6,276 to 6,300 of 6,539 Machine Learning Jobs in the UK

Year's Day!)- Paid parental leave- Fertility and family-building stipend through Carrot- Company-facilitated 401(k)- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual … with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without ...

looking for an exceptional Robotics Engineer to build autonomous robotic systems in real world environments. This role sits at the intersection of robotics, machine learning and systems engineering. You will work across the full stack, from research, planning, control systems all the way to deployment. This position … suited to someone who is equally comfortable in research, training machine learning models and delivery of a robot to the field. Responsibilities Design, build and deploy autonomous robotic systems. Develop planning, perception and control systems using modern machine learning and robotics techniques. Research and implement state ...

Year's Day!)- Paid parental leave- Fertility and family-building stipend through Carrot- Company-facilitated 401(k)- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual … with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without ...

Safi in London is seeking an AI Product Manager for Vision Models to connect on-the-ground AI performance with our ML engineering. You will spend time at recycling sites observing operations and translating observations into data-driven model development. The role is junior-mid level with ample hands … learning; travel to sites worldwide is expected. You will own data pipelines, labeling guidelines, and the ML backlog while coordinating with sales, deployment, and engineers. #J-18808-Ljbffr ...

Susquehanna is offering a quantitative systematic trading graduate programme in London. You will join a community of researchers, traders and developers, learning to identify signals, test strategies, and implement them within our trading systems. The programme welcomes graduates from any discipline; no finance background required as comprehensive training … provided, with hands-on simulations and project work to build practical expertise in data analysis and machine learning in a real-world #J-18808-Ljbffr ...

whiteboard and figuring things out from first principles. Who thrives on the pace and ambiguity of working in a startup environment. Experienced taking ML concepts from "works on my laptop" to real production systems. You know about the unglamorous parts, like data pipelines, evals and maybe even statistics. Calm when … growing revenue, and ensuring everything is secure. We think we’re best placed to do this with our agentic multimodal approach. This effort spans ML, real physical hardware, and software development. If you’re excited by the idea of teaching computers to understand, reason and interact with digital interfaces ...

prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search … prototype applications and work with real robots inside and outside the lab to manage real-world use cases. A strong algorithmic background in scalable machine learning (e.g., reinforcement learning/imitation learning; multimodal foundation models) and experience with real robots/robot simulation and training setups ...

role. YOU ARE As a Lead and Principal Infrastructure Architect, youownend-to-end responsibility for designing optimized compute infrastructure for large-scale AI and machine learning systems, including large-scale distributed training environments click apply for full job details ...

technologies (Unreal Engine, real-time rendering, LED volume stages) Familiarity with DAM systems, asset pipelines, and metadata automation Experience with machine learning (ML) tools and methods applied to visual content Understanding of studio photography/video workflows and creative team dynamics Amazon is an equal opportunities employer. ...

enterprise value. You will work across cloud, data platforms, and applied machine learning. Design data and AI platform architectures. Build and deploy production ML systems. Establish governance for responsible AI. Partner with strategy teams to translate ambition into delivery. We look for strong engineers with experience in modern data … ML tooling and a passion for real-world impact. #J-18808-Ljbffr ...

company is developing high-performance compiler backends that allow Triton kernels to run efficiently across proprietary AI accelerators, helping hardware companies support modern machine-learning workloads without requiring engineers to rewrite kernels for every device. They’re now looking for a Senior Compiler Engineer to help build this … inference workloads Working on IR transformations, lowering and scheduling strategies Analysing performance bottlenecks and pushing kernels towards peak efficiency Collaborating with hardware architects and machine-learning engineers Helping shape the architectural direction of the compiler stack What they’re looking for: Strong compiler development experience with LLVM, MLIR ...

ensure proposed solutions are realistic, scalable, and aligned with platform standards Provide guidance on compute, networking, storage, orchestration, and workload optimisation for AI and machine learning use cases Help create repeatable demo environments, technical playbooks, reference architectures, and sales enablement materials Act as a technical voice … enterprise or mid-market sales cycles in infrastructure, cloud, AI, data centre, or platform environments Good understanding of cloud infrastructure, GPU compute, AI/ML workloads, or high-performance infrastructure Familiarity with containers, Kubernetes, Slurm, orchestration platforms, or workload deployment models Understanding of networking, storage, and distributed compute concepts ...

Lead Alpha Researcher to join our Systematic Equities team. You will lead a senior research effort, developing and scaling alpha generation, predictive modelling, and machine learning across our global equities business. You will manage researchers across Europe, shape the research agenda, and drive production deployment of high-impact ...

experienced engineer with several years in infrastructure engineering who now takes on more complex, higher-impact work designing andoptimizingthe AI and machine learning infrastructure that powers real-world applications click apply for full job details ...

Principal AI Infrastructure Architect, you are the firm's most senior technical authority on compute infrastructure for large-scale AI and machine learning systems, bringing extensive experience as a lead and senior architect along with command over a broad landscape of technological options and the latest innovations click ...

will develop quantitative models, integrate AI capabilities, and translate complex data into actionable investment insights for institutional clients. The role combines equity research with machine learning and platform development, offering hybrid work and opportunities to advance scalable research tools and client engagement. #J-18808-Ljbffr ...

Design and ship production machine learning models that directly impact user engagement and company earnings Translate complex mathematical business problems into concrete ML formulations Build and optimize reward and payout structures, balancing user motivation with cost sustainability and advertiser value Diagnose and troubleshoot underperforming reward campaigns, identifying root … causes and implementing solutions Contribute to the design and implementation of core ML infrastructure, including training pipelines and live model serving Требования Hands-on experience shipping production ML models end-to-end Experience working across data pipelines, models, and live serving Strong grounding in statistics, including A/B testing ...

governance frameworks, and scalable AI deployments with senior stakeholders across technology, security, data, procurement and legal. You will lead the integration of AI and machine learning into network planning, operations and assurance, ensuring responsible, auditable adoption and strong partnership with operating #J-18808-Ljbffr ...

Systems Engineer. You will design and develop AI solutions that automate customer interactions and enhance workflows. Ideal candidates will have extensive experience in machine learning systems, particularly with AI agents and robust back-end technologies. You will also work collaboratively with engineers and product managers to implement innovative ...

seeking a Robotics Engineer to design and develop robotic systems for automation and manufacturing. The role involves programming sensors, integrating control systems, and implementing machine learning algorithms to enhance performance. The ideal candidate should have strong experience in robotics engineering, proficiency in C++ and Python, and familiarity with ...

Limited invites you to join a high-impact Applications Engineering role focused on enabling partners with Computer Vision and Machine Learning software on Arm technology for Edge and Physical AI applications. You will work directly with customers and cross-functional teams to ensure successful adoption and deployment ...

Principal AI Engineer to drive innovative AI initiatives. The ideal candidate will have strong leadership skills and deep technical expertise in AI and machine learning, overseeing the development of advanced AI systems. This high-impact role demands a visionary who can mentor future AI engineers and shape technical ...

Software Safety Engineer to assess software lifecycle processes and regulatory documentation for medical device software. You’ll work with our product, engineering and applied machine learning teams to strengthen safety and accelerate certification decisions. You’ll screen regulatory insights from the latest standards, identify evidence gaps, and create ...

will develop quantitative models, integrate macro insights, and build scalable research tools for institutional clients. The role emphasizes cross-functional collaboration with senior analysts, machine learning, and platform development to translate data into differentiated investment insights for asset managers, pension funds, and hedge funds. #J-18808-Ljbffr ...

team of 4–6 data scientists to impact rider pay, incentives, supply and demand, and network performance. You will partner with Operations, Product, Machine Learning and Engineering to translate insights into operational, product and commercial decisions while developing your team in a fast-paced marketplace. #J-18808-Ljbffr ...