101 to 125 of 669 Remote Machine Learning Jobs

decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. … of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning … deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience More ❯

decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. … of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning … deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience More ❯

decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. … of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning … deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience More ❯

decisions and solution governance. Write clean, efficient, and scalable code that adheres to software engineering principles, MLOps practices, and cloud-native development. AI Solution Delivery: Own the implementation of ML pipelines, APIs, and data integration workflows. Operational Excellence: Contribute to defining reusable development patterns, enforcing coding standards, and implementing MLOps best practices that support version control, performance optimisation, and maintainability. … of RESTful API design, authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning … deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. Proven experience More ❯

AI/ML/Data Science Strategy & Delivery Lead (SM/D) London, United Kingdom req2495 Posted on: 11/09/2025 - Application Deadline: - About Baringa: We set out to build the world's most trusted consulting firm - creating lasting impact for clients and pioneering a positive, people-first way of working. We work with everyone from FTSE … members. Typical engagements include: Developing tailored and innovative strategies for transformation and growth through AI, with the ability to then leading the end-to-end delivery of AI/ML projects, from discovery and design through to deployment and monitoring. Identifying AI use cases and building business cases for AI adoption Advising and upskilling clients on AI/ML operating … models, governance frameworks, and responsible AI/ML practices. Translating business requirements (both functional and non-functional) into solutions, ensuring compliance with the organisation's strategy, policies and standards and in some cases, help customers to define new policies, principles and standards Translating business objectives into AI/ML delivery plans, managing cross-functional teams to execute against them. Supporting More ❯

expanding Data and Decision Support Capability. The right candidate will join our Advanced Information Processing (AIP) group, specialising in developing novel inference algorithms and the application of AI/ML to sequential data and decision making. You will have the opportunity to deliver a wide range of AI/ML research topics for customers across space, defence, security and commercial … and to maintain strong links with academic partners and grow technical research areas of interest to you. The Data and Decision Support Capability has teams working across AI/ML areas such as RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, autonomy, image analysis and computer vision, generative AI, NLP, knowledge graphs and more. You will … novel concepts and research findings where appropriate. Essential Knowledge, Skills and Experience PhD or equivalent industry experience in a relevant discipline. Several years of expertise in applying AI/ML and/or statistical signal processing to sequential data and decision-making post PhD. Experience in software development for proof of concept in Python. Experience with machine and deep More ❯

Job Title: ML Ops/LLM Ops Engineer Location: Hybrid (potentially 1 day per week in east London) Contract: 6 month Contract Day Rate: £400 per day (Outside IR35) About the Role We are seeking an experienced ML Ops/LLM Ops Engineer to join a high-profile digital transformation initiative. This role focuses on operationalising advanced Machine Learning … Speech Recognition (ASR), and Text-to-Speech (TTS) solutions. You will work closely with developers, technical leads, product owners, and QA teams to design, deploy, and support production-grade ML services. This is a fast-moving environment where cutting-edge Generative AI technologies are constantly evolving, so adaptability and technical excellence are essential. Key Responsibilities Design and implement tooling and … technologies to support ML models and LLMs in production. Deploy, maintain, and optimise machine learning services within a cloud environment (AWS). Recommend and implement prompt management tools and provide expertise in prompt engineering. Introduce and manage observability, monitoring, and evaluation frameworks for ML and AI services. Enable auto-evaluation of prompts and models against domain-specific requirements. More ❯

and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp of the underlying theory behind the models and techniques you use. Bonus Points: Experience with modern LLM orchestration frameworks (e.g. … LlamaIndex, DSPy, LangGraph). Experience in agentic system design and tool calling (Adk, A2A, MCP, etc ) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning … from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building robust monitoring and observability for AI/ML systems in production. Why Prolific is a great place to work We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the More ❯

Spotify's Commerce Platform to build the next generation of our robust, high-performing, and resilient payments ecosystem. This is a unique opportunity to solve complex challenges, work with ML-powered systems, and contribute to the core of Spotify's revenue-generating systems. As part of Spotify's Commerce Platform, we in the Pay-In domain own the critical backend … journey. You will join one of the sub-teams in the Pay-In domain, which develops and maintains the systems that integrate with payment providers, manage disputes, and leverage ML for fraud detection and prevention. The reliability of these systems is business-critical for Spotify. What You'll Do Architect, design, and implement highly scalable backend services (Java/Python … and robust data pipelines that power Spotify's internal Commerce platform. Develop and enhance our ML-powered systems taking solutions from concept to production. Take the lead on API design, platform development, and ensuring the scalability, reliability, and performance of our services. Collaborate with a talented, cross-functional team of engineers, product managers, and data scientists to deliver impactful solutions. More ❯

Data Scientist, you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … adherence to data privacy regulations. Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Proven experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages More ❯

Data Scientist, you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … adherence to data privacy regulations. Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Proven experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages More ❯

Data Scientist, you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … adherence to data privacy regulations. Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Proven experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages More ❯

Data Scientist, you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … adherence to data privacy regulations. Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Proven experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages More ❯

Senior Machine Learning Scientist (Recommender Systems) - Viator London, England, United Kingdom About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything from simple tours to extreme adventures (and all the niche, interesting stuffin between)-making memories that … innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Previous experience of working on industrial grade recommendation systems and ideally familiarity with offline evaluation techniques. Awareness of current ML techniques, keen … the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, Large Language Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role can be on-site hybrid or a remote position in More ❯

improve customer engagement. As a Principal AI Engineer, you will be part of the Technology Engineering team within CIO, leading the design, development, and deployment of advanced AI and machine learning solutions that drive innovation, efficiency, and strategic value across the organisation. You will collaborate closely with cross-functional teams, including Data Science, Engineering, Product, and Business stakeholders … exploration to model development, deployment, and monitoring - ensuring solutions are scalable, ethical, and aligned with enterprise goals. Skills we would love you to have: Extensive experience in AI/ML engineering, data science, or applied machine learning roles. Proven track record of delivering production-grade AI solutions in complex, data-rich environments. Proficiency in Python and key ML … code tools. Strong knowledge of data engineering principles, including data wrangling, feature engineering, and pipeline orchestration. Experience with version control (e.g.Git), CI/CD pipelines, and automated testing for ML code. What we offer Join us and you'll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues More ❯

the world's biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we're helping usher in the promise of AI. Innodata offers a powerful combination of … the perceived quality and/or appropriateness of content Content Understanding: Generating labels to advance understanding of a concept, trend etc. Data Augmentation: Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed More ❯

conversational AI and virtual agent capabilities, contributing to organizational growth through creative technical solutions. Architect and develop: maintain, enhance, and evolve our Virtual Agents engine, applying advanced AI/ML concepts to solve extremely complex problems in natural language understanding and generation. Drive technical vision: shape and deliver our roadmap toward Agentic AI, translating cutting-edge research into practical and … this is not a hard requirement as we recognise there are many diverse paths into software careers. 7+ years of software engineering experience with demonstrated expertise in AI/ML systems (advanced degrees may reduce requirement by 2 4 years). Deep expertise in conversational AI, NLP, and dialogue systems with a proven track record of delivering production systems. Strong … governance and responsible AI practices. Interest in emerging areas, such as tool-using AI agents and autonomous decision-making systems. Experience with cloud platforms (particularly AWS) and AI/ML technologies. Experience with vector databases and retrieval-augmented generation (RAG). Contributions to open-source AI projects, research publications, or patents in AI/ML. Benefits: Flexible work schedules and More ❯

growth and development of our AI & Data practice, sharing your knowledge and insights to drive continuous improvement. You will be instrumental in driving the adoption of advanced AI/ML services, helping organisations achieve their innovation and transformation goals through sophisticated AI architectures. If you're a passionate technologist with a deep understanding of AI and a desire to shape … we take, guiding us to deliver impact how and where it mattersmost . Connect to your opportunity Key Responsibilities: Solution Architecture: Define and design end-to-end AI/ML/LLM solution architectures, encompassing data ingestion, processing, model training, deployment, and monitoring. Technical Leadership: Provide technical guidance and mentorship to AI project teams, ensuring the adoption of best practices … innovation and drive the development of cutting-edge AI solutions. Connect to your skills and professional experience Technical Proficiency: Extensive experience designing and architecting complex, production-ready AI/ML solutions in financial services; specific project examples required. Proficiency in designing and implementing scalable, secure AI solutions, including data pipelines, model deployment, API integration, and MLOps best practices such as More ❯

produce world-class software. Responsibilities: Collaborative Design & Implementation: You will collaboratively design, implement, and test AI enabled software systems. This role involves leveraging cutting-edge technologies, including GenAI and machine learning models. Modular Systems Development: Develop modular systems within a distributed architecture, such as with RESTful containerized microservices. Performance Optimization: Review and analyze software runtime performance, making algorithmic … small, remote team environment is preferred. Government Clearance: You must be a U.S. citizen and eligible for a S. government security clearance (Secret Clearance). Bonus Experience AI/ML: Exposure to AI and/or Machine Learning technologies is a plus. Specialized Knowledge: Experience with discrete event simulation, geospatial and/or temporal databases, and performing scientific More ❯

the main focus on developing and implementing Agentic AI evaluation techniques, using strategies such as LLM-as-judge. As an MLE, you will work within a multidisciplinary team of machine learning engineers and software engineers building the Agentic AI platform, and liaise closely with downstream teams using the platform to build agentic applications. These applications range from consumer … practices for GenAI evaluations across the business and working closely with downstream teams and product partners to align evaluation strategies with business needs. Requirements 5+ years' experience as an ML Engineer or Data Scientist 5+ years' experience writing production code in Python Experience using tools like Git, Docker, Kubernetes, CircleCI Experience productionising Generative AI workstreams or Agentic AI projects You … know the fundamentals of Generative AI and have a good understanding of the science behind it, including LLMs, VLMs, transformers and fine-tuning techniques. A robust understanding of traditional ML and evaluation techniques, and a good understanding of the research and developments around Generative AI evaluation techniques. You get satisfaction from seeing your work shipped and driving measurable impact to More ❯

building bespoke models for clients and leading expertise across all major industry categories, we are able to offer our talents more opportunities to grow and benefit from a richer learning experience. We call this Power of One. Powered by a 100,000-strong network via Marcel, our AI-based platform, we are also able to provide our clients and … a Senior Data Scientist to join our data team and help transform complex data into actionable insights that enable strategic decision-making. You'll work at the intersection of machine learning, analytics, and business strategy and the associated technical and non technical teams -helping to shape data-driven solutions and strategies that power our data products and production … in data science, model validation, documentation, and reproducibility Qualifications Experience Strong coding skills in Python, including libraries such as pandas, scikit-learn, TensorFlow, or PyTorch Expert in Python and ML frameworks (PyTorch, TensorFlow, Sklearn), with experience across NLP, computer vision, and LLMs Strong statistical and experimental design background, including A/B testing and causal inference Experience working with SQL More ❯

data into valuable insights, supporting smarter, evidence-based decisions across the business. This is a fantastic opportunity for a recent graduate who’s passionate about data, problem-solving, and learning from experienced professionals in a collaborative environment. In this role, you’ll: 📊 Analyse datasets to uncover patterns, trends, and actionable insights 🧠 Apply statistical and machine learning techniques … Looking For: A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field Familiarity with Python, R, or another programming language for data analysis Basic knowledge of machine learning concepts and statistical methods Strong analytical and problem-solving skills Good communication skills, with the ability to explain technical findings in simple terms Nice to Have: Experience More ❯

data into valuable insights, supporting smarter, evidence-based decisions across the business. This is a fantastic opportunity for a recent graduate who’s passionate about data, problem-solving, and learning from experienced professionals in a collaborative environment. In this role, you’ll: 📊 Analyse datasets to uncover patterns, trends, and actionable insights 🧠 Apply statistical and machine learning techniques … Looking For: A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field Familiarity with Python, R, or another programming language for data analysis Basic knowledge of machine learning concepts and statistical methods Strong analytical and problem-solving skills Good communication skills, with the ability to explain technical findings in simple terms Nice to Have: Experience More ❯

data into valuable insights, supporting smarter, evidence-based decisions across the business. This is a fantastic opportunity for a recent graduate who’s passionate about data, problem-solving, and learning from experienced professionals in a collaborative environment. In this role, you’ll: 📊 Analyse datasets to uncover patterns, trends, and actionable insights 🧠 Apply statistical and machine learning techniques … Looking For: A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field Familiarity with Python, R, or another programming language for data analysis Basic knowledge of machine learning concepts and statistical methods Strong analytical and problem-solving skills Good communication skills, with the ability to explain technical findings in simple terms Nice to Have: Experience More ❯

data into valuable insights, supporting smarter, evidence-based decisions across the business. This is a fantastic opportunity for a recent graduate who’s passionate about data, problem-solving, and learning from experienced professionals in a collaborative environment. In this role, you’ll: 📊 Analyse datasets to uncover patterns, trends, and actionable insights 🧠 Apply statistical and machine learning techniques … Looking For: A degree in Data Science, Computer Science, Mathematics, Statistics, or a related field Familiarity with Python, R, or another programming language for data analysis Basic knowledge of machine learning concepts and statistical methods Strong analytical and problem-solving skills Good communication skills, with the ability to explain technical findings in simple terms Nice to Have: Experience More ❯