76 to 100 of 410 Remote Natural Language Processing Jobs

CI/CD pipelines, and containerization tools (e.g., Docker) Familiarity with data integration and management from multiple sources in a distributed system environment Proficiency in at least one programming language (Python, Java, Go), and experience with scripting for automation Strong understanding of network infrastructure and security principles, ensuring compliance with data protection regulations A Bonus: Proficient in database management … and vector databases, including setup, scaling, and optimization for performance and reliability Experience deploying and running Machine Learning Solutions, including LLMs Benefits Competitive salary Opportunities to work on groundbreaking NLP & AI-related projects Remote working (Remote must be within 4-5 hours of CET timezone More ❯

re looking for candidates with strong experience in Computational Linguistics to help build and refine intelligent language technologies, combining linguistic expertise with technical skills to drive innovation in NLP and AI applications. Our client uses behavioural biometric interactions and advanced AI to create unique digital user identities, enabling seamless, intelligent security systems that adapt in real time. With ambitious More ❯

of tomorrow. Job Description As a Senior Machine Learning Engineer specialising in Large Language Models (LLMs), you will play a critical role in harnessing the power of advanced NLP technologies to drive innovation and efficiency across our enterprise. As part of Checkout.com’s AI centre of excellence, you will lead LLM-based solutions' design, development, and deployment, collaborating with More ❯

in either a professional data science position or a quantitative academic field Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe An excellent command of … statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill More ❯

an organisation that encourages continuous personal development, and are keen to talk with good candidates Desirable but not essential Demonstrable interest in Artificial Intelligence, Machine Learning, Deep Learning, or Natural Language Processing.Some hands-on experience with AI concepts, libraries, or frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, Keras, etc.) Familiarity with Python for AI/ML More ❯

Experience with version control (Git), CI/CD pipelines, and software engineering best practices. Fluent in English; knowledge of French or Dutch is a plus. Desirable Qualifications Experience in NLP, computer vision, time-series, or recommender systems. Knowledge of data privacy and ethical AI frameworks (e.g., GDPR compliance). Experience with big data frameworks (Spark, Hadoop). Previous experience working More ❯

in Python and machine learning are critical to this role as well as exposure to the data lifecycle. The role will include: Building, integrating, testing and scaling models including NLP and Computer Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops … Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in More ❯

in Python and machine learning are critical to this role as well as exposure to the data lifecycle. The role will include: Building, integrating, testing and scaling models including NLP and Computer Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops … Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in More ❯

in Python and machine learning are critical to this role as well as exposure to the data lifecycle. The role will include: Building, integrating, testing and scaling models including NLP and Computer Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops … Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in More ❯

genuinely make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a diverse, cross-functional team More ❯

genuinely make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a diverse, cross-functional team More ❯

such as multi-modal fusion, geospatial intelligence, and intelligent decision support. The Opportunity You’ll join a 35+ person AI & Machine Learning capability, collaborating across disciplines including computer vision, NLP, knowledge representation, and reinforcement learning. This hands-on role focuses on applied research and technical delivery—spanning early-stage concept exploration to proof-of-concept demonstrators for government R&D More ❯

such as multi-modal fusion, geospatial intelligence, and intelligent decision support. About the Opportunity Youll join a 35+ person AI & Machine Learning capability, collaborating across disciplines including computer vision, NLP, knowledge representation, and reinforcement learning. This hands-on role focuses on applied research and technical deliveryspanning early-stage concept exploration to proof-of-concept demonstrators for government R&D sponsors. More ❯

genuinely make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a diverse, cross-functional team More ❯

on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from NearTech Search Multilingual Senior Recruitment Consultant | Machine Learning | NLP | LLM | MLOps Python Engineer - London | Hybrid - £60,000 - £75,000 Looking to make your mark in the Ad-Tech space? Our client, a trailblazer in data-driven digital advertising, is More ❯

AWS), Azure, Google Cloud (GCP), Kafka, Redis, VM's, Lucene. Occasional travel may be required. Bonus Points: Certifications and specialization in Data Science, Data Analytics, Data Engineering, Machine Learning, NLP, Data Infrastructure, analytics Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification Experience working closely with a pre-sales organization in scoping the needs of Customers Comfortable with More ❯

AWS), Azure, Google Cloud (GCP), Kafka, Redis, VM’s, Lucene. Occasional travel may be required. Bonus Points: Certifications and specialization in Data Science, Data Analytics, Data Engineering, Machine Learning, NLP, Data Infrastructure, analytics Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification Experience working closely with a pre-sales organization in scoping the needs of Customers Comfortable with More ❯

learning to join our growing team. This individual will play a key role in building intelligent applications and tools that leverage cutting-edge natural language processing (NLP) and generative AI capabilities to deliver high-value solutions for our users and clients. Responsibilities Design, develop, and deploy AI-powered writing tools and applications using large language models. … s or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 3+ years of experience in AI/ML development, with a focus on NLP or generative models. Hands-on experience with LLMs such as OpenAI GPT, Anthropic Claude, Mistral, Cohere, or similar. Proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch … Hugging Face Transformers, or LangChain. Experience in fine-tuning, model evaluation, and prompt engineering. Strong understanding of NLP techniques including text classification, summarization, sentiment analysis, and dialogue systems. Experience building and deploying ML models in cloud environments (AWS, Azure, GCP). Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access More ❯

efforts - including state-of-the-art prompt engineering techniques - to support the construction of state-of-the-art AI models. The role involves developing, fine-tuning, and optimising large language models (LLMs) for corporate use cases, such as querying structured data or automating analytics workflows. Designing and refining prompts to improve LLM performance in structured data querying and other … business-specific applications Integrate LLMs with structured data systems (e.g., SQL databases, BigQuery, GCS) to enable natural language querying and advanced analytics. Implementing MLOps/LLMOps pipelines for deploying LLMs in production, monitoring their performance, and ensuring scalability. Evaluating LLM performance, optimising hyperparameters, and ensuring alignment with business objectives. Develop and maintain data integration processes to ensure data … database design. Artificial Intelligence and Machine Learning Understanding of machine learning algorithms (classification, regression, clustering) and their practical applications. Hands-on experience with natural language processing (NLP) techniques and developing custom solutions using large language models (LLMs) for business use cases. Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit More ❯

you a DevOps engineer ready to dive into the world of MLOps? Do you want to work on real-world deployments of cutting-edge machine learning models, including Large Language Models (LLMs)? We're looking for a motivated Junior MLOps Engineer with a DevOps background, eager to help us deploy and maintain machine learning models, especially Large Language … you! 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) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. More ❯

you a DevOps engineer ready to dive into the world of MLOps? Do you want to work on real-world deployments of cutting-edge machine learning models, including Large Language Models (LLMs)? We're looking for a motivated Junior MLOps Engineer with a DevOps background, eager to help us deploy and maintain machine learning models, especially Large Language … you! 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) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. More ❯

you a DevOps engineer ready to dive into the world of MLOps? Do you want to work on real-world deployments of cutting-edge machine learning models, including Large Language Models (LLMs)? We're looking for a motivated Junior MLOps Engineer with a DevOps background, eager to help us deploy and maintain machine learning models, especially Large Language … Aveni 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) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. More ❯

is seeking to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and … academic partners and SME partners as well as to grow technical research areas of interest to you. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You … with customer-facing and project support tasks. In addition to a solid academic background and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose More ❯

news aggregation services. The right candidate will: • Be highly numerate and analytical, backed by a mathematics, computer science, stats or physics degree (or equivalent experience) • Have excellent high-level language coding skills in any of e.g. Perl, Python, C/C++, Go, Rust, NodeJS, Java and a language-agnostic attitude • Have experience of Perl, Python 3 and NodeJS …/React • Apache web server software and related modules • Cloud platforms and concepts (AWS, Google Cloud, Azure) • Setup, testing and administration of CI/CD pipelines • Networking and firewalling • Natural language processing Responsibilities Leading, driving and motivating the development team • Allocating work to individual developers, keeping a focus on business priorities and how they further the company … stack. Desired skills: The right candidate will: • Be highly numerate and analytical, backed by a mathematics, computer science, stats or physics degree (or equivalent experience) • Have excellent high-level language coding skills in any of e.g. Perl, Python, C/C++, Go, Rust, NodeJS, Java and a language-agnostic attitude • Have experience of Perl, Python 3 and NodeJS More ❯

opportunities for data-driven improvements in safety, efficiency, and cost management. Work within a pod of Data Science professionals to develop and implement predictive analytics, time-series forecasting, and natural language processing models, in use cases that include forecasting aircraft maintenance needs and optimising operations. Take responsibility for delivering initiatives, adopt our Data Science ways of working … be able to break down initiatives into measurable tasks, and report progress and issues blocking progress. Work with our data teams to design and implement data collection, processing, and analysis frameworks, ensuring data integrity and accuracy. Be skilled at storytelling, be able to explain solutions to stakeholders and recommend actions to take for the business to realise value from More ❯