151 to 175 of 273 Natural Language Processing Jobs in the UK

of ex-Palantir and ex-OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to More ❯

similar frameworks Strong coding abilities in Python Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms. Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs Publication track record in machine learning conferences and/or journals Preferred Qualifications Significant post-graduate research experience, or five or more More ❯

ex-Palantir and ex-Open AI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, Generative AI, and reinforcement learning technologies. Position location (hybrid): London (Shoreditch) or Paris (Le Marais) We are seeking Full Stack Engineers who are passionate about using technology to solve complex More ❯

ex-Palantir and ex-Open AI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, Generative AI, and reinforcement learning technologies. Position location (hybrid): London (Shoreditch) or Paris (Le Marais) We are seeking Full Stack Engineers who are passionate about using technology to solve complex More ❯

document schemas, metadata, hybrid/dense retrieval, re-ranking, and grounding. Manage vector/keyword indexes (e.g., Azure AI Search , pgvector, Pinecone/Weaviate). Develop and deploy advanced NLP, information retrieval, and recommendation systems that enhance Chambers and Partners’ research and product offerings, including document understanding, automatic summarisation, topic modelling, semantic search, entity recognition, and relationship extraction. Design and More ❯

a trusted expert and a strategic thinker who can translate complex technical concepts into business value. You'll need: A strong foundation in AI/ML technologies including GenAI, NLP, computer vision and automation, with hands-on experience in platforms like Palantir, Agentforce, Copilot and Azure Data Intelligence Proven experience designing and implementing AI solutions across multiple domains, ideally within More ❯

structures for describing regulation to create a regulatory commons. Our team benefits from a strong connection to the University, bringing together deep expertise in scaling tech start-ups, developing NLP/ML models, and collaborating with regulatory communities. Backed by £15 million in funding, we have established a solid product-market fit and are experiencing significant commercial traction with global More ❯

efforts, considering the roadmaps and needs of multiple product teams, the Applied AI Center of Excellence (COE), and DataOps/MLOps requirements and efforts Using your existing knowledge of NLP, topic modelling, recommendation, classification and generative AI, you will identify opportunities to improve our existing AI models Leveraging your extensive experience in model deployment and maintenance, and collaborating with the … sequence analysis, forecasting and trend analysis Experience in building and deploying reproducible, production ready AI/ML models at scale, coupled with solid data engineering skills Prior knowledge of NLP and Generative AI is essential Experience in working with large datasets from tech platforms, e commerce, or SaaS products. Experience in use of behavioural data and AI/ML methods More ❯

and agentic models into real-world forecasting and product platforms. What youll do: Lead a high-performing team of data scientists and engineers Drive AI innovation using LLMs, CV, NLP & generative models Oversee architecture of scalable, cloud-native data platforms Partner with product, tech, and commercial leaders to deliver impact Ensure strong data governance, performance, and ethical AI practices What More ❯

teams on effective AI adoption and usage. Contribute to the development of scalable prototypes and production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). LLM experience Strong problem-solving and collaboration skills. Ability to communicate technical concepts clearly to non More ❯

of commercial experience in a Data Science role building statistical & machine learning models. Have built and deployed machine learning models in production. Excellent use of Python Particular experience in NLP, LLMs, and RAGs are highly prized given the focus on these projects. CI/CD & MLOps experience is valued Databricks experience is valued If this role interests you and you More ❯

modeling, warehousing, and architecture principles (Kimball/Inmon). Develop pipeline programming using Python, Spark, and SQL; integrate APIs for seamless workflows. Support Machine Learning and AI initiatives, including NLP, Computer Vision, Time Series, and LLMs. Implement MLOps, CI/CD pipelines, data testing, and quality frameworks. Act as an AI super-user, applying prompt engineering and creating AI artifacts. More ❯

modeling, warehousing, and architecture principles (Kimball/Inmon). Develop pipeline programming using Python, Spark, and SQL; integrate APIs for seamless workflows. Support Machine Learning and AI initiatives, including NLP, Computer Vision, Time Series, and LLMs. Implement MLOps, CI/CD pipelines, data testing, and quality frameworks. Act as an AI super-user, applying prompt engineering and creating AI artifacts. 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 ❯

understanding of Git/GitHub workflows and DevOps tooling Nice to have: Experience with Docker or multi-container application architecture Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen Experience with biological or scientific datasets (genomics, proteomics, etc.) Exposure to frontend development (React preferred) Experience benchmarking and improving AI/ML models or agent-based More ❯

a remote-first team Willingness to travel occasionally for in-person collaboration or client work Nice to Have Experience with retrieval-augmented generation (RAG) or foundation models Exposure to NLP, recommendation systems, or time series forecasting Familiarity with streaming architectures and experimentation platforms Understanding of healthcare data standards (HIPAA, FHIR) Interest in ethical AI and explainability More ❯

a remote-first team Willingness to travel occasionally for in-person collaboration or client work Nice to Have Experience with retrieval-augmented generation (RAG) or foundation models Exposure to NLP, recommendation systems, or time series forecasting Familiarity with streaming architectures and experimentation platforms Understanding of healthcare data standards (HIPAA, FHIR) Interest in ethical AI and explainability More ❯

understanding of Git/GitHub workflows and DevOps tooling Nice to have: Experience with Docker or multi-container application architecture Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen Experience with biological or scientific datasets (genomics, proteomics, etc.) Exposure to frontend development (React preferred) Experience benchmarking and improving AI/ML models or agent-based More ❯

understanding of Git/GitHub workflows and DevOps tooling Nice to have: Experience with Docker or multi-container application architecture Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen Experience with biological or scientific datasets (genomics, proteomics, etc.) Exposure to frontend development (React preferred) Experience benchmarking and improving AI/ML models or agent-based More ❯

data, or automation-driven projects within financial services or another highly regulated environment. Strong understanding of technology-enabled change, particularly involving data platforms, analytics, or automation tools (e.g. ML, NLP, RPA, GenAI). Excellent stakeholder management and communication skills, with the ability to influence at senior and executive levels. Strong project planning, governance, and risk management skills across both Agile More ❯

essential libraries (NumPy, Pandas) and a deep learning framework (TensorFlow/PyTorch). You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time series, NLP, model validation) and the ability to innovate new algorithms. You apply a rigorous scientific and entrepreneurial mindset, translating complex business problems into a mathematical framework and measuring model impact upon More ❯

running workshops, and handling ambiguous requirements with patience and clarity Startup mindset: Self-starter who moves fast, wears multiple hats, and ships iteratively Bonus Points Experience with text analytics, NLP, or customer experience (CX) analytics Background in time-series analysis, anomaly detection, or forecasting Prior work at analytics agencies or consulting delivering bespoke reporting Exposure to AI infrastructure (vector databases More ❯

running workshops, and handling ambiguous requirements with patience and clarity Startup mindset: Self-starter who moves fast, wears multiple hats, and ships iteratively Bonus Points Experience with text analytics, NLP, or customer experience (CX) analytics Background in time-series analysis, anomaly detection, or forecasting Prior work at analytics agencies or consulting delivering bespoke reporting Exposure to AI infrastructure (vector databases More ❯

ops problems We love candidates with: Early-stage or founding engineer experience Experience building distributed systems and/or workflow orchestration (Temporal, Camunda) Strong Data and AI skillset (OCR, NLP, agentic workflows) Background in ERP, retail, or CPG Traits We Value: Curiosity — learns and experiments fast Systems thinking — connects data, architecture, and business logic Builder mindset — ships 0 to More ❯

deadlines. Desirable Skills & Experience Experience building or maintaining dashboards in Looker Studio or equivalent tools Familiarity with Google Cloud Platform and BigQuery for data extraction and analysis Knowledge of NLP techniques for clustering and sentiment analysis Experience leading or mentoring junior analysts. Technology Proficiencies Microsoft Excel/Google Sheets Looker Studio (or equivalent BI tools) Social and search intelligence tools More ❯