326 to 350 of 501 Remote/Hybrid Machine Learning Jobs

analytics best practices Excellent communication skills and ability to work across time zones Nice to Have Experience with modern data platforms, AI/ML analytics, or cloud-native services Background in offshore or multi-vendor delivery environments Agile or hybrid delivery model experience The Details Rate: £370/day IR35 ...

Administration experience Familiarity with IT Quality Management frameworks, security protocols, and compliance standards relevant to financial services. Knowledge of emerging technologies (e.g., AI/ML, data analytics) and their application in financial products. Evaluating and recommending new technologies, frameworks, or tools to enhance product capabilities. Experience mentoring or coaching technical ...

emerging technologies and assess their potential impact. Ensure Compliance: Uphold data privacy, security, and ethical AI practices. Experience needed: Proven experience in AI/ML strategy and implementation within a commercial setting. Strong leadership and team management skills. Hands-on expertise with AI frameworks (TensorFlow, PyTorch) and programming languages (Python ...

data frameworks (DAMA-DMBOK, NIST AI RMF, ISO 23894, ISO 27001, GDPR/DPA 2018); hands-on with platforms such as Microsoft Purview, Azure ML, Databricks, Power BI, Collibra, or Alation; exposure to MLOps practices. ...

Event-Driven) and frameworks (TOGAF, SABSA) Experience securing IaC pipelines, CI/CD integrations, and applying DevSecOps practices Awareness of emerging technologies (AI/ML, Quantum Computing) and their security implications are strong advantages Hold the right to work in the United Kingdom and happy with working 3 days ...

from you if: You have 2+ years of hands-on experience building production applications, with at least 1 year as an AI Engineer or ML Engineer shipping AI products and features. You're an expert when it comes to backend development using Python and you're proficient in modern ...

Experience driving SRE maturity (SLOs, error budgets, reliability reviews). Exposure to large-scale, regulated or high-availability environments. Interest in using AI/ML to improve operations, monitoring or incident response. Passion for teaching, mentoring and building engineering culture. Why join Work on large-scale, business-critical platforms with ...

accelerators, and reusable frameworks as the CoE scales What Were Looking For Minimum 3 years experience building and deploying Generative AI or applied ML systems Strong hands-on engineering background you actively code, build, test, and deploy Experience with: RAG architectures and vector databases Hugging Face models, pipelines, and inference ...

provide clear risk/quality narratives. Strong automation background and CI/CD integration experience. Experience across web, APIs, data platforms and AI/ML products. Excellent stakeholder management and crisp, risk-based communication. ISTQB Advanced (or equivalent) desirable; Agile delivery experience essential (SAFe preferred). Our Current Landscape: Jira ...

analytics, and data strategy Create a roadmap for moving from traditional BI to a modern, AI-augmented data ecosystem. Identify opportunities where AI, ML, and automation can drive measurable value. Act as a trusted advisor to senior leaders and departments regarding data, BI, and AI. Translate complex data … business language and use cases. Facilitate workshops, run discovery sessions, and guide teams on AI best practices. Build prototypes and production-level AI/ML solutions, such as predictive models, natural language interfaces, and automation workflows. Develop robust data models, pipelines, and integrations to ensure scalable AI adoption. Establish data ...

Level) who want to work with the latest in LLMs, co-pilots, agentic workflows, RAGs , and more, while also applying real data science, ML, and MLOps skills in live enterprise environments. What You’ll Do: Work directly with enterprise clients to design and deploy custom AI agents Tackle complex business … problems with intelligent, scalable solutions Blend cutting-edge AI (LLMs, RAGs, co-pilots) with traditional data science and ML Be part of a mission-driven team that’s pushing boundaries in autonomous AI What You’ll Need: A strong foundation in data science and machine learning Hands ...

best practices and integration patterns. Support the design and development of Open APIs aligned to TM Forum Open Digital Architecture. Apply AI and machine-learning capabilities on the Salesforce platform (e.g. leveraging tools such as Vibes/similar AI capabilities) and work with Data360-related data flows where … similar context. Hands-on experience integrating Salesforce with diverse systems and external applications, using various Force.com APIs and integration patterns. Experience with AI/ML on Salesforce and exposure to Data360. Familiarity with TM Forum Open Digital Architecture and Open API design/development. Comfortable working in Agile/Scrum ...

depending on experience. Experience and skills required for the Agentic AI Engineer, Agentic AI Developer, Python Fluency with modern ML toolchains (PyTorch/JAX, RL or behaviour-cloning libraries, agentic frameworks, MCP, distributed training workflows). Experience with AI agent ecosystems using frameworks such as LangChain, AutoGen, CrewAI, and Semantic … robots or simulated characters is a bonus Ability to write clean, efficient, and well-documented code in a collaborative environment. M.S. in Computer Science, Machine Learning, Robotics, or related field (or equivalent practical experience). Role for the Agentic AI Engineer, Agentic AI Developer, Python This ...

work from home. As an AI Engineer, you will contribute to designing, developing, and implementing AI-driven solutions. Daily tasks include building and optimizing machine learning models, applying natural language processing techniques, and enhancing pattern recognition systems. You will collaborate with cross-functional teams to identify challenges ...

owner or similar role Experience of JIRA and Confluence Strong understanding of product management practices? Understanding of Cloud Development, Data Modelling, PowerBI, AI and Machine Learning modelling Experience of SQL server, Azure and Microsoft Fabric Qualification: Preferably educated to graduate level with a bachelors degree in business, computer ...

user interface with information and suggestions that use react and JavaScript hence these are bonus skills. You will have the opportunity to learn machine learning, UI development alongside the generic embedded skills and you will get the opportunity to work on the latest tech. Responsibilities: Design, implement ...

Strong scripting abilities and API integration skills - Knowledge of data visualization and reporting best practices Desirable but not essential: - Experience with data mining and machine learning - Natural language processing expertise - Multi-cloud platform experience They work within an Agile environment with Scrum practices, cross-functional collaborative teams ...

looking for an experienced (senior) HPC Infrastructure Engineer to design, deploy, and maintain high-performance computing clusters, container platforms (Kubernetes/Docker Swarm), and machine-learning infrastructure. Working closely with Platform Engineering and Infrastructure teams, you will implement resilient infrastructure solutions, manage lifecycle activities, and provide 3rd line ...

with real-time communication protocols (EtherCAT, CAN, Modbus) or PLCs. Strong Mechatronics understanding Exposure to simulation and validation tools for robotic systems. Knowledge of Machine Learning principles for perception or control. Offices and Lab located in Oxford. Hybrid working c.3 days in office Salary ...

optimize performance. Maintain and evolve monitoring platforms, including synthetic and application monitoring, responding to alerts and identifying bottlenecks. Assist in deployment and maintenance of Machine Learning platforms and services. Support service transition, providing documentation, training, and handover for services post go live. What You'll Need Strong hands ...

delivery processes Partner with senior stakeholders to understand business needs and deliver impactful insights Oversee KPI dashboards, executive reporting, and ad-hoc analysis Support machine learning initiatives, including demand prediction models and user adoption Collaborate with engineering on the ongoing development of the data platform (AWS, Snowflake, Power ...

collaboratively, meeting delivery timelines and project milestones.- Commitment to creating reusable, scalable solutions for future projects across Probation.- Desirable: Familiarity with data science or machine learning integration in production systems. This role offers a unique chance to make a tangible impact on community safety and justice. ...

warehousing and data lakes . Proficiency in AWS cloud services (e.g., S3, Redshift, Glue, EMR, Lambda) for data storage, processing, and orchestration. Exposure to machine learning pipelines and integration with data engineering workflows. ...

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 ...

also bring: Experience with Symfony or Laravel Familiarity with frontend frameworks such as Vue.js and/or Angular. Background in automation projects (e.g., IoT, Machine Learning, AI). Experience scaling PHP/MySQL platforms to meet performance demands. Benefits: Competitive salary up to £60,000, with annual salary ...