1 to 25 of 78 Natural Language Processing Jobs in London

R&D Engineer - NLP A brilliant opportunity for a R&D Engineer/Developer with strong Python skills to work in an established AI Research team for a highly prestigious organisation in London, UK. Offering fantastic career progression and the chance to work on cutting-edge projects to help accelerate … week in office Salary: £45,000 -£55,000 + £5,000 London waiting allowance + a comprehensive benefits package Requirements for R&D Engineer - NLP: 1+ years’ experience of working in an R&D/Software Development role Strong knowledge and a focus on Natural Language Processing … to work with autonomy and as part of a team Great communication skills with fluent spoken and written English Responsibilities for R&D Engineer - NLP: Develop and propose innovative solutions to technical problems Produce proto types to test system implementations Innovate, evaluate and create ideas to further enhance the technology more »

keenly seeking exceptional Software Engineers. This opportunity is perfectly suited for individuals with a visionary outlook, passionate about utilising the transformative capabilities of Large Language Models (LLMs) to redefine the digital product engineering landscape. About Our Client: Our client is revolutionising how software development teams utilise AI, providing an … your passion for AI to contribute to groundbreaking projects. Leverage your proficiency in languages such as Java, C++, or Python, and your interest in natural language processing and AI model development, to drive innovation. Collaborate closely with a team of like-minded professionals in a dynamic and … Software Engineering, bolstered by at least 3 - 10 years of relevant experience. Experience with Prompt generation systems or natural language processing (NLP) is highly desirable Proficiency in object-oriented programming languages and a strong interest in natural language processing and AI model development. A more »

including Microsoft Research, Azure, and Microsoft Turing. You will work as part of an organization that brings together talent in the areas of large language models, recommender systems, machine learning, deep learning, graph learning, information retrieval, software engineering, and responsible AI. We value and encourage diversity in the belief … Computer Science, Math, Physics, Statistics, or related areas. Candidates with master’s degree with industry experience or publication record in the areas of Large Language Models, Information Retrieval, Machine Learning, or Natural Language Processing are considered as well.Proficient years managing research or engineering teams in Machine … Learning, Natural Language Processing, Information Retrieval, or related fields.Professional experience developing AI models for scaled production services, with a proven track record of successfully shipping applied research to productionExcellent problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining more »

team in leveraging the power of AI to improve our products and services. Must have skills : Gen AI, Machine Learning algorithms, Deep Learning frameworks, Natural Language processing, Python working with the technologies who is good in building the AI models who generates GEN AI data modelling, python … degree preferred. * Proven experience in developing and deploying AI models in real-world applications. * Strong knowledge of machine learning algorithms, deep learning frameworks, and natural language processing techniques. * Proficiency in programming languages commonly used in AI development, such as Python. * Excellent problem-solving skills, with the ability more »

NLP Engineer London office 1-2 days per week £60,000 to £95,000 Salary + Bonus & Benefits OVERVIEW A great opportunity for an NLP Engineer/LLMs Engineer with solid experience in fine-tuning Large Language Models to join a strong FinTech scale-up with a high-calibre … team in place. Your responsibilities as an NLP Engineer/LLMs Engineer will include but not be limited to: Leverage Machine Learning/NLP techniques to build Large Language Models. Fine-tune Large Language models and optimise them through applied Machine Learning. Collaborate with a strong team of … Scientists/Engineers to deliver innovative and impactful work. YOUR SKILLS & EXPERIENCE A successful NLP Engineer/LLMs Engineer will have the following: Min. 3 years commercial experience in Natural Language Processing/NLP & ML. Strong coding skills in Python. Strong experience in fine-tuning Large Language more »

clearly to both technical and non-technical stakeholders through intuitive visualizations. Construct and optimize machine learning models, including Natural Language Processing (NLP) and Large Language Models (LLMs), for various use cases. Engage and collaborate with senior stakeholders across different teams and departments. Understand stakeholder requirements and … statistical modeling, machine learning, and data mining techniques. Familiarity with machine learning algorithms and frameworks such as scikit-learn and PyTorch. Experience with core NLP techniques and knowledge of LLMs is a plus. NEXT STEPS: If this role looks of interest, please reach out to Joseph Gregory more »

Present findings to both technical and non-technical stakeholders. Assist in building and refining machine learning models, including Natural Language Processing (NLP) and Large Language Models (LLMs). Work with senior team members across departments. Understand project requirements and provide regular updates on progress. Address stakeholder … process improvement and automation in data science and analytics. REQUIREMENTS: Strong communication skills, able to explain complex ideas clearly. Knowledge and experience in Large Language Models (LLMs) Ability to engage with stakeholders at different levels BSc or MSc in Data Science, Computer Science, Statistics, or related field Familiarity with more »

tensorflow) Experience with big-data technologies (Spark, Hadoop) or distributed computation frameworks (Dask, Modin) Hands on experience with Natural Language Processing (NLP) and Large Language Models (LLMs) Experience of creating and deploying microservices Knowledge of MLOps concepts (CI/CD, versioning, reproducibility, observability) and development best more »

drug discovery. Develop and deploy AI algorithms and models, including those for Large Language Models (LLMs) and Natural Language Processing (NLP). Oversee the creation of computational models for predictive analytics, target identification, and drug candidate optimization. Stay updated on AI advancements and their applications in more »

Scientist, you will play a pivotal role in advancing their AI-driven solutions, leveraging your expertise in Python, Natural Language Processing (NLP), AWS, machine learning, and MLOps. Key Responsibilities: Develop and deploy advanced machine learning models to extract insights from complex healthcare data. Utilise NLP techniques to … degree or PhD in Computer Science, Engineering, Statistics, or a related field. Extensive experience (5+ years) as a Data Scientist, with a focus on NLP, machine learning, and MLOps. Proficiency in Python and its libraries for data manipulation, analysis, and machine learning (e.g., scikit-learn, TensorFlow, PyTorch). Strong knowledge … of AWS services, particularly AWS Sagemaker, and experience working within an AWS environment. Experience with large language models (LLMs) and their applications is highly desirable. Solid understanding of software engineering best practices and the ability to write clean, maintainable code. Excellent communication skills and the ability to collaborate effectively more »

a relevant field, Demonstrated practical experience in machine learning techniques, supervised, unsupervised, and semi-supervised. Strong experience in natural language processing (NLP) and its applications. Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others more »

Azure might be considered if the rest of the experience aligns fully to the role requirements Experience with Natural Language Processing (NLP) and MLOps is a must Experience in healthcare, or health tech sector is ideal but not necessary If you are looking to work for a more »

highest delivery standards. The team works on research and implementation across various advanced domains, including AI, Machine Learning, Natural Language Processing (NLP), analytics, blockchain and more.Job Description:We're on the hunt for a highly skilled and experienced senior AI Engineering manager to lead a GenAI platform … unit. In this role, you'll be a key player in driving innovative projects throughout the bank, using generative AI and large language models. The ideal candidate has a track record in delivering AI products to production, and at scale, in domains of GenAI and classic AI.Your mission? To … technologies into our products and services.Stakeholder engagement: Work closely with business stakeholders across the bank to drive the adoption of generative AI and large language models (LLM), identifying opportunities for innovation and value creation.Regulatory compliance: Ensure that AI initiatives meet regulatory requirements while pushing the boundaries of technology innovation.Budget more »

related field, or equivalent work experience Preferred Qualifications Experience with financial data analysis and investment strategies Knowledge of natural language processing (NLP) techniques Previous work in a startup environment or fintech industry Join us in shaping the future of retail investing through cutting-edge AI technology. Apply more »

operations. Collaborating closely with T&L SMEs to develop a thorough comprehension of business/client obstacles and meticulously document project requirements. Managing data processing, cleansing, and validation procedures to ensure data integrity for project analysis, and actively seek out additional data sources when necessary. Conducting in-depth analysis … experienced using cloud services including Microsoft Azure. Demonstrable experience managing and converting unstructured datasets through the application of Natural Language Processing (NLP) and Generative AI techniques. Finally, you’ll love solving problems, be experienced in Machine Learning techniques, and you’ll be plugged in to emerging technologies. more »

a Big Data Expert with 2 to 5 years expertise as a Big Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and more »

be screened daily. Keywords: AI ML Artificial Intelligence Machine Learning Solutions Architect Deep Music DJ Integration Neural Network Natural Language Processing (NLP) Model more »

use cases across Group Job Description The AI Engineer position will be responsible to shape, create and integrate AI solutions with particular focus on Natural Language Processing, Large Language Models and Multi-Modal Generative AI. The candidate will be working alongside other members of the CoE … data capabilities. Qualifications Strong understanding and hands-on experience in various ML techniques and algorithms, including RAG, fine-tuning models and working with large language models. Mastery in Langchain and Python programming languages, essential for AI development and data manipulation tasks. Proficiency in handling and processing large datasets 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, Natural Language Processing, and Image Recognition.Are you passionate about driving customer success? Interested in learning about technologies that … years of technical lead experience* 2+ years of experience in hiring, developing and evaluating performance of engineers.* Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby, Shell* Experience tools for automation (building, testing, releasing or monitoring)* Ability to understand, troubleshoot and … describe complex technical processes and issues * Clear and effective communication & documentation skillsPreferred qualification * Knowledge of and proficiency in the use of Python scripting language* Experience on highly concurrent, high throughput systems and knowledge of complex distributed systems* Knowledge of AWS services and concepts* Experience in influencing other teams internally more »

Data. The best-matched Senior Data Scientist would have the following experiance: Tech stack: Python, scikit-learn, pandas, Tensorflow, Pytorch, SQL, AWS Experiance in Natural Language Processing Experiance with AWS Master’s or PhD in Computer Science, or a related field, with a focus on AI/ more »

operate closely with business and Datascience experts coveringBusiness sectors including Energy & Utilities, Banking, Insurance, Healthcare, Defence, Technology, and others.AI technologies: Machine Learning, Time series, Natural Language Processing, Generative AI, Computer Vision, Operational Research, Engineering, Data Marketing, Data Analytics(For more information about our Data Science practice, visit more »

related discipline; advanced degree preferred. Demonstrated success in designing and delivering AI solutions within the insurance domain , with hands-on experience across predictive modeling, natural language processing, computer vision, and reinforcement learning. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud more »

which enables searching through half a million pages documenting climate action, by government, worldwide. Harnessing data science and AI, and pioneering the application of natural language processing to this domain, our work unlocks previously inaccessible, unstructured data. This serves to enhance accountability, and promote data democratisation, transforming … supporting data partners in curating large libraries of climate-related documents. Building out our “virtual research assistant” roadmap ambition, including leveraging and productionising large language models to help researchers analyse data. You will be working in a tech team using a diverse tech stack including: Backend: Python, FastAPI, PostgreSQL more »

Engineering, Mathematics, or a related discipline Demonstrated success in designing and delivering AI solutions within the insurance domain , Hands-on experience across predictive modelling, natural language processing, computer vision, and reinforcement learning. Proficiency in ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms more »

libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration more »