176 to 200 of 667 Remote Machine Learning Jobs

Dawn Ellmore Employment are working on exceptional opportunities for Part and Fully Qualified Patent Attorneys who have expertise in artificial intelligence (AI), computer implemented inventions, machine learning, telecommunications, software or a related area, to join a growing team in London. You will be networking with some of the most pioneering inventors and highly recognised companies and intensifying your More ❯

Product Designer | B2B Saas | Artificial Intelligence | Travel 🚀✈️ Role: Product Designer Location: Fully Remote across Europe Salary: up to £65,000 🚀 Scaling B2B SaaS 🤖 AI & Machine Learning Technologies ✈️ Travel & Hospitality Industry We are partnered with an exciting B2B SaaS company who are on a mission to revolutionise the travel and hospitality space. Their innovative decision-intelligence platform utilises AI … Machine Learning to provide their clients, such as Booking.com and Expedia, with game changing insights. ✈️✨ Following a successful series of feature launches earlier this year, they’re shifting into a growth and scale phase - focusing heavily on onboarding, automation, and long-term user engagement. They’re now hiring a Product Designer to help lead the next stage of More ❯

ability to mentor team members, manage technical projects, and influence technical decisions across cross-functional teams Desirable - The following would be great additions but are not required: AI/ML Expertise : Advanced machine learning knowledge, AI engineering practices, and experience with ML frameworks in production environments Advanced Architecture & DevOps : Deep understanding of event-driven architecture, advanced microservices patterns … and collaborative mindset (we appreciate authenticity!) What We Offer: We offer the opportunity to lead technical initiatives affecting millions of users globally while working with cutting-edge AI/ML technologies and contributing to research initiatives. You'll have clear advancement paths toward technical leadership with strategic influence on product direction. We provide remote work options and maintain a culture More ❯

business objectives into a strategic technical vision. Knowledge Deep understanding of machine learning algorithms, techniques, and best practices within healthcare. This includes familiarity with a range of ML approaches (supervised/unsupervised learning, deep learning, etc.) and their applications in healthcare. Maintains knowledge of technology trends through pro-active horizon scanning, and understands how to assess More ❯

business objectives into a strategic technical vision. Knowledge Deep understanding of machine learning algorithms, techniques, and best practices within healthcare. This includes familiarity with a range of ML approaches (supervised/unsupervised learning, deep learning, etc.) and their applications in healthcare. Maintains knowledge of technology trends through pro-active horizon scanning, and understands how to assess More ❯

Role: ML & Cloud Infrastructure Engineer Salary: £140,000 - £160,000 + Equity Location: London - Hybrid (3-5 days a week) Our client is pioneering a frontier 3D foundation model at the intersection of AI, computer vision, and spatial computing. Their mission is to transform how industries from robotics and AR/VR to gaming and film create and interact with … 3D content. They are seeking an ML & Cloud Infrastructure Engineer to design and maintain the scalable infrastructure that powers cutting-edge machine learning workloads and production systems. This is a chance to work at the forefront of AI innovation in 3D technology, with huge scope to shape the platform and practices in a fast-moving startup environment. The … role will involve: Building and maintaining scalable cloud infrastructure (AWS, GCP, Azure) for ML workloads and APIs Setting up ML nodes for distributed training and local development Managing containerised environments (Docker, Kubernetes, Terraform) Optimising storage for big data pipelines supporting ML workloads Monitoring systems and responding to incidents, ensuring reliability and performance Working closely with ML engineers and researchers to More ❯

Previous experience in Investment Banking environment would be a plus Spanish would be a plus Mandatory Skills : Python, ServiceNow Orchestrator, Azure Cognitive Services, GenAI - LLMOps, RPA - Microsoft Power Automate, Machine Learning - AIOPS, Deep Learning - AIOPS, Reinforcement Learning - AIOPS Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due More ❯

Previous experience in Investment Banking environment would be a plus Spanish would be a plus Mandatory Skills : Python, ServiceNow Orchestrator, Azure Cognitive Services, GenAI - LLMOps, RPA - Microsoft Power Automate, Machine Learning - AIOPS, Deep Learning - AIOPS, Reinforcement Learning - AIOPS Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due More ❯

Scripting: Python, Java, SQL, R * Databases & Analytics: Snowflake, PostgreSQL, MongoDB, DataStax/Astra DB, Data modeling, ETL * Cloud & DevOps: AWS (S3, SageMaker), * Tools & Frameworks: Git, Jira, Confluence, PyCharm, Notebooks * Machine Learning and Deep Learning: Pandas, NumPy, Scikit-Learn, OpenCV, PyTorch, Tensorflow, OpenCV * GenAI/LLMs: Hands-on experience with generative AI tools and frameworks Geospatial Tools: Experience More ❯

Job Title: Contract Deep Learning Engineer Location: London (Hybrid or On-site) Contract Type: 6–12 months (with potential extension) About the Role: We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world … computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments, evaluate model performance, and iterate based on results. Maintain … to knowledge sharing across the team. Stay up-to-date with the latest research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience More ❯

Job Title: Contract Deep Learning Engineer Location: London (Hybrid or On-site) Contract Type: 6–12 months (with potential extension) About the Role: We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world … computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments, evaluate model performance, and iterate based on results. Maintain … to knowledge sharing across the team. Stay up-to-date with the latest research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience More ❯

Job Title: Contract Deep Learning Engineer Location: London (Hybrid or On-site) Contract Type: 6–12 months (with potential extension) About the Role: We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world … computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments, evaluate model performance, and iterate based on results. Maintain … to knowledge sharing across the team. Stay up-to-date with the latest research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience More ❯

Job Title: Contract Deep Learning Engineer Location: London (Hybrid or On-site) Contract Type: 6–12 months (with potential extension) About the Role: We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world … computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments, evaluate model performance, and iterate based on results. Maintain … to knowledge sharing across the team. Stay up-to-date with the latest research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience More ❯

Job Title: Contract Deep Learning Engineer Location: London (Hybrid or On-site) Contract Type: 6–12 months (with potential extension) About the Role: We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world … computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies. Optimize model performance and scalability for production environments. Conduct experiments, evaluate model performance, and iterate based on results. Maintain … to knowledge sharing across the team. Stay up-to-date with the latest research and techniques in deep learning. Required Skills & Experience: Proven experience in developing and deploying deep learning models in production. Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras). Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.). Experience More ❯

AI/Machine Learning Engineer Remote – UK Up to £130,000 About the Role Our client, a leader in blockchain analytics, is seeking a Senior AI/ML Engineer to help develop cutting-edge models that analyse vast amounts of blockchain data. This role is central to building innovative AI-powered solutions that uncover patterns, generate insights, and … empower investors in the rapidly evolving crypto space. Key Responsibilities Lead the design, implementation, and optimisation of AI/ML models for blockchain data analysis. Collaborate with product and engineering teams to integrate AI/ML solutions into the core platform, enhancing capabilities and user experience. Stay ahead of the curve on emerging AI, ML, and blockchain technologies, applying them … to complex, real-world problems. Mentor junior engineers and champion best practices across the AI/ML function. Align AI/ML initiatives with business objectives and customer needs through close cross-functional collaboration. Deploying scalable AI/ML systems capable of processing large, complex data sets. Leveraging modern AI models, APIs, and SDKs (e.g., OpenAI, LLMs). Enhancing the More ❯

ability to communicate to business users. Your role As a Lead GenAI System Architect, you will solve our clients' most challenging business problems by applying Generative AI and other ML techniques to design, deliver and operate robust and cutting-edge solutions. In this role, you may be expected to: Engage directly with senior client stakeholders and internal leadership teams to … preferred. Outstanding candidates with strong quantitative, computer science, or engineering backgrounds in a related field will also be considered. Extensive experience designing, developing, and deploying enterprise-grade AI/ML solutions, including experience managing technical teams and stakeholder relationships. Deep domain expertise in applying AI and Generative AI within a regulated or data-rich industry (e.g., financial services, healthcare, or … similar). Demonstrated track record of thought leadership in AI/ML, evidenced by patents, publications, or significant open-source contributions. Relevant industry certifications (AWS/Google/Azure/IBM ML Certifications) and deep understanding of technical courses (e.g., Andrew Ng's Coursera Courses, Andrei Karpathy's Tutorials) highly desirable. Technical Proficiency Demonstrated success leading the end-to-end More ❯

in a dynamic, multi-disciplinary environment. What You'll Do Lead the end-to-end delivery of data science solutions including PoCs, MVPs and production deployments Develop and prototype ML models to solve complex business challenges using modern techniques and tooling Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables Guide and coach data science … pods, supporting skill development and solution design Act as a subject matter expert on ML architecture, model calibration and productionisation What We're Looking For Hands-on experience building and deploying data science solutions in Python and related ML libraries Strong background in applied machine learning, model development and data engineering Experience with cloud environments (Azure, AWS, GCP … Financial services or banking experience Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy. We offer a More ❯

MCP) systems. Responsibilities: Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks Design and streamline data pipelines, train and validate ML models, and implement robust evaluation methods Collaborate with cross-functional teams to solve complex problems and integrate scalable, cloud-based AI solutions Rapidly prototype, test, and iterate on AI tools … with a strong focus on performance, flexibility, and scalability Maintain clear technical documentation, perform code reviews, and support the full software development lifecycle Software Engineering & AI/ML Data, Tools Development Proficiency in Python, with a background in back end services and data processing Exposure to AI/ML algorithms Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn) Understanding of … Basic UX/UI design sensibilities for internal tooling Experience with real-time data processing and analytics Background in building developer tools or internal platforms Familiarity with AI/ML operations (MLOps) practices (Experience using airflow) Experience building MCP servers and integrating with AI assistants Knowledge of structured data exchange protocols and API design for AI systems. Location: Austin, TX More ❯

for building REST APIs and model serving endpoints - Requests library for HTTP client operations and external API integration - Authentication/authorization implementation (JWT, OAuth) - Making excellent quality AI/ML software collaboratively with other engineers - Working effectively under technical leadership while contributing specialized AI/ML expertise - Design and implementation of AI/ML solutions using service-based and serverless … architecture - Using written, verbal, and visual communication to explain AI/ML concepts to both technical and non-technical audiences - Cloud monitoring, telemetry, intelligence tools for AI/ML systems, including Grafana - Experience working in Agile delivery models - Scrum and/or Kanban frameworks - Formal XP engineering techniques including TDD and pair programming - Working within defined infrastructure-as-code frameworks … and parameter efficient methods - Multi-modal AI systems combining text, image, and structured data - Reinforcement Learning from Human Feedback (RLHF) for model alignment - Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management - Model versioning and experiment tracking (MLflow, Weights & Biases) - Real-time model serving and edge deployment strategies - A/B testing frameworks for ML model More ❯

for building REST APIs and model serving endpoints - Requests library for HTTP client operations and external API integration - Authentication/authorization implementation (JWT, OAuth) - Making excellent quality AI/ML software collaboratively with other engineers - Working effectively under technical leadership while contributing specialized AI/ML expertise - Design and implementation of AI/ML solutions using service-based and serverless … architecture - Using written, verbal, and visual communication to explain AI/ML concepts to both technical and non-technical audiences - Cloud monitoring, telemetry, intelligence tools for AI/ML systems, including Grafana - Experience working in Agile delivery models - Scrum and/or Kanban frameworks - Formal XP engineering techniques including TDD and pair programming - Working within defined infrastructure-as-code frameworks … and parameter efficient methods - Multi-modal AI systems combining text, image, and structured data - Reinforcement Learning from Human Feedback (RLHF) for model alignment - Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management - Model versioning and experiment tracking (MLflow, Weights & Biases) - Real-time model serving and edge deployment strategies - A/B testing frameworks for ML model More ❯

for building REST APIs and model serving endpoints - Requests library for HTTP client operations and external API integration - Authentication/authorization implementation (JWT, OAuth) - Making excellent quality AI/ML software collaboratively with other engineers - Working effectively under technical leadership while contributing specialized AI/ML expertise - Design and implementation of AI/ML solutions using service-based and serverless … architecture - Using written, verbal, and visual communication to explain AI/ML concepts to both technical and non-technical audiences - Cloud monitoring, telemetry, intelligence tools for AI/ML systems, including Grafana - Experience working in Agile delivery models - Scrum and/or Kanban frameworks - Formal XP engineering techniques including TDD and pair programming - Working within defined infrastructure-as-code frameworks … and parameter efficient methods - Multi-modal AI systems combining text, image, and structured data - Reinforcement Learning from Human Feedback (RLHF) for model alignment - Apache Airflow/Dagster for ML workflow orchestration and ETL pipeline management - Model versioning and experiment tracking (MLflow, Weights & Biases) - Real-time model serving and edge deployment strategies - A/B testing frameworks for ML model More ❯

by enabling researchers to fully exploit advanced AI infrastructure. What we’re looking for Experience leading or mentoring technical specialists. Hands-on background in AI methods such as NLP, machine learning, deep learning, and statistical modelling (large language model experience a bonus). Proficiency in software engineering , with a strong grasp of algorithms and data structures. Excellent More ❯

AI powered platform development: Lovable, Replit, Bolt APIs & Microservices: RESTful APIs, GraphQL, microservice architectures Cloud & DevOps: AWS, Azure, or GCP; Docker; CI/CD pipelines Data Integration: Products integrating ML/AI models, databases, BI tools UI/UX Awareness: Collaborate on interfaces, data visualisation, user journeys Other: Version control (Git/GitHub), testing frameworks, security & optimisation Experience That Helps … track record of building client-facing products Proven experience in rapid prototyping, innovation labs, or product R&D teams Commercial experience with AI enabled products using GenAI (LLMs) or Machine Learning Familiarity with compliance, retail, FMCG, or operational intelligence systems (advantageous) Prior startup or SME experience where engineers own end-to-end delivery is highly valued Whats in More ❯

and APIs Optimize data pipelines and storage layers to ensure scalability, high availability, and consistent performance across multiple tenants Develop and optimize data models to support analytics, reporting, and machine learning with a focus on performance, scalability, and cost efficiency Platform Operations and DevOps Implement Infrastructure as Code using tools like Terraform and AWS CloudFormation to automate provisioning … USD-based compensation packages • A flexible, work-from-home setup as part of a globally connected team • AI-driven, innovation-focused projects • A culture that encourages curiosity and lifelong learning • Clear career paths and personal development opportunities Join us to build a global product from the ground up and redefine how businesses run with AI Apply for the role More ❯

want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there. You will work on: The Representation Learning team's charter is to enable embedding latent representations of entities across our platform. The unique challenges/opportunities that you would help tackle are embedding entities to understand … 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. Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges. Strong skills in SQL and … 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, RecSys,Large Language Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role can be on-site hybrid working or a remote More ❯