176 to 200 of 410 Remote Natural Language Processing Jobs

Strong coding experience in Python and the ML/AI development ecosystem. Solid understanding and ideally hands-on experience with core Machine Learning concepts. Specialisation or strong exposure to NLP, LLMs, Gen AI OR Deep Learning frameworks (one area is fine) Prior experience delivering training, mentoring, or leading workshops or lectures. ( Trainer/Instructor/Lecturer/Teacher Consultant/ More ❯

Strong coding experience in Python and the ML/AI development ecosystem. Solid understanding and ideally hands-on experience with core Machine Learning concepts. Specialisation or strong exposure to NLP, LLMs, Gen AI OR Deep Learning frameworks (one area is fine) Prior experience delivering training, mentoring, or leading workshops or lectures. ( Trainer/Instructor/Lecturer/Teacher Consultant/ More ❯

owners and marketing performance managers. Experience in Python and SQL. Experience with cloud platforms such as Amazon Web Services, Azure, or Google Cloud Platform. Deep understanding of Generative AI, NLP, and MLOps concepts. Analytical, flexible, independent, and a strong communicator. WE OFFER: A flexible, hybrid working policy (2 days from the office, depending on location). An excellent salary based More ❯

storage, hosting, tool technologies & technical architecture. Deep understanding of industry trends, concepts, opportunities, threats & constraints. Experience & knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or AI/ML certifications (AWS, Google Cloud). Experience with implementing scripted web services in ServiceNow, Java More ❯

storage, hosting, tool technologies & technical architecture. Deep understanding of industry trends, concepts, opportunities, threats & constraints. Experience & knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or AI/ML certifications (AWS, Google Cloud). Experience with implementing scripted web services in ServiceNow, Java More ❯

large language model (LLM) agents to push the boundaries of legal technology. You'll be collaborating closely with data scientists, software engineers, and product managers to integrate advanced NLP techniques into our products. What You'll Do Innovative NLP Research: Research, evaluate, and implement state-of-the-art NLP methodologies and large language model approaches to drive product … RAG) and Knowledge Graphs - to enhance our core product and explore new use cases. Cross-Functional Collaboration: Work closely with cross-functional teams to integrate advanced ML models and NLP solutions into our platform, ensuring they align with business objectives and provide tangible value. Strategic Innovation: Stay current with the latest trends and breakthroughs in NLP, machine learning, and multi … agent systems, and contribute ideas that shape the strategic direction of our AI initiatives. About You Machine Learning & NLP Expertise: Strong understanding of machine learning and natural language processing with relevant commercial experience in building and deploying NLP solutions. Cloud & Containerization Skills: Experience with the AWS cloud platform and containerization technologies (e.g., Docker, Kubernetes). Collaboration & Communication More ❯

and Semantics group, which operates within a wider capability focused on Data and Decision Support. This capability includes teams specialising in reinforcement learning, natural language processing (NLP), knowledge graphs, large language models (LLMs), computer vision, and AI applications for RF, electronic warfare, sonar, and acoustics. About the Role The Team Lead will guide a group of … researchers and engineers working in NLP, LLM applications, text mining, knowledge graphs, and graph-based machine learning. The ideal candidate will be a skilled technical leader with a clear vision for applying machine learning to real-world challenges, particularly within the defence, security, and commercial domains. This is a highly collaborative role, offering the opportunity to work in multi-disciplinary …/ML projects. It also provides scope to engage with academic institutions, SMEs, and technical partners, while shaping future research directions. Key Responsibilities: Lead and deliver research projects in NLP, knowledge representation, and machine learning, often in collaboration with leading UK universities. Direct technical teams, ensuring timely delivery of high-quality technical outputs including reports, demonstrators, and proposals. Develop and More ❯

and Semantics group, which operates within a wider capability focused on Data and Decision Support. This capability includes teams specialising in reinforcement learning, natural language processing (NLP), knowledge graphs, large language models (LLMs), computer vision, and AI applications for RF, electronic warfare, sonar, and acoustics. About the Role The Team Lead will guide a group of … researchers and engineers working in NLP, LLM applications, text mining, knowledge graphs, and graph-based machine learning. The ideal candidate will be a skilled technical leader with a clear vision for applying machine learning to real-world challenges, particularly within the defence, security, and commercial domains. This is a highly collaborative role, offering the opportunity to work in multi-disciplinary …/ML projects. It also provides scope to engage with academic institutions, SMEs, and technical partners, while shaping future research directions. Key Responsibilities: Lead and deliver research projects in NLP, knowledge representation, and machine learning, often in collaboration with leading UK universities. Direct technical teams, ensuring timely delivery of high-quality technical outputs including reports, demonstrators, and proposals. Develop and More ❯

and Semantics group, which operates within a wider capability focused on Data and Decision Support. This capability includes teams specialising in reinforcement learning, natural language processing (NLP), knowledge graphs, large language models (LLMs), computer vision, and AI applications for RF, electronic warfare, sonar, and acoustics. About the Role The Team Lead will guide a group of … researchers and engineers working in NLP, LLM applications, text mining, knowledge graphs, and graph-based machine learning. The ideal candidate will be a skilled technical leader with a clear vision for applying machine learning to real-world challenges, particularly within the defence, security, and commercial domains. This is a highly collaborative role, offering the opportunity to work in multi-disciplinary …/ML projects. It also provides scope to engage with academic institutions, SMEs, and technical partners, while shaping future research directions. Key Responsibilities: Lead and deliver research projects in NLP, knowledge representation, and machine learning, often in collaboration with leading UK universities. Direct technical teams, ensuring timely delivery of high-quality technical outputs including reports, demonstrators, and proposals. Develop and More ❯

development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions. Build Scalable ML Solutions: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develop high performing scalable systems in the context of large online delivery environments. Be a Team … Have experience integrating Machine Learning solutions into production-grade software and have an understanding of ModelOps and MLOps principles Had previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. Can understand and translate between language and methodologies used both in … research and engineering fields Hands-on experience in other programming language/scripting language and development stack (Java, Rust, Scala, Typescript, etc.) What's in it For You? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering More ❯

Job Description Senior AI Engineer - Python, AWS, NLP | £100,000 - £130,000 | Remote (UK-Based) 167 Solutions Ltd is hiring on behalf of a global organisation at the forefront of artificial intelligence innovation. We are seeking a highly skilled Senior AI Engineer with expertise in Python, AWS, Natural Processing (NLP), and advanced AI technologies to contribute to the … problem-solving skills, and the ability to work collaboratively within a global AI-focused team. Key Responsibilities Develop and optimise AI and machine learning models, with a focus on NLP and Generative AI . Design, implement, and deploy scalable AI solutions using AWS services , including Athena, SageMaker, and Lambda. Work with LLMs and Open-Source AI frameworks , ensuring model efficiency … AI models for real-world implementation. Candidate Requirements Strong Python programming skills, with experience in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Extensive experience in NLP and Generative AI , including working with large-scale models. Proficiency in AWS cloud computing , including Athena, SageMaker, and related AI/ML services. Experience in AI model optimisation, fine-tuning More ❯

Extensive hands-on proficiency with leading AI frameworks including PyTorch, TensorFlow, or Hugging Face libraries alongside advanced Python programming skills. Applied expertise in natural language processing (NLP), generative AI models, or reinforcement learning methodologies is highly desirable. Exceptional communication abilities enabling you to explain intricate technical concepts effectively to both technical peers and non-technical stakeholders alike. More ❯

add significant value, collaborating with and enthusing our stakeholders. You will: 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 ❯

Vue/React Apache web server and related modules Cloud platforms such as AWS, Google Cloud, Azure CI/CD pipeline setup, testing, and administration Networking and firewall configuration Natural language processing Responsibilities Leading, motivating, and managing the development team Assign work based on business priorities and team skills Support team members' growth and learning Monitor and More ❯

field, and share knowledge with the broader team Project management, coordination, and managerial oversight where required Your Skills And Experience Expert working knowledge in deep learning and/or natural language processing, and a strong foundation in mathematics and statistics (including probability, time-series modelling, optimisation) A track record of original research and hands-on production deliveries More ❯

proven track record in managing global, cross-functional teams and driving growth within GROW & AI, cloud, and SaaS-based business models. Deep expertise in GROW & AI technologies (machine learning, natural language processing, etc.) and public cloud business applications with an ability to translate these solutions into actionable business strategies. Demonstrated success in leading and growing enterprise sales More ❯

closing the Trust Gap in e-commerce, building trust infrastructure to facilitate global trade. Our impact includes being Shopify's #1 Review Solution, serving over 500k shops worldwide, and processing over … million orders monthly. Role Responsibilities Lead development of the Trust Optimisation Platform, utilizing large review datasets to generate merchant insights. Architect and develop scalable data infrastructure and pipelines. Create NLP/ML models for review analysis, trust pattern identification, and merchant benchmarking. Collaborate with product and design teams to translate data insights into features. Qualifications 5+ years in data engineering … and data science roles. Proficiency in Python and SQL. Experience with NLP/ML models, data pipelines, and ETL processes. Ability to work with large datasets, preferably in e-commerce or review data. Strong communication skills. Preferred Skills Experience with e-commerce platforms like Shopify. Background in trust metrics or customer experience analysis. Knowledge of data visualization and cloud infrastructure More ❯

and drive collaborative research with academia and external partners. This role offers a unique blend of hands-on AI development and strategic technical influence across programmes in radar, sonar, NLP, computer vision, and large language models. What you'll be doing: Leading delivery of high-impact AI/ML research and development projects Providing engineering assurance across bids, publications … and technical deliverables Mentoring and developing junior scientists and engineers Identifying and guiding novel research directions in reinforcement learning, NLP, RF, autonomy, and more Working closely with customers and stakeholders across defence, security, and commercial sectors What we're looking for: PhD (or equivalent experience) in a relevant AI/ML discipline 10+ years of experience in AI/ML … technical assurance across large R&D projects Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, scikit-learn Expertise in one or more of: computer vision, reinforcement learning, NLP/LLMs, knowledge graphs, RF/EO sensor data, autonomy Please note: Due to the nature of the work, candidates must be eligible for UK Security Clearance, which typically requires More ❯

Python and its data science stack. Background and hands-on experience (2+ years) in applied algorithmic research, specifically in information retrieval, text processing, computer vision (CV), computational linguistics (NLP) and machine learning Track record of good written and verbal communication of complex things in a simple way as well as ability to collaborate well with people from different backgrounds … and professions A master's degree or higher Experience in NLP is a plus Total Rewards Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all. Some things you'll enjoy Stock grant opportunities dependent on your role More ❯

wide range of systems, including recommendation engines, dispatching algorithms, safety checks, and other critical decision-making processes across Deliveroo. You will play a key role in developing in-house language and vision-language models using techniques such as fine-tuning and distillation. In addition to advanced prompt engineering, you will help us experiment with and evaluate various model … training, deployment, and experimentation. Requirements Strong understanding of machine learning fundamentals and the practical trade-offs involved in applying them 3-5+ years' experience with deep learning and NLP Experience with Pytorch or other deep learning frameworks Hands-on experience fine-tuning LLMs or working with frameworks such as Hugging Face Transformers Proven experience deploying ML models to production More ❯

data structures, algorithms, data modelling and software architecture Solid understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc), state-of-the-art research area (e.g. NLP, Transfer Learning etc) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc) Understanding … of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust, and nonparametric statistics; hypothesis testing, probability distributions, sampling techniques, and stochastic processes Be Customer Focused - constantly improving our customers' experience I listen to my customers I use available data to help make decisions Be Human - acting with humanity and More ❯

Data Scientist Salary: £100,000 - £130,000 + bonus + benefits Location: London - 3 days p/w in-office Tech: Python, AWS, Spark, Dataiku, Airflow, SnowFlake, ML/NLP, Predictive Modelling *Sponsorship is not on offer for this role The Company: Immersum are partnered with a high-growth data company that’s redefining how organisations engage with household and … in line with GDPR and industry standards What you’ll bring: 10+ years in data science or applied AI/ML roles, including senior leadership Deep expertise in ML, NLP, predictive modelling, and advanced analytics Strong programming ability in Python, with experience across cloud and data platforms (e.g. AWS, Spark, Dataiku) Commercial mindset and strong stakeholder engagement skills Passion for More ❯

Data Scientist Salary: £100,000 - £130,000 + bonus + benefits Location: London - 3 days p/w in-office Tech: Python, AWS, Spark, Dataiku, Airflow, SnowFlake, ML/NLP, Predictive Modelling *Sponsorship is not on offer for this role The Company: Immersum are partnered with a high-growth data company that’s redefining how organisations engage with household and … in line with GDPR and industry standards What you’ll bring: 10+ years in data science or applied AI/ML roles, including senior leadership Deep expertise in ML, NLP, predictive modelling, and advanced analytics Strong programming ability in Python, with experience across cloud and data platforms (e.g. AWS, Spark, Dataiku) Commercial mindset and strong stakeholder engagement skills Passion for More ❯

our last resort, not our first instinct. You'll be instrumental in: Strategic Data Leadership : Architect and build product data infrastructure to transform review data into actionable merchant insights NLP/ML Development : Create models that analyse review content, identify trust patterns, and establish merchant benchmarks Pipeline Architecture : Build scalable systems that efficiently process our extensive review and merchant data … based on merchant feedback What You'll Bring Must-Haves 5+ years experience in data engineering and data science roles Strong programming skills in Python and SQL Experience building NLP/ML models, particularly for text classification or sentiment analysis Background in developing data pipelines and ETL processes Proven ability to translate complex data models into business insights Experience working More ❯

DVC, Airflow) Ability to work independently and manage time effectively in a hybrid work setting Fluent in English; French or Dutch is a plus Nice to Have Experience with NLP, computer vision, or time series forecasting Background in data engineering or software development Previous work in finance, healthcare, or logistics sectors More ❯