1 to 25 of 65 Remote/Hybrid Natural Language Processing Jobs in the UK

/Machine Learning Engineer (NLP/LLM) - Contract Duration : 6 months Rate : Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role : A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist to support the development … complex natural language processing tasks, ensuring accuracy, efficiency, and scalability. Experience Requirements : Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g. ...

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 ...

leading R&D activity. You will lead the technical delivery of large AI projects, guiding multidisciplinary teams working across areas such as reinforcement learning, natural language processing, large language models, knowledge graphs, and AI applied to sensing domains including imagery, RF, radar, sonar, and acoustics. Alongside … stakeholders Desired experience in one or more of the following areas: AI/ML for imagery and computer vision , including remote sensing Reinforcement learning Natural language processing and large language models Knowledge graphs and graph‐based neural networks AI applied to RF, electronic warfare, radar, sonar ...

/Machine Learning Engineer NLP/LLM - Contract Manchester, UK Job type Full-time Job Description AI/Machine Learning Engineer NLP/LLM - Contract Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully remote, with occasional ad-hoc travel to the office The Role … support the development of next-generation AI solutions. This is an exciting opportunity to play a key role in designing and training Large Language Models from the ground up, and to contribute to the creation of an intelligent AI-powered chatbot that transforms the way information and insights ...

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 ...

deploy AI/ML models and intelligent applications across SBS platforms Develop solutions leveraging: Machine Learning (ML) Natural Language Processing (NLP) Generative AI (GenAI/LLMs) Translate business requirements into technical AI solutions that deliver measurable impact Model Deployment & MLOps Implement and manage ...

suite stakeholders through technical prototypes and evidence-led AI strategies. Solution Architecture: Designing and deploying scalable models across the ML lifecycle, focusing on NLP, time-series analysis, and autonomous agent workflows. Commercial Growth (Manager/Senior Manager): Identifying market opportunities, leading complex RFP responses, and developing new market-facing … consultancy or a dedicated internal transformation function is essential. Advanced Analytics: A proven track record in statistical modelling, natural language processing (NLP), and mathematical modelling methodologies. Agentic AI Focus: Demonstrated interest or experience in deploying Agentic frameworks to unlock business value. Stakeholder Influence: The ability to simplify ...

other web technologies such as HTML and CSS You have experience of integrating APIs and AI services You have a good understanding of Large Language Models (LLMs) and Natural Language Processing using Claude, OpenAI, Gemini, Foundry etc You're collaborative with advanced communication skills Ideally ...

performance, interpretability and appropriate use of AI, in line with organisational standards and expectations. Promotes the adoption of modern AI techniques, including machine learning, natural language processing and advanced analytics, where appropriate to business needs. Champions effective software engineering practices, including modular design, reuse of components … Studio. Well‐versed in modern machine learning approaches, MLOps practices and cloud‐based AI architectures. Proficient in Python, common machine learning frameworks, distributed processing concepts and core MLOps practices. Experience designing APIs, building microservices and implementing end‐to‐end ML pipelines on cloud platforms. Demonstrates experience of cloud platforms ...

link datasets, develop ETL pipelines and identify transactions of potential concern Has an understanding of advanced data science techniques such as machine learning, natural language processing and statistical analysis. Has experience of using data visualisation tools such as PowerBI Has experience with general ledger/ERP data ...

science fundamentals, including data structures, algorithms and software design Practical experience with classical machine learning techniques and an awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working ...

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 ...

venture-backed, Series A technology business operating at the intersection of life sciences, data science and artificial intelligence. Their platform applies AI and natural language processing to unlock insights from vast volumes of scientific data, supporting more efficient and informed drug discovery. The organisation is founder ...

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 com... CRWG1_UKTJ ...

sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services. AI & ML Leadership Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems. Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models. Evaluate and recommend ...

sources (streaming, batch, cloud, on‐premises) using Azure, AWS, and GCP services. AI & ML Leadership Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems. Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models. Evaluate and recommend ...

LangChain, LangGraph Proven experience with Git, unit testing, containerisation and agile methodologies (Jira, Confluence) Good knowledge of generative AI, machine learning, deep learning or NLP Strong communication skills able to explain technical concepts to varied audiences Qualifications Bachelor's degree (Master's or PhD preferred) in Computer Science, AI, Data ...

conceptualize business problems and solve them through data science solutions. Proven knowledge of AI techniques such as Bayesian methods, Clustering, Ensemble tree models, NLP, etc., with an excellent grasp of statistical concepts and methods. Strong passion for solving problems and finding patterns and insights within structured and unstructured data. Industry ...

Preferred Experience Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, Mathematics, or related field Experience with GenAI/LLMs and NLP applications Knowledge of regulatory frameworks in financial services (e.g., GDPR, model risk governance) Company Overview At SBS, we’re more than just a technology company ...

Code, GitHub Copilot, Cursor) as a core part of the development workflow to accelerate prototyping velocity. Working knowledge of ML fundamentals: classification, regression, clustering, NLP, embeddings, and model evaluation. Ability to move from idea to working prototype extremely quickly - comfort with imperfect code, fast iteration, and progressive refinement over waterfall ...

help shape modern AI-driven systems. What youll be doing Build and optimise data pipelines and ML workflows Develop and deploy ML models (NLP, deep learning, AI applications) Work with streaming and batch data pipelines across cloud platforms Implement CI/CD and MLOps frameworks Collaborate with cross-functional teams ...

similar agentic AI tooling) AWS/Azure cloud platforms (including AI services such as Bedrock) Data engineering tools (e.g. AWS Glue or equivalent) NLP, embeddings, vector databases, RAG architectures MLOps tooling for model deployment and monitoring Experience with distributed data systems and APIs Required Skills & Experience Several years' experience ...

level Design scalable solutions across cloud ecosystems (AWS, Azure, GCP) Lead implementation of MLOps frameworks and model lifecycle management Architect advanced AI use cases (NLP, LLMs, Agentic AI) Drive best practice across data governance, modelling, and platform design Engage with senior stakeholders to translate business needs into technical roadmaps What ...

team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration ...

team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration ...