751 to 775 of 1,486 Machine Learning Jobs

data platforms such as AWS, Azure, Snowflake, Databricks, or similar technologies. Understanding of data governance, compliance, privacy, and security principles. Exposure to data science, machine learning, or advanced analytics products. Experience with data visualisation and business intelligence platforms. Visa sponsorship is not available for this position. ...

Experience implementing governance frameworks and best practices for AI systems. Strong problem-solving and analytical skills. Desirable Experience Experience with Azure AI Studio, Azure Machine Learning, or Cognitive Services. Familiarity with DevOps practices and CI/CD pipelines within the Microsoft ecosystem. Experience integrating AI solutions with Microsoft ...

Experience implementing governance frameworks and best practices for AI systems. Strong problem-solving and analytical skills. Desirable Experience Experience with Azure AI Studio, Azure Machine Learning, or Cognitive Services. Familiarity with DevOps practices and CI/CD pipelines within the Microsoft ecosystem. Experience integrating AI solutions with Microsoft ...

scale datasets using technologies such as Oracle, KDB, or ClickHouse; familiarity with scripting languages (e.g., Python) is also beneficial. Working knowledge of AI and Machine Learning concepts , particularly how data quality, structure, and lineage affect analytical and AI‐driven outcomes. Experience leading analysis‐driven initiatives, mentoring junior team ...

databases, graph databases and NoSQL systems; Familiarity with Linux/Unix environments; Experience with collaborative development tools such as Jira and Confluence; Experience with machine learning approaches, ideally in the context of data discovery. Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/ ...

innovation and continuous learning. Communicating complex technical concepts clearly to non-technical stakeholders and project teams. Staying abreast of emerging technologies in data science, machine learning, digital twins and any other innovations relevant to the built environment. ABOUT YOU We value people who can think analytically and creatively ...

ready data engineering pipelines Utilise AWS-based infrastructure and services to deploy and manage data workflows Evaluate and implement a variety of AI and ML solutions to solve complex client problems, integrating models smoothly into production systems Creative visualisation techniques to design impactful, intuitive data visuals and dashboards Adhere ...

Experience with Azure Data Factory, Databricks, Spark, or lakehouse architectures. Exposure to Microsoft 365, Power Platform, or Microsoft Graph API. Understanding of AI/ML workflows and the data requirements that support them. Experience supporting large-scale data migrations or transformation programmes. Background working within architecture, design, engineering, or other ...

risk, or compliance analytics Demonstrable consulting or cross-functional delivery experience in FS or fintech Proven leadership of technical or investigative teams Familiarity with ML, LLMs, or automation in regulatory or fraud contexts Experience in data engineering and AI technologies (Added bonus: Python, Azure, ETL) Key Details Location: London ...

that transform data from operational systems into trusted, analytics-ready assets. Your work will enable high-quality reporting, insight generation, and future AI/ML initiatives across the business. What You'll Do * Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools. * Work with Snowflake ...

Qlik Strong understanding of data modelling, warehousing and ETL/ELT processes Excellent communication and stakeholder management skills Nice to have: Exposure to AI, ML or data science initiatives Experience in large-scale enterprise or regulated environments Familiarity with Big Data technologies or distributed systems This role is ideal ...

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 ...

/FIXML, messaging systems, or trading workflows Experience building reporting platforms or client-facing web applications Leadership or mentoring experience Exposure to AI/ML tooling or developer productivity automation The Environment Modern engineering culture with strong focus on quality and ownership Cloud-native distributed platform High visibility role with ...

production-grade conversational and generative AI products at scale. The role This is a platform and infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines, LLM orchestration, vector search, and evaluation workflows run on, across ...

Experience: The incumbent should have 1012+ years of experience in IT services sales in the European market , with at least 5+ years selling AI, ML, and data-led solutions . Exposure to the EMEA region is highly desirable, with a proven track record of closing large, complex AI transformation deals ...

practices Strong SQL skills and working knowledge of NoSQL datastores AI & Automation Hands-on experience integrating LLMs, AI APIs (OpenAI, Azure OpenAI, etc.), or ML models into production applications Familiarity with agentic frameworks, RAG pipelines, or AI-assisted workflow automation Ability to assess where AI genuinely adds value and communicate ...

Owner (CSPO), SAFe PO/PM). Experience with specific London Market data standards (e.g., ACORD, Blueprint Two initiatives). Exposure to AI/ML product development in a financial context. About ValueMomentum ValueMomentum is a leading solutions provider for the global property & casualty insurance industry, supported by deep domain ...

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 ...

business units and geographies - Combine an informed view of the market with a deep understanding of emerging technology trends - including AI/ML, generative AI, and data analytics - to support innovation across the segment - Develop innovative programs and drive international business growth across the account's global operations - Collaborate with ...

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 ...

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. ...