1 to 25 of 69 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 »

for a talented and collaborative colleague, who wants to make a difference. The postholder will work with clinical, data and academic teams to use Natural Language Processing techniques on free-text combined with Electronic Health Record datasets to build a predictive geographical map of heart disease in … Specification Experience Essential A PhD or masters with equivalent professional experience in a field with relevance to health data science/Epidemiology Experience in natural language processing and AI Expertise building statistical models, use of machine learning using Python libraries, and MLOps tools Experience mining and analysing 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 »

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 »

driven solutions. 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. Cultivate a culture of innovation, collaboration, and continuous learning within the machine learning 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 »

environment. Strong programming skills in Python. Experience in building and evaluating production-ready machine learning models. Experience with Natural Language Processing (NLP) techniques. Experience working with real-world datasets formed by unstructured data. Solid understanding of fundamental concepts of data science. Experience working with Numpy and PyTorch. … Experience working with cloud environments is not essential, but it would be beneficial. Experience with Large Language Models is highly desirable. Ideal Characteristics Excellent analytical skills and attention to detail Hard-working, responsible Loves learning and gets things done Good communication skills working within a team About WiseTech Global 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 »

LLM-based solutions for task automation, workflow optimization, and system efficiency improvement. Collaborate with data scientists and engineers to deploy LLM-powered applications for NLP, sentiment analysis, and content generation. Stay informed on LLM technology advancements to address business challenges. Architect and maintain cloud infrastructure on Google Cloud, AWS, Azure … CircleCI, or similar tools. Implement monitoring systems to proactively identify and resolve pipeline issues and bottlenecks. Design and maintain cloud infrastructure for data storage, processing, and analysis. Implement security best practices to safeguard data integrity and confidentiality. Ensure compliance with security standards across all infrastructure components. QUALIFICATIONS Bachelor's … building and maintaining data pipelines using tools like Apache Kafka, Google Cloud Dataflow or similar frameworks. Knowledge of natural language processing (NLP) techniques and frameworks, with experience working with LLMs. Experience with cloud platforms (Google Cloud, AWS, Azure) and proficiency in infrastructure as code tools such as 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 »

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 »

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 »

Demonstratable experience developing & delivering Machine Learning strategies Experience with big data ecosystems, cloud infrastructure and analytic frameworks Techniques and toolkits for data cleansing, data processing and data preparation Any experience with techniques and toolkits for combining data or analysing data streams would be desirable TO BE CONSIDERED…. Please … look forward to hearing from you. MACHINE LEARNING ENGINEER KEY SKILLS: PRINCIPAL DATA SCIENTIST/LEAD DATA SCIENTIST/MACHINE LEARNING/ML/NLP/NATURAL LANGUAGE PROCESSING/DEEP LEARNING/DATA SCIENCE/LSTM/LONG SHORT TERM MEMORY/CNN/COGNETIVE NEURAL more »

generative models, segmentation, object detection, classification, model optimisations Experience working with machine learning frameworks such as PyTorch, TensorFlow or Keras Experienced with foundational Large Language Models (LLMs) APIs Experience in LLMs quantitative analysis Exposure to MLOps practices Familiarity with version control systems (e.g. Git) and agile development methodologies Preferred … Qualifications Masters or advanced degree in artificial intelligence, machine learning, natural language processing, computer vision, or related field 3+ years experience writing production ready code Prior experience with AWS Cloud stack (SageMaker, EC2, Lambda, S3, RDS) Benefits Competitive salary Remote working Participation in our share option scheme 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 »

across the full extent of the NHSCFA and our wider stakeholders in pursuit of the above. Your primary responsibilities will include developing data pipelines, processing data, and preparing data suitable for analysis. Additionally, you will evaluate, maintain, and manage data pipelines, develop and maintain data models, and support the … tools. Build data pipelines that clean, transform, and present granular and aggregate data from disparate sources. Design, build, test, automate, and maintain architectures and processing workflows. Plan, develop and evaluate methods and processes for gathering, extracting, transforming and cleaning data and information. To undertake development of the data warehouse … working alongside NHSCFA specialists. Write ETL (extract, transform, load) scripts and code to ensure the ETL process performs optimally. Define and document the pre processing steps, data wrangling techniques and feature engineering undertaken on a given dataset. Design and maintain robust processes to ensure NHSCFA and external stakeholder datasets 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 »

release. What you'll Do: Work closely with product teams to help identify and evaluate potential harmful bias in technologies such as Big Data, Natural Language Processing, Deep Learning, Classification, GANS, and Generative AI. Research, evaluate, and propose harmful bias mitigation techniques for product teams. Prototype evaluation more »

some of the following: Networking (DNS, TCP/IP, HTTP, CDN, and VPC) Containerization and DevOps Tools Security Artificial Intelligence, including ML, RPA and Natural Language Processing Commercial experience with Event Driven Architectures Ability to architect applications in AWS/Azure using a wide array of AWS more »

an ultimate legal AI platform. You will lead the R&D function's efforts in leveraging advanced data science techniques, particularly focusing on Large Language Models (LLMs), to drive innovation and pioneer cutting-edge legal technology products. You will play a crucial role in shaping and executing our client … a deep understanding of the legal industry. Proven experience leading teams of data scientists across diverse projects. Extensive expertise in data science, particularly in natural language processing, LLMs, search, and retrieval. Track record of successfully leading R&D projects from concept to productization. Proficient in communicating technical more »

or tech-driven environments. Strong leadership skills, proven in building and managing high-performing AI teams. Deep understanding of AI technologies including machine learning, natural language processing, and computer vision. Track record of driving business impact through AI initiatives with focus on client outcomes. Excellent communication and more »