26 to 34 of 34 Natural Language Processing Jobs in the Thames Valley

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 ❯

with biological or scientific datasets (e.g. genomics, proteomics, or pharmaceutical data). Knowledge of bioinformatics or large-scale research data. Familiarity with Nextflow, Airflow, or Google Workflows. Understanding of NLP techniques and processing unstructured data. Experience with AI/ML-powered applications and containerised development (Docker). Contract Details Day Rate: £750 (Inside IR35) Location: London - 3 days per 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 ❯

possible extension based on performance We’re looking for an AI Research Engineer to join a world-leading social technology company known for building cutting-edge open-source large language models used by millions every day. You’ll work on next-gen AI assistants — improving prompts, testing agent behavior, and fine-tuning performance — while diving deep into Python codebases … model improvement initiatives You bring: Strong Python skills (can read/write multi-file codebases) Working with LLM frameworks (LangChain, MCP) Experienced with Leetcode Experience with AI/ML, NLP, or generative AI research Curiosity, problem-solving mindset, and attention to detail Tech Stack needed - Languages: Python (Advanced, LeetCode-level), PHP (basic familiarity) Databases: SQL (basic–intermediate querying & analysis) AI …/LLM Frameworks: LangChain, Model Context Protocol (MCP) Tools: Git/source control Concepts: Large Language Models (LLMs), prompt engineering, AI agent development 💡 This is your chance to work on AI that’s shaping the future — at a scale few companies in the world can match. 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 ❯

We are building a fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior NLP Engineer , with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will do 🚀 Build fundamental models for education … test results, analyse them, and build prediction models based on these results Optimise and fine-tune machine learning models for performance, scalability, and accuracy Essential skills 🙏 Strong expertise in NLP Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Experience building … automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and information retrieval Desirable Skills 👌 Can More ❯

for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’ Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data Create brand new dictionaries, applicable to any context - right now it’s the English language, but in the future it could be … data - including data from every movie, book, and song Work in a cross-functional team and communicate with backend engineers and product managers Create new types of tests for language learners to gather more test results, analyse them, and build prediction models based on these results Optimise and fine-tune machine learning models for performance, scalability, and accuracy Essential … Strong understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Great knowledge of NLP algorithms Expertise in Python and PyTorch Desirable Skills 👌 Can speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience (tech talks, articles, YouTube More ❯

for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’ Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data Create brand new dictionaries, applicable to any context - right now it’s the English language, but in the future it could be … data - including data from every movie, book, and song Work in a cross-functional team and communicate with backend engineers and product managers Create new types of tests for language learners to gather more test results, analyse them, and build prediction models based on these results Optimise and fine-tune machine learning models for performance, scalability, and accuracy Lead … Strong understanding of CI/CD pipelines and automation tools for efficient model deployment and monitoring Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Great knowledge of NLP algorithms Expertise in Python and PyTorch Desirable Skills 👌 Can speak, or learning to speak, more than one language Experience with reinforcement learning Knowledge-sharing experience (tech talks, articles, YouTube More ❯

datasets (text, audio, video, test results). Design and deploy data integration and analysis pipelines. Collaborate with engineers and product managers to bring ML features to life. Create innovative language assessments and predictive models. Optimize models … for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity with CI/CD pipelines and deployment automation. Strategic thinking around architecture and trade-offs. If interested please get in touch More ❯