1 to 25 of 63 Natural Language Processing Jobs in the UK with Remote Work Options

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 »

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 »

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 »

technologies and respective Transformation Programs, e.g. Data Stratgy, Data Governance, Data Management, Data Preparation, Data Architecture, Data Engineering, Data Analytics, Data Science, Neural Networks, Natural Language Processing, Large Language Models, AI inferencing, AI training methodologies, key application architecture and integration concepts, container- and virtualization architetctures and 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 »

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 »

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 »

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 »

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 »

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 »

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 »

data science projects. Proficiency in programming languages such as Python or R, and extensive experience with ML algorithms and Models. (Regression, Tree based, Unsupervised, NLP, open-source models). Experience with other Azure cloud services like Azure ML studio, Azure functions, Azure Pipelines, Mlflow, Promptflow, Azure OpenAI, Azure Synapse Analytics more »