51 to 74 of 74 Natural Language Processing Jobs in the UK excluding London

including 1-2 years in AI/ML) to design, build, and optimize intelligent solutions. This role offers the opportunity to work on cutting-edge projects, applying machine learning, NLP, and generative AI to real-world business problems. Key Responsibilities Build and refine AI/ML models, including LLM-based solutions (RAG, fine-tuning, prompt engineering). Design and implement … AI-powered applications, integrating with APIs, SQL/NoSQL databases, and Python-based solutions. Prototype and test AI applications, optimizing performance and scalability. Apply backend/data processing skills to handle structured and unstructured datasets. Stay current with open-source AI/ML … frameworks (e.g., Hugging Face, LangChain) and apply them to business needs. Communicate technical concepts clearly to technical and non-technical stakeholders. Essential Skills & Experience Hands-on experience in ML, NLP, and GenAI (LLM/SLM). Proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow). Experience with SQL/NoSQL databases, APIs, and data integration. Exposure to on More ❯

including 1-2 years in AI/ML) to design, build, and optimize intelligent solutions. This role offers the opportunity to work on cutting-edge projects, applying machine learning, NLP, and generative AI to real-world business problems. Key Responsibilities Build and refine AI/ML models, including LLM-based solutions (RAG, fine-tuning, prompt engineering). Design and implement … AI-powered applications, integrating with APIs, SQL/NoSQL databases, and Python-based solutions. Prototype and test AI applications, optimizing performance and scalability. Apply backend/data processing skills to handle structured and unstructured datasets. Stay current with open-source AI/ML … frameworks (e.g., Hugging Face, LangChain) and apply them to business needs. Communicate technical concepts clearly to technical and non-technical stakeholders. Essential Skills & Experience Hands-on experience in ML, NLP, and GenAI (LLM/SLM). Proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow). Experience with SQL/NoSQL databases, APIs, and data integration. Exposure to on More ❯

for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real … working in a multicultural work environment. It's Great if You Have PhD or MSc in Computer Science/Operations Research/Statistics or other quantitative fields. Experience in NLP, image processing and/or recommendation systems. Hands on experience in data engineering, working with big data framework like Spark/Hadoop. Experience in data science for e-commerce More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … equivalent work experience as a professional ML engineer or data scientist. Strong skills in Python, with experience in backend development and unit testing. Knowledge of generative AI, specifically Large Language Models. Knowledge of agile practices and able to perform in agile software development environments. Strong knowledge of modern software development tools/ways of working (e.g. git/GitHub … e.g. defining guardrails, red teaming or persona-based evaluations. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen), Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Research experience More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … equivalent work experience as a professional ML engineer or data scientist. Strong skills in Python, with experience in backend development and unit testing. Knowledge of generative AI, specifically Large Language Models. Knowledge of agile practices and able to perform in agile software development environments. Strong knowledge of modern software development tools/ways of working (e.g. git/GitHub … e.g. defining guardrails, red teaming or persona-based evaluations. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen), Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Research experience More ❯

Design functional processes, flows, and support procedures - Lead prototyping, testing, and training phases - Conduct AI assessments and propose optimised solutions - Develop classification algorithms and prepare datasets - Work with image processing, text extraction, clustering, embedding models - Implement drift … detection, model monitoring (AgentEvals experience a plus) - Document architecture and insights across projects Essential Skills & Experience: - Proven experience developing Chat Bots using: - Python, PyCharm, NumPy, Pandas - ML, deep learning, NLP, TensorFlow - SQL/NoSQL (MySQL, PostgreSQL), RDBMS design - GitHub, Jenkins, data modelling/wrangling - Experience in supervised/unsupervised learning, classification algorithms - Hands-on with model training, drift detection, and More ❯

seeking an experienced ML Ops/LLM Ops Engineer to join a high-profile digital transformation initiative. This role focuses on operationalising advanced Machine Learning services including Transformers, Large Language Models (LLMs), Automatic Speech Recognition (ASR), and Text-to-Speech (TTS) solutions. You will work closely with developers, technical leads, product owners, and QA teams to design, deploy, and … Generative AI trends and best practices. Desired Skills Experience with chatbots and conversational AI (voice or text). Familiarity with Terraform, Helm, Kubernetes, or Postgres. Exposure to Data Science, NLP, Explainable AI (XAI). Real-world delivery of Generative AI solutions, especially LLM-driven applications. *Rates depend on experience and client requirements More ❯

and Java). Develop new innovative solutions for enhancing scientific data workflows and support our mission to disseminate scientific information publicly Manage and enhance scientific software tools essential for processing and storing chemical and biological data across the teams services, ensuring adherence to software development best practices. Collaborate with the ChEMBL, SureChEMBL and ChEBI teams to identify and resolve … in Chemistry, Computer Science, Bioinformatics, Data Science, or a related field. Experience in cheminformatics or data engineering applied to life sciences Track record of delivered projects involving scientific data processing Proficiency in Python, with experience in cheminformatics libraries and topics (such as RDKit, Open Babel, InChI, SMILES/SMARTS) Experience working with relational (SQL) databases Familiarity working in a … containerization technologies (Docker) Basic understanding of Java, with a willingness to develop expertise and contribute to Java-based pipelines as needed Experience in using AI-based methods, such as NLP, LLM for efficient data processing Other helpful information: Hybrid Working - At EMBL-EBI we are pleased to offer hybrid working options for all our employees. A dedicated desk will More ❯

using FastAPI framework and how different it is from Flask? Data engineering What are best practices in pre-processing textual content during ingestion phase? Any experience of using NLP algorithms for pre-processing raw text content? Docker/Kubernetes What are few proven docker images inspection methods? Any experience of popular known deployment methods on k8s cluster? Gitops More ❯

Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Bioinformatics expertise, familiarity with large scale bioinformatics datasets. Experience using Nextflow pipelines. Knowledge of NLP techniques and experience of processing unstructured data, using vector stores, and approximate retrieval. Familiarity with orchestration tooling (e.g. Airflow or Google Workflows). Experience with AI/ML powered More ❯

Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Bioinformatics expertise, familiarity with large scale bioinformatics datasets. Experience using Nextflow pipelines. Knowledge of NLP techniques and experience of processing unstructured data, using vector stores, and approximate retrieval. Familiarity with orchestration tooling (e.g. Airflow or Google Workflows). Experience with AI/ML powered More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … large team. Our leaders will be committed to your career and development from day one. Key Responsibilities Define and implement key safety metrics for generative AI (and in particular language) applications. Perform user research to understand the application’s risks and failure modes. Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high … of working (e.g. git/GitHub). Preferred Qualifications Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Prior experience conducting user research for AI applications. Knowledge of AI/ML evaluation and benchmarking approaches, including safety and robustness More ❯

documented and well-tested software in the AI/ML industry. We are looking for candidates with experience in the field of Responsible AI, preferably for generative AI or language applications. In addition to ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and … large team. Our leaders will be committed to your career and development from day one. Key Responsibilities Define and implement key safety metrics for generative AI (and in particular language) applications. Perform user research to understand the application’s risks and failure modes. Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high … of working (e.g. git/GitHub). Preferred Qualifications Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Prior experience conducting user research for AI applications. Knowledge of AI/ML evaluation and benchmarking approaches, including safety and robustness More ❯

Git/GitHub and continuous deployment workflows. Preferred Skills Experience with Docker and multi-container application architecture. Backend development using FastAPI . Knowledge of AI/ML techniques , especially NLP and language models. Experience with Kubernetes and Google Kubernetes Engine (GKE) . Exposure to frontend development (e.g., React ) is a plus. Please apply with your updated CV if this More ❯

software development tools (e.g. Git/GitHub, DevOps) Desirable Experience: Experience with biological or scientific datasets (e.g. genomics, proteomics) Bioinformatics expertise and familiarity with large-scale datasets Knowledge of NLP techniques and unstructured data processing Experience with orchestration tools (e.g. Airflow, Google Workflows) Exposure to AI/ML-powered applications Familiarity with containerization (e.g. Docker) and Nextflow pipelines If More ❯

data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Some More ❯

data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Some More ❯

Machine Learning Lead - Agentic AI, NLP & Generative AI Central London (Hybrid - 3 days/week in office) Up to £120,000 Shares + Benefits A fast-growing Data & AI Product-based company at the forefront of cutting-edge AI solutions are looking for an ML Lead to join the team and spearhead a number of ambitious products, shaping the architecture … direction, and delivery of advanced AI and Machine Learning initiatives. What youll do Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art research into production. Evaluate … in model deployment, evaluation, and optimisation. What were looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs More ❯

team at the forefront of applied AI. You'll work on meaningful, real-world challenges with clients across the UK - using state-of-the-art LLMs, computer vision, and NLP to build innovative solutions that deliver real impact. This is a broad, high-impact role, perfect for someone who thrives in fast-paced environments, combines technical depth with strong product … to travel to) either Cardiff or London 2-3 days a week. Bonus points if you also have: A PhD (or equivalent research experience) in machine learning, computer vision, NLP, or a related field Experience with multi-modal models that combine vision and language Strong grasp of data-centric AI practices - annotation tooling, prompt evaluation, and dataset curation Familiarity … same. Fine-tune and privately deploy LLMs - with a focus on Retrieval-Augmented Generation (RAG) pipelines Build and scale computer vision systems - from object detection to image segmentation Apply NLP to real-world business problems - summarisation, entity recognition, information extraction, and more Train and deploy models at scale using AWS - including Lambda, EC2, S3, and SageMaker Meet with enterprise clients More ❯

Extras Experience with machine learning, large language models, or other advanced AI technologies.Previous work in customer service or support environments. Formal AI-related qualifications or certifications (e.g., ML, NLP, prompt engineering). Coding proficiency in Python, R, or Java. Salary £55,000-£65,000 per annum RSG Plc is acting as an Employment Agency in relation to this vacancy. More ❯

maintain robust, secure, and high-integrity datasets for internal defence applications. Design and optimise data pipelines to ensure reliable, compliant, and scalable solutions. Apply your expertise in Generative AI, NLP, and OCR to enhance and automate data processes. Build ETL workflows, APIs, and other data integration solutions tailored for mission-critical environments . Provide guidance on emerging technologies and support … next-generation defence data solutions . Skills and experience: Strong knowledge of SQL (MS SQL, Oracle) and noSQL databases (e.g., MongoDB, Neo4J, InfluxDB). Hands-on experience with data processing … and integration tools , including ETL, ESB, and APIs. Proficiency in Python or similar programming languages. Exposure to big data technologies (Hadoop or similar frameworks). Familiarity with Generative AI, NLP, or OCR applications is highly desirable. Previous experience in the industrial or defence sector is advantageous. Salary & Working Model: £45,000 - £55,000 depending on experience Onsite in the UK More ❯

transaction processing, data security). Strong communication skills to present complex ideas to stakeholders. Experience working with data scientists to productionise models. Familiarity with AI frameworks such as NLP, knowledge graphs, or recommendation systems. McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds. More ❯

present skillset ? Min 4 years of 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 in at 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 autonomy within a collegial and collaborative environment ? Strong capacity to communicate with technologists, data More ❯

workflow automation (e.g., Power Automate) and low-code/no-code solutions (e.g., Power Apps) to empower non-technical users. Develop and prototype solutions to address inefficiencies (e.g., document processing, data extraction). Evaluate feasibility, cost, and ROI of proposed AI solutions. Prepare structured reports and presentations for leadership, ensuring alignment with business goals and compliance standards. Report on … pursuing or recently completed a qualification in Computer Science, Artificial Intelligence, or a related field Exposure to Python and data preprocessing techniques Solid understanding of machine learning concepts, including NLP, LLMs, and reinforcement learning Ability to evaluate and communicate technical solutions to non-technical audiences Strong attention to detail, organisational and communication skills High level of discretion when dealing with More ❯