751 to 775 of 2,264 Machine Learning Jobs in London

and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best … is for you if you love creating and iterating on processes, connecting with inspiring customers, communicating candidly, using data to continuously exceed expectations, and learning every day in a scrappy start-up environment. What you'll do Drive first orders and spend per ordering retailer through phone calls, emails … in the founding process. We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners. More ❯

collect data efficiently. Bring data to life by integrating operational processes with culture, risks, and incidents throughArtificial Intelligence (AI) and Machine Learning (ML). Better enable the uptake and deployment of innovative safety technologies, improving the safety and performance of operations. The Digital Sales Enablement/Solution Architect More ❯

About Tova Tova is transforming how organizations understand and manage water risk. We leverage a proprietary machine learning hydrologic model to forecast water availability anywhere in the world, helping water intensive industries proactively manage their water supply risks. Our team’s advances in water system analytics and modeling … applied globally. Tova was founded by Alexa Bruce (co-founder and CEO), a water resources engineer and former Arup consultant with a PhD in machine learning, and Prof Casey Brown (co-founder and Chief Science Officer), a world-renowned expert in climate and water with a Harvard PhD More ❯

About Tova Tova is transforming how organizations understand and manage water risk. We leverage a proprietary machine learning hydrologic model to forecast water availability anywhere in the world, helping water intensive industries proactively manage their water supply risks. Our team’s advances in water system analytics and modeling … applied globally. Tova was founded by Alexa Bruce (co-founder and CEO), a water resources engineer and former Arup consultant with a PhD in machine learning, and Prof Casey Brown (co-founder and Chief Science Officer), a world-renowned expert in climate and water with a Harvard PhD More ❯

team and play a key role in driving the business forward. They use an in-house pricing system combining traditional Emblem GLM models with machine learning models developed in Python. My client has an office based in London however, this role can be fully remote. Required skills: - Proactive … working are key. - Strong technical pricing background, ideally with experience using WTW Emblem; retail pricing and/or exposure to data science techniques (e.g. machine learning, Python) within a pricing context is highly desirable. - 3 to 8 years of experience within personal lines insurance is required More ❯

team and play a key role in driving the business forward. They use an in-house pricing system combining traditional Emblem GLM models with machine learning models developed in Python. My client has an office based in London however, this role can be fully remote. Required skills: - Proactive … working are key. - Strong technical pricing background, ideally with experience using WTW Emblem; retail pricing and/or exposure to data science techniques (e.g. machine learning, Python) within a pricing context is highly desirable. - 3 to 8 years of experience within personal lines insurance is required More ❯

team and play a key role in driving the business forward. They use an in-house pricing system combining traditional Emblem GLM models with machine learning models developed in Python. My client has an office based in London however, this role can be fully remote. Required skills: - Proactive … working are key. - Strong technical pricing background, ideally with experience using WTW Emblem; retail pricing and/or exposure to data science techniques (e.g. machine learning, Python) within a pricing context is highly desirable. - 3 to 8 years of experience within personal lines insurance is required More ❯

team and play a key role in driving the business forward. They use an in-house pricing system combining traditional Emblem GLM models with machine learning models developed in Python. My client has an office based in London however, this role can be fully remote. Required skills: - Proactive … working are key. - Strong technical pricing background, ideally with experience using WTW Emblem; retail pricing and/or exposure to data science techniques (e.g. machine learning, Python) within a pricing context is highly desirable. - 3 to 8 years of experience within personal lines insurance is required More ❯

team and play a key role in driving the business forward. They use an in-house pricing system combining traditional Emblem GLM models with machine learning models developed in Python. My client has an office based in London however, this role can be fully remote. Required skills: - Proactive … working are key. - Strong technical pricing background, ideally with experience using WTW Emblem; retail pricing and/or exposure to data science techniques (e.g. machine learning, Python) within a pricing context is highly desirable. - 3 to 8 years of experience within personal lines insurance is required More ❯

team and play a key role in driving the business forward. They use an in-house pricing system combining traditional Emblem GLM models with machine learning models developed in Python. My client has an office based in London however, this role can be fully remote. Required skills: - Proactive … working are key. - Strong technical pricing background, ideally with experience using WTW Emblem; retail pricing and/or exposure to data science techniques (e.g. machine learning, Python) within a pricing context is highly desirable. - 3 to 8 years of experience within personal lines insurance is required More ❯

team and play a key role in driving the business forward. They use an in-house pricing system combining traditional Emblem GLM models with machine learning models developed in Python. My client has an office based in London however, this role can be fully remote. Required skills: - Proactive … working are key. - Strong technical pricing background, ideally with experience using WTW Emblem; retail pricing and/or exposure to data science techniques (e.g. machine learning, Python) within a pricing context is highly desirable. - 3 to 8 years of experience within personal lines insurance is required More ❯

team and play a key role in driving the business forward. They use an in-house pricing system combining traditional Emblem GLM models with machine learning models developed in Python. My client has an office based in London however, this role can be fully remote. Required skills: - Proactive … working are key. - Strong technical pricing background, ideally with experience using WTW Emblem; retail pricing and/or exposure to data science techniques (e.g. machine learning, Python) within a pricing context is highly desirable. - 3 to 8 years of experience within personal lines insurance is required More ❯

team and play a key role in driving the business forward. They use an in-house pricing system combining traditional Emblem GLM models with machine learning models developed in Python. My client has an office based in London however, this role can be fully remote. Required skills: - Proactive … working are key. - Strong technical pricing background, ideally with experience using WTW Emblem; retail pricing and/or exposure to data science techniques (e.g. machine learning, Python) within a pricing context is highly desirable. - 3 to 8 years of experience within personal lines insurance is required More ❯

hundreds of the world's leading research organizations and enterprises-including 12 of the Fortune 50-to achieve first-to-market results with AI, machine learning, and high-performance computing. We invite you to join us on this exciting journey. Our Culture WEKA is growing fast! We're … can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy. WEKA is a pre-IPO, growth-stage company … strategy that aligns with WEKA's global objectives and captures market opportunities, especially in high-growth areas like the Middle East and AI/ML-driven sectors. Build strong relationships with strategic customers and partners across the region to understand their needs and help drive value with WEKA's data More ❯

ll work with our infrastructure domain experts to deploy these systems and get your models into production. About the Role You'll take applied machine learning from research papers into production You'll work with our senior infrastructure team to optimize these systems for speed, scale, and cost … applied research with a product focus Preferred but Not Required You have experience building large-scale online evaluation pipelines You have experience with deploying machine learning models with over 70B parameters or multi-GPU systems What's in it for You? Our culture is default in-person with More ❯

Teams: Bridge the gap between design and technology by effectively communicating and exchanging ideas with our technical teams, particularly in distinguishing between data and machine learning applications. User Testing: Conduct rigorous user testing to swiftly validate design concepts and iterate based on user feedback, ensuring the effectiveness and … user testing sessions, gathering actionable feedback, and iterating designs accordingly. Tech Collaboration: Experience collaborating with technical teams, with a good understanding of data and machine learning concepts to facilitate effective communication and idea exchange. Person Specification About You: User Advocate: Passionate about enhancing the experiences of colleagues through More ❯

discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding-from cause to cure. This year, we embarked on … an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are … our mission to deliver transformative medicines to patients. Together, we're not just conducting research-we're setting new standards in the fields of machine learning and genetics. The patient is waiting! Relation is a committed equal opportunities employer. More ❯

Fulfillment Technology) Software, FC Launch, Supply Chain, and EU fulfillment center leaders Create standards for your process and training material in collaboration with the Learning & Development team, to secure high level of knowledge within the FC operations Collaborate with the extended EU ACES teams to define process standards and … driving process excellence and continuous improvement culture in a large organization Strong Process/benchmark auditing and non-compliance management experience Experience with modern machine learning: deep learning, online/reinforcement learning, semi-supervised and transfer learning Experience working with technology and software teams to More ❯

Fulfillment Technology) Software, FC Launch, Supply Chain, and EU fulfillment center leaders Create standards for your process and training material in collaboration with the Learning & Development team, to secure high level of knowledge within the FC operations Collaborate with the extended EU ACES teams to define process standards and … driving process excellence and continuous improvement culture in a large organization Strong Process/benchmark auditing and non-compliance management experience Experience with modern machine learning: deep learning, online/reinforcement learning, semi-supervised and transfer learning Experience working with technology and software teams to More ❯

for an MLOps + DevOps Engineer who thrives in fast-paced environments, takes ownership , and has experience building infrastructure for large-scale AI and ML applications . You'll be instrumental in developing automated, scalable, and high-performance ML infrastructure to support generative AI workflows and large language models (LLMs … in production. What You’ll Do Design, build, and maintain scalable ML platforms for model development, experimentation, and production workflows. Automate ML infrastructure deployment, including data pipelines, model training, validation, and deployment. Manage the full ML lifecycle , from model versioning to deployment, monitoring, and retraining. Optimise large language model (LLM … operations , ensuring efficient fine-tuning, deployment, and performance monitoring. Collaborate closely with data scientists and engineers to develop and deploy ML models at scale. Optimise performance for inference and training across GPUs and cloud-based architectures. Ensure security and compliance for ML platforms handling sensitive data. Evaluate and integrate MLOps More ❯

for an MLOps + DevOps Engineer who thrives in fast-paced environments, takes ownership , and has experience building infrastructure for large-scale AI and ML applications . You'll be instrumental in developing automated, scalable, and high-performance ML infrastructure to support generative AI workflows and large language models (LLMs … in production. What You’ll Do Design, build, and maintain scalable ML platforms for model development, experimentation, and production workflows. Automate ML infrastructure deployment, including data pipelines, model training, validation, and deployment. Manage the full ML lifecycle , from model versioning to deployment, monitoring, and retraining. Optimise large language model (LLM … operations , ensuring efficient fine-tuning, deployment, and performance monitoring. Collaborate closely with data scientists and engineers to develop and deploy ML models at scale. Optimise performance for inference and training across GPUs and cloud-based architectures. Ensure security and compliance for ML platforms handling sensitive data. Evaluate and integrate MLOps More ❯

Senior ML Engineer, AWS Generative AI Innovation Center The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build … bespoke solutions that harness the power of generative AI. As an ML Engineer, you'll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and … technologies. We're looking for Engineers and Architects capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key Job Responsibilities Collaborate with ML scientists and engineers to research, design and develop cutting-edge generative AI More ❯

an extensive backend operation that provides our apps with core services like authentication and payments; harnesses massive compute power for research purposes using advanced ML and data-science techniques and enables the development of advanced and unique features in our apps; allows Lightricks to extract the most from our products … and our marketing efforts by smartly and efficiently utilizing data. Our ML Platform team is responsible for building Lightricks' ML serving platform, which hosts all of the company's ML models. Our goal is to create streamlined processes to bring functional research code and AI models to production grade systems … where millions of our apps users enjoy this magic. What you will be doing Take a key part in designing, building and maintaining our ML serving platform and making sure it is scalable and reliable. Our goal is to provide researchers and other developers in the company an easy way More ❯

of the Geospatial science team within Last Mile, you will partner closely with other scientists and engineers in a collegial environment to develop enterprise ML solutions with a clear path to business impact. The setting also gives you an opportunity to think about a complex large-scale problem for multiple … sophisticated solutions year over year. In the process there will be opportunity to innovate, explore SOTA and publish the research in internal and external ML conferences. Successful candidates will have deep knowledge of competing machine learning methods for large scale predictive modelling, natural language processing, semi-supervised & graph … work on a end-to-end business problem from design to experimentation and implementation. There is also an opportunity to work on open ended ML directions within the space and publish the work in prestigious ML conferences. BASIC QUALIFICATIONS 3+ years of building models for business application experience PhD, or More ❯

a real impact, helping shape the company's technological foundations from the ground up. Working in an interdisciplinary environment -spanning physics, chemistry, biology, and machine learning-you'll continuously grow your skills while contributing to meaningful innovation. What We're Looking For: 2-4 years of hands-on … Experience in an Agile development environment Degree (BSc, MSc, or PhD) in Computer Science, Engineering , or a related field Bonus points for knowledge in machine learning, AI , data engineering , or DevOps/containerization GCS is acting as an Employment Agency in relation to this vacancy. More ❯