76 to 100 of 110 Natural Language Processing Jobs in the UK

Azure, Amazon Web Services, or Google Cloud Platform Familiarity with SQL and database systems Basic knowledge of APIs and software development practices Exposure to NLP, computer vision, or deep learning concepts Relevant certifications in AI or cloud technologies Skills Machine Learning Fundamentals Python & AI Libraries Data Processing & Analysis Problem ...

engineering experience Python and ML frameworks Experience deploying models to production Financial services or data-heavy background Cloud ML tooling exposure Nice to Have NLP or time-series modelling MLOps experience Risk or fraud use cases Why Join Applied ML in production High-impact financial use cases Growing AI capability ...

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 ...

Skills & Experience Proven experience delivering AI, automation, or digital transformation programmes Strong understanding of AI/ML and intelligent automation technologies (e.g. RPA, NLP) Excellent stakeholder management and communication skills Experience working in Agile delivery environments Ability to bridge the gap between technical teams and business leaders Clearance Active ...

Responsibilities: Design and implement generative models using state-of-the-art architectures (e.g., GPT, DALL E, Stable Diffusion). Fine-tune and optimize large language models (LLMs) for specific tasks and domains. Build pipelines for data preprocessing, model training, evaluation, and deployment. Collaborate with product, design, and engineering teams … Abilities: Strong programming skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers). Solid understanding of deep learning, NLP, and generative modeling techniques . Experience with training and fine-tuning large-scale models . Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools. ...

plus 15% clearance bonus Must be willing to be full-time on-site in Manchester Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client … organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams ...

plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client … organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams ...

plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client … organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams ...

Software Engineer At least 2 years of commercial experience in an Artificial Intelligence Software Development role with exposure to areas like computer vision, audio processing, and generative AI systems Ideally you will be educated to PhD level or you have experience working in a start-up environment Excellent academic …/Golang/Kotlin/Docker/Programmer/Software Engineer/Software Developer/Programming/Coding/programmer/LLM/NLP/Audio/Signal Processing/Deep Learning ...

transforms product development, internal operations, and team structure You've implemented AI/ML in production, whether for content moderation, recommendations, NLP, or operational automation You're excited by agentic AI and understand how autonomous systems can handle workflows end-to-end, not just assist You’ve built ...

Machine Learning Engineer (NLP) Location: remote only within the UK Salary: up to £100,000 Job Purpose As a Machine Learning Engineer (NLP), you will work with our small but growing team and play an active role in building our Machine Learning/NLP capability. You will be responsible … developing and refining the NLP algorithms and infrastructure of our AI-powered design platform. You will apply SOTA NLP techniques to solve complex problems while collaborating with cross-functional teams. As Machine Learning Engineer (NLP), you will be responsible for: Building and deploying NLP models using the latest techniques ...

within AWS. The Role As a Senior Data Scientist, you’ll play a key role in advancing their AI product suite, working across both NLP-driven systems and next-generation LLM applications. You’ll sit within a growing Data Science team (currently 5, including 2 senior members), helping to shape … include: Building and optimising machine learning and LLM-based models Fine-tuning and deploying models within production environments Working on conversational AI systems, including NLP and data interaction layers Collaborating closely with engineering and DevOps teams in an AWS environment Applying statistical and mathematical thinking to solve complex, real-world ...

Agent SDK · LLMOps 2. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 3. Staff SE – MLOps/DevOps for AI Shaping the infrastructure behind model serving, training pipelines, LLMOps, and AgentOps across … Drop me a DM Seniority Level Not Applicable Industry Software Development Employment Type Full-time Job Functions Engineering Skills Artificial Intelligence (AI) Large Language Models (LLM) Machine Learning Technical Leadership Multi-agent Systems AWS SageMaker Amazon Web Services (AWS) Python (Programming Language) LangGraph Amazon ...

Skills & Experience RAG Engineering (must-have) ● 6+ years of software engineering experience, with at least 2-3 years focused on information retrieval, search systems, NLP, or RAG architectures. ● Deep expertise in vector databases — production experience with at least one of: Pinecone, Weaviate, Milvus, Qdrant, Chroma, pgvector, or Databricks Vector Search. … Master's degree in Computer Science, Information Retrieval, Computational Linguistics, Data Science , or a related quantitative discipline. PhD in a relevant field (IR, NLP, knowledge graphs) is a strong differentiator. ● Relevant certifications are valued (Databricks Certified, AWS/Azure ML Specialty) but are secondary to demonstrated hands-on expertise. Agents ...

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 ...

excellent opportunity for ambitious graduates who want to work with cutting-edge technologies including Artificial Intelligence, Machine Learning, Generative AI and Large Language Models (LLMs) while developing their technical skills within a supportive engineering environment. Successful candidates will gain hands-on experience working alongside experienced engineers and data scientists … graduate opportunities in AI, machine learning, data science or software engineering. Key Skills: Artificial Intelligence, Machine Learning, Data Science, Python, AI Engineer, Data Analyst, NLP, Deep Learning, Generative AI, Graduate Developer, LLM, Software Engineering. ...

well-defined modelling tasks. Build end to end ML pipelinesfrom feature engineering and preprocessing to deployment ready model outputs. Apply advanced techniques such as NLP, time series forecasting, anomaly detection, optimisation, or LLM/GenAI methods where relevant. Implement model evaluation frameworks using offline metrics, cross validation, online experiments … connectivity and Data Integrations Experience working with large, complex datasets, including data cleaning, feature engineering, and exploratory data analysis. Familiarity with LLMs, NLP techniques, and GenAI frameworks, including embeddings, prompt engineering, or fine tuning. Experience building end to end ML pipelines, including model validation, optimisation, deployment, and monitoring. Understanding ...

Senior Data Scientist A great opportunity to join a team building advanced conversational AI and NLP products for financial services. This role is ideal if you enjoy modern LLMs, problem solving, and bringing machine learning models into production. The Company They are a growing data and AI organisation developing conversational … tools, data assistants, and NLP solutions for analytics and trading teams. Their work spans LLM fine tuning, automation, and website chatbots, supported by strong engineering and DevOps functions. They operate an AWS environment and encourage collaboration across teams. The Role Build and fine tune LLMs and NLP models for analytics ...

engineering roadmap aligned to Banking tech strategy and enterprise architecture. AI Engineering & Architecture – Lead the design and development of scalable AI systems using LLMs, NLP, knowledge graphs, and machine learning pipelines. Architect secure, compliant AI solutions that integrate with market data, CRM, internal knowledge bases, and document repositories. Data Strategy … financial services or enterprise environments. Demonstrated success building AI applications in investment banking, asset management, or capital markets domains. Deep expertise in ML, NLP, LLMs, retrieval‐augmented generation (RAG), embeddings, and modern MLOps practices. Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts ...

engineering roadmap aligned to Banking tech strategy and enterprise architecture.* **AI Engineering & Architecture -** Lead the design and development of scalable AI systems using LLMs, NLP, knowledge graphs, and machine learning pipelines. Architect secure, compliant AI solutions that integrate with market data, CRM, internal knowledge bases, and document repositories.* **Data Strategy … financial services or enterprise environments.* Demonstrated success building AI applications in investment banking, asset management, or capital markets domains.* Deep expertise in ML, NLP, LLMs, retrieval-augmented generation (RAG), embeddings, and modern MLOps practices.* Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts ...

Python/Django) About the role: We are working with an early-stage, AI-driven technology company building advanced platforms that leverage machine learning, NLP and large language models to solve complex research and data problems. The team is focused on developing scalable, intelligent systems , increasingly incorporating LLM-powered … design and backend architecture Proficiency with Git Willingness to work 2 days per week onsite in London Nice to have Exposure to NLP or search systems (e.g. semantic search) Experience working with LLMs or generative AI Frontend experience (e.g. React ) Experience with Elasticsearch or OpenSearch Experience with AWS or similar ...

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 ...

APIs. Run technical experiments to test new AI-powered workflows, notably using Agentic AI. Engineer prompts and automation pipelines for AI-assisted localization. Leverage NLP/NLU techniques to improve localization automation, translation quality evaluation, and multilingual content understanding across Expedia Group experiences. 3. Machine Translation and linguistic systems Develop … programming skills (Python, Java, JavaScript/TypeScript) REST APIs, testing tools Regex and string handling Solid knowledge of Unicode, ICU & CLDR Working knowledge of NLP and NLU concepts: tokenization, embeddings, classification, sequence labeling, semantic similarity, intent/entity extraction Experience building production services, scripts, or internal platforms. Experience working with ...

experience Strong Python development experience in production environments Proven experience developing Machine Learning models (e.g. classification, regression, image/signal processing, or NLP) Solid understanding of ML model lifecycle: data preparation, training, validation, deployment, and monitoring Hands-on experience with APIs, Docker, and AWS Working knowledge ...

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 ...