1,176 to 1,200 of 2,605 Remote Machine Learning Jobs

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 We're hiring two Senior Quality Engineers to set up a Quality Engineering department ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingWe're hiring two Senior Quality Engineers to set up a Quality Engineering department at Lendable ...

Engineer to lead data engineering activities for our Data Platforms and Services in London. You will ingest, cleanse and model data for BI reporting, ML and AI, ensuring quality and governance. The role emphasizes strong Azure skills (ADF, ADLS, Databricks), PySpark, Python and SQL, with a DevOps and CI/ ...

understanding of LLMs, RAG, embeddings, vector databases and orchestration Experience taking AI solutions from concept through to production Strong Python and modern AI/ML engineering knowledge Experience with major cloud platforms such as AWS, Azure or GCP Strong architecture and system-design capability Experience communicating complex technical concepts ...

fintech or lending environment Hands-on experience building credit scorecards or risk models (application, behavioural, or collections) Proficiency in Python and SQL; experience with ML frameworks (scikit-learn, XGBoost, etc.) Familiarity with Open Banking data, bureau data (Experian, Equifax, TransUnion), or alternative data sources Comfort working in small, fast-moving ...

teams.Awareness of Agile methodologies and ways of working.Knowledge of attacker TTPs, threat modelling, and cyber security frameworks.Understanding of statistics, data science, or AI/ML as applied to security.Awareness of ISO 27001 standards.Relevant cyber security certifications (e.g., MS-500, AZ-500, SC-200, SC-300, SC-400, Security+, GSOC, CCSK ...

current with emerging AI tools and frameworks, introducing improvements to team workflows. Required Skills & Experience Proven experience designing and deploying production-grade AI/ML or LLM systems . Expertise with AWS or Azure AI services (e.g., Bedrock, SageMaker, OpenAI, Cognitive Services). Strong Python programming skills with hands ...

Data experience: Deep knowledge and experience in areas such as Data Strategy, Data Platform, Data Engineering (ETL, Data Warehouse), Traditional Data Science (AI/ML), Data Governance and Cloud Technologies (Azure, GCP or AWS). Nice to have experience would include Experience of Databricks : Experience in designing and building Databricks ...

Experience navigating compliance frameworks relevant to European financial services and insurance (DORA, NIS2, SOC 2, PCI-DSS, and national regulators' guidance on AI/ML such as FCA/PRA, BaFin, ACPR, FINMA). A track record of leading complex, high‐stakes engagements with CISOs, security teams, and compliance officers ...

appropriate use casesExperience working with cloud platforms, APIs and modern application architectures. Experience of AI platforms operating at enterprise scale.Familiarity with data engineering, ML Ops or model lifecycle management practices.Experience with Microsoft AI Platforms and supporting technologies, including Azure AI Foundry, Microsoft copilot ecosystems.Familiarity with Oracle AI ecosystem.Strong stakeholder management ...

appropriate use casesExperience working with cloud platforms, APIs and modern application architectures. Experience of AI platforms operating at enterprise scale.Familiarity with data engineering, ML Ops or model lifecycle management practices.Experience with Microsoft AI Platforms and supporting technologies, including Azure AI Foundry, Microsoft copilot ecosystems.Familiarity with Oracle AI ecosystem.Strong stakeholder management ...

management information, and performance reporting using platforms such as Power BI, Microsoft Fabric, Databricks, and Snowflake.AI & Advanced Data Capabilities – Understanding of emerging Artificial Intelligence & ML Ops platforms. Experience designing architectures that enable trusted, governed, and scalable AI adoption, underpinned by strong data foundations using platforms such as Azure AI Foundry ...

technologies, including AWS, Azure, GCP, Docker and Kubernetes. Expertise in API and performance testing, with experience implementing AI-driven testing and integrating AI/ML into QA practices. Leadership experience, including guiding teams to deliver testing solutions, collaborating across multiple teams or territories, and using monitoring and troubleshooting tools ...

real threats and higher‐value projects. We are venture‐backed, and our team has a rare blend of deep experience across cybersecurity, AI/ML, and SaaS product development. Join us if you want to be on the ground floor of using Gen AI to transform cyber defense. Learn more ...

information, and performance reporting using platforms such as Power BI, Microsoft Fabric, Databricks, and Snowflake. AI & Advanced Data Capabilities – Understanding of emerging Artificial Intelligence & ML Ops platforms. Experience designing architectures that enable trusted, governed, and scalable AI adoption, underpinned by strong data foundations using platforms such as Azure AI Foundry ...

Principal level or equivalent scope) Go Expertise: Strong proficiency in Go (this is absolutely required) - Docker’s primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development patterns System Architecture: Proven ability to design scalable, distributed systems in production environments Container ...

patterns underpinning insurance modernisation (e.g. Azure, AWS, GCP; core insurance/data platforms; API-led integration).Strong grasp of data, analytics, and AI/ML, including AI-enabled and agentic operating models, and how governed AI adoption drives outcomes.Enough hands-on depth to interrogate solution designs, delivery plans, and estimates ...

underpinning insurance modernisation (e.g. Azure, AWS, GCP; core insurance/data platforms; API-led integration). Strong grasp of data, analytics, and AI/ML, including AI-enabled and agentic operating models, and how governed AI adoption drives outcomes. Enough hands-on depth to interrogate solution designs, delivery plans ...

grade solutions that unite strategy, data, and technology and foster a culture of excellence and innovation. Translate major technologies transforming life sciences—AI/ML, digital health, RWE platforms, data interoperability, next‐gen commercial architectures—into meaningful strategic implications for clients. Client Partnership, Trust & Growth Act as a trusted strategic ...

account manager, solutions architect, sales engineer, or technical consultant. Preferred experience working with SQL, Python, React, and web development frameworks. Familiarity with AI/ML tools is a strong plus. Passion for AI technology and a strong desire to apply it to real-world customer challenges. Ability to proactively identify ...

synchronization issues.Develop and maintain low-level graphics APIs and layout systems that serve as the backbone for Roku’s application ecosystem.Integrate AI/ML capabilities at the systems level, leveraging generative AI tools to optimize code generation and automate performance profiling.Collaborate with firmware and driver teams to leverage hardware-specific ...

issues. Develop and maintain low-level graphics APIs and layout systems that serve as the backbone for Roku’s application ecosystem. Integrate AI/ML capabilities at the systems level, leveraging generative AI tools to optimize code generation and automate performance profiling. Collaborate with firmware and driver teams to leverage ...

information beyond human vision. Certified for both open and minimally invasive surgery, our platform achievedUKCA certificationandFDA clearancein 2025 under a newly established AI/ML productcode, andwas admitted into the FDA’s Safer Technology Program. With multi-centre clinical evaluations underway and strategic partnershipswith world-leading technology and surgical manufactures ...