276 to 300 of 329 Natural Language Processing Jobs

AWS cloud - Collaborate closely with data scientists, MLOps and backend engineers to build and manage infrastructure and services for training and deployment of a diverse set of ML and NLP models - Build and maintain batch and real-time feature computation pipelines capable of processing complex structured and unstructured data using technologies such as Spark, Apache Airflow, AWS SageMaker etc. … as feature engineering/storage solutions, model training/monitoring and ML inference services - Proficiency in creating and optimizing high-throughput ETL/ELT pipelines using a Big Data processing engine such as DataBricks Workflows, Spark, Flink, Dask, dbt or similar - Experience building software and/or data pipelines in the AWS cloud (SageMaker Endpoints, ECS/EKS, EMR More ❯

the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that can read, understand, and structure complex documents at scale. … projects and internships count!) Solid Python skills and familiarity with libraries like PyTorch, TensorFlow, or Hugging Face Transformers Understanding of basic ML concepts and data preprocessing techniques Interest in NLP, unstructured data, and information extraction Eagerness to learn, take feedback, and contribute to a collaborative team Nice to Have: Experience with SQL/NoSQL databases Familiarity with MLOps tools (Docker … Git, CI/CD) Exposure to vector databases or semantic search Knowledge of financial datasets or document processing workflows If you’re excited to grow your skills in machine learning and work on technology that helps people understand complex data — we’d love to hear from you. Apply now and start your journey building the future of data-driven More ❯

the best of both worlds. You’ll be working on a platform that transforms unstructured private market data into actionable insights — learning how to design ML pipelines, fine-tune NLP models, and deploy solutions that really work in production. In this role, you’ll help train, test, and optimise models that can read, understand, and structure complex documents at scale. … projects and internships count!) Solid Python skills and familiarity with libraries like PyTorch, TensorFlow, or Hugging Face Transformers Understanding of basic ML concepts and data preprocessing techniques Interest in NLP, unstructured data, and information extraction Eagerness to learn, take feedback, and contribute to a collaborative team Nice to Have: Experience with SQL/NoSQL databases Familiarity with MLOps tools (Docker … Git, CI/CD) Exposure to vector databases or semantic search Knowledge of financial datasets or document processing workflows If you’re excited to grow your skills in machine learning and work on technology that helps people understand complex data — we’d love to hear from you. Apply now and start your journey building the future of data-driven More ❯

fundamentals, 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 areas (e.g. NLP, Transfer Learning) and modern Deep Learning algorithms (e.g. BERT, LSTM) 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 (standardisation, normalisation, handling missing data) Solid understanding of statistics; hypothesis testing, probability distributions, sampling techniques Private Health Care with AXA Kingfisher Pension Scheme with auto-enrolment 25 Days' Holiday plus bank holidays Staff Discount at B&Q and Screwfix Kingfisher Share Incentive Plan (SIP) Life Assurance Bonus scheme Kingfisher Share Save Behaviours Be Customer More ❯

experience. Design, develop, test, and deploy enterprise applications using Microsoft technologies. Build secure fintech workflows aligned with compliance (GDPR, OAuth, encryption). Integrate and deploy AI/ML components (NLP and recommendation systems). Collaborate in an Agile (Scrum/Kanban) environment with technical and business teams. TECH STACK/REQUIREMENTS Strong experience with .NET, C#, Azure, Power Platform Proven … background building secure enterprise/banking systems AI/ML integration proficiency (NLP, recommendation systems) Compliance awareness Cloud deployment experience (Azure/AWS) - highly desirable Backend development using other languages such as Python, Java - highly desirable SQL/NoSQL database design & optimisation - desirable DevOps (CI/CD pipelines, Docker, Kubernetes) - desirable TO BE CONSIDERED... Please apply directly by emailing with More ❯

to position search as a differentiator. Support commercial packaging and pricing decisions that drive customer retention and upsell opportunities. Innovation & Technical Acumen Translate AI/ML advances (e.g., large language models, contextual embeddings) into clinician-ready solutions. Serve as a thought leader on search architecture and search UX within the broader ClinicalKey ecosystem. Qualifications 10+ years in product management … digital health . Proven success launching and scaling search or discovery products that deliver measurable customer impact. Strong understanding of AI-powered search technologies (e.g., vector search, semantic ranking, NLP). Exceptional stakeholder management and executive communication skills. Empathy for clinicians and a relentless focus on reducing cognitive and workflow friction. Master's degree in a technical field (e.g., Computer More ❯

Product Owner - Insurance/Reinsurance/Financial Services/Fintech (AI/ML/NLP)| Hybrid - Bristol (2-3 Days Onsite) Salary: £50,000 - £65,000 + Benefits Are you an experienced Product Owner who thrives on driving innovation in complex, data-rich environments? Want to work at the cutting edge of insurance technology with a team shaping the future … At least 5 years of experience as a Product Owner or similar, ideally within the insurance or fintech sector. You must have good knowledge in AI, Machine Learning or NLP Background in computer science, data science, economics, or a related field would be preferred. Strong problem-solving, conceptual thinking, and analytical skills. Solid understanding of service-oriented architecture and Agile More ❯

on JupyterLab and designed specifically for financial markets. As the centralized BQuant Research team, we drive product innovation through cutting-edge research in generative AI, agentic workflows, machine learning, NLP, and quantitative finance. We work across asset classes and market domains to prototype next-generation solutions for buy-side and sell-side institutions (hedge funds, asset managers, and investment banks … external clients We'd like to see : Research experience in multi-asset and cross-asset strategies, with preference for FI and Macro Deep curiosity and passion for generative AI, NLP, and agentic workflow automation in finance A track record of overcoming complex technical and financial challenges through collaboration and innovation Salary Range = 155000 - 285000 USD Annually + Benefits + Bonus More ❯

Shape the Future of AI-Ready Research Computing Position: DevOps Engineer (Research Computing & AI) Location: London Department: Advanced Research Computing & AI Order of skills/experience for the role: Linux/Window system administrator AWS cloud computing/Azure/ More ❯

data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications - especially using language models or NLP Experience with Kubernetes and Google Kubernetes Engine would be an advantage More ❯

data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications - especially using language models or NLP Experience with Kubernetes and Google Kubernetes Engine would be an advantage More ❯

data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience Knowledge of AI/ML approaches and deployment of AI/ML powered applications - especially using language models or NLP Experience with Kubernetes and Google Kubernetes Engine would be an advantage More ❯

Technical Support Engineer/Graduate IT Engineer 35-38k, Trainee. SaaS, Cloud, NLP, AI, Machine Learning, Data Science, Python, MATLAB, Software Development Tools, Technical Support, Client facing, Computer Science, STEM, Mathematics, Physics, Natural Science, Electronic Engineering Graduate, who want to work with awesome Technologies such as, AI, Machine2Machine Learning, Cloud Applications, Unified Communications, Software Solutions IT Security, and … The Person :Technical Support Engineer/Graduate Software Developer 2:1 Bachelors Degree in Computer Science/STEM/Mathematics/Physics/Chemistry/Electronic/Electrical Engineering, Natural Science, Learning and Developing their skills, (Life learner attitude) Experience communicating technical information to a variety of technical and non-technical people Experience or knowledge of database query language More ❯

Machine Learning Lead - Agentic AI, NLP & Generative AI Central London (Hybrid - 3 days/week in office) Up to £120,000 Shares + Benefits A fast-growing Data & AI Product-based company at the forefront of cutting-edge AI solutions are looking for an ML Lead to join the team and spearhead a number of ambitious products, shaping the architecture … direction, and delivery of advanced AI and Machine Learning initiatives. What youll do Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art research into production. Evaluate … in model deployment, evaluation, and optimisation. What were looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs More ❯

to building cutting edge AI that is operationally relevant, solving real problems, to drive real outcomes. This is a unique time to join Adarga. With our foundations set in NLP, computational linguistics and graph technology we now draw on the latest ideas in generative AI and knowledge representation, as we set our sights firmly on defining and building the next … continuously exploring ways to apply emerging techniques and tools to deliver better outcomes for users. Skills and Qualifications Advanced degree (Master's or PhD) in Computer Science, Machine Learning, NLP, or a related technical field. 3+ years of hands-on experience applying machine learning in production settings, ideally within enterprise or mission-critical environments. Practical expertise with Generative AI techniques … fine-tuning and evaluating large language models (LLMs), building RAG pipelines, and experimenting with agentic AI workflows. Strong Python development skills and familiarity with modern ML and NLP frameworks and tooling (e.g. Hugging Face, spaCy, PyTorch, Scikit-learn). Familiarity with Kubernetes and infrastructure for deploying and scaling ML models is a plus. Exposure to systems integration challenges (e.g. More ❯

about building innovative AI solutions and thrive in a fast-paced, mission-driven environment, this opportunity is for you. RESPONSIBILITIES Design, develop, and deploy AI models using machine learning, NLP, and computer vision to meet mission needs. Assess feasibility, viability, and costs of AI solutions, ensuring alignment with mission objectives. Support enterprise data architecture and governance to ensure data quality … integration strategies for AI within existing IT frameworks, tailored to Agile methodologies. Support project management, including selecting development methodologies and coordinating meetings. Translate complex AI concepts into clear, actionable language for diverse stakeholders. Develop white papers, executive summaries, and presentations to communicate AI initiatives. Assist in tracking project schedules, costs, and risks, and contribute to Program Management Reviews. REQUIREMENTS … s degree with 8 years, or High School diploma with 12 years of relevant experience in AI, data science, or program management. Proficiency in AI technologies, including machine learning, NLP, and computer vision. Experience with enterprise data governance and policy development. Familiarity with U.S. Government AI standards and compliance frameworks. Strong communication skills for technical and non-technical audiences. Experience More ❯

with clients and Bloomberg partners. We are seeking an experienced and creative Business Analytics/Qlik Developer passionate about advancing traditional BI with cutting-edge AI/ML and NLP capabilities available in Qlik Cloud. In this role, you'll help shape an AI-ready data ecosystem, build resilient analytics pipelines, and support compliance efforts with emerging regulations like DORA. … the Engineering COO team to design, develop, and implement business analytics solutions using Qlik Sense Enterprise and Qlik Cloud. Design and enhance Qlik applications to support AI-driven analytics, NLP, and ML-powered predictive insights. Collaborate on building an AI-ready data infrastructure that supports advanced analytics as the organization grows into Qlik Cloud. Ensure data integrity, quality, and effectiveness … gathering business requirements and managing project scope. Excellent organizational and multitasking skills. We'd love to see: Exposure to Qlik Cloud's advanced features including Insight Advisor, AutoML, and NLP dashboards. 5+ years of database expertise, including advanced SQL and dimensional modeling. Consulting experience with demonstrated success solving diverse analytics challenges across multiple organizations, industries, or functions Experience with Qlik More ❯

a fast-growing analytics team that’s redefining how a global insurer operates. This role is about building intelligent automation solutions that combine AI, machine learning and advanced data processing to transform business performance. Role Overview: Location: Hybrid/Central London Package: £80,000–£100,000 per annum Performance Bonus Benefits Industry: Insurance What You’ll Be Doing: Partner … opportunities and shape new projects. Lead the design and delivery of AI-driven automation solutions across underwriting and claims. Act as subject matter expert for intelligent automation technologies including NLP, OCR/IDP, computer vision and LLMs. Manage and mentor offshore resources, ensuring quality and speed of delivery. Build proof-of-concepts that demonstrate real business value from AI. Support More ❯

deliver results and show a desire to develop themselves, their team, and their career. BASIC QUALIFICATIONS - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - PhD - Knowledge of machine learning approaches and algorithms - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including … models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers - Japanese language ability Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application More ❯

of ambitious projects, shaping the architecture, direction, and delivery of advanced AI initiatives. What you’ll do Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art … model deployment, evaluation, and optimisation. What we’re looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs … team shaping the future of intelligent systems, apply now. Machine Learning Lead Central London (Hybrid - 3 days/week in office) Up to £120k Shares Benefits ML, Agentic AI, NLP, Generative AI, Python, Leadership More ❯

drive innovation in the BioTech space - specifically around drug discovery and RNA sequencing ROLE AND RESPONSIBILITIES Working closely within a small team, to design and build models across LLMs, NLP and Computer Vision Working alongside technical and non-technical stakeholders, creating insights and reports on key findings Driving the latest innovative research in AI, building and deploying core projects onto … platforms SKILLS AND EXPERIENCE MSc or PhD in STEM/AI related subject Proficiency in Python, SQL and DevOps & CI/CD Experience in Computer Vision/LLMs/NLP is required Background in HealthTech, BioTech, PharmaTech is a large benefit but otherwise any tech company working on the projects above Excellent communication skills with proven experience working with stakeholders More ❯

drive innovation in the BioTech space - specifically around drug discovery and RNA sequencing ROLE AND RESPONSIBILITIES Working closely within a small team, to design and build models across LLMs, NLP and Computer Vision Working alongside technical and non-technical stakeholders, creating insights and reports on key findings Driving the latest innovative research in AI, building and deploying core projects onto … platforms SKILLS AND EXPERIENCE MSc or PhD in STEM/AI related subject Proficiency in Python, SQL and DevOps & CI/CD Experience in Computer Vision/LLMs/NLP is required Background in HealthTech, BioTech, PharmaTech is a large benefit but otherwise any tech company working on the projects above Excellent communication skills with proven experience working with stakeholders More ❯

have expertise in both UI/UX design and front-end development with proficiency in ReactJS or AngularJS, as well as experience with Python and machine learning (ML/NLP) libraries. This role requires a combination of design skills, technical acumen, and the ability to work seamlessly in an Agile/Scrum development environment. Key Responsibilities UI/UX Design … Creative Suite, and prototyping tools. 8+ years of experience working with front-end frameworks, specifically ReactJS or AngularJS. 7+ years of coding experience in Python, with proficiency inML/NLP libraries. Proven ability to create wireframes, prototypes, and mockups to communicate design concepts effectively. Technical Skills: Proficiency in HTML, CSS, and JavaScript. Strong familiarity with Agile/Scrum development processes More ❯

reports and manage stakeholder expectations at all levels. Technical Contributions Hands-on experience designing, testing, and optimising prompts for AI language models (e.g., GPT, BERT). Familiarity with NLP techniques for classification, entity recognition, categorisation, and text generation. Develop and maintain reusable AI prompt components to automate and optimise business processes. Design and implement prompt engineering solutions to improve More ❯

with Javascript. Vue.js or a similar Javascript framework. Integrating UIs with REST APIs. HTML, CSS, Responsive Web Design. Automated testing Desired Skills: Experience developing with Go Experience with distributed processing solutions for building and maintaining data pipelines such as Spark Experience working with … and debugging GPU-enabled applications Experience with metrics and monitoring tools such as Elasticsearch and Kibana Experience with the Atlassian Suite of Tools including Jira and Confluence Understanding of NLP Concepts including tokenization, embeddings and transformers Familiar with LLMs (Large Language Models) such as GPT-4, Mistrel and Llama Familiar with Vector databases including Quadrant Education/Experience: Master More ❯