colleagues More ❯

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯

which continues to keep up with the market’s demands. *The Role:* This is a key role within our growing Data Science team, where you'll use cutting-edge machine learning and AI to solve complex business problems. You'll have the autonomy to lead projects from ideation to deployment, directly impacting our business across departments like Marketing … great Company culture * Flexi-time * Your birthday off * Generous staff discount * Healthcare cash plan * And tons more... *Your day-to-day duties and responsibilities will include:* * End-to-end Machine Learning: Lead the design, development, and deployment of machine learning models that solve real-world problems. * Pushing boundaries with AI: We’re continuing to explore applications … stakeholders, enabling data-driven decisions. * Model Management: Own the full lifecycle of deployed models, from monitoring performance and accuracy to identifying opportunities for optimization. * Strategic Impact: Contribute to our machine learning roadmap, helping to define the future of our data science capabilities. * Data Stewardship: Collaborate with the team to ensure data integrity, maintain our BI platform, and optimize More ❯

teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role We are excited to be hiring a new Data Science Manager for our team! Ideally … of application. Data Science sits at the heart of this USP, developing the credit risk models to underwrite loan and credit card products. You will experiment with the latest machine learning techniques combined with a rich data repository to build and deploy best-in-market risk models. This role will primarily focus on our UK Cards business, but … team and business Key Skills Knowledge of machine learning techniques and their respective pros and cons. Ability to communicate complex topics clearly and concisely Proficiency with creating ML models in Python with experiment tracking tools, such as MLFlow. Curiosity, creativity, resourcefulness and a collaborative spirit Interest in problems related to the financial services domain - a knowledge of Credit More ❯

build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? Intercom's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. We work in partnership with Product and Design … functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer … be doing? Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence Identify areas where ML can create value for our customers Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research - Deeply understand More ❯

be passionate about bridging the gap between data science experimentation and scalable production systems, driving automation, and enabling faster innovation cycles. Key Responsibilities Architect, build, and maintain production-grade ML Ops pipelines to automate deployment, monitoring, and scaling of machine learning models. Collaborate with data scientists and ML engineers to reduce time-to-production for experiments and prototypes. … AWS cloud services (EC2, S3, Lambda, SageMaker, RDS, DynamoDB, Redshift, etc.) to build robust, scalable, and cost-effective solutions. Apply AIOps practices to enhance monitoring, automation, and resilience of ML systems. Implement best practices in data engineering, version control, CI/CD, and infrastructure as code. Ensure the security, reliability, and compliance of data pipelines and deployed ML solutions. Mentor … a Senior Data Engineer, MLOps Engineer, or similar role. Strong background in data structures, algorithms, and software engineering principles. Advanced proficiency in Python for data wrangling, pipeline automation, and ML workflows. Expertise in AWS services, including databases (RDS, DynamoDB, Redshift) and machine learning/AI (SageMaker, AI/ML frameworks). Hands-on experience with ML pipeline orchestration More ❯

consultants are provided *10 PTO days per calendar year*. *Job Description:* We are seeking a highly skilled *Machine Learning Engineer* with strong expertise in AI/ML systems and automotive applications. This role involves building and optimizing large-scale foundation models and supporting advanced AI research and development. *Responsibilities:* * Design, train, and deploy machine learning … rapid prototyping and transition to production-ready implementations. * Follow best practices in software engineering: unit testing, documentation, code review, continuous integration, and dependency management. *Qualifications:* * 4+ years of professional ML engineering experience in an AI/ML-focused environment. * Hands-on expertise with *PyTorch*. * *Automotive domain experience is mandatory.* * Strong proficiency in *Python* and modern development workflows. * Practical experience … with large-scale training, optimization, and deployment of ML models. *#MachineLearning #MLEngineer #ArtificialIntelligence #AIJobs #PyTorch #DeepLearning #FoundationModels #ComputerVision #NaturalLanguageProcessing #AutomotiveTech #ContractJobs #LosAltosJobs #HybridJobs #TechCareers* Job Type: Contract Pay: $70.00 - $75.00 per hour Work Location: Hybrid remote in Los Altos, CA More ❯

Talk to us about how we can support you. We are looking for a Machine Learning Engineer to join our growing team, to develop and deploy core ML/AI algorithms to tackle data science challenges across the Kingfisher Group. You will support data science projects from start to production, developing quality code and carrying out automated builds … and deployments, working with colleagues in the Data Science team and stakeholders across the business. Responsibilities Develop high-quality machine learning models to solve business challenges Develop production-quality code and carry out basic automated builds and deployments Write comprehensive, well-written documentation Identify work and dependencies, tracking progress through a set of tasks Communicate clearly with colleagues … on multiple data science projects and manage deliverables What we offer Solid understanding of computer science fundamentals, data structures, algorithms, data modelling and software architecture Solid understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.), state-of-the-art areas (e.g. NLP, Transfer Learning) and modern Deep Learning algorithms (e.g. BERT, LSTM More ❯

the whole lifecycle of model development. That means you are someone who enjoys in equal measures the data wrangling to compose meaningful feature and clean sets, and modelling using Machine Learning. You'll develop and deploy machine learning models that power real-world decisions - from underwriting to fraud detection to optimise customer conversion. This is an end … end role: data wrangling, model development, evaluation, and performance monitoring. As a Data Scientist, you'll play a key role in the end-to-end lifecycle of their advanced machine learning models, working with structured and unstructured data to fuel predictive analytics. You'll be part of an agile, innovative team, developing cutting-edge solutions that are transforming … field Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills Ability to work in a fast-paced, dynamic environment Eagerness to make an More ❯