76 to 100 of 151 Natural Language Processing Jobs in the UK

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 ❯

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 ❯

looking for: Strong Python expertise with a track record of building complex systems. Previous experience in a leadership/mentoring capacity. Exposure to AI/ML applications (RAG, LLMs, NLP, or related areas is a bonus). Knowledge of modern cloud infrastructure (AWS/GCP/Azure) and DevOps practices. Passion for building, scaling, and making an impact in a 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 ❯

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 ❯

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 ❯

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 ❯

or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits We are a well treated bunch, with awesome benefits! If there's something important to you that More ❯

or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits We are a well treated bunch, with awesome benefits! If there's something important to you that More ❯

Qualifications Experience Strong coding skills in Python, including libraries such as pandas, scikit-learn, TensorFlow, or PyTorch Expert in Python and ML frameworks (PyTorch, TensorFlow, Sklearn), with experience across NLP, computer vision, and LLMs Strong statistical and experimental design background, including A/B testing and causal inference Experience working with SQL and large-scale datasets Excellent communication skills and … GCP, Azure) and tools like Databricks, Snowflake, or BigQuery Desirable Skills Familiarity with MLOps, model monitoring, and production deployment Experience in a specific domain (e.g., marketing, operations, fraud, personalization, NLP) is a plus Hands-on experience with LLM stacks (e.g., Mistral, LangChain, Chroma, Hugging Face Transformers) Interest in staying current with AI trends and contributing to internal R&D or 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 ❯

our mission and shape the future! Why this role? As a Performance Engineer in the Pre-Training team you will be responsible for optimizing the performance of our advanced language models and systems. Their primary focus is on improving key model training metrics, such as training throughput, ensuring high accelerator utilization. The team combines expertise in software engineering, machine … enhance model performance. You will work on identifying and removing performance bottlenecks, develop cutting-edge training and profiling tools to help Cohere's mission of providing efficient and reliable language understanding and generation capabilities and drive innovation in the field of natural language processing. Please Note: We have offices in London, Toronto, San Francisco, New York but More ❯

/Remote: Flexible but with regular London meetings ?? Location: UK-based (preferably London) We're looking for a Data Science Engineer to join a fast-moving team working on NLP pipelines and data at scale. This is a great opportunity for someone passionate about impactful data work and modern AI tools. What We're Looking For: ? 1+ years' experience in 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 ❯