826 to 850 of 1,174 Machine Learning Jobs

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 ...

most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around ...

Antenna Materials Power Semiconductor Devices – including GaN and SiC Materials 5. Emerging & Priority Fields Biomedicine: Cell Therapy, Molecular Immunology, Biopharmaceuticals, Drug Development Artificial Intelligence: Machine Learning, Computer Vision, Intelligent Manufacturing Sustainability: Carbon Neutrality, Environmental Engineering, Green Resources 6. Key Responsibilities Conduct independent and/or collaborative scientific research ...

TNFD. Experience building or scaling a sales function within an early-stage or high-growth company. An interest in or understanding of AI, machine learning and how frontier technology is transforming financial services. What We Offer: The opportunity to build and lead a sales function from scratch ...

worked specifically with Guidewire, Duck Creek, or EIS – and can speak to their strengths and limitations from real implementations Experience articulating how AI, machine learning, or automation accelerates insurance product development, underwriting decisions, claims processing, or operational efficiency Track record of winning competitive deals against Salesforce Financial Services ...

/Cloud (Enterprise Scale) We are seeking a highly experienced AI Architect to lead the design, standardisation, and governance of enterprise-scale AI/ML and Generative AI platforms spanning data, application, and cloud infrastructure layers. This is a senior architecture position centred on building and overseeing production-grade ...

Contract (Inside IR35) Duration: 6 Months Job Summary: Our client is seeking a skilled and innovative Generative AI Engineer to join our AI/ML team. In this role, you will design, develop, and deploy cutting-edge generative models-including LLMs, diffusion models, and GANs-to solve real-world problems ...

process trading activity across multiple venues Contribute to trade capture, reconciliation, and position-keeping systems Build internal tooling and infrastructure supporting data analysis and ML workflows Take ownership of projects from concept through to production What we’re looking for: Strong experience with Python (Python 3) Experience building real-time ...

Account Executive to drive growth across Financial Services and Retail in the UK. What we’re looking for: Proven track record in AI/ML/GenAI sales Experience in a consultative or advisory (consulting-style) sales environment Strong commercial performance with TCV deals in the €300K–€500K range Demonstrated ...

Engine, Cloud Run Pub/Sub, Cloud Storage BigQuery, Vertex AI Google Kubernetes Engine (GKE) Certifications (Preferred) Professional Cloud Architect Professional Data Engineer Professional ML Engineer Package £110,000–£125,000 base salary Bonus + full benefits package Hybrid working (London) Training & certifications ...

scratch Comfortable working in fast-paced, evolving environments Interested in startup or high-growth settings Collaborative, pragmatic, and user-focused Interest in AI/ML is a bonus Additional Information London-based role with primarily in-office working Competitive salary Relocation support available for candidates moving to London from within ...

legacy DoD systems. This includes avionics, mission LRU's, flight worthy payloads, ground aerospace systems, and cutting edge third generation AI/ML for DoD platforms. Objectives of this Role: Responsible to develop System level and LRU Architectures. Lead the development of CONOPS, develop requirements, allocate requirements to engineering teams ...

with industry leaders ensure delivery of best-in-class solutions. Innovative Solutions : Offerings : SAP S4 Hana, ERP, Cloud, Analytics, IoT, Blockchain, RPA, AI/ML, Supply Chain, HCM, Procurement, and Mobility solutions. Proprietary Innovations : Unique solutions like AI-driven project management tools and advanced business suites. Competitive Compensation and Benefits ...

forecasting, including scenario modelling Experience with major energy hubs (e.g., TTF, JKM) and cross-commodity linkage Solid understanding of feature engineering, statistical modelling, and ML workflows Strong Python skills (e.g., pandas, NumPy, Jupyter) Strong analytical thinking with the ability to simplify complex concepts If this sounds like a good ...

master/reference data practices. Knowledge of access controls, PII handling, retention, and audit requirements. Preferred: Governance framework experience, streaming ingestion/schema evolution, ML-assisted entity resolution, retail/wholesale domain knowledge, familiarity with BI tools (Power BI, Looker, Tableau). Interested? Please Click Apply Now! Data Analyst ...

willing to take on any challenge—technical or otherwise—to support the team and deliver results If you are interested in this or other ML Engineering positions, please contact Gilad Sabari @ gilad.sabari@xcede.com ...

turning requirements into high-level and detailed solution architectures. Architect end-to-end data and AI platforms (ingestion, lakehouse/warehouse, semantic models, analytics, ML/AI integration). Produce roadmaps and design artefacts, guide delivery teams, and support key technical decisions. Support pre-sales, PoCs, and executive presentations ...

mindset and a passion for problem‐solving. Self-driven, ambitious, and comfortable working autonomously. Nice-to-Haves Experience with automation, cloud platforms, AI/ML, ERP/CRM, or data analytics. Understanding of professional services delivery. Exposure to industries undergoing digital modernisation. Why Join Us? Competitive salary + uncapped commission ...

owners, stewards, and engineers to ensure accurate and complete metadata capture Drive integration of metadata platforms with data catalogues, DQ tools, and AI/ML applications Provide strategic input on the future of metadata management in the context of AI acceleration Champion innovative approaches to data discovery and lineage, including ...

owners, stewards, and engineers to ensure accurate and complete metadata capture Drive integration of metadata platforms with data catalogues, DQ tools, and AI/ML applications Provide strategic input on the future of metadata management in the context of AI acceleration Champion innovative approaches to data discovery and lineage, including ...

assessing, securing, and migrating legacy systems into our scalable corporate architecture. Innovation: Stay "ahead of the curve" by identifying emerging technologies (e.g., AI/ML in drug development) that can drive efficiency and maintain our market-leading position. This is a high-impact role, leading and shaping the digital backbone ...

assessing, securing, and migrating legacy systems into our scalable corporate architecture. Innovation: Stay "ahead of the curve" by identifying emerging technologies (e.g., AI/ML in drug development) that can drive efficiency and maintain our market-leading position. This is a high-impact role, leading and shaping the digital backbone ...

need some here, but you'll work with the Senior R&D engineer who will guide you on coding) Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations) Strong analytical thinking and structured evaluation skills Excellent written communication — clear, concise, decision-ready outputs Self-directed working style with ...

working cross-functionally and influencing senior collaborators A strong delivery record across complex technology or change initiatives Knowledge of claims platforms, automation, AI/ML, cloud technologies and data analytics Excellent communication skills and a collaborative, pragmatic approach It's a bonus if you have: Experience working within regulated insurance ...

compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/… Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering ...