4,651 to 4,675 of 6,483 Machine Learning Jobs in the UK

SaaS, or data-driven enterprise solutions. Expertise in managing customer-facing projects, balancing technical execution with business impact. Solid understanding of AI/ML concepts, data integration, and enterprise software implementation. Excellent communication and stakeholder management skills, with the ability to translate technical details into business value. Experience with agile ...

SaaS, or data-driven enterprise solutions. Expertise in managing customer-facing projects, balancing technical execution with business impact. Solid understanding of AI/ML concepts, data integration, and enterprise software implementation. Excellent communication and stakeholder management skills, with the ability to translate technical details into business value. Experience with agile ...

SaaS, or data-driven enterprise solutions. Expertise in managing customer-facing projects, balancing technical execution with business impact. Solid understanding of AI/ML concepts, data integration, and enterprise software implementation. Excellent communication and stakeholder management skills, with the ability to translate technical details into business value. Experience with agile ...

SaaS, or data-driven enterprise solutions. Expertise in managing customer-facing projects, balancing technical execution with business impact. Solid understanding of AI/ML concepts, data integration, and enterprise software implementation. Excellent communication and stakeholder management skills, with the ability to translate technical details into business value. Experience with agile ...

SaaS, or data-driven enterprise solutions. Expertise in managing customer-facing projects, balancing technical execution with business impact. Solid understanding of AI/ML concepts, data integration, and enterprise software implementation. Excellent communication and stakeholder management skills, with the ability to translate technical details into business value. Experience with agile ...

SaaS, or data-driven enterprise solutions. Expertise in managing customer-facing projects, balancing technical execution with business impact. Solid understanding of AI/ML concepts, data integration, and enterprise software implementation. Excellent communication and stakeholder management skills, with the ability to translate technical details into business value. Experience with agile ...

SaaS, or data-driven enterprise solutions. Expertise in managing customer-facing projects, balancing technical execution with business impact. Solid understanding of AI/ML concepts, data integration, and enterprise software implementation. Excellent communication and stakeholder management skills, with the ability to translate technical details into business value. Experience with agile ...

SaaS, or data-driven enterprise solutions. Expertise in managing customer-facing projects, balancing technical execution with business impact. Solid understanding of AI/ML concepts, data integration, and enterprise software implementation. Excellent communication and stakeholder management skills, with the ability to translate technical details into business value. Experience with agile ...

SaaS, or data-driven enterprise solutions. Expertise in managing customer-facing projects, balancing technical execution with business impact. Solid understanding of AI/ML concepts, data integration, and enterprise software implementation. Excellent communication and stakeholder management skills, with the ability to translate technical details into business value. Experience with agile ...

SaaS, or data-driven enterprise solutions. Expertise in managing customer-facing projects, balancing technical execution with business impact. Solid understanding of AI/ML concepts, data integration, and enterprise software implementation. Excellent communication and stakeholder management skills, with the ability to translate technical details into business value. Experience with agile ...

SaaS, or data-driven enterprise solutions. Expertise in managing customer-facing projects, balancing technical execution with business impact. Solid understanding of AI/ML concepts, data integration, and enterprise software implementation. Excellent communication and stakeholder management skills, with the ability to translate technical details into business value. Experience with agile ...

SaaS, or data-driven enterprise solutions. Expertise in managing customer-facing projects, balancing technical execution with business impact. Solid understanding of AI/ML concepts, data integration, and enterprise software implementation. Excellent communication and stakeholder management skills, with the ability to translate technical details into business value. Experience with agile ...

Frontier topics: multimodal models, agents, tool use, test-time compute, world models Published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI PhD in ML/NLP — or equivalent practical experience you can point to Public work: non-trivial AI side projects, interdisciplinary experiments, open-source contributions Full-stack research ...

SaaS, or data-driven enterprise solutions. Expertise in managing customer-facing projects, balancing technical execution with business impact. Solid understanding of AI/ML concepts, data integration, and enterprise software implementation. Excellent communication and stakeholder management skills, with the ability to translate technical details into business value. Experience with agile ...

growing organisation within the Defence Sector, based in Cambridge, is currently seeking a skilled Machine Learning Engineer or Artificial Intelligence Engineer to contribute to the ongoing development of defence, security, and intelligence technologies. This is an expanding organisation offering intriguing career development opportunities based on success. You will … ongoing skills training, and other outstanding perks. If you seek daily challenges and the opportunity to work on projects at the forefront of the ML/AI field, we encourage you to apply now, as we anticipate significant interest in this role. For more information, please do not hesitate ...

Python, C++, Rust, or similar systems languages. Experience designing and operating highly available distributed systems. Experience with GPU infrastructure, high-performance computing, ML infrastructure, or large-scale compute platforms. Experience with Kubernetes, cloud infrastructure, Linux, networking, and observability tooling. Excellent debugging, systems design, and operational problem-solving skills. Strong communication ...

judgment to apply them Experience in a Global Systems Integrator, agency, or professional services environment Preferred AWS certifications: Solutions Architect Professional and specialty certifications (ML, Data Analytics) Hands‐on experience with Amazon Bedrock and generative AI implementations Familiarity with Amazon Marketing Cloud (AMC) and advertising technology Prior AWS partner‐company ...

fast-paced environments Knowledge of UML and/or DO-178C is advantageous but not necessary Experience working with or familiarity with AI/ML models is preferred. Additional Information This role has a salary of between 36,000 and 45,000 plus our flexible benefits package. We are open ...

which the other teams depend, working wider CI data teams and IT, as well ascloud providers,to ensure that our AI scientists and ML teamsget the best from all available infrastructure. This is a technical leadership role that requires deep technical expertise and relationship building. You will be a senior ...

taking ownership from system design through production operation. Thrive in fast-moving environments with significant technical ambiguity. Are interested in model-serving or ML infrastructure, but do not need specialized experience with GPUs or low-level hardware. Qualifications Five or more years of software engineering experience building production infrastructure. Strong ...

deployment and resolution. Desirable Experience deploying or supporting systems in live operational or mission‐critical environments. Experience with one or more of AI/ML, data engineering, geospatial systems or edge computing. Experience deploying solutions into disconnected, bandwidth‐constrained or otherwise challenging environments. Experience working in defence, national security, emergency ...

acceptance testing (SAT) experience Systems Integration Sensor configuration, end to end device remote maintenance and upgrading, Data processing including computer vision and AI/ML Familiarity with Intellectual Asset Management and commercial models for new technology. Attributes Analytical, problem solving and organizational skills Attention to detail Good communication and presentation ...

acceptance testing (SAT) experience Systems Integration Sensor configuration, end to end device remote maintenance and upgrading, Data processing including computer vision and AI/ML Familiarity with Intellectual Asset Management and commercial models for new technology. Attributes Analytical, problem solving and organizational skills Attention to detail Good communication and presentation ...

degree in Business Administration, Marketing, Economics, Engineering, Computer Science or a related discipline; an MBA or relevant advanced certifications (sales methodologies, negotiation, AI/ML literacy) is advantageous. 8–12 years of progressive experience in enterprise sales, business development or strategic account management within a solutions‐oriented B2B environment, with ...

designed to smash client’s problems and make tech work harder for them. They include: Performance engineering Cloud adoption, migration and optimisation Data, ML and AI enablement We tie this all together with a little thing we call ‘delivery excellence’, backed up with performance engineering, DevOps, and design thinking. ...