1 to 25 of 101 Natural Language Processing Jobs in the South East

product strategy. In this role, you will: • Lead AI strategy and execution in a high-ambiguity environment. • Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). • Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. • Collaborate closely with product, design, and DevOps to integrate … stealth-mode or early-stage startup, ideally taking an AI product from 0 → 1 • Background in a relevant domain (e.g., healthcare AI, autonomous systems, finance, robotics, computer vision, or NLP). • Hands-on experience with large-scale language models (LLMs) and prompt engineering (e.g., GPT, BERT, T5 family). • Familiarity with on-device or edge-AI deployments (e.g., TensorFlow More ❯

/ML frameworks. Strong understanding of MLops principles and practices. Ability to design and implement complex ML systems. Strong understanding of neural networks, natural language processing (NLP), computer vision, and other AI domains. Experience with cloud platforms and AI tools (e.g., Google Cloud, Azure). Familiarity with natural language processing or AI technologies (e.g. … LLMs such as ChatGPT or BARD, Embeddings, Prompt Engineering). Experience with data pipelines and preferably processing of documents (e.g., using Google Cloud Fusion/Azure Data Factory). Demonstrated success in deploying AI solutions in real-world applications. Work closely with product managers, data scientists, software engineers, and other stakeholders to integrate AI solutions into existing and new More ❯

the development of intelligent, data-driven solutions across our core products and operations. You'll be at the forefront of our AI strategy, leading initiatives to optimize underwriting, claims processing, risk assessment, and customer personalization using machine learning and advanced analytics. KeyResponsibilities: Lead the end-to-end development and deployment of AI/ML models to support underwriting, fraud … scale a high-performing data science team; provide technical mentorship and guidance. Collaborate with engineering to ensure smooth integration of AI models into production systems. Drive the use of NLP, predictive modeling, and generative AI where applicable to improve operational efficiency and innovation. KeyRequirements: 6+ years of experience in data science, with at least 2 years in a lead or More ❯

/Waterfall understanding. Cloud, ideally Azure and its core AI products (Azure ML, Azure OpenAI, AI Foundry). Modelling: Expertise in at least 2 areas of AI, e.g. forecasting, NLP/NLM, vision. Experience with GenAI, particularly Language Models. Coding: Python for data science (DS). Low/no code approach to DS/AI IDEs & notebooks. Git & GitHub More ❯

techniques: Proficiency in supervised/unsupervised/semi-supervised learning, neural networks, SVM, tree-based methods, and NLP. Expertise in generative AI tools: Experience with prompt-engineering, fine-tuning language models, and selecting the right models for various tasks. Proficiency in MLOps: Knowledge of building production applications in cloud architecture (Azure, AWS, or similar), and understanding of best practices More ❯

of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job Details We are looking for skilled and innovative individuals to join our dynamic team. This role is ideal for those who … drive to tackle complex challenges. Reporting to the Head of AI Lab, you will be primarily responsible for developing and enhancing machine learning algorithms across various projects, including document processing, satellite imagery analysis, and Large Language Models (LLM). You'll collaborate closely with experienced engineers and data scientists to address complex challenges, deliver impactful solutions, and adapt … Science, or related field Key Skills And Experiences Proficient in machine learning and statistics, with hands-on experience in computer vision (CV) or natural language processing (NLP); understanding of large language models (LLM) is a plus Skilled in object-oriented programming using Python. Familiar with PyTorch or other machine learning frameworks Excellent problem-solving skills Strong More ❯

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 … using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural language querying and advanced analytics. Proficient in designing and implementing MLOps/LLMOps pipelines for model deployment, monitoring, version control, and CI/CD workflows. Strong understanding of More ❯

Scientists, Software Engineers and Architects on a new GenAI capability. The next, you're fine-tuning prompts or experimenting with Computer Vision and Natural Language Processing (NLP). You'll stay sharp on emerging trends in AI and push us to keep evolving and delivering state-of-the-art AI capabilities. We're big on flexibility. Our More ❯

AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision) using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date … stakeholders. Ensure your workflows are reproducible and well-documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on More ❯

our projects efficiently and effectively. The Data Scientist role combines data and analytics with applications knowledge. We make extensive use of advanced techniques including LLMs, Computer Vision; Neural Networks; NLP and advanced statistics. Education Qualification (Minimum) Bachelor's Degree in a STEM subject (typically, but not limited to: Maths; Physics; Physical/Engineering Sciences; Data Science; Computer Science; Mechanical/ More ❯

our projects efficiently and effectively. The Data Scientist role combines data and analytics with applications knowledge. We make extensive use of advanced techniques including LLMs, Computer Vision; Neural Networks; NLP and advanced statistics. Education Qualification (Minimum) Bachelor's Degree in a STEM subject (typically, but not limited to: Maths; Physics; Physical/Engineering Sciences; Data Science; Computer Science; Mechanical/ More ❯

techniques: Proficiency in supervised/unsupervised/semi-supervised learning, neural networks, SVM, tree-based methods, and NLP. Expertise in generative AI tools: Experience with prompt-engineering, fine-tuning language models, and selecting the right models for various tasks. Proficiency in MLOps: Knowledge of building production applications in cloud architecture (Azure, AWS, or similar), and understanding of best practices More ❯

in a fast-moving environment. The position will involve applying your skills to our two exciting, commercially focussed, core AI developments. The role will involve developing, combining and scaling natural model systems, data enhancement, collaboration with the wider AI team, and keeping ahead of the latest trends in Generative AI and ML. The ideal candidate will have a number … of years’ experience with LLMs, utilising them as part of a natural model system (ideally both in and before production). Alongside this the candidate will have good understanding of current literature around LLMs. The Rewards Initial salary: £neg., depending on experience & personal attributes Opportunity for rapid career progression An opportunity to shape the direction of fast-moving start … Strong understanding of the theory of generative AI systems e.g., LLMs, RAG, Graph networks 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 quantitative field Strong presentation skills More ❯

. Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP, GenAI, and CausalAI. Familiarity with MLFlow, API design (FastAPI), and dashboard building (Dash). If this role looks of interest, reach out to Joseph Gregory #J-18808-Ljbffr More ❯

Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this More ❯

Learning, Computer Science, Physics, Chemistry, Mathematics, Statistics, Engineering, Economics etc. Proven experience in leading data science projects across a range of areas required, such as personalisation, pricing, forecasting, GenAI, NLP, classification and regression. Strong programming and modelling skills using SQL and Python required, working with large volumes of complex data. Expert in building and leveraging stakeholder relationships, in order to 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 ❯

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 ❯

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 ❯

complex challenges and integrate code with software engineers. Responsibilities will include: Delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (e.g., ML, NLP, LLMs, Motion Capture, Image Recognition, OCR). Building new relationships and maintaining current customer relationships. Applying mathematical and computational methods to tackle real-world problems, utilizing tools and techniques, and … machine learning to real-world problems. Experience translating customer requirements into quantitative models. Experience in one or more of the following technical disciplines: Natural Language Processing (NLP) ML (e.g., Random Forests, CatBoost, LXGM) Image Recognition Optical Character Recognition (OCR) Motion Capture Proficiency in Python, R, or C++, including relevant libraries (numpy, pandas, matplotlib, scikit-learn, tensorflow, etc. More ❯

calibre Quant team within a discreet fund based in the UAE, operating at the intersection of Quantitative Research and Artificial Intelligence. This role is dedicated to leveraging data and language models to support the research, development, and implementation of systematic investment strategies. The successful candidate will combine strong technical skills with a solid understanding of financial markets and a … and maintain automated data pipelines for ingestion, tagging, cleansing, and integration of financial text and structured data. Oversee and enhance quality control processes for financial content generated by large language models (LLMs), ensuring coherence, accuracy, and logical consistency. Collaborate with quant researchers and engineers to improve the performance, accuracy, and reliability of AI-driven models. Conduct descriptive and exploratory … problem-solving skills and the ability to communicate complex ideas clearly to both technical and non-technical audiences. Preferred Qualifications Experience with LLM fine-tuning, prompt engineering, or other NLP methodologies. Strong curiosity and motivation to explore new technologies and methodologies in data science and AI Strong understanding of macroeconomics, financial markets, and investment principles. Please note that if you More ❯

Virgin Atlantic. Guided by experienced data scientists and engineers across our central Data & AI team, you'll apply cutting-edge techniques to real-world challenges - from predictive modelling to natural language processing, from AI operations to ethical deployment. Alongside this, you'll gain a recognised qualification through the Cambridge Spark apprenticeship programme, with full support to help More ❯

software solutions. Experience in supply chain risk management is highly desirable. Hands-on technical experience with SaaS or AI-based solutions. A solid understanding of AI technologies (machine learning, natural language processing, etc.) and their application in business processes. Excellent verbal and written communication skills, with the ability to explain complex technical concepts to both technical and 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 ❯

of a multidisciplinary team enabling first-of-its-kind generative AI models on Qualcomm AI accelerator engines, including on-device text-to-image generation with stable diffusion and large language models like 7B on device. Qualcomm Customer Engineers work in a cross-functional environment supporting system software, tool development, maintenance, and evolution for ML SDKs tailored for Qualcomm processors … deployment, and applications Preferred Qualifications: Master's or PhD in Engineering, Computer Science, Physics, or related fields 4+ years Systems Engineering or related experience 2+ years experience with CV, NLP, and LLM architectures Knowledge of large-scale software architectural patterns Experience with MLOps, automation tools, containerization (Docker, Kubernetes), and ML lifecycle management Knowledge of Rust is a plus Experience with More ❯