our customers' all shopping needs. We build platforms, systems and tools to create and take advantage of datasets that contains billions of records, use the latest machine learning, data processing technologies and a broad set of AWS technologies. In order to drive the expansion of Amazon selection, we use cluster-computing technologies such as MapReduce and Spark to process … the products/brands not already sold on Amazon. We work with structured and unstructured content such as text and images and apply Machine Learning algorithms such as Clustering, NaturalLanguageprocessing, Fuzzy matching and Image processing at a massive scale. We are looking for a Manager, Applied Science to tackle ambiguous problems in the areas … deliver solutions that will have an impact to both Amazon top-line & bottom line. BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning and computer More ❯
mining, predictive analytics, and intelligent decision support systems, while also incorporating complementary AI capabilities including voice technologies (IVR, voice-to-text), computer vision (image and video-based diagnostics), and naturallanguageprocessing where they provide strategic value. Beyond our customer-facing products, you'll drive internal operational excellence by developing AI-powered tools that enhance efficiency across …/ML solutions in enterprise software environments, with a proven track record of launching automation solutions and AI features in complex business contexts Strong understanding of machine learning algorithms, NLP, and LLMs with demonstrated business application expertise Experience developing AI-powered automation systems, intelligent assistants/copilots, RAG systems, voice interfaces, and computer vision applications (image and video processingMore ❯
City of London, London, United Kingdom Hybrid / WFH Options
Experis UK
team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, naturallanguageprocessing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers More ❯
team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, naturallanguageprocessing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers More ❯
london, south east england, united kingdom Hybrid / WFH Options
Experis UK
team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, naturallanguageprocessing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Experis UK
team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, naturallanguageprocessing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers More ❯
outcomes and innovation. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust solutions. Work on diverse projects ranging from predictive analytics to naturallanguageprocessing, providing variety and challenge in your day-to-day work. Leverage your expertise to influence decision-making and enhance product functionality Key Skills Proficiency in More ❯
years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and naturallanguageprocessing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven ability to partner with stakeholders and adapt AI solutions to complex healthcare challenges More ❯
years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and naturallanguageprocessing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven ability to partner with stakeholders and adapt AI solutions to complex healthcare challenges More ❯
East London, London, United Kingdom Hybrid / WFH Options
Planet Pharma
years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and naturallanguageprocessing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven ability to partner with stakeholders and adapt AI solutions to complex healthcare challenges More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Planet Pharma
years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and naturallanguageprocessing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven ability to partner with stakeholders and adapt AI solutions to complex healthcare challenges More ❯
Central London / West End, London, United Kingdom Hybrid / WFH Options
Planet Pharma
years applying AI/ML to healthcare or clinical research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and naturallanguageprocessing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven ability to partner with stakeholders and adapt AI solutions to complex healthcare challenges More ❯
s or Master's in Computer Science, Data Science, AI/ML, Statistics or a related quantitative field; PhD preferred Hands-on experience with generative AI methods, deep learning, naturallanguageprocessing or reinforcement learning Proven track record applying AI and ML to solve complex business problems, ideally in marketing, advertising or e-commerce Strong proficiency in More ❯
in subscription-based businesses or digital streaming services. Experience with global platforms and understanding of international market nuances. Proven track record of leveraging AI/ML technologies, such as naturallanguageprocessing, GenAI, and/or predictive analytics to design and deliver customer service solutions that enhance the user experience, reduce resolution times, and agent productivity. Additional More ❯
ensure AI systems are reliable, maintainable, production-ready and can be readily adapted to future developments. • Choose the right approach for the problem at hand, evaluating classical ML and NLP techniques, LLM-based solutions, and agentic solutions to balance trade-offs between speed, cost, complexity, interpretability, and performance. • Collaborate closely with product, design, and other engineering teams to scope work … and modern ML and agentic frameworks such as PyTorch, TensorFlow, or LangChain, with experience packaging models into APIs or integrating them into applications. • A solid understanding of LLMs for naturallanguageprocessing applications, including topics such as embeddings, prompt engineering and fine-tuning. • Strong software engineering foundations such as version control, unit/integration testing, CI/ More ❯
search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, naturallanguageprocessing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical More ❯
passion for solving problems using state-of-the-art information retrieval, naturallanguageprocessing and generative AI. About the Role Lead Applied Scientists are experts in NLP/IR/ML/GenAI, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage information retrieval techniques, prompting workflows, model training and … of Lead Applied Scientist if your background includes: PhD in a relevant discipline or Master's plus a comparable level of experience, 7+ years of hands-on experience building NLP/IR systems for commercial applications, Experience writing production code and ensuring well-managed software delivery, Demonstrable experience translating complex problems into successful AI applications, Professional experience scaling yourself and More ❯
and Experience: Experience with programming languages such as Python, C++, R, VBA, and/or MATLAB, showcasing technical proficiency. Familiarity with AI technologies or tools, including Machine Learning Algorithms, NaturalLanguageProcessing Tools, and/or Robotic Process Automation, reflecting a forward-thinking approach. About S&P Global Ratings At S&P Global Ratings, our analyst-driven More ❯
Emplifi, YouTube Analytics). Good practical understanding of one or more data visualisation tool, such as Tableau or Power BI. Good practical understanding of one or more data scripting language, such as Python or SQL. Understanding of digital media trends across global markets and platforms. DESIRED BUT NOT REQUIRED Experience working with data science teams on Machine Learning or … NaturalLanguageProcessing projects. Familiarity with research methodologies (e.g. surveys, focus groups, user testing). Knowledge of statistical concepts (e.g. sampling, significance testing, regression). Experience in international research or analytics outside UK/US audiences. Passion for global news and current affairs. If you can bring some of these skills and experience, along with transferable strengths More ❯
search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, naturallanguageprocessing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical More ❯
in AI, including new models and paradigms. Proficiency in Python. An understanding of deploying and monitoring such systems in a cloud environment. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers). Experience with naturallanguageprocessing, deep learning and generative AI. Nive to have: Building More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
TXP
in AI, including new models and paradigms. Proficiency in Python. An understanding of deploying and monitoring such systems in a cloud environment. Familiarity with tools for working with Large Language Models via API or in a local context (e.g. HuggingFace transformers). Experience with naturallanguageprocessing, deep learning and generative AI. Nive to have: Building More ❯
junior members of the department, helping them grow Experience Implementing machine learning in production using in-house or third-party data science platforms Building machine learning models; experience in NaturalLanguageProcessing, Time-Series prediction, Neural Networks and Recommendation Systems will be advantageous. You possess excellent communication skills, explaining complicated concepts to non-technical colleagues. Generating insights More ❯
search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, naturallanguageprocessing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical More ❯
search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, naturallanguageprocessing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical More ❯
