76 to 100 of 111 Natural Language Processing Jobs in the UK

sales and motivated (we have uncapped commissions) . Alexandria Technology uses Artificial Intelligence to read financial documents to identify market moving information. Our advanced NLP engine sets us apart from industry competitors, providing higher accuracy and stronger performance. We offer investment professionals a significant information advantage, leading to higher alpha more »

brilliant data scientists, and alongside our superb data engineers, and data analysts. What will you be doing : Applying natural language processing (NLP) techniques (including applications of localised large language models - LLMs) to free text data. For example, what features can we construct from content provided by … the skills to evaluate solution suitability e.g., Silhouette Score. Confident in the skills needed to deploy deep learning, ideally through Tensorflow, including transformer architectures. Natural language processing capabilities, including skills in sentiment analysis and using and localising large language models (transformers), ideally through the Hugging Face more »

the UK) 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 … our platform across advised services. Key responsibilities Collaborate closely with peers in our remote cross functional team of Engineers, Product Owner, UX Designers and NLP Engineers Design and deliver well tested, robust platform services and pipelines Contribute to the continual improvement of the scalability, security and observability of our platform … skill sharing and mentoring to raise the skills in the team Ideally experience working in a multi-tenant SaaS start-up environment Interest in NLP and Machine learning As we are a small team, willingness to work across the stack when needed with React experience would be beneficial Benefits This more »

Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use cases such as natural language processing, computer vision, doc intelligence etc Experience in working with large and complex datasets, data pipelines, data pre-processing, and feature engineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models Prompt more »

Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use cases such as natural language processing, computer vision, doc intelligence etc Experience in working with large and complex datasets, data pipelines, data pre-processing, and feature engineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models Prompt more »

Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use cases such as natural language processing, computer vision, doc intelligence etc Experience in working with large and complex datasets, data pipelines, data pre-processing, and feature engineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models Prompt more »

Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use cases such as natural language processing, computer vision, doc intelligence etc Experience in working with large and complex datasets, data pipelines, data pre-processing, and feature engineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models Prompt more »

Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use cases such as natural language processing, computer vision, doc intelligence etc Experience in working with large and complex datasets, data pipelines, data pre-processing, and feature engineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models Prompt more »

or computer vision systems in an industrial environment Experience with time-series data and correlation Understanding of multiple Machine Learning disciplines, such as Image Processing, Computer Vision, Signal Processing, Natural Language Processing, Pattern Recognition etc. Experience with Docker and Google Suite including Google Cloud Platform … Experience with DevOps tools such as experiment tracking, automation, dataset versioning, etc. Excellent data processing capabilities using tools such as Python, Excel, Google Suite About you: You have good interpersonal skills and are prepared to collaborate in a team to refine solutions Natural curiosity to explore unexplored Perseverance more »

be screened daily. Keywords: AI ML Artificial Intelligence Machine Learning Solutions Architect Deep Music DJ Integration Neural Network Natural Language Processing (NLP) Model more »

be screened daily. Keywords: AI ML Artificial Intelligence Machine Learning Solutions Architect Deep Music DJ Integration Neural Network Natural Language Processing (NLP) Model 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 »

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 »

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 »

valuable areas for the business. Requirements: degree in STEM field or equivalent. Advanced degree preferred but not required. knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript, or low-level compiled more »

high-quality standards, drive continuous improvement initiatives, and address any customer-related challenges. Desirable Technical Experience: Proficiency in Java, Kotlin, or Python. Experience with NLP, ML-Ops, and data pipelines. Familiarity with ML frameworks such as TensorFlow or PyTorch Strong understanding of ML algorithms, statistical techniques, and data analysis. Experience more »

apply and build ML models from the ground up, utilizing new and established techniques and methods like neural networks, reinforcement learning, deep learning, and natural language processing. Remain connected to the broader research community, staying on top of the latest research and publications and discussing potential applications across more »

management, DBA experience are desirable Experienced in applying some of the data science techniques to project work, including data visualisation, package development, machine learning, NLP, Shiny/Dash, optimisation, deep learning, reinforcement learning Some knowledge of MLOps, implementation experience in MLOps is desirable Daily use of git is highly desirable more »

They're looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these more »

re on the lookout for an Engineering Lead to join our Professional Services team. Your objective? To tailor and integrate our cloud-based AI language model builder to suit a variety of client requirements. What we need to see from you!: Bachelor's or Master's degree in Computer more »

join their team, working on high-impact, commercially driven machine learning models Responsibilities: Working closely within a team, to design and build models across NLP, clustering and regression You will collaborate closely with Engineers, software developers, and business leaders to define precise product requirements, offer analytical support, and provide valuable … MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Proven experience in NLP, regression, clustering Excellent communication skills with proven experience working with stakeholders or clients Understanding of communications and market research tools Consultancy or client facing experience more »

to hear from you. You’ll be responsible for Development of a Conversational Recommendation System which utilises Large Language Models (LLMs) and other NLP technologies Deploying scalable and cost effective machine learning systems Evolving and maintaining our machine learning stack Monitoring and analysing deployed models for performance and costs … machine learning lifecycle from research to deployment. This includes all things MLOps - model development, validation, deployment and monitoring Familiarity with state of the art NLP - text embeddings (representation learning), vector databases, large language models, machine translation, intent recognition, entity recognition, text classification etc Familiarity with recommendation engines - collaborative filtering more »

Director of Data & AI Bournemouth (Hybrid/flexible) Salary: £120k – £150K + Bonus Permanent HL11133 Finatal is currently working with a B2B healthcare SaaS business that has recently gone through Private Equity expansion from a mid-market data-focused fund. more »

solutions. Proficiency with AI tools such as AWS Bedrock , Azure AI , Claude , OpenAI , and similar platforms. Experience with natural language processing (NLP) and machine learning (ML) techniques. Familiarity with integrating AI models into business processes, particularly in customer service and finance. Ability to work independently and manage more »

solutions. Proficiency with AI tools such as AWS Bedrock , Azure AI , Claude , OpenAI , and similar platforms. Experience with natural language processing (NLP) and machine learning (ML) techniques. Familiarity with integrating AI models into business processes, particularly in customer service and finance. Ability to work independently and manage more »