401 to 425 of 1,084 Permanent 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 ❯

processes are documented and scalable. Must-Have Experience: Proficiency in Python, SQL, Bash, and Git. Familiarity with tools like Pandas, Jupyter notebooks, PyTorch. Experience with advanced techniques including CausalAI, NLP, RNNs, GraphAI, GenAI, and Computer Vision. Solid understanding of experimentation methods including A/B testing. Strong communication skills and ability to translate complex analyses into actionable insights. Nice-to More ❯

skills in segmentation, recommendation, campaign optimisation, forecasting, etc. Proficiency in Python, SQL, Bash, and Git. Familiarity with tools like Pandas, Jupyter notebooks, PyTorch. Experience with advanced techniques including CausalAI, NLP, RNNs, GraphAI, GenAI, and Computer Vision. Solid understanding of experimentation methods including A/B testing. Strong communication skills and ability to translate complex analyses into actionable insights. Nice-to 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 ❯

Science, AI, ML, or a related field. Experience in developing and deploying AI/ML solutions. Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong understanding of LLMs, NLP, and machine learning algorithms. MLOps knowledge and experience with version control systems. Back-end engineering skills in Python or Node.js (willingness to upskill in Node.js/TypeScript). Ability to 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 ❯

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 ❯

and verbal communication skills - Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. PREFERRED QUALIFICATIONS - Master's degree with specialization in ML, NLP or Computer Vision preferred - 1+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - Diverse experience will be favored eg. More ❯

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 ❯

stakeholder engagement skills Desirable: • TOGAF or other enterprise architecture certification • Experience deploying AI solutions at scale in industries such as finance, healthcare or retail • Understanding of GenAI (e.g. LLMs), NLP, computer vision or reinforcement learning • Experience with containerisation, orchestration (e.g., Docker, Kubernetes) and CI/CD for ML #CF-1 Skills: Leadership What you can expect from us: Together, as More ❯

and verbal communication skills. Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management, and operations. PREFERRED QUALIFICATIONS Master's degree with specialization in ML, NLP, or Computer Vision preferred. 3+ years relevant work experience in a related field (project management, customer advocate, product owner, engineering, business analysis). Diverse experience will be favored e.g. a More ❯

champion best practices like code reviews, pair programming, and knowledge- sharing sessions. Apply robust ML and statistical techniques ( from classical models like Random Forest to state- of- the- art NLP and LLMs) to solve complex problems across multiple domains. Collaborate closely with stakeholders, ensuring technical solutions are well- communicated and drive real business impact. What We’re Looking For A 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 ❯

with a deep-tech start-up seeking a highly skilled AI engineer to join their growing team. This role will focus on developing AI algorithms for Neural Network-based NLP and Computer Vision, while collaborating with institutional, academic, and commercial partners. The Role Develop and refine AI models for Natural Language Processing (NLP) and Computer Vision Adapt … Key Requirements Active SC Clearance is required PhD or MSc in Computer Science, Electrical Engineering, Mathematics, or a related field, or equivalent industry experience Expertise in Neural Network-based NLP and Computer Vision Strong programming skills in Python Proven ability to work collaboratively within a research team Strong analytical and problem-solving skills Preferred Skills PhD in Computer Vision, Speech …/Audio Processing, or AI Track record of contributions to AI research and thought leadership Background in classical computer vision techniques Experience in machine learning model development Strong written and verbal communication skills Ability to contribute to commercial project delivery and technical bid writing What’s on Offer Salary: £100,000 (Depending on experience) Highly flexible working environment Significant More ❯

with a deep-tech start-up seeking a highly skilled AI engineer to join their growing team. This role will focus on developing AI algorithms for Neural Network-based NLP and Computer Vision, while collaborating with institutional, academic, and commercial partners. The Role Develop and refine AI models for Natural Language Processing (NLP) and Computer Vision Adapt … Key Requirements Active SC Clearance is required PhD or MSc in Computer Science, Electrical Engineering, Mathematics, or a related field, or equivalent industry experience Expertise in Neural Network-based NLP and Computer Vision Strong programming skills in Python Proven ability to work collaboratively within a research team Strong analytical and problem-solving skills Preferred Skills PhD in Computer Vision, Speech …/Audio Processing, or AI Track record of contributions to AI research and thought leadership Background in classical computer vision techniques Experience in machine learning model development Strong written and verbal communication skills Ability to contribute to commercial project delivery and technical bid writing What’s on Offer Salary: £100,000 (Depending on experience) Highly flexible working environment Significant More ❯

with a deep-tech start-up seeking a highly skilled AI engineer to join their growing team. This role will focus on developing AI algorithms for Neural Network-based NLP and Computer Vision, while collaborating with institutional, academic, and commercial partners. The Role Develop and refine AI models for Natural Language Processing (NLP) and Computer Vision Adapt … Key Requirements Active SC Clearance is required PhD or MSc in Computer Science, Electrical Engineering, Mathematics, or a related field, or equivalent industry experience Expertise in Neural Network-based NLP and Computer Vision Strong programming skills in Python Proven ability to work collaboratively within a research team Strong analytical and problem-solving skills Preferred Skills PhD in Computer Vision, Speech …/Audio Processing, or AI Track record of contributions to AI research and thought leadership Background in classical computer vision techniques Experience in machine learning model development Strong written and verbal communication skills Ability to contribute to commercial project delivery and technical bid writing What’s on Offer Salary: £100,000 (Depending on experience) Highly flexible working environment Significant More ❯

seeking talented graduates to join our AI and design teams. We’re exploring innovations in generative AI , AI-based decision-making tools , and natural language processing (NLP) , ensuring our teams are always at the cutting edge of technological progress. By joining our AI Team , you’ll play a crucial role in shaping these groundbreaking initiatives and pushing … cross-functional teams. Eagerness to stay updated with the latest advancements in AI and machine learning. Familiarity with topics such as neural networks, natural language processing (NLP), and generative AI. ABOUT US OUR MISSION AND VISION At Rapid X, we pride ourselves on being a forward-thinking organisation committed to providing innovative services and solutions that help More ❯

a passion for data science, machine learning, and advanced analytics. This role is ideal for someone who thrives at the intersection of complex systems engineering and cutting-edge data processing techniques-including extracting insight from some of the … most challenging data sources out there. What You'll Do: Design and manage systems-of-systems architectures, integrating multiple domains and disciplines. Apply natural language processing (NLP) and machine learning (ML) to solve mission-critical challenges. Extract and process data from unstructured/semi-structured sources, such as PDFs, CONOPS, and DODAF artifacts. Leverage qualitative analytical methods … boundaries of automation, analytics, and scalable systems. You'll Excel If You Have: Experience in systems engineering, especially for complex, multi-domain systems. Strong background in data science, including NLP and ML techniques. Proven ability to extract insights from documents using tools like Apache Tika or PDFMiner. Proficiency in Python and/or R, with hands-on experience using TensorFlow 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 ❯

commercial environment. Strong programming skills in Python. Experience with Computer Vision. Experience in building and evaluating production-ready machine learning models. Experience with Natural Language Processing (NLP) techniques. Experience working with real-world datasets formed by unstructured data. Solid understanding of fundamental concepts of data science. Experience working with Numpy and PyTorch. Experience working with cloud environments … is not essential, but it would be beneficial. Experience with Large Language Models is highly desirable. #J-18808-Ljbffr More ❯