801 to 825 of 1,523 Machine Learning Jobs

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 ...

tomorrow. The Emeritus and Eruditus global team include 1,000+ employees located in the US, Dubai, Mexico, India, China, and Singapore. Information about the Learning Facilitator role: Emeritus is seeking a Program Facilitator in RAG and Context Engineering: Designing and Building Production-Grade AI Systems for MIT xPRO. … years of extensive work experience as an Applied AI Consultant, Solutions Architect, Developer Educator, Technical Product Manager, Search/Retrieval Engineer or AI/ML Bootcamp Instructor. A bachelor’s degree is required; plus, a master’s degree is preferred in one of the following fields: engineering, artificial intelligence, machine ...

Architecture Leader to drive the design and delivery of enterprise-scale AI and data solutions. You will lead end-to-end architecture across AI, machine learning, analytics, and cloud platforms, ensuring solutions are scalable, secure, and cost-effective. … Skills 15+ years in Solution Architecture, Enterprise Architecture, or Technical Leadership. Strong expertise in Databricks, AWS, Snowflake, Python, and SQL. Experience designing AI/ML platforms, RAG solutions, vector databases, and cloud-native applications. Strong stakeholder management and leadership capabilities. Experience with FinOps, security, governance, and architecture best practices. Desirable ...

Requirements Current Head of AI, Head of Data Science, or Senior AI Lead ready to step up. Proven experience building and scaling AI/ML teams (0–10/0–15) . Insurance experience Strong technical credibility in ML, AI, and enterprise platforms. Hands-on experience with Azure, Databricks … ML tools (TensorFlow, PyTorch, Scikit-learn). Knowledge of Responsible AI, ethical frameworks, and compliance standards . Experience in insurance or regulated financial services preferred. Comfortable presenting to and influencing executives . Collaborative, adaptable, and able to navigate complex stakeholder environments . To apply: Please reach out via LinkedIn ...

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 ...

time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the Business LexisNexis Legal & Professional are a leading global provider … give organisations the business information and analytics they need to make better, more impactful decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making. ...

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 ...

Practical experience applying Generative AI and LLMs to real-world customer, marketing, digital, CRM, or commercial challenges ✔ Hands-on experience building, evaluating, and deploying Machine Learning models in production environments ✔ Proven end-to-end ownership of Data Science or GenAI projects -from identifying opportunities and shaping solutions through … edge GenAI, LLM, and customer data initiatives 📈 Accelerate your consulting career within a growing Data & AI practice 🤝 Join a collaborative team that values innovation, learning, and continuous development 📩 Interested? Apply now or get in touch for a confidential discussion. ...

Ecosystem The full modern Microsoft data stack: Fabric, Azure Data Factory, Synapse, Azure SQL, Azure Storage and Power BI. Advanced AI technologies including machine learning, generative AI, cognitive services, and responsible AI frameworks. Power Platform & Dataverse A heavy focus on Power Platform and Dataverse, as all customer data … platforms. Confident communicator able to own presales and C-suite conversations. Knowledge of Dynamics 365, DevOps pipelines and Agile delivery. Experience with ML, generative AI and cognitive services. Expertise in lakehouse, data mesh, ELT/ETL, MDM and modelling techniques. Ability to guide delivery teams without being the hands ...

will gain exposure to the full lifecycle of AI initiatives, supporting projects that include intelligent automation, Copilot-enabled workflows, advanced analytics and emerging machine learning capabilities. This is a hands-on role, ideal for someone curious about new technologies, including AI agents, and comfortable working at both … Copilot, Copilot Studio, or similar low-code/no-code platforms Basic to intermediate coding skills (e.g. Python) and an understanding of AI/ML concepts Experience exploring or implementing AI use cases, automation or data-driven solutions Familiarity with cloud platforms such as Azure AI, AWS or similar Strong ...

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/ ...

Hiring: Data Scientist/Machine Learning Scientist London (Hybrid) An exciting opportunity has opened with a leading global organisation building cutting-edge AI solutions at scale. We are looking for candidates who have hands-on experience building and deploying real-world LLM and agentic AI systems into production ...

sales and engineering to refine offerings Requirements Experience in Solution Engineering, Pre-Sales, Sales Engineering or Technical Consulting Strong knowledge of LLMs, Generative AI, Machine Learning Hands-on with LangChain, OpenAI, GPT or similar tools Programming experience in Python Experience with APIs, integrations and REST services Cloud exposure ...

data modelling, analytics, and data quality principles Degree in Computer Science, Engineering, Data Science, or related field (preferred) Preferred/Bonus Skills Exposure to machine learning or advanced analytics Experience with cloud data platforms If you're a data-driven professional looking to contribute within a cutting-edge ...

want to build AI and data products that are actually deployed into client environments? Have you worked on ML projects and wondered how they create commercial impact at scale? Are you ready to combine Data Science, consulting, and AI transformation in one role? A globally recognised strategy consultancy is hiring … client-facing engagements and internal innovation projects. **3 years of experience in data science/analytics required** Key Responsibilities • Build and deploy Python-based ML and analytics solutions • Support AI transformation and workflow automation initiatives • Develop reusable data products and internal tools • Present findings and demos to technical ...

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 ...

generative AI solutions within the Microsoft ecosystem . This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have ...