in Technical Problem-Solving. Exhibit your proficiency in identifying and addressing critical bottlenecks, particularly in challenging domains like NaturalLanguageProcessing (NLP) and large-scale AI models. Your ability to pinpoint and resolve these key issues is vital, propelling the evolution of our software architecture to new More ❯
in Technical Problem-Solving. Exhibit your proficiency in identifying and addressing critical bottlenecks, particularly in challenging domains like NaturalLanguageProcessing (NLP) and large-scale AI models. Your ability to pinpoint and resolve these key issues is vital, propelling the evolution of our software architecture to new More ❯
in Technical Problem-Solving. Exhibit your proficiency in identifying and addressing critical bottlenecks, particularly in challenging domains like NaturalLanguageProcessing (NLP) and large-scale AI models. Your ability to pinpoint and resolve these key issues is vital, propelling the evolution of our software architecture to new More ❯
passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's • Fundamental knowledge of ML, and basic knowledge of AI, NLP, and Large Language Models (LLM) • Comfortable working with Python and Jupyter Notebooks • Should have in-depth knowledge and familiarity with cloud platforms like Amazon … Cloud Platform (GCP), and Microsoft Azure. Technical Skills – Good to have: • Expertise in any one framework (TensorFlow, Pytorch, Keras) • Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and naturallanguageprocessing … knowledge on API’s & Integrations, Patterns. • Extensive knowledge of big data technologies • Knowledge on Statistical Methods • OTHER SKILLS WE'D APPRECIATE 1. Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc. EDUCATION QUALIFICATION • Graduate in Engineering OR master’s in computer applications. Process Skills: • General SDLC processes • Understanding of More ❯
passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's • Fundamental knowledge of ML, and basic knowledge of AI, NLP, and Large Language Models (LLM) • Comfortable working with Python and Jupyter Notebooks • Should have in-depth knowledge and familiarity with cloud platforms like Amazon … Cloud Platform (GCP), and Microsoft Azure. Technical Skills – Good to have: • Expertise in any one framework (TensorFlow, Pytorch, Keras) • Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and naturallanguageprocessing … knowledge on API’s & Integrations, Patterns. • Extensive knowledge of big data technologies • Knowledge on Statistical Methods • OTHER SKILLS WE'D APPRECIATE 1. Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc. EDUCATION QUALIFICATION • Graduate in Engineering OR master’s in computer applications. Process Skills: • General SDLC processes • Understanding of More ❯
stakeholders while maintaining flexibility. What makes this opportunity distinctive: The work involves deploying models into live financial environments rather than experimental prototypes, with systems processing millions of transactions weekly The organisational structure is deliberately flat, enabling engineers to contribute ideas directly to technical leadership without bureaucratic barriers Career progression … models using Python frameworks such as TensorFlow or PyTorch Practical knowledge of generative AI tooling including Hugging Face transformers and LangChain orchestration Specialisation in naturallanguageprocessing and large language models, covering training methodologies, deployment strategies and optimisation techniques Familiarity with containerisation and orchestration technologies including More ❯
stakeholders while maintaining flexibility. What makes this opportunity distinctive: The work involves deploying models into live financial environments rather than experimental prototypes, with systems processing millions of transactions weekly The organisational structure is deliberately flat, enabling engineers to contribute ideas directly to technical leadership without bureaucratic barriers Career progression … models using Python frameworks such as TensorFlow or PyTorch Practical knowledge of generative AI tooling including Hugging Face transformers and LangChain orchestration Specialisation in naturallanguageprocessing and large language models, covering training methodologies, deployment strategies and optimisation techniques Familiarity with containerisation and orchestration technologies including More ❯
AI-driven solutions. Design, develop, and deploy AI models and algorithms tailored to client needs. Provide technical expertise in AI technologies, including machine learning, naturallanguageprocessing, and computer vision. Conduct data analysis and pre-processing to prepare datasets for AI model training. Implement AI models More ❯
The AI Domains org within the Alexa Conversational Assistants Services (CAS) org is looking for an Applied Science Manager with a background in NaturalLanguageProcessing, Machine/Deep Learning, and Large Language Models (LLMs). You will be working with a team of Applied and … machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - 5+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - Experience building complex highly-scalable systems that involve predictive models or applications of machine learning - Familiarity with large-scale data processing … especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers - PHD and Experience with building applications using Large language models - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience with popular deep learning frameworks - Experience with learning multimodal More ❯
AI-driven solutions. Design, develop, and deploy AI models and algorithms tailored to client needs. Provide technical expertise in AI technologies, including machine learning, naturallanguageprocessing, and computer vision. Conduct data analysis and pre-processing to prepare datasets for AI model training. Implement AI models … date with the latest advancements in AI, data science, and cloud technologies. Skills & Experience Required ✅ Hands-on experience with Generative AI models or large language models (LLMs), including training, fine-tuning, and prompt engineering. ✅ Proficiency in programming languages such as Python, R, and Java. (Python is a must have More ❯
efficiencies and automation. This role is based in an AI/ML team that is already working on projects involving Generative AI, Information Retrieval, NLP/NER/RE, document classification and data science, and has won awards and recognition for its work. The team's future projects will be … based applications. LLM fine-tuning, including preparation of training sets from internal data Agent based applications Evaluating use-case specific LLMs AI/ML NLP: Named Entity Recognition across a variety of unstructured data. Evaluating and training BERT-like models such as GLiNER, NuNER for NER tasks. Analysing trade-offs … between these models and LLMs for NLP tasks. Relationship Extraction: Evaluating different models for use-case specific RE, such as ATG. Document and text Classification Data Science: Data clustering algorithms, feature engineering Evaluate and integrate new technologies and models. Cross-team collaboration, identifying innovations and architecting solutions. Provide leadership and More ❯
and maximize their impact on the Amazon top-line, all the while continuously growing the overall selection. We develop and apply technologies spanning parallel processing, storage, Machine Learning, NaturalLanguageProcessing, and Image Recognition. You will be part of Services Support Team under Catalog Support and … catalog engineering teams. BASIC QUALIFICATIONS Bachelor's or Master degree in Engineering or related field. Knowledge and experience in at least one modern programming language such as C, C++, Java, or Perl. Experience building tools for automation (building, testing, releasing or monitoring). 1+ years of DevOps or SysOps More ❯
and maximize their impact on the Amazon top-line, all the while continuously growing the overall selection. We develop and apply technologies spanning parallel processing, storage, Machine Learning, NaturalLanguageProcessing, and Image Recognition. You will be part of Services Support Team under Catalog Support and … catalog engineering teams. Minimum Qualifications Bachelor's or Master degree in Engineering or related field. Knowledge and experience in at least one modern programming language such as C, C++, Java, or Perl. Experience building tools for automation (building, testing, releasing or monitoring). 1+ years of DevOps or SysOps More ❯
Principal Applied Scientist, Alexa Conversational Modelling Intelligence DESCRIPTION You will be responsible for defining key research directions focusing on LLMs, adopting or inventing new NLP techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those … in traditional programming languages (Python, Java, etc.). Excellent written and spoken communication skills. PREFERRED QUALIFICATIONS 10+ years of experience building and deploying innovative NLP solutions at scale. Expert level skills focusing on Large-language-Models. Demonstrated experience in training LLMs through PT, SFT, and LHF backed by top … tier publications. Published research work in academic conferences or industry circles in NLP top tier conferences. Experience delivering complex end-to-end global NLP solutions that run at very large scale. Experience working with real-world data sets and building scalable models from big data. Thinks strategically, but stays on More ❯
by digital consumer data sources. Through your proactive research, and driven by your passion for data science, you'll surface the latest AI and NLP innovations, connecting the dots with Curve's use cases to propose novel solutions to our most challenging problems. You'll work on a mix of … We are looking for a passionate and ambitious data scientist, enthusiastic about continuously learning through exploring and experimenting with trends in data science and NLP, with a keen interest in applying innovative approaches to digital consumer data sources for the benefit of Curve and our clients. WHAT YOU'LL BE … innovative data science models and prototypes in Python, from scratch Proactively research, experiment with, and share the latest trends in data science, AI and NLP Translate unstructured business problems into clear requirements Interrogate and data mine rich digital consumer data sources such as social posts, search engine data, product reviews More ❯
Opportunity To meet these challenges, the CMT team is looking for passionate, talented and innovative scientists looking to work on cutting edge technology, from NaturalLanguageprocessing to optimization to image processing and LLMs. In addition to getting the opportunity to participate in research in several More ❯
based solutions to deploy scalable AI systems. Key Responsibilities: Develop and implement AI and machine learning solutions to address business challenges. Utilize expertise in NaturalLanguageProcessing, Computer Vision, and advanced analytics to create AI-driven applications. Stay up to date with emerging AI trends, ensuring the More ❯
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 … 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 processing) for enterprise environments Knowledge of advanced AI agent frameworks and architectures such as ReAct for building more effective autonomous agents for complex property management workflows and decision-making processes Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch), LLM orchestration tools (LangChain, LangGraph), MLOps More ❯
Chelmsford, Essex, United Kingdom Hybrid / WFH Options
BAE Systems (New)
team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues … We are looking for candidates who are adaptable, enthusiastic and highly motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of … support tasks. In addition to a solid academic background and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in More ❯
team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues … We are looking for candidates who are adaptable, enthusiastic and highly motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of … support tasks. In addition to a solid academic background and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in More ❯
Chelmsford, Essex, United Kingdom Hybrid / WFH Options
BAE Systems Applied Intelligence
team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues … We are looking for candidates who are adaptable, enthusiastic and highly motivated. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of … or Neuro-Symbolic AI. NaturalLanguageProcessing, including Information extraction, text-mining and entity linking. Experience with modern (e.g. transformer-based) NLP models is desirable but not essential. Application of LLMs to Defence problems. The taxonomy of Graph Machine Learning tasks and experience in using graph ML More ❯
Minimum Qualifications: Proven experience in a data science or AI-related role, preferably within a creative or marketing agency. Deep understanding of machine learning, naturallanguageprocessing, and other AI techniques. Strong data analysis skills, with experience using tools like SQL, Python, R, and data visualisation platforms. More ❯
and ensuring reliable performance. You'll collaborate with data scientists, engineers, and domain experts to address real-world challenges across various domains, such as naturallanguageprocessing, recommendation systems, and computer vision. Main Missions: Collaborate with data scientists, product managers, and other stakeholders to understand project requirements. More ❯
investment bank Experience of web based development and visualisation technology for portraying large and complex data sets and relationships Experience of machine learning techniques, naturallanguageprocessing and related libraries and frameworks e.g. scikit-learn, Tensorflow Personal Attributes Strong academic record and a degree with high mathematical More ❯
over 20 years and have raised over $300 million through their academic research, including a $110 million grant focused on development work on large language models in medicine. Pangaea's AI platform, PALLUX, is configured on clinical guidelines to find more untreated (undiagnosed, miscoded, at-risk) and under-treated … the software product and collaboration with the clinical and scientific team. A strong software engineering background and knowledge in AI, especially Machine Learning and NaturalLanguageProcessing, is essential. For the right candidate, this is a senior technical position with scope to grow into a leadership role. … is a plus. Experience with research communities and/or efforts, including having published papers (being listed as author) at AI/ML/NLP/CV conferences (e.g. Bio-IT, NeuraIPS, ICML, ICLR, ACL, CVPR and KDD) and journals. Experience and knowledge of deploying AI and Data solutions for More ❯
