1,351 to 1,375 of 2,680 Remote/Hybrid Machine Learning Jobs

support client relationships, and define delivery requirements that align with client needs and AECOM's digital offering Champion the understanding and adoption of AI, machine learning and data science techniques across project teams and client engagements, identifying where these can drive efficiency, insight or innovation Identify automation ...

support client relationships, and define delivery requirements that align with client needs and AECOM's digital offering Champion the understanding and adoption of AI, machine learning and data science techniques across project teams and client engagements, identifying where these can drive efficiency, insight or innovation Identify automation ...

support client relationships, and define delivery requirements that align with client needs and AECOM's digital offering Champion the understanding and adoption of AI, machine learning and data science techniques across project teams and client engagements, identifying where these can drive efficiency, insight or innovation Identify automation ...

support client relationships, and define delivery requirements that align with client needs and AECOM's digital offering Champion the understanding and adoption of AI, machine learning and data science techniques across project teams and client engagements, identifying where these can drive efficiency, insight or innovation Identify automation ...

support client relationships, and define delivery requirements that align with client needs and AECOM's digital offering Champion the understanding and adoption of AI, machine learning and data science techniques across project teams and client engagements, identifying where these can drive efficiency, insight or innovation Identify automation ...

support client relationships, and define delivery requirements that align with client needs and AECOM's digital offering Champion the understanding and adoption of AI, machine learning and data science techniques across project teams and client engagements, identifying where these can drive efficiency, insight or innovation Identify automation ...

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 ...

support client relationships, and define delivery requirements that align with client needs and AECOM's digital offering Champion the understanding and adoption of AI, machine learning and data science techniques across project teams and client engagements, identifying where these can drive efficiency, insight or innovation Identify automation ...

role focuses on applying data and analytics to support decision-making across engineering projects and building data-driven solutions with Python, SQL and ML techniques. You will work across the lifecycle from understanding needs to delivering client-ready insights and tools, with scope for forecasting, modelling and AI-enabled solutions. ...

focuses on bridging AI experimentation and business adoption, delivering enterprise-grade AI solutions for major clients. You will design, build and scale AI/ML systems, leverage LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling, and work with Azure/AWS/GCP. #J-18808-Ljbffr ...

Senior AI Engineer (Senior/Principal Consultant) to join our Technology Delivery team. In this role, you’ll combine deep expertise in AI/ML engineering and software development to design, build, and deploy advanced generative AI and agentic systems for leading financial services clients. You’ll work hands ...

data pipelines • Conceptual, logical and physical data modelling • Cloud data architecture and integration with legacy platforms • Data governance, quality, security and compliance • AI/ML integration, intelligent automation and predictive data solutions • Data visualisation and translating complex insights into business outcomes • Architecture governance and technical leadership They're looking ...

skills, an interest in complex problems, a creative and inquisitive approach to problem solving and a passion for emerging technologies such as AI and Machine Learning. An understanding of service-oriented architectures would also be highly advantageous.Hybrid WorkingOne to two days per week will be required in London.The PackageThe ...

solving skills, combined with a proactive approach and knowledge of social engineering, phishing threats, and security best practices; relevant Microsoft certifications and AI/ML qualifications are advantageous. Benefits: Pension Life Insurance 25 days annual leave Car scheme Plus, more Next Steps: Due to the sensitive environments, where you will ...

leverage predictive analytics, and design AI-augmented workflows to modernise complex, high-value supply chains. Key Responsibilities AI and Digital Innovation: Champion AI/ML, RPA, and process mining across operational programs. Design workflows, oversee PoCs, and drive adoption of low-code tools (Power Platform). Business Analysis: Elicit requirements ...

independently Experience using, or willingness to adopt, tools such as GitHub Copilot, ChatGPT, Claude Code or Cursor This is not primarily an AI/ML engineering role . The focus is on using AI tools intelligently to improve engineering productivity while critically validating all generated outputs. Contract Details Rate ...

Strong understanding of modern data architectures, including Data Mesh, event-driven patterns, and API-based data products. Knowledge of emerging technologies like AI and Machine Learning. Strong grasp of commercial strategies, market trends, and governance frameworks. Ability to interpret complex datasets to inform decisions and derive actionable insights. Proven ...

operates at the forefront of high-performance computing (HPC) and cloud infrastructure, building and scaling mission-critical platforms that support advanced research, AI/ML workloads, and large-scale data processing. Backed by strong leadership and investment, the company is focused on delivering next-generation infrastructure that accelerates innovation ...

Your profile • Degree in computer science, data science, mathematics, a comparable field, or demonstrably equivalent practical experience • Solid experience building and deploying AI/ML systems in production environments • Hands-on experience with LLMs, including prompt engineering, fine-tuning, evaluation, RAG, and agentic systems • Ability to quickly familiarize yourself with ...

performing software delivery teams, including distributed or hybrid teams Experience working with or managing teams that include data engineers, data scientists, or AI and ML practitioners Comfort operating in a consultancy environment - managing competing client and internal demands, contributing to business development, and representing Scott Logic professionally What ...

expansion, and revenue outcomes, and monetizing new capabilities Solid understanding of AI technologies and experience working with or leading products that incorporate AI/ML, GenAI, automation, and data/insights. Commercial go‐to‐market experience translating product strategy into revenue growth, retention improvement, and expansion. Ability to engage credibly ...

content, labs, demos, and practical activities.What you’ll bringStrong working knowledge of Arm-based technologies, tools, platforms, or development environments.Technical grounding in AI/ML, compute systems, performance analysis, platform software, Arm-based development environments, software enablement, systems engineering, or related domains.Experience delivering or supporting technical content, applied labs, demos ...

Design and implement operating models for complex global organisations covering the full trading and commodity lifecycle. Digital Transformation: Mature clients’ digital capabilities and embed ML and AI into their architectures, improving commercial decision‐making and trader decision‐support tooling. Trading solution transformations: Lead implementations, upgrades and system selections for market ...

demos, and practical activities. What you'll bringStrong working knowledge of Arm-based technologies, tools, platforms, or development environments. Technical grounding in AI/ML, compute systems, performance analysis, platform software, Arm-based development environments, software enablement, systems engineering, or related domains. Experience delivering or supporting technical content, applied labs ...

discrete industriesProficiency in data analytics tools and programming languages such as Python, R, and SQL.Familiarity with advanced analytics techniques including predictive modeling and machine learning.ABOUT HONEYWELL TECHNOLOGIESHoneywell Technologies International Inc. invents and commercializes technologies that address some of the world’s most critical challenges around energy, safety, security ...