1,226 to 1,250 of 1,591 Machine Learning Jobs

through advanced analytics and AI. Experience working with senior business leaders and C-suite stakeholders. Expertise in areas such as forecasting, optimisation, pricing, risk, machine learning, or AI systems. Commercial mindset with the ability to lead, influence, and grow client relationships. Why Join? This is an opportunity ...

Sales Manager in Berkshire, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today. ...

breath of remits you will have undertaken. Strong experience and exposure to AI, innovation and wider data transformations. Any exposure to Machine learning or LLM's or Power flows Lead discovery sessions with business stakeholders to identify AI opportunities and clarify business objectives, success criteria, and measurable value. ...

probabilistic, and scenario-based modelling approaches Apply data science techniques to risk scoring, anomaly detection, and threat assessment across complex datasets Build and deploy machine learning models into production, ensuring scalability and robustness Develop scenario simulations to model potential risks, behaviours, and outcomes under uncertainty Analyse patterns, trends ...

kind of pricing infrastructure every pricing professional aspires to work with: High-quality, accessible data A fast, flexible rating algorithm deploy changes in hours Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development An operating model that gives complete autonomy to pricing professionals to dream ...

ensure documentation digitization and completeness. The team will also provide BAU support including maintenance of documentation data quality, exception management and expansion of machine learning to increase classification automation. Key Responsibilities: Interact with Bankers across various lines of business with mutual goal in collecting and ensuring documentation completeness ...

kind of pricing infrastructure every pricing professional aspires to work with: · High-quality, accessible data · A fast, flexible rating algorithm — deploy changes in hours · Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development · An operating model that gives complete autonomy to pricing professionals to dream ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

brands. Work closely with cross-functional teams to integrate data insights into marketing campaigns, product development, and commercial strategies. Utilize advanced analytics techniques, including machine learning, predictive modelling, and statistical analysis, to generate deeper insights. Establish and enforce data governance policies to ensure data quality, consistency, and compliance ...

Role • Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. • Work closely with client teams on the ground to embed solutions directly into operations. • Guide multi‐disciplinary teams ...

challenge constructively and work autonomously Desirable: Experience within technically complex, scientific, engineering, fintech, enterprise, or regulated environments Exposure to AI-driven products or machine learning platforms HCI or related academic background Experience working across international teams or user groups Interview Process Introductory video interview Design task (AI tools ...

software engineering, with the ability to operate both strategically and hands on. Key requirements include: * Proven ability to deliver AI or machine learning solutions into production environments * Strong programming capability in Python and modern AI frameworks * Experience working with LLMs and tools such as LangChain or similar ecosystems ...

developing compelling powerpoint presentations Desirable Skills Knowledge and experience of Low/No-Code platforms (e.g. Five9, AWS Connect) Data Analytics, AI and Machine Learning experience or exposure (particularly in the Insurance space with platforms such as KOFAX, Avaamo ...

Competent a data analysis and basic statistics Competent at understanding JSON data structures and being able to visual data manipulation. Ideally some experience in Machine Learning/Artificial Intelligence and/or Native apps. ...

content brands. We're made up of three specialist brands: 5V Tech – Our biggest division, working with cutting-edge clients across AI, Semiconductors, Machine Learning, Cloud, and more. 5V Media – Our content arm behind The IoT Podcast, Women in Deep Tech, and The Movers and Shakers Report. ...

passionate about using their skills to drive positive change. Mind Detect provides exceptional recruitment services to businesses who are leading the way in Data, Machine Learning and AI-driven technologies throughout Europe, the US and Asia. ...

native engineering approaches. Sharing knowledge, mentoring colleagues and contributing positively to the wider AI Engineering community. What youll bring: A strong understanding of AI, machine learning and agent-based AI concepts, including Retrieval Augmented Generation (RAG), multi-agent systems and conversational agents. Experience developing AI solutions using programming ...

efficiently, and increase long-term growth, customer loyalty and profitability. Our customers include hotels, attractions and tourism boards, and they use the power of machine learning, data science and real-time traveler data in Sojern’s products to build direct relationships with travelers across social, mobile ...

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 ...

address challenging national security problems and enable planning and decision making in domains as diverse as active threat deterrence, signal intelligence, cyber operations, machine learning, image processing, and applied data analytics. You'll join a multidisciplinary team of engineers who believe in fostering an open, collaborative work environment ...

address challenging national security problems and enable planning and decision making in domains as diverse as active threat deterrence, signal intelligence, cyber operations, machine learning, image processing, and applied data analytics. You'll join a multidisciplinary team of engineers who believe in fostering an open, collaborative work environment ...