1 to 25 of 61 Natural Language Processing Jobs with Hybrid or WFH Options

NLP) Natural Language Processing Engineer - 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 NLP Engineer 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 the forefront … 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 »

Job title: Senior NLP Engineer Reporting to: Technical Lead Location: Edinburgh/Remote (within the UK) Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) expertise with deep financial services … and compliance outcomes. Purpose of the role Aveni is in its high growth phase, and we currently have an excellent opportunity for a Senior NLP Engineer to join us to drive innovative projects forward and solve complex industry problems along the way. Joining at an extremely exciting time for the … the application of Natural Language Processing to Financial Services in the UK. Key responsibilities We are looking for an enthusiastic, experienced NLP Engineer who is keen to shape an exciting project with huge commercial potential. The successful candidate will work on the development of a family of 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 »

Job title: Lead NLP Engineer Reporting to: Head of Labs Location: Edinburgh/Remote (within the UK) Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) expertise with deep financial … and compliance outcomes. Purpose of the role Aveni is in its high growth phase, and we currently have an excellent opportunity for a Lead NLP Engineer to join us to drive innovative projects forward and solve complex industry problems along the way. Joining at an extremely exciting time for the … this role will play a pivotal role in our ambition to deliver across multiple transformational projects. Key responsibilities We are looking for a Lead NLP Engineer to lead a project that will revolutionise the application of NLP within Financial Services in the UK. Your main task will be leading 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. MLOps What's in it for you Salary of up to £75,000 dependent on experience The opportunity to work remotely, providing flexibility and autonomy in your work-life balance. Access to cutting-edge technologies 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 »

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 »

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 »

experience: Previous experience in developing AI-powered applications Strong background in AI and machine learning concepts Familiarity with natural language processing (NLP) and related technologies Experience in API integration for AI capabilities Exposure to some JavaScript technologies or Python would be advantageous Knowledge of data security and 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 »

and areas for improvement within the sales function. Collaborate with cross-functional teams to develop and execute an AI strategy that leverages machine learning, natural language processing, computer vision, and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques, such 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 »

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 »

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 »

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 developing cutting-edge AI-powered messaging solutions. 💬🔍 You'll collaborate with a diverse team of experts to enhance ChatGPT's capabilities, enabling more natural and intelligent conversations. 🧠💬 Requirements • Proven experience in software development, with a focus on AI technologies • Proficiency in programming languages such as Python, Java, or … C++ • Strong understanding of machine learning algorithms and natural language processing techniques • Proficiency in full stack coding languages (preferably), or backend coding • Experience working on large-scale system • Experience in independently developing and releasing changes to production • Strong analytical skills • Bachelor's degree in Computer Science, Computer 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 »

search, data integration, robust transactional systems, backtesting, and their related services. Our services span real-time analytics, ETL processes, backtesting trading strategies, live trading, natural language processing, and our platform/user interface. In your role as an SRE you will focus on scalability and reliability from … Extensive experience and deep understanding of infrastructure as code (Terragrunt/Terraform). Strong understanding of Docker, Kubernetes, Linux and data pipelines and stream processing tools. Experience with both on-premise/colocated servers as well as cloud infrastructure, and hybrid deployments spanning both types of environments. Experience with … observability platforms (e.g., DataDog) and alarm systems (e.g., PagerDuty) >Nice to have< Coding background in at least one language (Node, JavaScript, Python, C++, etc) Understanding of mesh networking with Kubernetes clusters (Istio, Linkerd, or similar), ArgoCD Familiarity managing and configuring services that rely on: Git, S3, SQL, Mongo Familiarity more »