1 to 25 of 78 Permanent Natural Language Processing Jobs in the UK

Engineer, you will contribute to designing, developing, and implementing AI-driven solutions. Daily tasks include building and optimizing machine learning models, applying natural language processing techniques, and enhancing pattern recognition systems. You will collaborate with cross-functional teams to identify challenges and implement innovative solutions tailored … Qualifications Strong expertise in Pattern Recognition and Neural Networks Proficiency in Computer Science and Software Development Experience in Natural Language Processing (NLP) techniques and applications Proven problem-solving and critical thinking skills Ability to work collaboratively within a hybrid environment Bachelor's or Master's degree ...

this role, you will be at the forefront of innovation, designing and maintaining the robust data architectures that power mission-critical AI and NLP initiatives. Since we operate in a highly regulated and secure environment, you will focus heavily on on-premise infrastructure , ensuring our Generative AI capabilities are powerful …/ELT) within air-gapped or on-premise data centers. AI Integration: Engineer data structures specifically for Natural Language Processing (NLP) and Large Language Models (LLMs) , including local vector databases and private model hosting. Infrastructure Management: Manage and scale on-premise big data clusters, ensuring high ...

Engineer (Machine Learning LLM Python) Newcastle onsite to £85k Are you an AI Engineer with fluent Polish language skills combined with a first class education looking for an opportunity to progress your career, working on complex and interesting AI systems in an impactful role? You could be joining … possibilities of AI in real world settings You have a data centric mindset with a good knowledge of LLMs (Large Language Models) and NLP (Natural Language Processing) You have a strong knowledge of modern software engineering best practices and have experience across the full software development ...

risk insights. You will mine data to find behavioural signals—such as spending volatility or income stability—that predict affordability, repayment, and fraud risk. NLP & Entity Resolution: Use classic NLP techniques (fuzzy matching, named entity recognition) to normalise, cleanse, and match and consumer identity data at scale. Generative AI & Explainability … clusters without needing a pre-defined hypothesis. Explainability: Experience using SHAP or similar frameworks to explain model outputs. Natural Language Processing (NLP): Entity Matching: Experience with deduplication, record linkage, or entity resolution. GenAI: Experience with LLM APIs and Context Engineering (constructing prompts, managing context windows, evaluating behaviour ...

Science to design, develop, and deploy scalable machine learning and deep learning solutions. The ideal candidate will have hands-on experience in model development, NLP, cloud platforms, and production-grade deployment, along with prior exposure to fast-paced startup environments. Key Responsibilities - Design, build, and optimize machine learning and deep … learning models for real-world applications. - Develop and deploy AI/ML solutions using modern Python-based frameworks. - Implement NLP models and solutions for structured and unstructured data. - Build and maintain production-ready ML pipelines, ensuring scalability and reliability. - Collaborate with cross-functional teams including engineering, product, and data teams. ...

with best development practices, CI, and tools such as git Desirable Criteria - Experience in Snowflake or other cloud platforms - Proficiency in Python - Experience of NLP/LLM usage in production settings - Experience in data pipeline orchestration Main duties of the job In this role, you will be expected to develop … clinical care to research, and from audit to innovation and AI projects. You will have the opportunity to deploy Large Language Model and NLP tooling orchestration frameworks as part of standard data transformation pipelines, for extracting information from unstructured free text. You will be supported in continuing your personal ...

deliver scalable, data-driven products. Key Responsibilities Design, develop, and optimize machine learning and deep learning models. Work on AI/ML projects including NLP, computer vision, recommendation systems, and generative AI. Perform data cleaning, feature engineering, and exploratory data analysis (EDA). Build and manage data pipelines and model … NumPy, Pandas, Scikit-learn). Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras. Experience in Natural Language Processing (NLP) and/or Computer Vision. Strong knowledge of Machine Learning algorithms and statistics. Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop ...

engineers, product managers, designers and policy stakeholders to translate user needs into scalable AI solutions. Contributing to AI-enabled capabilities such as intelligent automation, natural language understanding, prediction and decision support. Ensuring responsible, ethical and secure use of AI and data aligned with governance, privacy and public sector … Strong proficiency in Python for data science, machine learning and AI development. Experience developing and deploying machine learning or deep learning models. Knowledge of natural language processing, transformers or generative AI techniques. Solid grounding in statistics, probability and experimental design. Experience working with large datasets using ...

Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies ...

production environments. Strong track record of successfully translating academic research into real-world applications and products. Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery Deep … . Desirable: PhD degree or equivalent qualifications and experience in computer science, machine learning, artificial intelligence, or a closely related field. Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems. Experience in applying machine learning to educational assessment ...

purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression … break down and how automation can take friction out of these journeys. You'll own and deliver projects that explore how machine learning, natural language processing and automation can streamline workflows while reducing manual effort at scale. On a daily basis you will work closely with developers ...

purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression … break down and how automation can take friction out of these journeys. You'll own and deliver projects that explore how machine learning, natural language processing and automation can streamline workflows while reducing manual effort at scale. On a daily basis you will work closely with developers ...

purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression … break down and how automation can take friction out of these journeys. You'll own and deliver projects that explore how machine learning, natural language processing and automation can streamline workflows while reducing manual effort at scale. On a daily basis you will work closely with developers ...

purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression … break down and how automation can take friction out of these journeys. You'll own and deliver projects that explore how machine learning, natural language processing and automation can streamline workflows while reducing manual effort at scale. On a daily basis you will work closely with developers ...

software solutions. AI Framework & Deep Learning: Strong understanding of AI frameworks such as PyTorch, Triton and vLLM, with applied knowledge across domains such as Natural Language Processing, Vision, Audio and Recommendation Systems. GPU Computing: Strong experience with GPU Programming models (CUDA, HIP). Development Processes & Tools: Expert ...

grade data pipelines using Python, Scala, Spark, and SQL - Deep knowledge of AWS Cloud Platforms (EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB) - Experience with data processing across structured and unstructured sources - Strong scripting abilities and API integration skills - Knowledge of data visualization and reporting best practices Desirable but not essential … Experience with data mining and machine learning - Natural language processing expertise - Multi-cloud platform experience They work within an Agile environment with Scrum practices, cross-functional collaborative teams and need someone who can work from the office 2 days a week. Salary: £50,000 - £70,000 + ...

mindset, comfortable learning prompt engineering and system behaviour, with a process-driven approach to managing issues, QA, and feedback loops Familiarity with AI systems, natural language processing tools, or machine learning products Experience using tools like Jira, Confluence, or similar issue tracking and documentation systems 7+ years ...

client is a global leader in Generative AI SaaS, revolutionising how organisations create, manage, and optimise winning bids, tenders, and proposals using cutting-edge natural language processing technology. As one of the fastest-growing AI companies worldwide, they continue to scale rapidly to meet rising demand across ...

client is a global leader in Generative AI SaaS, revolutionising how organisations create, manage, and optimise winning bids, tenders, and proposals using cutting-edge natural language processing technology. As one of the fastest-growing AI companies worldwide, they continue to scale rapidly to meet rising demand across ...

client is a global leader in Generative AI SaaS, revolutionising how organisations create, manage, and optimise winning bids, tenders, and proposals using cutting-edge natural language processing technology click apply for full job details ...

diligence, and portfolio management. Over the past several years, they’ve built an in-house Data Science and AI function that applies advanced analytics, NLP, and large language models to real-world commercial and investment problems. This is a genuinely data-driven environment where technical work directly informs senior … commercial environment. Key Responsibilities Research and prototype new data science and LLM-driven use cases to support commercial and strategic decision-making Apply NLP and language analysis techniques to large, unstructured datasets Build, test, and iterate on machine learning models using strong classical data science foundations Support the productionisation ...

Acquisition & Preparation : Source, create, collect, clean, transform, and structure data for analysis and operational use, including synthetic data generation. Build and productionise ML/NLP solutions for legal and business use cases to enable better decision making. Feature Engineering & Integration : Develop new features, integrate data from internal/external sources ...

across client behaviour, operations and financial domains Build advanced models and data products, including customer and growth models, recommendation systems, gradient boosting & ensemble methods, NLP/text analytics, time-series forecasting, & generative AI use cases Monitor model performance and design experiments tied to clear hypotheses Translate ambiguous business questions into ...

with relevant projects An early-career technologist seeking formal qualifications and impactful work Essential skills: Strong foundation in AI/ML (e.g. neural networks, NLP, transformers) Proficiency in Python and ML frameworks (e.g. PyTorch, TensorFlow) Familiarity with LLM APIs and open-source models (e.g. GPT, Claude, Whisper) Understanding of agentic ...

Node.js for the backend. AI/ML Integration: Work closely with Data Scientists to deploy and integrate ML models (including LLMs, Predictive Models, and NLP) into production environments via RESTful APIs. Database Management: Design and optimize schemas for both SQL (Oracle, PostgreSQL) and NoSQL, (MongoDB), Snowflake databases. Cloud & DevOps: Deploy ...