19 of 19 Contract Natural Language Processing Jobs in the UK

a story and provide the business with key insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology used. This will ensure that More ❯

seeking a talented Front-End Engineer to help build and iterate on user interfaces that bring complex machine learning outputs to life - transcription analysis, graph-based risk models, and natural-language interfaces for end users in secure, disconnected environments. This is not your typical dashboard gig. It’s a chance to design and build offline-first, insight-rich … clarity and usability can have operational consequences. What You’ll Be Doing: Designing and developing React-based UIs for: Live and retrospective transcription review Graph navigation and data visualisation Natural language querying Insight generation and … reporting Building robust, offline-first interfaces that run in air-gapped, secure environments Creating visualisation components (e.g., networks, timelines) to support scenario analysis Integrating with backend APIs delivering LLM, NLP, and structured data outputs Contributing to internal design systems and building reusable, scalable components Collaborating closely with users and the wider delivery team to evolve features through feedback What You More ❯

onsite Duration: Until Dec 2025- possible extension Role Overview: We are looking for a Research Assistant with 2+ years of experience in prototyping and testing AI agents or large language models (LLMs). You will design test prompts, experiment with prompt engineering, and debug AI agent tool calls within a Python/PHP software stack. You’ll also help … Bachelor’s degree in Computer Science, Computer Engineering, or related field (or equivalent experience). 2+ years of experience in research or prototyping within machine learning, deep learning, or natural language processing. Proficient in Python, with the ability to understand and work with a codebase containing multiple interrelated files. Experience with AI agent frameworks such as Model Context More ❯

Architect and implement backend services that support secure, air-gapped AI deployments, with a focus on NLP-based tooling * Develop pipelines for transcription ingestion and real-time analytical insight generation * Support graph and RAG-based inference layers using data from structured and unstructured sources * Build and expose APIs for frontend consumption, enabling natural-language querying, dynamic visualisation, and More ❯

frontend engineers, data scientists, platform engineers, and external partners. What You'll Do * Architect and implement backend services that support secure, air-gapped AI deployments, with a focus on NLP-based tooling * Develop pipelines for transcription ingestion and real-time analytical insight generation * Support graph and RAG-based inference layers using data from structured and unstructured sources * Build and expose … APIs for frontend consumption, enabling natural-language querying, dynamic visualisation, and reporting * Ensure system portability via containerisation * Collaborate closely with data scientists to integrate self-hosted LLMs and analysis models into the backend infrastructure * Work with platform engineers to tune deployments for hardware-limited environments What You Bring * Strong experience building secure, scalable backend systems in Python and More ❯

AI firm on a mission-critical Defence deployment. This greenfield build calls for a Golang specialist to help deliver backend systems that support real-time inference, transcription pipelines, and natural language interaction all under tight performance and security constraints. Your Role: Build high-performance services using Golang in secure environments Develop ingestion and processing pipelines … for transcription and structured/unstructured data Contribute to intelligent data flows including graph-based and RAG inference pipelines Expose well-structured APIs to support real-time dashboards and NLP workflows Deploy and scale systems using Kubernetes and Docker Collaborate with platform and data science teams to optimise model integration and system performance Your Experience: Advanced Golang engineering background, ideally More ❯

AI firm on a mission-critical Defence deployment. This greenfield build calls for a Golang specialist to help deliver backend systems that support real-time inference, transcription pipelines, and natural language interaction – all under tight performance and security constraints. Your Role: Build high-performance services using Golang in secure environments Develop ingestion and processing pipelines … for transcription and structured/unstructured data Contribute to intelligent data flows including graph-based and RAG inference pipelines Expose well-structured APIs to support real-time dashboards and NLP workflows Deploy and scale systems using Kubernetes and Docker Collaborate with platform and data science teams to optimise model integration and system performance Your Experience: Advanced Golang engineering background, ideally More ❯

and they need backend engineering specialists who thrive in complexity. This is a unique opportunity to build adaptable, containerised backend systems to support real-time inference, transcription pipelines, and natural-language interaction layers, enabling operational decisions in demanding environments. What You’ll Be Doing: Architecting and implementing secure backend services to support AI deployments in classified settings Developing … and real-time insight generation capabilities Supporting graph and RAG-based inference pipelines using structured and unstructured data Exposing robust APIs for frontend engineers to deliver interactive dashboards and NLP-driven workflows Ensuring system portability via containerisation (Kubernetes, Docker) Collaborating closely with data scientists to integrate self-hosted LLMs and analysis models Working with platform engineers to optimise performance in More ❯

high quality prompts to create company internal benchmarks for AI agents similar to MLEBench and BFCL. Qualifications: Research or prototyping experience in machine learning, deep learning, and/or natural language processing. Programming experience in Python and hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. Exposure to architectural patterns of large scale software More ❯

algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Machine Learning Engineer, timeseries, forecasting, VertexAI, GCP Reasonable Adjustments: Respect and equality are core values to us. We More ❯

AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision) using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date … stakeholders. Ensure your workflows are reproducible and well-documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on More ❯

AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision) using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date … stakeholders. Ensure your workflows are reproducible and well-documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on More ❯

Architect and implement backend services that support secure, air-gapped AI deployments, with a focus on NLP-based tooling Develop pipelines for transcription ingestion and real-time analytical insight generation Support graph and RAG-based inference layers using data from structured and unstructured sources Build and expose APIs for frontend consumption, enabling natural-language querying, dynam click apply More ❯

Data Scientist (Contract) – AI/NLP for Cleared Defence Deployment Contract | Inside IR35 | £600–£700/day | Hybrid/Secure Site | SC/DV Cleared | UK Nationals Only Contract Length: Initial 3-month engagement (rolling), forming part of a 6–9 month delivery track We've partnered with a fast-paced UK-based AI software company delivering a major MOD … work, constrained by real-world operational, compute, and security boundaries and delivered as part of a small, elite, cross-functional team. What You’ll Be Doing: Designing and implementing NLP pipelines for transcription, topic extraction, and summarisation Developing modular LLM workflows (e.g., RAG, graph-based reasoning) optimised for low-resource deployments Integrating structured and unstructured data: transcripts, policy documents, supply … site trials, tuning performance and refining capability under pressure Ensuring alignment of AI output with operational decision-making requirements What You’ll Bring: Hands-on experience building and deploying NLP/LLM solutions, including summarisation, entity extraction, and topic modelling Strong Python skills with libraries such as HuggingFace Transformers, spaCy, PyTorch/TensorFlow, or RAG frameworks Experience with knowledge graphs More ❯

and innovative developer to provide hands-on technical leadership within the Land Registration Automation team. You will help transform research into a robust, production-grade automation service, leveraging OCR, NLP, and machine learning to analyse legal documents and accelerate registration processes. Working closely with other internal teams to integrate solutions into the digital registration platforms, ensuring scalability, quality, and maintainability … while driving continuous improvement. What You'll Do Design, build, and maintain automation services using AWS serverless architecture. Develop components for OCR, NLP, signature detection, and title change prediction. Turn R&D prototypes into reliable production solutions. Analyse and improve system performance through robust data analysis. Provide high-quality operational support, troubleshooting issues across multiple platforms. Collaborate in Agile teams … modern engineering practices such as pairing, mobbing, and XP techniques. Mentor and support colleagues, sharing knowledge and best practices. What We're Looking For Proven commercial experience with OCR, NLP (SpaCy), and ML techniques. Strong AWS skills (CDK, Lambda, S3, API Gateway, CloudFormation, Aurora/Postgres). Proficiency in Python and TypeScript. Experience designing and implementing serverless, service-based architectures. More ❯

and innovative developer to provide hands-on technical leadership within the Land Registration Automation team. You will help transform research into a robust, production-grade automation service, leveraging OCR, NLP, and machine learning to analyse legal documents and accelerate registration processes. Working closely with other internal teams to integrate solutions into the digital registration platforms, ensuring scalability, quality, and maintainability … while driving continuous improvement. What You'll Do Design, build, and maintain automation services using AWS serverless architecture. Develop components for OCR, NLP, signature detection, and title change prediction. Turn R&D prototypes into reliable production solutions. Analyse and improve system performance through robust data analysis. Provide high-quality operational support, troubleshooting issues across multiple platforms. Collaborate in Agile teams … modern engineering practices such as pairing, mobbing, and XP techniques. Mentor and support colleagues, sharing knowledge and best practices. What We're Looking For Proven commercial experience with OCR, NLP (SpaCy), and ML techniques. Strong AWS skills (CDK, Lambda, S3, API Gateway, CloudFormation, Aurora/Postgres). Proficiency in Python and TypeScript. Experience designing and implementing serverless, service-based architectures. More ❯

Software Engineer (OCR/NLP/AWS) | Remote | 6-months | £525pd outside ir35 We're looking for a skilled Software Engineer to join our client in the public sector. You will help build a production-ready automation service that uses OCR and NLP to process deeds. You'll work with modern AWS technologies to deliver scalable, serverless solutions based on … R&D outcomes. Key Responsibilities: Develop automation services using OCR, NLP (e.g. Spacy), and ML Build AWS serverless components (Lambda, API Gateway, S3, Aurora/Postgres) Use Python and TypeScript to deliver high-quality code Conduct research spikes to expand service capabilities Analyse data to verify and improve system behaviour Support and improve operational services Contribute to disaster recovery assurance … and performance monitoring Collaborate using Agile (Scrum/Kanban), XP practices (pairing, mobbing, TDD) Essential Skills & Experience: Strong experience with OCR, NLP (Spacy), and ML techniques Proficient in AWS services: CDK, Lambda, S3, API Gateway, CloudFormation, Aurora/Postgres Advanced Python and TypeScript development skills Experience designing serverless/service-based architectures Skilled in infrastructure-as-code and cloud monitoring More ❯

Contract Type: Outside IR35 Day Rate: £375 - £400 per day Senior LLM & Multi-Agent Systems Engineer Location: Flexible (UK or Europe preferred) Type: Permanent/Contract Industry: AI, NLP, and Applied Machine Learning We are seeking a highly experienced AI engineer with deep expertise in large language models (LLMs) , multi-agent systems , and emerging prompt and context engineering practices More ❯

regulation. Project goals include: Identifying where AI can support policy development Building POCs and prototypes Delivering a business case outlining various AI use cases and feasibility Exploring use of NLP tools to process and interact with policy documents Developing support tools like chatbots or interactive guidance systems Role Overview The candidate will work alongside a multidisciplinary team of aviation consultants … AI engineers, policy experts, and UX developers. The role involves: Prototyping AI/NLP tools for policy analysis and consultation feedback processing Building retrieval-augmented generation (RAG) systems to provide policy guidance Preparing datasets and pipelines using structured and unstructured regulatory data Contributing to model evaluation and iteration based on user feedback Developing prototype tools to support operators, such … for R&D reporting Key Responsibilities Identifying opportunities to apply AI techniques across the policy development lifecycle Cleaning, transforming, and preparing data for AI models Implementing and fine-tuning NLP models for tasks such as classification, clustering, and sentiment analysis Assisting in the development and testing of AI features for internal proof-of-concept tools Collaborating with the UX and More ❯