1 to 25 of 139 Natural Language Processing Jobs

Senior Data Scientist (NLP) Natural Language Processing - Neuroscience & Mental Health Location: Oxford (Hybrid twice a week) Salary: £55,000 - £65,000 Are you passionate about leveraging Natural Language Processing (NLP) to advance understanding of neuroscience and mental health? Join a leading biotech scale-up … based in Oxford, where cutting-edge NLP technologies meet the complexities of neuroscience and mental health. We are seeking a talented Senior Data Scientist with a focus on NLP to drive our research and innovation to the next level. About Us: My client are a pioneering biotech start-up at … for mental health challenges. You will join a interdisciplinary team collaborating to explore the intricacies of the brain and create data-driven approaches utilising NLP to revolutionize treatments and interventions. Key Responsibilities: Lead and manage a team of Data Scientists and healthcare data analysts, providing mentorship, guidance, and support in more »

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 »

businesses use artificial intelligence (AI) by understanding their needs, designing AI solutions, and implementing those solutions. BJSS AI specialists have expertise in machine learning, natural language processing, and other AI technologies. The successful candidate will provide: Expertise in machine learning, natural language processing, and other AI technologies : possess in-depth knowledge and hands-on experience in machine learning, natural language processing (NLP), and other relevant AI technologies. Be familiar with various algorithms, frameworks, and tools used in these areas, including cloud-based AI services. This expertise enables 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 »

a proven track record of delivering high-quality code. Familiarity with Python libraries essential for Machine Learning and Natural Language Processing (NLP), such as NumPy and pandas. A deep understanding of Natural Language Processing (NLP) principles and methodologies. Hands-on experience in utilizing open … source Hugging Face models and fine-tuning Language Models (LLMs) to achieve project objectives. What's in it for you Salary of up to £60,000 dependent on experience The opportunity to work remotely, providing flexibility and autonomy in your work-life balance. Access to cutting-edge technologies and more »

to a diverse range of industries across the UK. We are searching for a talented and experienced Machine Learning (ML) Engineer, specifically in the Natural Language Processing area, implementing LLM, RAG, knowledge graphs, and multi-agents, who can be part of our energetic, friendly, driven, and focused … of experience in machine learning or AI research and development, with a portfolio of projects demonstrating expertise in Natural Language Processing (NLP), Large Language Models (LLM), Retrieval Augmented Generation (RAG), Named Entity Recognition (NER), and Chatbot Development. Deep knowledge of Generative AI, LLMs, Transformers. Familiarity with more »

Continuous Integration and Continuous Delivery (CI/CD), Test-Driven Development (TDD), SDLC, etc. Developing machine learning models (PyTorch or TensorFlow) Working with Large Language Models (e.g GPT, PaLM, Llama) Strong background in either Python/Typescript Familiarity with Retrieval Based Augmentation concepts Experience with Vector Databases Experience using … and leveraging search interfaces Experience with modern application architecture methodologies (Service Orientated Architecture, API-Centric Design, Twelve-Factor App, FAIR, etc.). Familiarity with natural language processing or AI technologies (e.g LLMs such as ChatGPT or BARD, Embeddings, Prompt Engineering) Experience with machine learning, data pipelines and … in new database technologies such as vector databases advantageous Strong background in either Python/Typescript Knowledge of natural language processing (NLP) and computer vision techniques for advanced automation and generative AI applications.(e.g SpaCy, NLTK, or Hugging Face). Experience supporting digital platforms, including Integrations, Release more »

Senior NLP Engineer Remote Salary Negotiable Key Skills: Python, NLP experience and deploying NLP systems The Senior NLP Engineer is responsible for developing AI Labs’ NLP/machine learning platform. In this role, they will write, test, and release code and internal libraries according to the NLP roadmap and release … plans. They will work collaboratively with the Head of Machine Learning Product, application engineering, data science and NLP Tech Lead to set the overall vision, goals, and execution plan. They will also be consulted by customer-facing project leads and data science in the analysis of customer data and development … of NLP models to address clinical or business use cases. Skills Machine Learning, Natural Language Processing (NLP), Deep Learning, building and deploying NLP systems Strong CS fundamentals including data structures, algorithms, and distributed systems Proficiency in statistical NLP algorithms, including transformers, graphical models, and information retrieval techniques 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 »

trustworthy solutions that shape tomorrow. Your Role: As a Machine Learning Engineer, immerse yourself in the realm of Natural Language Processing (NLP) and Large Language Models (LLMs). From refining OSS language models to orchestrating dataset preparation and deployment on cutting-edge NLP pipelines, your … canvas is cloud infrastructure. What We Value: Bring your expertise in machine learning, NLP, and deep learning to our table. Command of PyTorch, proficiency in large-scale dataset processing, and a fluency in Python are essential. Extra points for cloud computing acumen (AWS, GCP), Docker skills, and familiarity with more »

work closely with cross-functional teams, including data engineers, software developers, and domain experts, to drive advancements in a range of technologies including Large Language Models, Process Mining and Graph Databases. Key Responsibilities Research, design, and implement machine learning models to solve business challenges. Work closely with software developers … Excellent problem-solving and critical-thinking skills. Preferred Qualifications Experience with deep learning techniques and architectures. Familiarity with natural language processing (NLP) and Large Language Models (LLMs). Knowledge of distributed computing and cloud platforms (AWS, Azure, or Google Cloud). Research experience in Graph Neural 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 »

We work with a wide variety of datasets of all scales, including an always-growing archive of 8 billion news articles in (nearly!) every language in the world going back over 30 years, sanctions and watchlist data provided by governments, plus 250 million organisations and ownership data from global … on a daily basis to help our customers detect financial crime and other risks will include: Entity Resolution, Natural Language Processing (NLP) techniques, Neural Networks, Large Language Models and Visual Analytics. You will therefore need to be able to pick up new ideas and concepts quickly … fill any gaps): Excellent communicator and able to represent Ripjar to current and prospective customers Strong software engineering experience in at least one programming language (Python preferred) and version control practices, as well as being familiar with standard data science tools (e.g numpy, pandas, sklearn, visualisation packages) Working knowledge 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 »

research and develop deep learning models for predicting financial markets, including but not limited to time series forecasting, natural language processing (NLP), and image analysis. Collaborate with portfolio managers and traders to identify alpha-generating strategies and optimize trading algorithms. Stay abreast of the latest developments in more »

Machine Learning Lead Are you enthusiastic about leading a team to develop groundbreaking Natural Language Processing (NLP) solutions for intricate challenges? Our client are looking to spearhead the creation of cutting-edge NLP systems that are poised to redefine the landscape of work in the future! Job … capabilities. Additionally, you'll be tasked with effectively communicating technical concepts to non-technical stakeholders. Qualifications: Proficient in machine learning with a focus on NLP Demonstrated experience leading Data Science and ML projects from research to operational deployment Adept at problem-solving with a customer-centric approach Entrepreneurial mindset with … a passion for developing ethical AI solutions Excellent communication skills, capable of simplifying complex technical concepts Experience implementing cutting-edge NLP research and working with large datasets and distributed computing frameworks Familiarity with Azure, AWS, or GCP Startup Mindset: To thrive in our environment, you should be proactive, adaptable to 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 »

machine learning models in production. - Familiarity with cloud platforms, particularly AWS. - Knowledge of data visualization tools. - Exposure to natural language processing (NLP) or computer vision. 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 »

to recruit a Data Scientist with 7 to 10 years expertise as a 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 »

a Big Data Expert with 7 to 10 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 »

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 »