11 of 11 Permanent Natural Language Processing Jobs in the Midlands

use of standard statistical tools e.g. R/Python and relevant associated libraries Deep expertise in building and maintaining AI and machine learning models, including use of deep learning, natural language processing, and LLMs Excellent leadership and team management skills. A solid understanding of data governance and ethical considerations. Outstanding communication skills to present complex data in More ❯

use of standard statistical tools e.g. R/Python and relevant associated libraries · Deep expertise in building and maintaining AI and machine learning models, including use of deep learning, natural language processing, and LLMs. Job Offer With offices in Birmingham and London, this role is suitable for anyone able to either location 2 days a week. Salary More ❯

As a Data Scientist, you'll work with some of the UK's largest datasets to uncover insights, test hypotheses, and support service transformation. You'll apply techniques like NLP, machine learning, and data visualisation to influence policy and improve health services. Collaborating across disciplines in an inclusive, supportive environment, you'll be part of a team driving evidence-based … this role, you'll analyse large datasets, some of the biggest in the UK public sector, to uncover insights, test hypotheses, and evaluate features. You'll use techniques like natural language processing, machine learning and data visualisation to support service transformation and policy development. You'll collaborate across disciplines, contribute to cross-cutting initiatives, and be supported More ❯

combining deep technical expertise with strategic client engagement. As a Solutions AI Architect, you will: Lead the design and delivery of AI and cloud-native architectures, including Generative AI, NLP, and LLM solutions. Act as a trusted advisor to senior stakeholders, guiding AI roadmaps and strategy. Translate complex business needs into scalable AI-driven solutions across public cloud, edge, and More ❯

leaders to understand objectives and translate them into scalable AI models ️ Architect data pipelines to support machine learning workflows and model deployments ️ Evaluate and implement deep learning, computer vision, NLP, and predictive modeling solutions ️ Conduct risk assessments on AI implementations and mitigate compliance or ethical concerns ️ Partner with DevOps to integrate AI models into production systems with CI/CD More ❯

work collaboratively in a team environment Nice to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work … techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse, and forward-thinking tech team Excellent Company Benefits 25+ Days Annual Leave , plus bank holidays Hybrid Working More ❯

work collaboratively in a team environment Nice to Have (But Not Required): Experience from a university project, hackathon, or internship involving AI or machine learning Understanding of neural networks, NLP, or computer vision concepts Experience using Jupyter notebooks, Git, or cloud platforms (AWS, GCP, Azure) Knowledge of SQL or data wrangling techniques What You’ll Gain Real-World Experience : Work … techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse, and forward-thinking tech team Excellent Company Benefits 25+ Days Annual Leave , plus bank holidays Hybrid Working More ❯

or data science. Experience with cloud platforms (AWS, GCP, or Azure) Knowledge of software engineering best practices, version control (Git), or CI/CD pipelines Understanding of deep learning, NLP, or computer vision Familiarity with deployment tools like Docker or MLflow What You’ll Gain Hands-on Experience : Work on real ML systems and contribute to production-grade solutions Mentorship … Training : Learn from senior ML engineers and participate in structured onboarding and learning paths Career Growth : Clear progression toward mid-level engineering or specialist roles in ML, NLP, or MLOps Innovation Culture : Be part of a forward-thinking team that values creativity, experimentation, and collaboration Excellent Company Benefits 25+ Days Annual Leave + bank holidays Flexible/Hybrid Working Options More ❯

or data science. Experience with cloud platforms (AWS, GCP, or Azure) Knowledge of software engineering best practices, version control (Git), or CI/CD pipelines Understanding of deep learning, NLP, or computer vision Familiarity with deployment tools like Docker or MLflow What You’ll Gain Hands-on Experience : Work on real ML systems and contribute to production-grade solutions Mentorship … Training : Learn from senior ML engineers and participate in structured onboarding and learning paths Career Growth : Clear progression toward mid-level engineering or specialist roles in ML, NLP, or MLOps Innovation Culture : Be part of a forward-thinking team that values creativity, experimentation, and collaboration Excellent Company Benefits 25+ Days Annual Leave + bank holidays Flexible/Hybrid Working Options More ❯

Sky. The Senior Machine Learning Engineer will play a key role in shaping the future of voice at Sky - building the intelligence that makes talking to your TV feel natural, responsive, and effortless. You'll design, develop, and maintain applied machine learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What … models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and … and Research Excellence (Big Plus) PhD in related subjects, extensive ML research background, academic publications in ML conferences/journals, and experience developing ML products for Voice, ASR, and NLP at scale. Team overview Our team builds and powers the voice experience that brings Sky's entertainment ecosystem to life. We design and deliver the machine learning models and cloud More ❯

Sky. The Senior Machine Learning Engineer will play a key role in shaping the future of voice at Sky - building the intelligence that makes talking to your TV feel natural, responsive, and effortless. You'll design, develop, and maintain applied machine learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What … models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and … and Research Excellence (Big Plus) PhD in related subjects, extensive ML research background, academic publications in ML conferences/journals, and experience developing ML products for Voice, ASR, and NLP at scale. Team overview Our team builds and powers the voice experience that brings Sky's entertainment ecosystem to life. We design and deliver the machine learning models and cloud More ❯