4 of 4 Part-Time Natural Language Processing Jobs in the UK excluding London

of commercial experience in a Data Science role building statistical & machine learning models. Have built and deployed machine learning models in production. Excellent use of Python Particular experience in NLP, LLMs, and RAGs are highly prized given the focus on these projects. CI/CD & MLOps experience is valued Databricks experience is valued If this role interests you and you More ❯

automated pipelines using Python , AWS , and Docker to clean, validate, and standardise speech data, detecting duplicates, transcription inconsistencies, or quality issues. Develop and integrate APIs to streamline ingestion and processing of new datasets. Analyse speech datasets to support ASR and TTS model development, performance evaluation, and linguistic research. Implement and manage data version control tools to ensure dataset reproducibility … and product teams to identify opportunities to improve data quality, balance, and diversity through targeted analysis and feedback loops. Key Skills & Experience Strong programming skills in Python for data processing, analysis, and automation. Proficiency with SQL for developing and managing large-scale datasets. Experience with AWS cloud services. Hands-on … experience with Docker and containerised development environments. Familiarity with data versioning tools (e.g., LakeFS, DVC) and dataset reproducibility principles. Strong collaboration and communication skills. Background in speech, audio, or NLP data processing is highly desirable. Interview Process 30-minute video call with the team lead Take-home technical exercise 90-minute face-to-face interview About ConnexAI ConnexAI is More ❯

to build tools that make healthcare more efficient, effective, and human. The Role Were looking for a Senior AI/Machine Learning Engineer to design, build, and scale advanced language and machine learning systems at the core of the companys clinical platform. Youll work closely with clinicians, product managers, and software engineers to transform complex healthcare challenges into … robust, data-driven solutions. This is a hands-on role with broad impacttouching everything from model training and deployment to safety evaluation and infrastructure. Key Responsibilities: Design and implement NLP and ML systems for clinical and conversational applications Build and maintain data pipelines, model training, fine-tuning, evaluation, and deployment workflows Collaborate cross-functionally to translate clinical requirements into scalable … ML systems Contribute to technical strategy, architectural decisions, and mentoring within the ML team What Were Looking For Essential: 4+ years of hands-on experience in AI, ML, or NLP, ideally in a product setting Strong knowledge of large language models (LLMs), embeddings, fine-tuning, and evaluation methods Advanced Python skills and experience with frameworks like PyTorch, TensorFlow, and More ❯

company advancing mental health research and supporting real-world NHS applications. They are now hiring an AI Engineer to join their growing technical team focused on deploying AI and NLP applications at scale. Youll collaborate closely with data scientists, researchers, and engineers to translate cutting-edge models into production systems, helping deliver impactful clinical tools and insights. What youll be … doing Building infrastructure to deploy NLP and AI models into production Developing backend services and workflows using Python, SQL, and orchestration tools Supporting MLOps, monitoring, and reproducibility of deployed systems Collaborating with cross-functional teams to operationalise research outputs Writing clean, well-documented code and contributing to testing frameworks What were looking for Solid Python engineering experience and familiarity with … containerised environments (Docker, Kubernetes) Knowledge of orchestration tools (e.g. Airflow), queuing systems (e.g. RabbitMQ), and Redis Experience working with or deploying NLP models or large language models Understanding of reproducibility, testing, and modern software practices Strong communication skills and collaborative mindset Desirable Background in healthcare, research environments, or data science teams Experience working with EHR data, Spark, or optimised More ❯