26 to 50 of 74 Natural Language Processing Jobs in the UK excluding London

Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact. Experience with Docker and containerized deployments. Proficiency in deploying high availability applications on Kubernetes. Preferred: Experience deploying NLP or TTS models to production. What We Offer A dynamic environment where your contributions shape the company and its products. A team that values innovation, intuition, and drive. Autonomy, fostering More ❯

Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact. Experience with Docker and containerized deployments. Proficiency in deploying high availability applications on Kubernetes. Preferred: Experience deploying NLP or TTS models to production. What We Offer A dynamic environment where your contributions shape the company and its products. A team that values innovation, intuition, and drive. Autonomy, fostering More ❯

Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact. Experience with Docker and containerized deployments. Proficiency in deploying high availability applications on Kubernetes. Preferred: Experience deploying NLP or TTS models to production. What We Offer A dynamic environment where your contributions shape the company and its products. A team that values innovation, intuition, and drive. Autonomy, fostering More ❯

Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact. Experience with Docker and containerized deployments. Proficiency in deploying high availability applications on Kubernetes. Preferred: Experience deploying NLP or TTS models to production. What We Offer A dynamic environment where your contributions shape the company and its products. A team that values innovation, intuition, and drive. Autonomy, fostering More ❯

Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact. Experience with Docker and containerized deployments. Proficiency in deploying high availability applications on Kubernetes. Preferred: Experience deploying NLP or TTS models to production. What We Offer A dynamic environment where your contributions shape the company and its products. A team that values innovation, intuition, and drive. Autonomy, fostering More ❯

Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact. Experience with Docker and containerized deployments. Proficiency in deploying high availability applications on Kubernetes. Preferred: Experience deploying NLP or TTS models to production. What We Offer A dynamic environment where your contributions shape the company and its products. A team that values innovation, intuition, and drive. Autonomy, fostering More ❯

leaders to understand objectives and translate them into scalable AI models ️ Architect data pipelines to support machine learning workflows and model deployments ️ Evaluate and implement deep learning, computer vision, NLP, and predictive modeling solutions ️ Conduct risk assessments on AI implementations and mitigate compliance or ethical concerns ️ Partner with DevOps to integrate AI models into production systems with CI/CD More ❯

value. Location: London (3 days onsite) Contract: 6 Months (extension very likely) Rate: £400-450 (IIR35) Start date: ASAP What you'll do: Build and deploy AI models (LLMs, NLP, image recognition, predictive analytics) into business workflows. Prototype privacy-first solutions using techniques such as federated learning, differential privacy, and secure multi-party computation. Implement safeguards across the ML lifecycle More ❯

use AI tools where possible to help explore, analyse and transform data. What Youll Do Build Data Products & Algorithms: Prototype and refine predictive models (e.g., compliance forecasting, anomaly detection, NLP-based feedback analysis). Embed solutions into client dashboards and intelligent tools. Actively Participate in Innovation Labs: Lead the data science lifecycle: ideation ? prototype ? pilot. Use agile methods (sprints, MVPs … or PyTorch) essential; R (desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI: Classification, regression, clustering, forecasting; NLP (text mining, sentiment, LLM fine-tuning); GenAI frameworks Analytics & Visualisation: BI tools (Power BI, Tableau, Looker), interactive dashboards, prototypes Productisation & Deployment: APIs/microservices, Git/GitHub, Docker (Kubernetes advantageous More ❯

engineering Strong Python & SQL skills Experience with Google Cloud or similar Familiarity with unit testing , Git , and Agile Desirable: Experience with bioinformatics or scientific datasets Knowledge of Nextflow , Airflow , NLP , and Docker Exposure to AI/ML applications If the role aligns with your skills and experience, please apply with your updated CV More ❯

experience in IT management or applications leadership roles. A background in digital automation, process improvement, or AI-based solutions. Familiarity with AI technologies and their practical application (e.g., RPA, NLP, analytics). Excellent communication and stakeholder management skills. Solid grasp of CRM systems (Microsoft CRM preferred). Skilled in Microsoft 365 and middleware technologies (e.g., BizTalk). Degree in IT More ❯

experience in IT management or applications leadership roles. A background in digital automation, process improvement, or AI-based solutions. Familiarity with AI technologies and their practical application (e.g., RPA, NLP, analytics). Excellent communication and stakeholder management skills. Solid grasp of CRM systems (Microsoft CRM preferred). Skilled in Microsoft 365 and middleware technologies (e.g., BizTalk). Degree in IT More ❯

firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level programming skills in Python and strong understanding of software engineering best practices Experience deploying ML models to production in real-time or high-frequency environments Deep More ❯

M365 Copilot extensibility. Gen AI model strategy, adaptation, and LLMOps. AI safety, governance, and compliance-especially on Azure. Machine Learning at Scale Applied ML: time-series forecasting, tabular ensembles, NLP, recommendation/propensity models. MLOps: automated pipelines, registries, scoring, monitoring, and safe rollbacks. Responsible ML: bias/fairness testing, explainability, PII controls, human-in-the-loop, EU AI Act readiness. More ❯

source AI/ML tools to enhance business solutions continuously. Develop, deploy, and manage machine learning models aimed at solving complex real-world business problems. Utilize backend and data processing skills to manage both structured and unstructured datasets effectively. Prioritize AI implementation based on comprehensive business requirements and user feedback, ensuring … alignment with strategic goals. Communicate complex technical ideas to stakeholders across technical and non-technical backgrounds, ensuring clarity and actionable insights. Skills & Experience: Essential - Demonstrable experience in Machine Learning, NLP, and GenAI including LLM/SLM fine-tuning and prompt development. Proficiency in Python and data libraries such as Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow. Practical knowledge in SQL More ❯

stability. With a modern platform already in place, you'll have the freedom to push boundaries, experiment with cutting-edge optimisation, and explore opportunities to integrate machine learning and natural language interaction into next-generation solutions. Why this role stands out: Work on cutting-edge optimisation problems with direct impact on global supply chains. Join a well-funded … small, talented data science team where your contributions are highly visible. Opportunity to shape the product and roadmap, not just deliver incremental improvements. Freedom to explore machine learning and NLP alongside optimisation. Hybrid setup: 1-2 days a week in central London, with flexibility around the rest. Package: £70,000-£90,000 base salary, share options, and private healthcare. What More ❯

and set realistic expectations To be considered for the AI Technical Consultant you will: · Proven experience in creating, training, and fine-tuning LLMs/SLMs · Strong expertise in GenAI, NLP, and Machine Learning · Have 3 years + experience in AI positions · Hold previous hands-on experience with Python, Java, SQL/NoSQL databases · Have experience with API development, web scraping More ❯

and set realistic expectations To be considered for the AI Technical Consultant you will:· Proven experience in creating, training, and fine-tuning LLMs/SLMs· Strong expertise in GenAI, NLP, and Machine Learning· Have 3 years + experience in AI positions · Hold previous hands-on experience with Python, Java, SQL/NoSQL databases· Have experience with API development, web scraping More ❯

and full-stack integration, offering a unique opportunity to work at the intersection of innovation and impact. Key Responsibilities Define and implement safety metrics for generative AI systems, particularly language-based models. Conduct user research to identify risks, failure modes, and areas for improvement in AI applications. Integrate AI/ML components with frontend, backend, data pipelines, and compute … pipelines. Generate insights from GenAI datasets using machine learning and data analysis techniques. Qualifications Experience conducting user research in software development contexts. Solid understanding of generative AI and large language models. Proficiency in Python, including testing and development workflows. Familiarity with agile methodologies and … working in agile development environments. Strong grasp of modern software development tools and practices (e.g., Git/GitHub). Experience deploying AI/ML-powered applications, especially those involving NLP, language models, or agent-based frameworks (e.g., LangGraph, PydanticAI, AutoGen). Background in user research specific to AI applications. Knowledge of AI/ML evaluation techniques, including safety and More ❯

To be considered for the AI Engineer you will:· Have a degree or Master's degree · 1-2 years of experience within AI roles Have experience in Machine Learning, NLP, and GenAI Be proficient in Python and data libraries Maintain previous experience with SQL/NoSQL databases Have experience in API development/integrationAbility to analyze model performance In return More ❯

product development, ideally in regulated industries. Sector Knowledge: Financial services, consulting, or technology background with a focus on transformation. Technical Understanding: Familiarity with AI/ML technologies (generative AI, NLP, MLOps, data governance). Business Acumen: Ability to identify high-impact AI use cases aligned to business strategy. Governance Awareness: Strong understanding of risk, compliance, and model governance in a More ❯

Graduate IT Engineer, Bershire, 35-38k SaaS, Cloud, AI, Machine Learning, IOT, NLP, Data, Telecoms, Technology As a Graduate IT Engineer, you will Deliver exceptional technical support from first contact through to resolution. Work with customer-facing tech teams to help configure and provision cloud-based communication services. Gain hands-on experience in a real-world, fast-moving technical More ❯

following as possible: SQL Azure (Key Vault/Data Factory/Data Lakes) Power Apps CRMs (ideally D365) Ideally existing/eagerness to gain knowledge across Machine Learning/NLP Solid analytical mindset as well as communication skills to be able to work with people at all levels Ability to work as part of a team, sharing knowledge and using More ❯

Intelligence Innovation and Technology is seeking to recruit a senior researcher to join our rapidly expanding Data and Decision Support Capability. The right candidate will join our Advanced Information Processing (AIP) group, specialising in developing novel inference algorithms and the application of AI/ML to sequential data and decision making. You will have the opportunity to deliver a … teams working across AI/ML areas such as RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, autonomy, image analysis and computer vision, generative AI, NLP, knowledge graphs and more. You will work with these colleagues in multi-disciplinary teams. Typical Responsibilities Lead technical delivery of projects, leading junior researchers. Prepare and deliver technical reports, proposals … Project Management teams that design and implement defence solutions and digital transformation projects. Company BAE Systems Experience and Education Senior (5+ years of experience) Tagged as: Industry, Machine Learning, NLP, United Kingdom More ❯

algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Machine Learning Engineer, timeseries, forecasting, VertexAI, GCP Reasonable Adjustments: Respect and equality are core values to us. We More ❯