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

Computer Engineering, Electrical Engineering, or a closely related field and 8+ years - Strong familiarity with the principles of related disciplines such as Computer Vision, Natural Language Processing, Machine Learning, Predictive Modeling, Statistical Analysis, and Hypothesis Testing. - Experience with web-based development, C++, Python, MATLAB, Jira, agile development more »

Computer Engineering, Electrical Engineering, or a closely related field and 4+ years - Strong familiarity with the principles of related disciplines such as Computer Vision, Natural Language Processing, Machine Learning, Predictive Modeling, Statistical Analysis, and Hypothesis Testing. - Experience with web-based development, C++, Python, MATLAB, Jira, agile development more »

evaluates integrating technologies not currently employed - potential automation solutions but not limited to include Artificial Intelligence (AI) and Natural Language Processing (NLP). Experienced in design/support of Containerized solutions. Qualifications/Education: At least twelve (12) years of relevant experience driving architectural standards. Strong experience more »

their team on a 6-month contract basis. You will have knowledge and experience in the following areas: OCR and lexical analysis techniques including NLP (spacy) and ML. AWS including: CDK Serverless (Lambda) S3 API Gateway Cloud Formation Aurora/Postgres Python/Typescript Stakeholder management Design and implementation of more »

the private sector to understand and advance effective climate policies and deploy climate finance. Harnessing data science and AI and pioneering the application of natural language processing to this domain, our work unlocks previously inaccessible, unstructured data. We are deeply embedded in the global climate and AI … data partners in curating large libraries of climate-related documents. And building out our virtual research assistant roadmap ambition, including leveraging and productionising large language models to help researchers analyse data. Our ideal candidate will champion engineering excellence, open source, and delightful user experiences. We are looking for candidates 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 »

you gain Experience working in a high-performance environment where collaboration and business impact are BAU. Experience in a wide breath of techniques covering NLP through to causal inference. Exposure to the best technology, architectural patterns, and integrations of ML/GenAI to production in the industry. Additional information Why more »

Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point on more »

Senior Machine Learning Engineer (NLP) – Startup LLM - £130k +equity – Remote (UK/EU) Are you an expert in NLP/LLM? Are you passionate about building groundbreaking technology and shaping the future of AI? Do you dream of starting a company from the ground up? If so, we have the … US HQ’d Web3 incubator, founded by a successful tech entrepreneur, which has grown to 30 people and we’re looking for a Senior NLP Engineer to be part of the founding team, joining our CEO, CTO, COO and Principal Engineer. About you You’ll draw on your experience as … a NLP/AI Engineer to drive the design of the platform and tailor it to be most efficient for LLMs. You’ll have experience building large models, fine-tuning and training them along with a strong theoretical understanding of how they optimise them you’ll be familiar with things 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 »

About the Opportunity We’re a UK-based deep tech start-up seeking an NLP focused AI Engineer to join our enthusiastic and rapidly growing team. Ideally, you’ll have 3+ years industry experience working with Natural Language Processing on a wide range of challenges in a … and scaling natural language model systems, data enhancement, collaboration with the wider AI team, and keeping ahead of the latest trends in NLP and ML. The ideal candidate will have a number of years’ experience with LLMs, utilising them as part of a natural language model … novel AI products into offline environments Minimum Qualifications & Experience Strong experience deploying LLM’s for searching pipelines Up to date with current LLM and NLP research Experience designing, developing and deploying production machine learning pipelines Strong background in NLP techniques BS, MS or Ph.D. degree in Computer Science or related 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 »

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 »

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 »

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 »

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 »

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 »

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 »

tasks. Proven knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or a related more »

Senior Recruitment Consultant - AI & Data (Europe or North America) Excellent Salaries + Commission + Benefits Central Manchester or Remote Areas: Artificial Intelligence, NLP, Data, Computer Vision, Recommender Systems, LLM's, Quantum Computing, Machine Learning, Deep Learning ‍ We are a leading recruitment agency with an established AI department that has been more »

to expand your network while working with cutting-edge tools in the market including TensorFlow, LangChain, LlamaIndex, and working on the development of ML, NLP and GenAI solutions. The role is hybrid, based in central London (max 1-hour commute) and it is offering up to £110,000 + bonus more »

Python and SQL Extensive Machine Learning experience: recommendation, forecasting, predictive performance analysis & optimisation Experience with Snowflake, DataIQ or Databricks AWS experience – Redshift & Fast API NLP & Computer Vision experience Previous experience working with Marketing Ecosystems Hybrid working with offices in Central London - 3x a week in the office. Day rate up more »

engagement, and much more. The firm has some projects to automate in AI and then within 3-6 months will have massive LLM/NLP projects driving performance and campaign management. Key Responsibilities: Work with stakeholders within the business to understand the complexity and objectives of the team, and how … to tackle complex issues. Key Experience: Background in Mathematics - BA/Masters (Engineering, Mathematics, Psychology with Research/stats involved in programme) Python Programming Language – 4-5+ years of experience in a Data Science setting Experience in AI/Machine Learning + either PyTorch/TensorFlow Experience with more »