1 to 25 of 69 Natural Language Processing Jobs with Remote Work Options

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 »

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 »

Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading NLP (natural language processing) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented … the design of projects chosen to make an impact on our bottom line. Working in a team alongside Product, Front-end, Back-end and NLP Engineers, you will share accountability for developing the best solutions for users in the timeframe allocated. You’ll work closely with the Development Team during … requirements, we’d still like to receive your application. Benefits This is a great opportunity to work at the cutting edge of Artificial Intelligence, Natural Language Processing and software development. Alongside a competitive salary, we also offer: 34 days holiday (inc bank holidays) plus your birthday off 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 fluency in Python are essential. Extra points for cloud computing acumen (AWS, GCP), Docker skills, and familiarity with platforms 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 »

learning models. Collaborating closely with our development team, you'll be instrumental in packaging our software into containerized releases. Your projects will span Large Language Models (LLMs) and Computer Vision (CV), with a primary focus on extracting information from financial and business documents for subsequent processing. Operating within a … deployment - Proficiency in the mathematical foundations of ML, including Linear Algebra and Statistics - Familiarity with modern CV and Natural Language Processing (NLP) techniques - Creating and configuring containerized ML applications with Docker - Proficient programming skills in Python - Scripting on Linux systems using Bash and Python - A fearless approach 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 »

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 »

have experience or interest in all things AI then this is the role for you! Skills: Node React AWS Express Mongo Desired: AI experience Natural Language Processing Large Language Models Location: Full Remote (must have full rights to work in the UK. No sponsorship) Salary: variable more »

widespread operations in UK/Sweden and many more countries, we seek an exceptional AI Consultant with extensive experience. Roles & Responsibilities: · Design and implement natural language processing algorithms and machine learning models to develop and optimize language models for the AI initiatives · Perform data preprocessing, cleaning … metrics and iterate on model architecture and hyper parameters to improve accuracy and efficiency. · Design and implement scalable, efficient systems for deploying and serving language models via web services or APIs. · Understanding telecom domain and use cases Required Skills and Experience: · Proven experience in developing and deploying language … BERT, GPT, etc.). · Proficiency in programming languages such as Python, with experience in data manipulation, model training, and software development. · Strong understanding of NLP techniques, including text preprocessing, tokenization, part-of-speech tagging, named entity recognition, and sentiment analysis. · Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch 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 »

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 »

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 »

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 »

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 »

AI advancements, and a desire to explore innovative solutions under mentorship and guidance. Desirable: Exposure to courses related to Artificial Intelligence, Machine Learning, or Natural Language Processing Familiarity with frameworks like Express.js, Flask, or NestJS Familiarity with libraries like TensorFlow, PyTorch, or scikit-learn Basic understanding of 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 »

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 »

high-impact AI applications within our offerings, crafting scalable technological frameworks. Maintain an unwavering commitment to professional growth , mastering the latest in Generative AI, Natural Language Processing, and Deep Learning. Mentor and coach junior engineers to enhance their technical skills, fostering a culture of continuous learning and … native AI/ML solutions Proficiency in data pipeline orchestration across hybrid environments, leveraging the latest in Azure and allied technologies. Expertise in data processing with tools like Spark or Dask, and fluency in Python, Scala, C#, or Java. Expertise in DevOps and CI/CD automation , ensuring seamless more »

of structured and unstructured data, including integration of data through Azure cloud-based ingestion and curation processes. Knowledge of data mining, machine learning, and natural language processing is considered advantageous. Familiarity with Agile methodologies and participation in Scrum ceremonies. Competence in designing and constructing solutions tailored for more »

of structured and unstructured data, including integration of data through Azure cloud-based ingestion and curation processes. · Knowledge of data mining, machine learning, and natural language processing is considered advantageous. · Familiarity with Agile methodologies and participation in Scrum ceremonies. · Competence in designing and constructing solutions tailored for 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 »