451 to 475 of 1,093 Natural Language Processing Jobs

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 ❯

learning and AI. Drive the application of statistical analysis and machine learning techniques to derive insights from large datasets. Guide the development of natural language processing (NLP) models to enhance user experience and automate processes. Utilize Azure DevOps for project management and CI/CD practices, ensuring efficient delivery of projects. Manage version control using Git and 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 ❯

about to complete a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or related fields at time of application • Knowledge of Computer Science fundamentals • Experience with Natural Language Processing, Computer Vision, or Deep Learning PREFERRED QUALIFICATIONS • Previous technical internship(s) if applicable • Experience with distributed, multi-tiered systems, algorithms, and relational databases • Experience such … linear programming and nonlinear optimisation • Ability to effectively articulate technical challenges and solutions • Adept at handling ambiguous or undefined problems as well as ability to think abstractly • Experience with Natural Language Processing: Java or Python, and ML, AI, Labeling, Annotation, Data Pipeline, Big Data, AWS, or Cloud Services • Experience with Computer Vision: Kernel, Hardware Accelerator, TVM, or More ❯

sexual orientation, gender identity and expression, national origin, disability, genetic information, veteran status, or any other protected characteristic or class Responsibilities include training, hosting, and the optimization of large language model instances within our computing environment Requirements Degree in computer science, artificial intelligence, or a related field 12+ years of experience in software engineering, with a focus on machine … learning or natural language processing Strong expertise in deep learning frameworks such as tensorFlow, pyTorch, or MXNet Proficiency in programming languages such as python, C++, or java Solid understanding of LLM architectures, training techniques, and evaluation methodologies Familiarity with cloud platforms (e.g., AWS, GCP) and their machine learning services Knowledge of software engineering best practices, including version More ❯

learning and AI. Drive the application of statistical analysis and machine learning techniques to derive insights from large datasets. Guide the development of natural language processing (NLP) models to enhance user experience and automate processes. Utilize Azure DevOps for project management and CI/CD practices, ensuring efficient delivery of projects. Manage version control using Git and More ❯

longer lives. They are looking for a GenAI Engineer to join their team in London. In this role, you will design, build, and optimise RAG pipelines that combine large language models (LLMs) with domain-specific retrieval systems, enabling natural language understanding and reasoning over patient data, clinical guidelines, and health records. As a GenAI Engineer, your work … GenAI and health tech applications of LLMs. What you bring: As the ideal candidate for the GenAI Engineer role, you bring a wealth of experience in machine learning and NLP roles. Your strong proficiency in Python, deep learning frameworks such as PyTorch or TensorFlow, and GenAI libraries will be essential to your success in this role. You have hands-on … an understanding of HIPAA/GDPR compliance. Your strong problem-solving skills will be invaluable in our fast-paced environment. 3+ years of experience working in machine learning/NLP roles. Strong proficiency in Python, deep learning frameworks (PyTorch or TensorFlow), and GenAI libraries. Hands-on experience with vector search, embedding models, and retrieval pipelines. Familiarity with prompt engineering, prompt More ❯

Design and implement advanced AI solutions to automate and optimize business processes, ensuring high performance, scalability, and reliability. Agentic LLM/RAG Systems: Build sophisticated agentic systems leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), optimizing for performance and cost by selecting appropriate models (foundation, fine-tuned, or custom-built). Cross-Functional Collaboration: Work closely with … business requirements and translate them into AI-powered solutions. Technical Leadership: Provide guidance and mentorship to other engineers, establishing best practices and coding standards. Requirements: Experience in Deep Learning & NLP: Proven experience in deep learning with a focus on natural language processing. LLM Expertise: Strong understanding of large language models and grounding techniques. Production Deployment: Experience deploying More ❯

for internal/external partners or customers. Preferred qualifications: Master's degree in Engineering, Computer Science, Business, or a related field. Experience with Gen Ai technologies such as large language modelling, natural language processing, developing, or maintaining solutions in virtualized environments. Experience working with database technologies (e.g., SQL, NoSQL). Experience in an investigative role such 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 ❯

for internal/external partners or customers. Preferred qualifications: Master's degree in Engineering, Computer Science, Business, or a related field. Experience with Gen Ai technologies such as large language modelling, natural language processing, developing, or maintaining solutions in virtualized environments. Experience working with database technologies (e.g., SQL, NoSQL). Experience in an investigative role such More ❯

approach to workload, to work autonomously when required, demonstrating the ability to prioritise and organise Technical skills: Excellent working knowledge of advanced analytical techniques, including regression, segmentation, machine learning, natural language processing, text analytics, and time-series modelling Experience of a wide variety of technologies including: R or Python, SQL Understanding and experience with cloud infrastructures such More ❯

About our Team: SciBite is developing cutting-edge AI and NLP technologies for solving key challenges for our life science customers. We use the latest large language models combined with our award-winning semantic technology to enable discovery within large volumes of unstructured data. About the Role: We are looking for an ML Engineer to develop our AI/… the latest AI models a reality for our colleagues and customers. The main duties of this role include: Developing infrastructure to support the use of AI models for the processing of large volumes of text-based data Developing/supporting interfaces for interaction with the models Testing and documentation Requirements: Experienced Python developer Experience utilising machine learning libraries such … Understanding and experience of deploying code in containers, eg docker Experience in the life sciences or pharmaceutical domains Experience with CI/CD Confidence in Linux based environments Text Processing and Big Data Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are More ❯

Postel-Vinay, and Imran Rasul. The RA will also be part of the broader IFS community and participate in its intellectual life. The ideal candidate will be proficient in natural language processing techniques relevant for extracting structured information from unstructured text data, including associated applied machine learning and AI tools. The RA will also collaborate in implementing … have: A master's degree in economics, data science, or related field; Familiarity with algorithms for extracting information from massive textual corpora; Proficiency in Python, R, or other core language for unstructured data analysis; Familiarity with the applied econometric toolkit; Excellent problem solving and analytical skills and a strong attention to detail; Strong organisational and administrative skills and the … ability to work in a systematic, thorough manner; Well-developed writing skills, including the ability to explain complex ideas in plain language; Good interpersonal skills and experience of working effectively in a diverse team; The ability to think creatively, work independently and take initiative to promote successful project outcomes; Experience of working with large, unstructured datasets; Existing coding projects 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 ❯

capabilities for embeddings and reranking models that are available across the Elasticsearch user base. As a team, we are a collaborative, cross-functional group with backgrounds in information retrieval, natural language processing, and distributed systems. We work with Go microservices, Python, Ray Serve, Kubernetes/KubeRay, and work on AWS, GCP & Azure. We provide thought leadership across 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 ❯

seasoned AI Leader capable of scaling AI capabilities to transform business models. This pivotal role will oversee a dynamic team responsible for the conception and execution of AI, ML, NLP, and Generative AI solutions, aimed at influencing business outcomes. Your expertise will be used to harness cutting-edge AI capabilities, multiple internal and external data sources to create new AI … implementing apt AI and computational methodologies, working with domain experts and business leads. You will lead a team of Machine Learning engineers, producing trail-blazing techniques in deep learning, NLP, and Generative AI. Skills/Experience The ideal candidate will have 10+ years of experience leading an AI team with hands-on implementation experience with a positive impact to business. … Deep understanding of Generative AI, Large Language Models, NLP, deep learning models and model implementation is a must. Top-notch problem-solving skills, quick adaptability, and excellent communication are key. You are expected to have a minimum of 10 years leading a team of ML Engineers, Data Scientists, developing deep learning models, with a solid understanding of recent Generative 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 ❯

artificial intelligence, and/or software engineering, with expertise in at least 3 of these areas Must have Top Secret/SCI - Polygraph clearance Preferred Accurately and automatically tokenize language data with spoken or written origins Develop automated … solutions for the annotation of language data with parts of speech information, and improved existing models by scoring performance against human-generated annotations for speech and text Demonstrated NLP experience More ❯

Scientist to join its advanced data and decision science capability. This is a rare opportunity to work at the intersection of cutting-edge AI, machine learning, and statistical signal processing-delivering real impact across domains including national defence, space, and critical infrastructure. As part of a multi-disciplinary innovation team, you'll contribute to the design of next-generation … ll be doing: Leading AI/ML research projects from concept to prototype Developing algorithms for sequential data and decision support Collaborating across teams with specialisms in radar, sonar, NLP, CV, autonomy, LLMs, and more Mentoring junior staff and publishing/patenting innovative research Working directly with customers across defence, space, and security sectors What we're looking for: PhD … or equivalent experience) in a relevant discipline Deep knowledge of machine learning and statistical signal processing Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, and scikit-learn Experience working with time-series, sensor, or RF data Track record of delivering innovative solutions in complex technical domains Please note: Due to the nature of the work, candidates must More ❯

this role, we are looking for candidates with Master's degree in Artificial Intelligence or Computer Science or similar field, with work experience in the field of AI or NLP and following qualifications: Contribution to generative-AI products currently in production. Proven, deep expertise in taking AI or NLP-based applications from idea to production. Python-based, AI-centric frontend … AWS, and especially their AI offerings (Azure OpenAI and Bedrock). Familiarity with Terraform and/or cloud agnostic IaC. Experience with Google Cloud, Vector Databases, Semantic Search and Language Models would be a bonus. About the Department Our department comprises four key teams: AI Engineering, AI Enablement, Responsible AI, and Intelligent Automation, collaborating on everything from AI innovation More ❯

edge LLM-based applications. This role is ideal for someone who’s passionate about applying AI to solve real enterprise problems and wants to work at the forefront of NLP and ML innovation. What can you expect to be doing? Build and deploy production-grade AI systems using large language models Design scalable retrieval and agentic architectures Collaborate with More ❯