101 to 125 of 131 Natural Language Processing Jobs in the UK

delivery and maintenance of complex software products in a DevOps and Agile environment.Deep practical experience with RAG, LLMs, and MLOps.Expert-level understanding of NLP, Embeddings, and Prompt Engineering.Expert proficiency in Python, React, and TypeScript.Significant experience with Cloud platforms (GCP or Azure) and Infrastructure as Code (Terraform).Experience designing and implementing … data processing and document ingestion pipelines (e.g., Vertex AI, Google Cloud Fusion, or Azure Data Factory).Deep understanding of the SDLC, API-Centric Design, and Twelve-Factor App principles.Proven experience mentoring engineers and leading technical teams to success.Deep familiarity with authentication and authorisation protocols/patterns and secure ...

platforms. The role involves code development, deployment, and ongoing optimization to impact consumer experiences. The ideal candidate has solid experience in search technologies, NLP, and English proficiency, with a customer-focused approach and strong technical acumen. #J-18808-Ljbffr ...

codebases. Hands‐on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed/FSDP/SLURM/K8s). Experience in deep learning, NLP or LLMs; bonus for CUDA or data‐pipeline chops. Strong software‐design instincts: testing, code review, CI/CD. Self‐starter, low‐ego, collaborative. Benefits … membership 🥕 Meal voucher: £200 monthly allowance for meals 💰 Pension plan: SmartPension (percentages are 5% Employee & 3% Employer) Tagged Clustering, Industry, Machine Learning, NLP, Parsing, United Kingdom Senior (5+ years of experience) #J-18808-Ljbffr ...

along with a commitment to continuous learning, research, and experimentation with new innovations in the field. Candidates should possess a solid understanding of modern NLP and/or financial knowledge, hands‐on implementation experience, strong analytical thinking, and a keen interest in applying advanced analytics to solve complex problems … search, retrieval‐augmented generation (RAG), named entity recognition (NER), prompt engineering, and personalization for content extraction, search, question answering, reasoning, and recommendation. Develop LLM, NLP, and ML solutions that address client requirements and drive business transformation. Work closely with partner teams—including Business, Technology, Product Management, Strategy, and Business Management ...

data science and analytical techniques to identify trends and generate insights from biomedical/pharmaceutical data Building and maintaining content analytics pipelines Using AI, NLP, and text-mining approaches to analyse biomedical literature and scientific datasets Supporting the extraction, organisation, and interpretation of scientific information Collaborating with cross-functional stakeholders … technical stakeholders Strong communication and organisational skills as regular interaction with a range of stakeholders is a core part of the job Experience with NLP, machine learning, scientific datasets, or biomedical literature is a significant advantage - preferably gained from working in a pharmaceutical, biotech diagnostics, CRO or consultancy company supporting ...

state of the art in multilingual speech generation, text‐to‐speech synthesis, and speech‐to‐speech models, directly impacting customers across 20+ languages with natural, expressive, and locale‐appropriate voice experiences for Alexa+. You will leverage Amazon's heterogeneous data sources and large‐scale computing resources to accelerate advances … Master’s degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or PhD. Knowledge of ML, NLP, Information Retrieval and Analytics. Experience building complex highly‐scalable systems that involve predictive models or applications of machine learning. Preferred Qualifications Experience building machine learning ...

engagement skills, with the ability to translate between engineering, clinical, and scientific audiences Excellent project management skills Desirable Criteria: Experience overseeing clinical validation of NLP-derived features extracted from unstructured medical records Track record of high-impact research output and/or commercial partnership delivery in RWE Experience building … real-world progression, response, treatment lines), and data quality rules, in collaboration with engineers and the Guys RWE thoracic team. Oversee clinical validation of NLP-derived features extracted from unstructured sources (clinic letters, radiology, pathology, MDT documentation), and feed back into model and pipeline improvement. Produce supporting documentation around data ...

operating models and organisational structures for data and AI functions Familiarity and understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Familiarity with AI governance frameworks, model risk management, and regulatory requirements Soft Skills Communication, storytelling and presentation skills Experience of facilitation … mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with ability to translate complex technical concepts into business language and explain how they drive business value Preferred Criteria Familiarity of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA ...

close collaboration with Marketing and Product teams to identify and execute opportunities using our CDP and activation platforms (Salesforce, Airship, Blueconic and Amplitude). NLP & Generative AI Innovation: Leverage NLP and transformer architectures to enhance content tagging and use Generative AI to supercharge internal AIML workflows, including model testing … Engineering Excellence: Strong experience in MLOps, model architecture, and delivering models at scale using AWS/Sagemaker. Modern AI Stack: Hands‐on experience with NLP, neural networks, transformer architectures, causal inference and the application of Generative AI in the AIML lifecycle. Commercial Agency: An "owner's mindset" with the bravery ...

months with long term potential Leading business is looking to recruit a Data Scientist with strong experience in exploratory analytics, machine learning and NLP to support a major programme focused on extracting insight from complex, largely unstructured funding application data. This role is focused on early-stage problem solving, investigation … teams. Exploratory Data Science & Modelling Explore structured and unstructured datasets to identify patterns and opportunities Build proof-of-concept ML and statistical models Apply NLP and semantic techniques to classify, compare and relate text data Test and evaluate different modelling approaches NLP & Text Analytics Work with text data including titles ...

JPMorgan Chase & Co. in London/Glasgow is seeking a data scientist specialized in NLP and LLMs to design AI workflows that automate complex business processes and deploy models into production. You will collaborate with business stakeholders and technologists to apply advanced analytics, semantic search, RAG, NER, and prompt engineering ...

Ideal Background They are keen to speak with Data Scientists who have experience across: Large Language Models (LLMs) Agentic AI systems Chatbot platforms NLP and generative AI AI product development Python and modern ML tooling Experience deploying AI products into production environments would be highly beneficial. If interested, please ...

creation. Drive experimentation and evaluation of algorithms, ensuring scalable deployment and continuous performance improvements. Stay current with academic and industry advances in machine learning, NLP, and deep learning, and guide the team in applying them to real‐world challenges. Location: Work onsite in London. Minimum Qualifications Master’s degree … higher in Computer Science, Mathematics, or a related field, with specialization in machine learning, NLP, or information retrieval. 6+ years of experience in search, recommendation, or advertising systems, including at least 2 years in a leadership or team management role. Proficiency in machine learning, NLP, and deep learning algorithms, with ...

Fairygodboss is looking for an Applied AI ML Director specialized in NLP, LLM, and Graph analytics to join their team in the UK. This role will focus on advanced machine learning solutions for various applications including speech analytics and recommendation systems. Ideal candidates should possess a PhD in a quantitative ...

such as PyTorch, ensuring scalability and reliability in high‐traffic environments Build and deploy production AI Agents using raw and fine‐tuned foundational Large Language Models (LLMs), along with sub‐agents, tools, and MCP integrations Architect end‐to‐end ML pipelines, integrating data processing (e.g., Spark, Airflow) with … framework (e.g., PyTorch, TensorFlow), with experience in areas such as recommendation systems, ranking models, or NLP. Expertise in prompting and fine‐tuning Large Language Models (LLMs) and building production AI Agents. Proven experience designing scalable data and ML pipelines using tools such as Spark, Airflow, or similar distributed systems. ...

responsibilities include: Leading a team of Data Scientists and AI specialists Defining Data & AI strategy and technical direction Designing and delivering Machine Learning, NLP, GenAI and RAG-based solutions Working directly with senior business stakeholders and clients Translating complex technical concepts into clear business language Driving delivery ...

Engineer | Digital Agency | £60-70,000 NLP | LLM | RAG | AI | ML My client is currently looking for an AI Engineer , to play a key role in designing, building and embedding AI-enabled capabilities across digital products and shared platforms. You will focus on the practical application of large language … ideas from discovery through to working software, using practical engineering judgement to balance value, complexity, cost, risk and maintainability. Build solutions using large language models, machine learning and supporting technologies to improve throughput, automate knowledge-intensive processes and enhance product intelligence. Ensure the solutions you build are secure, reliable ...

impactful projects. Description Data Scientist - London Build and deploy machine learning models used in real-world applications Work with both structured data and text (NLP) to generate insights Design and maintain data pipelines and production-ready systems Apply statistical methods to evaluate models and ensure reliability Collaborate with domain experts … write clean, production-quality code Solid grounding in statistics (not just surface-level understanding) Experience with machine learning, including classical models and some modern NLP approaches Experience building models that are actually used in production Comfortable working with real-world, messy datasets. Familiarity with data pipelines, deployment, and maintaining ...

impactful projects. Description Data Scientist - London Build and deploy machine learning models used in real-world applications Work with both structured data and text (NLP) to generate insights Design and maintain data pipelines and production-ready systems Apply statistical methods to evaluate models and ensure reliability Collaborate with domain experts … write clean, production-quality code Solid grounding in statistics (not just surface-level understanding) Experience with machine learning, including classical models and some modern NLP approaches Experience building models that are actually used in production Comfortable working with real-world, messy datasets. Familiarity with data pipelines, deployment, and maintaining ...

DevSecOps — and operationalize them across squads. Represent Engineering in cross‐functional planning, executive reviews, and customer conversations. Translate technical risk and opportunity into business language for the executive team and the board. Partner with Security, Legal, and Trust & Governance to maintain enterprise‐grade compliance posture for a customer base … model cost, latency, and quality trade‐offs. Experience with large‐scale data ingestion, ETL/ELT, and analytics platforms (e.g., web crawling at scale, NLP pipelines, taxonomy and skills extraction). Prior experience in HR Tech, workforce planning, talent intelligence, or labor market analytics. Experience operating in a private‐equity ...

code workflows, and intelligent document processing solutions. Lead the investigation and evaluation of AI technologies that can enhance regulatory processes, including NLP, machine learning, generative AI, and predictive analytics. Develop AI‐enabled use cases such as automated document classification, impact assessments, regulatory intelligence scanning, and predictive submission planning. Ensure … regulatory platforms, processes, and best practices. Experience designing digital roadmaps to modernise regulatory operations. Experience with automation technologies (RPA, workflow tools, intelligent document processing). Understanding of AI capabilities in regulated environments and ability to translate needs into AI‐enabled use cases. Expertise in master data management, metadata structures ...

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 ...

standards and tooling - RDF/RDFS, SPARQL, OWL, SHACL-together with graph databases, ontology-design tools, and visualization platforms such as Linkurious. Apply modern NLP/NLU techniques, from topic modelling to cutting edge entity and relation extraction, plus concise text summarisation. Experience Requirements Core semantic/graph tech …/streaming or CDC pipelines feeding a knowledge graph. Entity resolution techniques, data cleansing, enrichment, and integration from many sources. Python + ML/NLP stack High quality production code in Python . Libraries such as NetworkX , TensorFlow or PyTorch , NLTK, spaCy, Hugging Face, BERT , Pandas, NumPy, scikit learn . ...

NLP PEOPLE is seeking a Machine Learning Engineer in London (Hybrid) with a focus on NLP and LLMs. You will enhance retrieval systems and shape technical direction. The ideal candidate will have 5+ years of experience, strong Python skills, and the ability to design ML pipelines. The position offers ...

JPMorgan Chase's Chief Data & Analytics Office (CDAO) invites applications for an Applied AI ML Director – NLP/LLM and Graphs. This role will apply sophisticated machine learning methods to NLP, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with diverse teams to deploy ...