226 to 250 of 360 Natural Language Processing Jobs in England

and conduct large-scale experiments to test hypotheses and drive product development Keep up to date with pioneering research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc. Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc) Qualifications Skills and experience Significant experience (3+ years) working as a … and non-technical stakeholders Passion for learning new skills and staying up-to-date with ML algorithms Bonus points Experience with Databricks and PySpark Experience with deep learning & large language models Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch) Experience working with AWS or another cloud platform (GCP/Azure) Additional Information Health + Mental Wellbeing PMI More ❯

and conduct large-scale experiments to test hypotheses and drive product development Keep up to date with pioneering research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc. Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc) Qualifications Skills and experience Significant experience (3+ years) working as a … and non-technical stakeholders Passion for learning new skills and staying up-to-date with ML algorithms Bonus points Experience with Databricks and PySpark Experience with deep learning & large language models Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch) Experience working with AWS or another cloud platform (GCP/Azure) Additional Information Health + Mental Wellbeing PMI More ❯

and they need backend engineering specialists who thrive in complexity. This is a unique opportunity to build adaptable, containerised backend systems to support real-time inference, transcription pipelines, and natural-language interaction layers, enabling operational decisions in demanding environments. What You’ll Be Doing: Architecting and implementing secure backend services to support AI deployments in classified settings Developing … and real-time insight generation capabilities Supporting graph and RAG-based inference pipelines using structured and unstructured data Exposing robust APIs for frontend engineers to deliver interactive dashboards and NLP-driven workflows Ensuring system portability via containerisation (Kubernetes, Docker) Collaborating closely with data scientists to integrate self-hosted LLMs and analysis models Working with platform engineers to optimise performance in More ❯

Software Engineering Manager | 110k Java, Vue.js & AWS Join an innovative tech company leveraging AI, Machine Learning, and NLP to transform asset management. Work with industries like Formula 1 and influence the technical roadmap of a growing organization. This SaaS provider applies cutting-edge technologies to regulated industries, creating actionable insights from industrial data to improve safety, reliability, and productivity. Responsibilities More ❯

independently in a hybrid, agile environment Nice to Have Experience with LangChain, LlamaIndex, or similar orchestration tools Exposure to cloud platforms (AWS/GCP) and containerisation (Docker) Familiarity with NLP evaluation metrics and safety frameworks More ❯

successful AI Engineer will have the following skills and experience: Strong Python with AI/ML exposure Experience with LLMs, RAG pipelines, document extraction Prior work with multimodal data (NLP, CV, tabular) THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits. HOW More ❯

successful AI Engineer will have the following skills and experience: Strong Python with AI/ML exposure Experience with LLMs, RAG pipelines, document extraction Prior work with multimodal data (NLP, CV, tabular) THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits. HOW More ❯

successful AI Engineer will have the following skills and experience: Strong Python with AI/ML exposure Experience with LLMs, RAG pipelines, document extraction Prior work with multimodal data (NLP, CV, tabular) THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits. HOW More ❯

+ MySQL + Twig Native Android & iOS apps connected via a TypeScript REST API Hosted on AWS with Docker containers + CDK orchestration A custom-built machine learning/NLP engine for smart content curation Integration with multiple third-party APIs for distribution and analytics About You You're not just a developer -you're a problem solver, architect, and More ❯

Are familiar with statistical methodologies. Have good communication skills Nice to have Experience with transport industry and/or geographical information systems (GIS) Experience with cloud infrastructure Understanding of NLP algorithms and techniques and/or experience with Large Language Models (fine tuning, RAG, agents) Experience with graph technology and/or algorithms Our technology stack Python and associated More ❯

Are familiar with statistical methodologies. Have good communication skills Nice to have Experience with transport industry and/or geographical information systems (GIS) Experience with cloud infrastructure Understanding of NLP algorithms and techniques and/or experience with Large Language Models (fine tuning, RAG, agents) Experience with graph technology and/or algorithms Our technology stack Python and associated More ❯

agency is seeking a Lead Data Scientist to develop and deploy end-to-end AI solutions. You'll work on machine learning models for retention, price optimisation, recommendation engines, NLP, and Computer Vision. Responsibilities: Design, develop, and productionize machine learning models across various applications. Work with Python (ideally production-level code) and other tools like SQL, Spark, and Databricks. Apply … clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Implement MLOps/DevOps practices in cloud environments (AWS, Azure, GCP). Ensure explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business challenges into data-driven solutions. Requirements: MSc or PhD Degree in Computer Science, Artificial … Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure/GCP, CI/CD, and Agile development Ability to own solutions and manage stakeholders How to Apply: Please register your interest by sending your CV to More ❯

agency is seeking a Lead Data Scientist to develop and deploy end-to-end AI solutions. You'll work on machine learning models for retention, price optimisation, recommendation engines, NLP, and Computer Vision. Responsibilities: Design, develop, and productionize machine learning models across various applications. Work with Python (ideally production-level code) and other tools like SQL, Spark, and Databricks. Apply … clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Implement MLOps/DevOps practices in cloud environments (AWS, Azure, GCP). Ensure explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business challenges into data-driven solutions. Requirements: MSc or PhD Degree in Computer Science, Artificial … Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure/GCP, CI/CD, and Agile development Ability to own solutions and manage stakeholders How to Apply: Please register your interest by sending your CV to More ❯

Artificial Intelligence. As a Senior AI Software Engineer, you will work at the intersection of software engineering and AI, focusing on building the systems for deploying, scaling and monitoring NLP and Gen AI applications in production as well as optimizing and improving the core document AI strategies. You will have the opportunity to be immersed within our iManage product suite … of our customers, come and join the Applied AI team. iM Responsible For Delivering robust, fully tested, maintainable software that impacts end users Designing and implementing production-ready scalable NLP applications and APIs Developing monitoring and observability solutions and integration testing frameworks Conducting code reviews and providing constructive feedback to team members Ensuring the scalability, performance, and reliability of AI … degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Statistics or related field 3+ years of experience in ML/AI engineering, or software engineering with expertise in NLP Experience with AI/ML infrastructure, distributed training and a track record of building and deploying ML systems at scale Solid understanding of AI system design principles and experience with More ❯

Integrating large and diverse datasets from panels, census-level sources, digital platforms, and global partners. Developing GPU-powered algorithms for high-performance modelling at scale. Exploring applications of Large Language Models (LLMs) in media and measurement contexts. Designing and implementing machine learning solutions that enhance our product capabilities and operational intelligence. As part of a collaborative and technically strong … science or analytics). Bonus: experience in at least one of the following areas: Working with Marketing Mix Models (MMMs) Practical applications of Large Language Models (LLMs) or NLP Understanding of web technologies and identifiers (e.g. cookies, device IDs, MAIDs, etc.) Our offer At Kantar we have an integrated way of rewarding our people based around a simple, clear More ❯

Integrating large and diverse datasets from panels, census-level sources, digital platforms, and global partners. Developing GPU-powered algorithms for high-performance modelling at scale. Exploring applications of Large Language Models (LLMs) in media and measurement contexts. Designing and implementing machine learning solutions that enhance our product capabilities and operational intelligence. As part of a collaborative and technically strong … science or analytics). Bonus: experience in at least one of the following areas: Working with Marketing Mix Models (MMMs) Practical applications of Large Language Models (LLMs) or NLP Understanding of web technologies and identifiers (e.g. cookies, device IDs, MAIDs, etc.) Our offer At Kantar we have an integrated way of rewarding our people based around a simple, clear More ❯

and conduct large-scale experiments to test hypotheses and drive product development. Keep up to date with pioneering research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc. Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc.) Qualifications: Significant experience (3+ years) working as a Machine Learning Scientist … and non-technical stakeholders. Passion for learning new skills and staying up-to-date with ML algorithms. Bonus points: Experience with Databricks and PySpark. Experience with deep learning & large language models. Experience with traditional, semantic, and hybrid search frameworks (e.g., Elasticsearch). Experience working with AWS or other cloud platforms (GCP/Azure). Additional information: Health & Mental Wellbeing More ❯

and conduct large-scale experiments to test hypotheses and drive product development Keep up to date with pioneering research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc. Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc) Qualifications Significant experience (3+ years) working as a Machine Learning Scientist … and non-technical stakeholders Passion for learning new skills and staying up-to-date with ML algorithms Bonus points Experience with Databricks and PySpark Experience with deep learning & large language models Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch) Experience working with AWS or another cloud platform (GCP/Azure) Additional Information Health + Mental Wellbeing PMI More ❯

and conduct large-scale experiments to test hypotheses and drive product development Keep up to date with pioneering research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc. Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc) Qualifications Significant experience (3+ years) working as a Machine Learning Scientist … and non-technical stakeholders Passion for learning new skills and staying up-to-date with ML algorithms Bonus points Experience with Databricks and PySpark Experience with deep learning & large language models Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch) Experience working with AWS or another cloud platform (GCP/Azure) Additional Information Health + Mental Wellbeing PMI More ❯

for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real … working in a multicultural work environment. It's Great if You Have PhD or MSc in Computer Science/Operations Research/Statistics or other quantitative fields. Experience in NLP, image processing and/or recommendation systems. Hands on experience in data engineering, working with big data framework like Spark/Hadoop. Experience in data science for e-commerce More ❯

with the ability to build simulations and prototype data products. Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. Deep experience in developing sophisticated customer segmentation models including predictive LTV modeling. Experience working within a two-sided marketplace, e More ❯

Data, LLMs & MLOps About the Role We're an ambitious, fast-moving tech company developing next-generation solutions at the intersection of advanced Machine Learning, Big Data, and Large Language Models (LLMs). We're looking for a hands-on Senior ML & AI Backend Engineer to design and build the robust backend systems that make our AI products possible. … and LLMs in production. Design, build, and maintain end-to-end ML pipelines, championing MLOps best practices for deployment, monitoring, and iteration. Develop solutions for big data storage and processing, ensuring data quality, security, and efficiency. Integrate and optimize both classical ML models and LLMs for real-world use cases. Research and experiment with state-of-the-art algorithms … GraphQL), with solid experience in microservices and databases (SQL/NoSQL). You know your way around big data tools (Spark, Dask) and orchestration (Airflow, DBT). You understand NLP and have experience working with Large Language Models. You're cloud-savvy (AWS, GCP, or Azure) and comfortable with containerization (Docker, Kubernetes). You have strong problem-solving and More ❯

proposal writing (e.g. DSTL, NS, EPSRC). A background in Aerospace, Defence or Public Sector consulting. Experience in one or more of: AI/ML for imagery, Reinforcement learning, NLP, LLM, Knowledge graphs, RF, Radar, Sonar or acoustics. AI Tech Lead key details: Up to £80k salary Up to 10% performance bonus. 2 Days a week in Chelmsford office. Must More ❯

experience with deep exposure to AI/Machine Learning domains. Successful track record placing engineers and researchers at elite organisations. Deep understanding of AI subfields including computer vision, robotics, NLP, and applied ML. Strong technical fluency. You can go beyond buzzwords and calibrate for real-world ability. Highly autonomous, detail-oriented, and commercially sharp. Passionate about using AI for real More ❯

and scalability. Conduct experiments to refine evaluation methodologies, staying current with emerging techniques to enhance model reliability. Minimum qualifications: A degree in Computer Science or related field; PhD in NLP, Machine Learning, or a related area with publications in top conferences preferred. Experience designing and evaluating AI models across lifecycle stages, with proficiency in developing evaluation frameworks. Strong programming skills More ❯