226 to 250 of 547 Remote/Hybrid Machine Learning Jobs

also have the following experience: Multi-industry background. Experience of working in or with consultancy led businesses. Solid experience with DevOps/SRE/ML Ops & AI tooling. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days ...

generative experiences for internal and external users. Collaborate with cross-functional teams to analyze business processes and identify automation opportunities. Integrate AI/ML models into automation workflows to enable intelligent decision-making and predictive insights. Develop APIs, Azure Function Apps, and microservices to support modular and scalable automation systems. ...

Title: Devops/SRE Engineer (AI/ML) Location: Seattle, WA (Remote) Duration: 12 months Job Id: 171076 Job Description: The MLPT Polymer group supports a range of Machine Learning platform products including: Bolt, Hub, Lightning and many Data Platform systems. These are all internal production tools supported … multiple Polymer offerings, including authentication (Notary), authorization (Directory), and collaboration (Squad) services. The ML ecosystem at Client has increasingly adopted Polymer services over the previous 3 years. The team is lean, building and operating multiple services to internal customers. Critical objectives within the team are related to each and every ...

cycles Working closely with data, domain and product teams to translate real-world requirements into model behaviour Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically Driving models through to production environments, ensuring robustness, scalability, and performance Experience Required Proven experience fine-tuning machine … understanding real-world failure modes Hands-on experience with Generative AI/LLM architectures and frameworks Strong Python engineering capability and familiarity with ML tooling (e.g. HuggingFace, PEFT, TRL, W&B) Experience working in cloud environments (AWS preferred) Ability to operate as a player-coach, combining deep technical expertise with ...

cycles Working closely with data, domain and product teams to translate real-world requirements into model behaviour Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically Driving models through to production environments, ensuring robustness, scalability, and performance Experience Required Proven experience fine-tuning machine … understanding real-world failure modes Hands-on experience with Generative AI/LLM architectures and frameworks Strong Python engineering capability and familiarity with ML tooling (e.g. HuggingFace, PEFT, TRL, W&B) Experience working in cloud environments (AWS preferred) Ability to operate as a player-coach, combining deep technical expertise with ...

cutting-edge AI technologies, including LLMs and agentic frameworks* Work across a broad range of industries and enterprise-scale projects* Strong focus on learning, innovation, and career progression* Collaborative, people-first culture THE PRINCIPAL AI CONSULTANT ROLE You will act as both a technical leader and trusted advisor, helping … senior business and technical stakeholders* Proven experience delivering AI solutions into production* Strong Python/software engineering background* Experience with Azure AI Foundry, Azure ML, Databricks, AWS SageMaker, Bedrock, or similar platforms* Strong understanding of MLOps, CI/CD, observability, and production AI delivery* Experience leading engineering teams and mentoring ...

cutting-edge AI technologies, including LLMs and agentic frameworks* Work across a broad range of industries and enterprise-scale projects* Strong focus on learning, innovation, and career progression* Collaborative, people-first culture THE PRINCIPAL AI CONSULTANT ROLE You will act as both a technical leader and trusted advisor, helping … senior business and technical stakeholders* Proven experience delivering AI solutions into production* Strong Python/software engineering background* Experience with Azure AI Foundry, Azure ML, Databricks, AWS SageMaker, Bedrock, or similar platforms* Strong understanding of MLOps, CI/CD, observability, and production AI delivery* Experience leading engineering teams and mentoring ...

deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business … development, and leadership teams to identify and prioritise AI opportunities across the organisation Required ExperienceEssential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong ...

regulated environments Strong understanding of ethical frameworks for data and AI (e.g. fairness, accountability, transparency, explainability) Experience applying ethical principles to AI/ML models and data-driven products Knowledge of UK regulatory and ethical standards (e.g. GDPR, ICO guidance, AI assurance frameworks) Familiarity with bias detection, mitigation, and fairness … multidisciplinary teams Responsibilities Define and implement data ethics and responsible AI frameworks aligned to government standards Assess ethical risks in data use, analytics, and machine learning models Provide guidance on fairness, bias mitigation, transparency, and explainability Review and challenge data-driven solutions to ensure ethical compliance and public ...

someone who wants broader ownership than a typical delivery-focused DS role. This role will sit at the intersection of product, analytics and machine learning. You’ll help prototype, test and shape new analytical products, building models that directly influence how clients engage customers, optimise collections and improve commercial … with Product Managers and Analysts to shape new product capability • Present insights and model outputs to internal and external stakeholders • Evaluate emerging AI and machine learning techniques for product innovation Key Details • Salary: Up to £65,000 • Location: Hybrid (minimum 2 days in London) • Tech stack: Python ...

agentic AI capabilities beyond experimentation and into dependable products thatoperatesafely and effectively at scale across our global marketplace. Working closely with software engineers, machine learning engineers, data scientists, product managers,analystsand technical leaders, you will shape how we build, test, deploy,monitorand govern AI-powered systems. Success … reliability and security. Provide technical leadership to evolve AI solutions from experimentation into robust, observable and maintainable products. Collaborate cross-functionally with product, engineering, ML and data teams to align technical decisions with user needs, business priorities and long-term platform strategy. Define and drive engineering standards, reusable patterns, tools ...

live deployment and business adoption. Working closely with IT, operational, commercial, and leadership teams, you will drive practical AI initiatives using Azure, LLMs, machine learning, and AI agents ensuring solutions are secure, scalable, integrated, and delivering measurable business impact. The organisation is already investing heavily … Required ExperienceEssential Proven experience leading AI strategy, implementation, or AI transformation initiatives within a business environment Deep expertise in Python and modern AI/ML frameworks and SDKs Strong experience building and deploying production-grade AI solutions, including RAG pipelines and LLM-based applications Hands-on experience with AI deployment ...

world’s most used provider of business credit reports with coverage of more than 430 million businesses worldwide. We deliver actionable intelligence powered by machine learning, AI, and connected data to help companies grow, thrive, and identify opportunities. Founded in 1997, we have offices in 16 countries serving … Annual Leave (plus bank holidays). Hybrid working model. Healthcare & Company Pension. Cycle to work and Wellbeing Programme. Global Company gatherings and events. E-learning and excellent career progression opportunities. Plus more that can be found on the benefits section on the Careers page, https://careers.creditsafe.com/ ...

simulation tools (FEA, CFD). Familiarity with CI/CD, containerisation, and infrastructure-as-code tools (e.g. Terraform). Experience or interest in machine learning applications within engineering contexts. Ideal Profile An early to mid-career software engineer (2–5 years’ experience) with strong technical foundations and demonstrable ...

very broad range of tech, across several greenfield projects and R&D environments, encompassing everything from full stack to embedded development, AI and Machine Learning tools and AWS/Azure cloud services to provide bespoke, secure software solutions to Government and Defence customers. We’re looking ...

Data Science, Data Analytics or Commercial Analytics role Advanced SQL and strong data manipulation skills Experience using Python or R for predictive modelling and machine learning Strong dashboarding and visualisation skills using Tableau, Power BI or similar Excellent commercial awareness and analytical thinking Ability to communicate complex findings ...

intelligent automation solutions, with a strong focus on: Agent-led experiences Workflow automation Secure enterprise integration This is not a pure data science or machine learning role, the focus is on scalable, real‐world solutions using Microsoft Copilot Studio, Power Platform, and Microsoft Foundry (for advanced scenarios). ...

completion. Degree in Computer Science, Mathematics, Statistics, Data Engineering, or a related discipline. Experience with React. Experience with AWS cloud services. Exposure to AI, machine learning, or related technologies. Previous startup or scale-up experience. Technology Stack .NET Core/C# React SQL AWS Elasticsearch Jira AI Platforms ...

with a pragmatic, solution-driven approach to mitigating risks across complex, secure deployments. Highly Desirable: Direct, hands-on experience deploying and running AI or Machine Learning workloads in a production environment. Holding an AWS Certified Solutions Architect (Associate or Professional) badge or an equivalent cloud certification. An entrepreneurial ...

code commenting or MS TFS Good understanding of fundamental computer programming concepts or Electronic Medical Record systems, with a basic understanding of statistical and Machine Learning concepts, dimensional models, and/or Data Warehouse systems Experience with Business Intelligence tools, such as Tableau, Cognos, Looker, Toad, Minitab, PowerBI ...

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 ...

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 ...

with relevant standards. Intelligent Problem Solving: Where applicable, identify and architect AI-driven solutions for complex defence challenges. You will ensure that AI and Machine Learning are integrated into systems engineering to solve specific mission problemssuch as predictive maintenance or autonomous ISTARensuring they are fit for purpose ...

safety, reliability, and interpretability are built into everything you deliver. What were looking for Were looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: Strong Python development experience Hands ...