51 to 55 of 55 Natural Language Processing Jobs in the Thames Valley

into ML workflows Writing clean, production-level code to support large-scale model development and deployment Optimising storage, retrieval, and processing for complex datasets, including text-heavy/NLP data Evaluating and adopting new technologies to enhance machine learning infrastructure What you bring Strong software engineering experience, with a focus on writing high-quality, scalable code Experience in data … Python, Scala, or Java Cloud experience (AWS, GCP, or Azure), plus modern data technologies (e.g. Spark, Kafka, Airflow, Dagster, Kedro) Background in industries with complex datasets, such as healthtech, NLP, or other large-scale data applications Leadership opportunity Alongside core engineering hires, the team is also seeking one senior profile with people leadership experience - ideally a 50/50 split 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 ❯

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 ❯

be doing: Designing, building and deploying ML-powered features across a production platform Working across Python and TypeScript , integrating models into scalable, real-time systems Fine-tuning and training NLP models using techniques like transformers Driving the machine learning strategy and building best practices from the ground up Collaborating closely with product, engineering, and leadership What we’re looking for … Strong commercial experience building and deploying ML models in production Proficiency in Python and familiarity with TypeScript/JavaScript Experience with NLP or recommendation systems is a bonus Excited by start-ups: product-minded, hands-on, and motivated by impact What’s on offer: £100,000 - £120,000 salary + meaningful equity 4 days/week in a modern London 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 ❯