26 to 50 of 53 Natural Language Processing Jobs in London

React, C# .NET, Python, SQL, APIs, Azure, Power Platform, SaaS, PaaS, IaC. Exposure to and understanding of emerging technologies e.g. AI, LLMs, Machine Learning, NLP, MCP etc. Experience in architecture and software development methodologies, and design techniques e.g. Agile, C4, UML, TOGAF, Microsoft Well-Architected Framework, design patterns. Experience using ...

science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning). Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built ...

hands-on technical delivery and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field or equivalent experience; Relevant certifications in Power ...

e.g., Jira) Hands-on experience with a range of databases and storage technologies: Elastic, Mongo, Cassandra, Redis, S3 Desirable Skills PyTorch, AI/ML, NLP, LLMs Experience with the Atlassian Suite, GitHub, Linux CLI Broader data handling and advanced model-driven development exposure To learn more, please do reach ...

e.g., Jira) Hands-on experience with a range of databases and storage technologies: Elastic, Mongo, Cassandra, Redis, S3 Desirable Skills PyTorch, AI/ML, NLP, LLMs Experience with the Atlassian Suite, GitHub, Linux CLI Broader data handling and advanced model-driven development exposure To learn more, please do reach ...

quantitative field. Fluent Python programmer with experience in deep learning frameworks (e.g., PyTorch). Expert in core data science techniques (supervised/unsupervised, NLP) and developing innovative algorithms. Leadership mindset, mentoring teams and fostering collaboration. Commercially aware, able to translate complex business problems into practical, high-quality solutions. ...

using Infrastructure as Code, with a strong focus on automation, compliance and best practice. Develop and integrate AI applications and services, including classical ML, NLP, RAG and generative AI solutions. Support experimentation and proof-of-concept work through secure AI sandboxes and evaluation of emerging tools and platforms. Monitor, optimise ...

modern automation tooling. Exposure to testing data-driven applications and distributed systems. Desirable: Experience testing GenAI or LLM-based services. Background in supporting ML, NLP, or data-heavy engineering environments. Familiarity with validating prompt flows, LLM responses, or AI pipelines. Tech Environment: Python, JavaScript, Node.js Performance automation tools API testing ...

users. Research team published at top AI venues with work adopted by leading universities and Fortune 500 R&D teams. Advisors include a leading NLP researcher and a Google DeepMind team lead. Flexibility. Fully remote, UK timezone. Regular offsites. We care about what you ship, not when you’re online. ...

users. Research team published at top AI venues with work adopted by leading universities and Fortune 500 R&D teams. Advisors include a leading NLP researcher and a Google DeepMind team lead. Flexibility. Fully remote, UK timezone. Regular offsites. We care about what you ship, not when you’re online. ...

relevant internships in machine learning, data engineering, or software engineering. You’ll contribute to designing, implementing, and deploying production-grade ML systems—ranging from NLP pipelines to model‐driven workflow automation. You’ll learn quickly, gain real ownership, and see your work make tangible business impact. What … willingness to learn quickly. Foundational skills Degree in a STEM field. PhD candidates: applied research involving ML, optimisation, simulation, statistics, numerical methods, NLP, or related areas. Bachelor’s/Master’s: 1–2 years of industry experience or relevant internships in ML, software engineering, or data engineering. Programming experience (especially ...

logic. Contribute to an agent‐first development approach, orchestrating AI tools to solve integration challenges rapidly. Skills & experience: Strong background in DS/ML (NLP, optimisation, or schema‐matching experience is a plus). Solid understanding of APIs, data models, and transformation workflows. Experience with agentic AI tools (e.g., Claude ...

competitor landscapes to inform product vision. What Were Looking For: Proven experience managing AI or ML-driven products. Strong understanding of generative AI, NLP, computer vision, or related technologies. Ability to convert complex technical concepts into business outcomes. Track record of launching AI products from concept to production. Excellent communication ...

Specialist/Process Analyst/Documentation Specialist/Prompt Engineer/AI Prompting/AI Workflows/Software Engineering/SaaS/Automation/NLP/Data Analysis/Computer Science/Business Management/Information Systems/LegalTech/Operations Management/Graduate/Junior/Trainee ...

closely related field). Strong interest in AI applied to biotech, healthcare, or medical data Solid programming experience (e.g. Python ) Exposure to LLMs , NLP, or generative AI Familiarity with machine learning concepts and data processing Experience working with large datasets (academic, research, or commercial) Comfortable working in a remote ...

building scalable data workflows or data-driven products , including architecting pipelines, modular components, and reusable frameworks. Experience applying large language models or advanced NLP techniques (e.g. embeddings, semantic parsing, topic modelling, text classification); familiarity with processing non-english languages is a plus. Comfortable working with large, messy ...

innovation . This is a long-term contract opportunity where you’ll work on real-world, production-grade AI solutions , including LLM-powered applications, NLP pipelines, and emerging agentic systems . You’ll be operating in a highly data-driven environment, solving complex business problems and delivering impactful … cases at scale. Key Responsibilities Build, deploy, and optimise machine learning and NLP models in production Develop end-to-end data science pipelines Design and prototype Generative AI solutions (LLMs, embeddings, prompt engineering) Work with BigQuery ML and cloud platforms for large-scale modelling Translate business challenges into scalable data ...

Senior AI Engineer (NLP/LLMs) – remote (UK based) £70-100k depending on experience A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex … data workflows, solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business ...

office 5 days per month. As ML Engineer, your mission is to: Participate in the continuous improvement of our client's products Develop advanced NLP and AI-based products that will delight users Provide excellence in cloud-based ML engineering, with as much focus on Operations as Development. Expand … demonstration and documentation Key Responsibilities As a machine learning engineer, your main responsibility is to conduct the development and productionisation of ML and NLP-based features for the client's products - a SaaS Platform and an API. Develop optimal ML & NLP solutions for use cases, from baseline to SOTA approaches ...

Staff Machine Learning Engineer – NLP/Search/LLMs London (Hybrid – 2 days onsite) £90,000 – £110,000 + Equity I'm working with an AI-first technology platform transforming how complex intellectual property research is done using LLMs, NLP and advanced search systems . They were early adopters … building agentic AI workflows that can autonomously answer complex research questions. They're looking for a Staff ML Engineer to help scale their NLP and search capabilities . What you'll be doing • Improving search quality (precision & recall) across large datasets • Designing LLM-powered workflows and agentic systems • Building ...

learning task of predicting student knowledge and optimal ‘next task’ Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data Create brand new dictionaries, applicable to any context - right now it’s the English language … pipelines and automation tools for efficient model deployment and monitoring Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Great knowledge of NLP algorithms Expertise in Python and PyTorch Desirable Skills 👌 Can speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience ...

automation across entity matching, data validation, and workflow orchestration using AI/ML. Implement agentic AI and LLM-based services to streamline onboarding, document processing, and exception handling. Ensure compliance with data privacy, data sovereignty, and regulatory architecture patterns (e.g., regional sharding, zero-data copy patterns). Bring … CloudWatch, API Gateway, ECS, ECR, SQS, SNS). Familiarity with Open AI APIs, Agentic AI – Crew/LangChain/RAG/AutoGen/NLP/Java/Python/REST/Telemetry/Security/Auditability. Domain knowledge in client onboarding, KYC, and regulatory workflows, with a deep understanding ...

model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior NLP Engineer , with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will … build prediction models based on these results Optimise and fine-tune machine learning models for performance, scalability, and accuracy Essential skills 🙏 Strong expertise in NLP Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production Strong understanding of neural networks, CNNs, RNNs ...

relevant experience Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus Capacity to multi-task in a fast paced environment while keeping strong attention to detail Coding skills required … least one leading programing language (Python, R, Matlab and/or C++, C#) Experience in exploring large datasets across multiple time frames is a plus Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields Capacity to work with ...

post-go-live support. There is also an opportunity to contribute to the integration of broader intelligent automation technologies, including Machine Learning, OCR and NLP, within an established governance framework. Key responsibilities Design, develop and deliver end-to-end automation solutions Review Process Definition Documents (PDDs) and produce Solution Design … Documents (SDDs) Develop Power Automate cloud workflows, RPA workflows and hybrid automation solutions Integrate intelligent automation capabilities such as ML, OCR and NLP where appropriate Support SIT and UAT, including preparation of test plans and test data Work closely with technical and change teams to ensure access, requirements and dependencies ...