1,951 to 1,975 of 2,680 Remote Machine Learning Jobs

Nice-to-Haves Experience with analytics, monitoring or observability tooling Background in automotive, marketplaces, or high-SKU B2B platforms Exposure to AI/ML-powered products or startups Prior experience leading UI best practices or mentoring engineers This Role Is NOT For You If You prefer remote work — this role ...

commercial teams as the technical lead for high-value AI infrastructure opportunities. Engage directly with customer CTOs, Chief AI Officers, infrastructure leads, and ML engineers to evaluate technical requirements, compute sizing, and fabric choices. Lead deep-dive architectural workshops and technical presentations on Civo's bare-metal GPU and managed ...

building, and delivering software or AI systems in enterprise environments, including taking systems from prototype to production. Relevant backgrounds may include applied AI or ML engineering, forward-deployed engineering, software engineering, developer tooling, customer engineering, solutions architecture, or technical consulting.- Can point to substantial personal contributions in code, architecture, evaluation ...

Kingfisher plc is seeking a senior data science leader to drive AI initiatives across its brands. You will lead a team of Machine Learning Engineers, shape data platforms, and partner with tech, product and data teams to apply data science throughout products and processes. You will champion ...

Partner Enablement group is seeking an experienced Applications Engineer to support Computer Vision and Machine Learning software solutions deployed by OEMs, ODMs and ecosystem partners on Arm-based systems. You will work with engineering teams … enable adoption, provide training, documentation and hands-on support throughout partner development journeys. Based in Cambridge with hybrid working, you will collaborate across hardware, ML and applications teams, mentor engineers, and #J-18808-Ljbffr ...

Insurtech in London offering a fully remote pricing/data science opportunity. The role focuses on combining traditional Emblem GLM models with Python-based machine learning within an in-house pricing system. We seek a proactive professional with 3–8 years of personal lines insurance experience, strong pricing ...

backend engineer in Cambridge to build product infrastructure for AI solutions. The role entails developing low-latency APIs, maintaining data integrity, and supporting machine learning systems. Team members will work closely with research and product teams to design efficient and reliable systems. This position offers a salary between ...

standardsand in achieving successful clientoutcomes. We are open, honestand communicate in a jargonfree, collaborative way, with all ourteams being agile and curious, andcontinuously learning to achieveour purpose. We believe that ifwe achieve our purpose theneverything else will follow. Clever with data... combining data,insight, and action to drive value … delivery of client analytics and modelling work,with fewer platform-related blockers Continued improvement of Sagacity’s Product Suite through arobust, scalable data and ML platform Ability to take accountability and ownership for client and internal Work as part of the Data & Analytics team, providing knowledgetransfer, peer reviews and mentoring ...

your expertise in AWS analytics and data integration services to design, develop, and implement modern data architectures and pipelines that fuel analytics, AI/ML, and data-driven operations.* Design and build high-performance data integration solutions: Use AWS Glue, AWS Step Functions, Amazon EventBridge, and AWS Database Migration Service … governance practices using Amazon S3 (data lake), AWS Lake Formation, Amazon Redshift, and Amazon Athena to ensure trusted data.* Ability to design AI/ML-enabled solutions: Enable feature-ready, governed datasets for data science and integrate with Amazon SageMaker (and related AWS AI services) to operationalise models and drive ...

Senior ML Ops Engineer Department: Platform Delivery Employment Type: Permanent - Full Time Location: London Description In this role you will work in the Platform team – a function for the deployment and evolution of the backend platform that underpins the core of the Xantura business. Key Responsibilities Continuously evolve the platform … services (predictive modelling, NLP, knowledge representation, and agentic AI), ensuring reliable, scalable operation across a growing base of local authority clients. Deploy and manage ML models via Azure ML endpoints, batch endpoints, and AKS, enabling resilient, secure model hosting that accelerates client onboarding and ensures models remain performant and monitorable ...

multi-node GPU training environments and collaborating with experts in a vibrant culture. The ideal candidate will be proficient in Kubernetes and experienced in machine learning frameworks. The firm offers competitive equity, a remote-first setup with some in-person presence in London, and full visa sponsorship ...

experiences worldwide. Задачи: Design and implement agentic systems using RAG, grounding, prompt engineering, and orchestration on a GCP-first stack; Build and maintain production ML pipelines and services for recommender systems, customer segmentation, marketing optimisation, and other non-GenAI use cases; Develop secure, scalable, and observable APIs and microservices …/ML solutions; Implement CI/CD for ML services and infrastructure as code; Monitor model and data drift and performance; Establish guardrails for safe AI usage, including prompt security, evaluation frameworks, and privacy compliance; Contribute reusable components, documentation, and engineering best practices; Collaborate with data engineers, data scientists, front ...

work includes: Technology procurement and implementation projects, including cloud services, SaaS, software licensing, support and maintenance arrangements. Major outsourcing and managed services transactions. AI, machine learning and other emerging technology projects. Commercialisation, development and licensing of technology products and services. Fintech, digital innovation and technology-enabled business models. … title, qualification, or background. You’ll be encouraged to have an enquiring mind and share ideas that can drive the firm forward. Through innovative learning and development opportunities, you will be provided with a platform to excel, enabling you to exceed your career ambitions and do things you never ...

database layersExperience building concurrent, distributed applications at scaleExperience working with DevOps or SRE teams to support production environmentsStrong communication and collaboration skillsA passion for learning, continuous improvement and delivering high-quality softwareAnd it would be great if you had any of the following...Experience with PHPExperience with Kafka, RabbitMQ … latency transaction-based systemsKnowledge of AWS, Docker and CI/CD practicesExperience with PostgreSQL, MongoDB or BigQueryExposure to data platforms, ETL processes or machine learning-enabled productsExperience mentoring, coaching or supporting the development of other engineersPrevious experience within fintech, payments or a fast-paced startup environmentThis ...

database layersExperience building concurrent, distributed applications at scaleExperience working with DevOps or SRE teams to support production environmentsStrong communication and collaboration skillsA passion for learning, continuous improvement and delivering high-quality softwareAnd it would be great if you had any of the following...Experience with PHPExperience with Kafka, RabbitMQ … latency transaction-based systemsKnowledge of AWS, Docker and CI/CD practicesExperience with PostgreSQL, MongoDB or BigQueryExposure to data platforms, ETL processes or machine learning-enabled productsExperience mentoring, coaching or supporting the development of other engineersPrevious experience within fintech, payments or a fast-paced startup environmentThis ...

concurrent, distributed applications at scale Experience working with DevOps or SRE teams to support production environments Strong communication and collaboration skills A passion for learning, continuous improvement and delivering high-quality software And it would be great if you had any of the following Experience with PHP Experience with … based systems Knowledge of AWS, Docker and CI/CD practices Experience with PostgreSQL, MongoDB or BigQuery Exposure to data platforms, ETL processes or machine learning-enabled products Experience mentoring, coaching or supporting the development of other engineers Previous experience within fintech, payments or a fast-paced startup ...

translate high-level AI intentions into smooth, efficient, safe, and responsive actions across a variety of robotic embodiments. You will collaborate closely with ML researchers developing multimodal world models and generative systems, and with hardware teams and partners to ensure robotic platforms, sensing, and system dynamics behave optimally in real … Ensure sensing and system dynamics perform reliably in high-stakes, real-world operations, where models think, simulate, and act. Push Boundaries: Partner with top ML researchers to innovate on generative models and physical AGI. Areas of Interest We are particularly excited about candidates working on topics such as: World models ...

tools such as Git.Proficiency in scripting such as Python or Perl to automate workflows and diagnostics.Experience with software testing of embedded devicesPractical knowledge of machine learning and neural networks.Understanding of efficiency tuning techniques and performance analysis for large-scale emulation systems.If skilled worker sponsorship is required, Arm will ...

Git. Proficiency in scripting such as Python or Perl to automate workflows and diagnostics. Experience with software testing of embedded devices Practical knowledge of machine learning and neural networks. Understanding of efficiency tuning techniques and performance analysis for large-scale emulation systems. If skilled worker sponsorship is required ...

Git. Proficiency in scripting such as Python or Perl to automate workflows and diagnostics. Experience with software testing of embedded devices Practical knowledge of machine learning and neural networks. Understanding of efficiency tuning techniques and performance analysis for large-scale emulation systems. If skilled worker sponsorship is required ...

works a double-shift: First is what we work on: We help our clients solve product challenges that take advantage of AI or Machine Learning in one way or another. These are the AI Products we work on. Second is how we work: We continuously iterate … being encouraged to play in both of these areas. Beyond the work with clients at the forefront of tech developments, you’ll benefit from Learning and development budget Work directly with industry veterans Hybrid working: 2 days per week in London’s flagship WeWork in Waterloo Interview Process ...

Thomson Reuters Labs is seeking a Lead Research Scientist Manager to guide a global team focused on foundational machine learning research and training data curation. You will lead planning, mentoring, and hands-on experimentation, collaborating with academic partners and engineers to translate findings into actionable outcomes. The role ...

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iwoca is seeking a Data Scientist to join the Credit Risk Modelling team in a hybrid role based in London or remote across the UK. You will own and advance probabilistic models that influence lending ...

Whitehall Resources is seeking a Data Engineer for a 15‐month contract in Cambridge with hybrid working (2–3 days onsite). You will implement scalable data processing systems, work with a data lakehouse, and ...