276 to 300 of 541 Remote/Hybrid Machine Learning Jobs

obtain one within the first 3 months): AWS Professional Certification (DevOps, Architect Pro, or Generative AI) OR AWS Specialty (Advanced Networking, Security, or Machine Learning). Adaptability, proactivity, strong communication skills, and a passion for learning new technologies. Startup or consulting experience is a plus. BENEFITS ...

skilled Data Engineer to design, build, and optimize enterprise-scale data pipelines and cloud platforms. You will translate business and AI/ML requirements into robust, scalable solutions while collaborating across multi-disciplinary teams and external vendors. As a key member of the data architecture you will: Build and orchestrate … with cloud platforms (Snowflake, AWS fundamentals). Solid understanding of data architecture, warehousing, and modeling. Programming expertise: Python, Spark, SQL, API integration. Knowledge of ML/AI frameworks, MLOps, and advanced analytics concepts. Experience with CI/CD, data testing frameworks, and versioning strategies. Ability to work effectively in multi ...

About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver … native or enterprise software. A working knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability ...

About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver … native or enterprise software. A working knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability ...

About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver … native or enterprise software. A working knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability ...

About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver … native or enterprise software. A working knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability ...

About Mirantis Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver … native or enterprise software. A working knowledge of: Cloud infrastructure, including Kubernetes, OpenStack, Docker, microservices, and public cloud services (AWS, GCP, Azure) AI/ML infrastructure tools (e.g., Kubeflow, MLflow, NVIDIA AI), and how they integrate with cloud-native platforms DevOps and automation tools, including CI/CD pipelines Observability ...

work on practical, production software that supports engineering teams day to day. While some solutions use data-driven or automation techniques (including AI/ML), the role is fundamentally about strong software engineering , sound judgement, and reliability. What You'll Be Doing Hands-on software engineering Design, build, test … Experience in engineering, industrial or regulated environments Exposure to cloud platforms (e.g. AWS) Experience with data-heavy systems, automation or analytics Some familiarity with machine learning or optimisation concepts (not essential) Why Join A 12-month contract with strong extension potential Competitive £54/hr umbrella rate (inside ...

independently manage substantial technical projects Desirable Skills Experience with Vue3, TypeScript, Django, or full-stack development Familiarity with AWS EKS deployments Exposure to machine-learning or agentic-AI pipeline development Understanding of FEA, CFD, aerothermal design, or turbomachinery principles This position is only open to NATO passport holders ...

Desirable Skills Background in healthcare, diagnostics, or LIMS software. Understanding of HL7, FHIR, or other clinical messaging protocols. Experience with medical imaging workflows or machine learning applications. About Us Uralensis Innov8 Ltd is a UK-based health-tech company supporting NHS and private providers. We develop innovative digital ...

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 ...

systems that support LLM-based workflows, high-throughput data pipelines, and enterprise-grade reliability. This role requires strong backend fundamentals, hands-on AI/ML integration experience, and comfort operating in ambiguity. Key Responsibilities: Design, build, and maintain scalable backend services in a production environment Develop APIs from the ground ...

Stack: Strong Python , SQL , and Java . AI Specialist: Hands-on experience with LLMs and prompt engineering. Academic: MSc/PhD in AI/ML (Safety or Agentic systems focus preferred). This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. ...

continuously improve CI/CD ways of working across multiple software languages and environments Collaborate with multi‐disciplinary teams including Ground Truth, Measurement Techniques, Machine Learning, Data Analytics and Hardware‐in‐the‐Loop to create integrated solutions across the product validation ecosystem Produce and deliver technical documentation, user … week paternity leave policy. Other parental leave policies are available A competitive pension A JLR company performance-related bonus An employee learning scheme providing funding for; education, training and other activities which support the development of personal skills and promote lifelong learning Access to open, employee-led support ...

demonstrate project experience working on software development for hardware (ideally sensors or control systems). Extensive experience in software engineering using Python. Experience with Machine Learning and algorithms would be a bonus. Any exposure to TensorFlow or PyTorch would be desirable. Aptitude to pick up new technologies demonstrated ...

Their platform captures operational knowledge and turns it into production grade systems that AI can interact with safely and reliably. This is not applied machine learning, not foundation model development, and not experimental agent playgrounds. The work is focused on the engineering around AI: evaluation, control, reliability ...

Their platform captures operational knowledge and turns it into production grade systems that AI can interact with safely and reliably. This is not applied machine learning, not foundation model development, and not experimental agent playgrounds. The work is focused on the engineering around AI: evaluation, control, reliability ...

compete and win in a fast-moving market. Main Responsibilities as a Senior Strategic Market Pricing Analyst: Develop and validate predictive models using advanced machine learning techniques. Explore and test new datasets, features and innovative modelling approaches to enhance pricing accuracy. Deliver experimental pricing strategies that contribute ...

understanding of geospatial technologies (e.g., ESRI, QGIS, FME, GeoServer). Experience with legacy GIS systems (Intergraph, Smallworld) and data migration. Familiarity with AI/ML applications in geospatial data quality and analytics. Agile delivery experience and ability to lead cross-functional teams. Desirable Skills/Knowledge/Experience Ensuring ...

week) or Remote Salary: £90,000 – £110,000 + 15% Bonus + Excellent Benefits To be considered Strong experience as an AI Engineer/ML Engineer/Software Engineer with applied AI exposure. Hands-on Python development experience delivering production-grade systems. Practical experience building agentic AI workflows (LangGraph/ ...

regulated technology landscapes and security frameworks. Familiarity with DevSecOps and compliance-driven delivery in cloud-native contexts. Interest or experience in AI/ML application in digital financial services. ...

deployment, and integration). Ensure AI solutions are scalable, secure, explainable, ethically designed, and integrated via APIs and iPaaS. Support responsible adoption of AI, ML, and generative AI. Experience & Skills Essential 8+ years in architecture roles (Enterprise or Lead Architect). Experience in complex, integration-heavy, data-driven environments. Strong ...

deployment, and integration). Ensure AI solutions are scalable, secure, explainable, ethically designed, and integrated via APIs and iPaaS. Support responsible adoption of AI, ML, and generative AI. Experience & Skills Essential 8+ years in architecture roles (Enterprise or Lead Architect). Experience in complex, integration-heavy, data-driven environments. Strong ...

industry experience Strong background in Python or similar languages Significant experience with backend development , microservices, and distributed systems Hands-on experience with AI/ML systems , including LLMs, RAG, or vector databases Solid understanding of containerisation and orchestration (Docker/Kubernetes) Experience delivering secure, on-premise or regulated systems Proven ...

Proven team leadership and mentoring skills ; managing 3-5 engineers Cloud deployment experience with Docker/Kubernetes Deep understanding of transformer architectures, AI/ML principles, and MLOps Experience developing REST APIs and Agentic AI frameworks (LangGraph, Crew AI) Desirable Experience in Insurtech or Fintech domains Knowledge of insurance workflows ...