51 to 75 of 86 Natural Language Processing Jobs in the South East

SOTA research in AI to develop applications. As such we would expect you to have: Effective communication skills Background in foundational Computer Vision/NLP Strong Software Engineering skills (3 years+) Developed LLM architecture and deployed LLM applications Uptodate with current trends in AI Some experience with applying latest techniques More ❯

looking for people who have expertise in hiring the best people in the world for software engineering or research domains such as Deep Learning, NLP, Computer Vision and Speech. Our core values Accuracy We embody accuracy and precision in every facet of our operations, extending from the meticulous selection of More ❯

towards optimal growth. In this role, you will be responsible for combining these otherwise disconnected datasets, and with the help of advanced machine learning, NLP & Computer Vision techniques, help uncover new consumer insights allowing our clients to gain knowledge and insights on consumer behaviour. You will play a key role … software leaders. · Experience in working with large datasets (> 1TB) · Able to implement production level coding practices, including unit testing and documentation · Proven experience building NLP & Computer Vision products with an engaged customer base · Experience researching and implementing latest scientific literature on NLP/CV and ML · Experience building prototypes and … experiments to validate technical ideas · Extensive knowledge of open-source NLP & CV libraries · Skilled at explaining the technical subject matter to non-technical audiences (in English) · Nice to have: Experience working on an agile software engineering team and working directly with Product Management teams; Azure Databricks, Microsoft Azure certification, Azure More ❯

SaaS products (ideally in MarTech or AI) Strong skills in React , Python or Node.js , ML pipelines , and cloud infrastructure (AWS/GCP) Familiarity with NLP , LLMs (GPT), and AI optimisation workflows Comfortable working in an early-stage, fast-paced startup environment Bonus: experience with containerisation (Docker, Kubernetes), PostgreSQL, and content More ❯

Machine Learning algorithms Expertise in building and applying large-scale (100M+ users) machine learning solutions for content feed ranking and personalizing recommendations. Expertise in NLP, Vision, behavior modeling and network analysis Key skills for the advertising domain (predictive modeling (CTR/CVR), multi-objective optimization, auction dynamics and behavioral targeting More ❯

Biology, preference being within Drug Discovery. Requirements: Strong proficiency in Python Experience with LLM development Experience in deploying ML models at scale Understanding of NLP Proven track record in productionizing ML models Benefits: Salary up to £160,000 Equity/share scheme 3 days onsite, 2 days remote Private medical More ❯

find out, and make your application. Requirements: Strong proficiency in Python Experience with LLM development Experience in deploying ML models at scale Understanding of NLP Proven track record in productionizing ML models Benefits: Salary up to £160,000 Equity/share scheme 3 days onsite, 2 days remote Private medical More ❯

PhD) in a quantitative field such as Data Science, Statistics, Mathematics, Physics, Engineering, or similar. Strong knowledge in statistics and experience with machine learning, NLP, or AI techniques is highly desirable. 2-6 years of relevant experience in quantitative research or quantitative trading within Crypto, Equities, or Macro. Additional Information More ❯

Software Engineering Manager | £110k – Java, Vue.js & AWS Are you ready to join an innovative tech house that leverages AI, Machine Learning, and NLP to revolutionize asset management? Imagine being part of a team that serves exciting industries like Formula 1 and you can directly impact the technical roadmap and strategy More ❯

looking for people who have expertise in hiring the best people in the world for software engineering or research domains such as Deep Learning, NLP, Computer Vision and Speech. Our core values Accuracy We embody accuracy and precision in every facet of our operations, extending from the meticulous selection of More ❯

with a strong Python background and hands-on experience with LLMs , Langchain , and full-stack product development. You’ll be: Designing & building production-grade NLP systems Integrating in-house and open-source models Collaborating with a cross-functional team of top engineers and product minds Working with tools e.g. Langchain More ❯

years of experience leading Data Science & Artificial Intelligence strategy. Proven experience designing and delivering solutions across Data Science and Artificial Intelligence, across Machine Learning, NLP and LLM. Excellent stakeholder experience, ability to communicate and cultivate c-suite. Prior experience taking ownership of budget, recruitment, and management. Previously led product development More ❯

Data Lake Storage Gen2, Azure Databricks, Azure Data Factory, Azure Synapse, Data Fabric. Azure certified Data Engineer/Architect Knowledge of Machine Learning and NLP unstructured data. Implemented ML platform in enterprise client experience of ML use-cases AIML Platforms: DataRobot, Dataiku, Anaconda, Sagemaker, Vertex etc. AIML Frameworks: MLFlow, KubeFlow More ❯

venture. Have fun 🙂 Apply if: You have experience building, evaluating and shipping AI products. You have hands-on experience working with LLMs, Agents, RAG, NLP, or applying Machine Learning to solve real-world problems. You enjoy diving deep into the domain, understanding the problem, and focusing on delivering value to More ❯

pioneering AI start up automating the legal side of property transactions worldwide. Our mission is to leverage the latest in Generative AI and Large Language Models, placing us at the forefront of advanced technology in this field. As a Technical Lead, you’ll guide a talented team of AI …/ML, software development, or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD … pipelines. Skilled in Python, React, Typescript, Kubernetes, Azure, and OpenAI technologies. A natural problem-solver with a talent for leading, motivating, and inspiring teams. Excellent communication skills and ability to bridge technical and non-technical stakeholders effectively. Brings a startup mindset: positive, adaptable, proactive, and thrives in a fast More ❯

clients achieve strategic goals through data and AI. Responsibilities Create and customize machine learning models, primarily using Azure AI services, for use cases like NLP, computer vision, speech recognition, and anomaly detection. Integrate Azure AI services with other Azure tools such as Azure Machine Learning, Azure Databricks, and Azure Cognitive … Search. Handle data ingestion, processing, and storage for AI and analytics applications. Design and develop AI agents for creating intelligent autonomous systems. Optimize performance, scalability, and reliability of ML solutions using best practices. Monitor and troubleshoot solutions with Azure AI Metrics Advisor, Azure Application Insights, and Azure Monitor. Engage More ❯

their performance Conduct and contribute to user testing and gather feedback to continuously improve product features Stay current with industry trends in AI, ML, NLP, and PAI/OSINT capabilities Act as the product owner in an agile environment, making prioritization decisions and managing the backlog Communicate product vision, strategy … English You get bonus points if you have any of the following: Technical background in data science, machine learning, or software development Experience with NLP technologies, information retrieval, or search systems Knowledge of OSINT or PAI methodologies and tools Experience in intelligence, security, or defense sectors Familiarity with cloud platforms … AWS, Azure, or GCP) and their ML/AI services Experience with large language models and generative AI technologies Background in leading cross-functional teams in a matrix organization Understanding of data privacy regulations and security considerations Experience with data visualization tools and best practices Knowledge of graph databases More ❯

cross-team learning. SKILLS AND EXPERIENCE Required Strong Python backend experience (Flask, Kafka, Docker, Kubernetes) 2+ years’ experience building or integrating AI (e.g. LLM, NLP) Clear passion for AI – side projects, research or professional experience Excellent communication, able to work with both technical and non-technical stakeholders Preferred Startup or More ❯

team with the hire of another Senior Data Scientist. Preferred skills and expertise include: Recommendation Systems, Segmentations, Forecasting, Casual AI, MMM (Media Mix Modeling), NLP, Computer Vision, LLMs, RAG, etc. Responsibilities Build and deploy effective statistical and machine learning models. Advise on proper Model Deployment infrastructure. Collaborate with a huge … in Computer Science, Statistics, or a similarly relevant area. Extensive commercial experience building Machine Learning & Data Science models for Recommender Systems, Pricing Elasticity, Forecasting, NLP, Computer Vision models, etc. Strong Model Deployment & software engineering skills to contribute to Machine Learning Engineering tasks. If this role interests you and you would More ❯

Data Scientist – AI & Machine Learning | Azure | London | Contract | Hybrid (3 Days Onsite) We’re hiring a Data Scientist on a contract basis to join our Digital Capabilities and Core Platform team in London. You’ll play a key role in More ❯

Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production using REST APIs, microservices, and Docker containers. Understanding of NLP, LLMs, and prompt engineering techniques. Proficient in version control, CI/CD pipelines, and test-driven development. Nice to Have: Experience within financial services or … tools (e.g., MLflow, Kubeflow, SageMaker). Understanding of regulatory or compliance frameworks. Academic background in mathematics, statistics, or quantitative disciplines. Who You Are: A natural problem-solver and independent thinker with a structured approach to work. Passionate about learning, growth, and continuous improvement. Organised and self-motivated, with excellent More ❯

team with the hire of another Principal Data Scientist. Preferred skills and expertise include: Recommendation Systems, Segmentations, Forecasting, Casual AI, MMM (Media Mix Modeling), NLP, Computer Vision, LLMs, RAG, etc. Responsibilities Build and deploy effective statistical and machine learning models. Advise on proper Model Deployment infrastructure. Mentor and guide other … in Computer Science, Statistics, or a similarly relevant area. Extensive commercial experience building Machine Learning & Data Science models for Recommender Systems, Pricing Elasticity, Forecasting, NLP, Computer Vision models, etc. Strong Model Deployment & software engineering skills to contribute to Machine Learning Engineering tasks. If this role interests you and you would More ❯

for the deaf community. This company is the first of its kind, using cutting-edge tech to translate digital and written content into sign language - making information truly accessible for everyone. They're small, scrappy, ambitious, and working on a platform that combines AI, microservices, and cloud-native infrastructure … one. Hybrid freedom: Mostly remote, with occasional travel to meet the team. What You'll Do Design and develop ML models from scratch for NLP, computer vision, or generative AI Collaborate with engineers and designers to ship end-to-end features Work across the stack (Python, backend, and some frontend … Work With ML & Data Science Python (primary language) TensorFlow, PyTorch, or Keras NumPy, pandas Data pipelines (Azure Data Factory, Airflow, etc.) Applied ML: NLP, CV, transformers, GANs, time series, etc. Engineering & Cloud Azure (or similar cloud platforms like AWS, GCP) Microservices and event-driven architecture Infrastructure as Code (Terraform More ❯

Key Responsibilities: Identify, develop, and deploy AI/ML strategies to address business challenges across content and audience platforms. Collaborate with stakeholders to implement NLP, computer vision, and generative AI applications in editorial workflows and media assets. Evaluate emerging AI tools and technologies for editorial, marketing, and operational efficiency. Drive … data-centric projects, enabling intelligent automation and personalised content delivery at scale. Experience Strong background in Machine Learning, Deep Learning, NLP, and Computer Vision. Experience with AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, spaCy, or similar. Familiarity with Large Language Models (LLMs) and generative AI applications More ❯

to customer behaviour. What You’ll Be Doing: ✅ Designing and deploying AI-driven personalisation models that create hyper-relevant customer experiences. ✅ Working with LLMs, NLP, deep learning, and recommendation systems to build AI that understands context, tone, and user intent . ✅ Developing scalable AI pipelines and integrating with cloud platforms … monitoring, and iteration. What We’re Looking For: 🔹 Strong Python skills – You know your way around TensorFlow, PyTorch, or Hugging Face. 🔹 Experience with LLMs, NLP, or recommendation algorithms . 🔹 Familiarity with MLOps, APIs, and scalable cloud solutions . 🔹 Passion for AI-powered personalisation and making tech feel more human. 🔹 A More ❯