23 of 23 Permanent Natural Language Processing Jobs in the North West

data exchange and processing (ETL, ESB, APIs). Proficiency in Python or similar programming languages. Familiarity with big data frameworks (e.g., Hadoop ecosystem). Desirable Skills: Understanding of NLP (Natural Language Processing) and OCR (Optical Character Recognition). Exposure to Generative AI concepts and tools. Experience with containerisation (e.g., Docker). Background in the industrial or 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 ❯

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 ❯

day | 6-month + | Remote, UK Build and scale backend systems, APIs, and ML pipelines powering real-world AI applications. Implement and optimise ML models: classification, regression, recommendation systems, NLP, LLMs. Design AI system architecture patterns and workflows (similar to large-scale data pipelines). Contribute to evaluation frameworks (acceptance testing, performance monitoring, production readiness). Deploy solutions in multi More ❯

day | 6-month + | Remote, UK Build and scale backend systems, APIs, and ML pipelines powering real-world AI applications. Implement and optimise ML models: classification, regression, recommendation systems, NLP, LLMs. Design AI system architecture patterns and workflows (similar to large-scale data pipelines). Contribute to evaluation frameworks (acceptance testing, performance monitoring, production readiness). Deploy solutions in multi More ❯

day | 6-month + | Remote, UK Build and scale backend systems, APIs, and ML pipelines powering real-world AI applications. Implement and optimise ML models: classification, regression, recommendation systems, NLP, LLMs. Design AI system architecture patterns and workflows (similar to large-scale data pipelines). Contribute to evaluation frameworks (acceptance testing, performance monitoring, production readiness). Deploy solutions in multi More ❯

day | 6-month + | Remote, UK Build and scale backend systems, APIs, and ML pipelines powering real-world AI applications. Implement and optimise ML models: classification, regression, recommendation systems, NLP, LLMs. Design AI system architecture patterns and workflows (similar to large-scale data pipelines). Contribute to evaluation frameworks (acceptance testing, performance monitoring, production readiness). Deploy solutions in multi More ❯

day | 6-month + | Remote, UK Build and scale backend systems, APIs, and ML pipelines powering real-world AI applications. Implement and optimise ML models: classification, regression, recommendation systems, NLP, LLMs. Design AI system architecture patterns and workflows (similar to large-scale data pipelines). Contribute to evaluation frameworks (acceptance testing, performance monitoring, production readiness). Deploy solutions in multi More ❯

visualisation, creating data analysis tools, and helping colleagues to use these tools in their daily work. In this role you will be involved in supporting data quality improvement, utilising NLP and machine learning methods to prepare the way for exciting developments aligning to Future Christie aims. You will be expected to work with the Analysts, Data Scientists and Statisticians within More ❯

data, or automation-driven projects within financial services or another highly regulated environment. Strong understanding of technology-enabled change, particularly involving data platforms, analytics, or automation tools (e.g. ML, NLP, RPA, GenAI). Excellent stakeholder management and communication skills, with the ability to influence at senior and executive levels. Strong project planning, governance, and risk management skills across both Agile 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 ❯

for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real … working in a multicultural work environment. It's Great if You Have PhD or MSc in Computer Science/Operations Research/Statistics or other quantitative fields. Experience in NLP, image processing and/or recommendation systems. Hands on experience in data engineering, working with big data framework like Spark/Hadoop. Experience in data science for e-commerce 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 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 ❯

of Conversational AI with ConnexAI As a Data Scientist on the Text-to-Speech (TTS) team, you will shape the voice of ConnexAI, bringing conversational intelligence to life through natural, expressive, and humanlike speech generation. You’ll research, design, and train SOTA TTS models that combine neural acoustic modelling, LLMs, and multimodal learning to produce voices that sound truly … define the future of human–AI interaction. Core Responsibilities Research, design, and train SOTA LLM-based and neural TTS models, combining diffusion, flow-matching, or autoregressive architectures for ultra-natural speech generation. Explore and implement expressive prosody modelling, emotion-conditioned synthesis, and speaker cloning for personalised voice experiences. Develop text–audio alignment and context-aware TTS pipelines that adapt … ensuring low latency and high perceptual quality for live conversational systems. Support deployment of models across ConnexAI’s AI Voice and Conversational AI platforms, ensuring seamless integration with ASR, NLP, and dialogue systems. Stay current with cutting-edge research in neural TTS, speech synthesis, and generative modelling, rapidly translating new ideas into production-ready improvements. Requirements MSc or PhD in More ❯

of Conversational AI with ConnexAI As a Data Scientist on the Text-to-Speech (TTS) team, you will shape the voice of ConnexAI, bringing conversational intelligence to life through natural, expressive, and humanlike speech generation. You’ll research, design, and train SOTA TTS models that combine neural acoustic modelling, LLMs, and multimodal learning to produce voices that sound truly … define the future of human–AI interaction. Core Responsibilities Research, design, and train SOTA LLM-based and neural TTS models, combining diffusion, flow-matching, or autoregressive architectures for ultra-natural speech generation. Explore and implement expressive prosody modelling, emotion-conditioned synthesis, and speaker cloning for personalised voice experiences. Develop text–audio alignment and context-aware TTS pipelines that adapt … ensuring low latency and high perceptual quality for live conversational systems. Support deployment of models across ConnexAI’s AI Voice and Conversational AI platforms, ensuring seamless integration with ASR, NLP, and dialogue systems. Stay current with cutting-edge research in neural TTS, speech synthesis, and generative modelling, rapidly translating new ideas into production-ready improvements. Requirements MSc or PhD in More ❯

of Conversational AI with ConnexAI As a Data Scientist on the Text-to-Speech (TTS) team, you will shape the voice of ConnexAI, bringing conversational intelligence to life through natural, expressive, and humanlike speech generation. You’ll research, design, and train SOTA TTS models that combine neural acoustic modelling, LLMs, and multimodal learning to produce voices that sound truly … define the future of human–AI interaction. Core Responsibilities Research, design, and train SOTA LLM-based and neural TTS models, combining diffusion, flow-matching, or autoregressive architectures for ultra-natural speech generation. Explore and implement expressive prosody modelling, emotion-conditioned synthesis, and speaker cloning for personalised voice experiences. Develop text–audio alignment and context-aware TTS pipelines that adapt … ensuring low latency and high perceptual quality for live conversational systems. Support deployment of models across ConnexAI’s AI Voice and Conversational AI platforms, ensuring seamless integration with ASR, NLP, and dialogue systems. Stay current with cutting-edge research in neural TTS, speech synthesis, and generative modelling, rapidly translating new ideas into production-ready improvements. Requirements MSc or PhD in More ❯

Junior Data Scientist - Fully remote (UK based only) – TimeSeries, NLP, Computer Vision We’re partnering with a fast-growing analytics and technology business operating in the media streaming sector to recruit a Full Stack Data Scientist. They provide data analytics tools for major entertainment brands that are household names around the globe. This role offers a chance to build models … analytics, forecasting, and AI/ML projects. Key responsibilities include: Enriching and preparing datasets to uncover actionable insights Building and evaluating time-series forecasts Prototyping AI/ML models (NLP and computer vision exposure) Translating findings into clear visual reports and concise business narratives Contributing to simple, reliable data pipelines and automated quality checks About You Minimum 1 year of … communicator - able to explain technical work clearly to non-technical audiences Why Apply Opportunity to build from scratch within a growing data function Exposure to cutting-edge work in NLP, time-series analysis, and computer vision Collaborative startup environment where ideas turn into production Competitive salary - £35,000–£50,000 DOE UK-based only, Fully remote working N.B. They do More ❯

at every stage. You’ll work within MBDA’s IM GenAI Delivery Office , contributing to the design and deployment of resilient, secure, and responsive data pipelines supporting AI and NLP initiatives. You’ll collaborate closely with internal stakeholders, leveraging your expertise in structured and unstructured data to ensure compliance with MBDA’s data governance standards, while actively shaping the organisation … Ensure data compliance and governance across multiple systems and workflows. • Work with SQL, noSQL, ETL, and API-based data exchange frameworks. • Support innovation by exploring and integrating Generative AI, NLP, and OCR technologies. • Contribute to the adoption of modern big data and containerisation technologies. Skills & Experience • Proven experience with SQL technologies (e.g. MS SQL, Oracle). • Experience with noSQL databases … Neo4J). • Strong data exchange and processing expertise (ETL, ESB, API). • Programming experience, ideally in Python. • Understanding of big data technologies (e.g. Hadoop stack). • Knowledge of NLP and OCR methodologies. • Familiarity with Generative AI concepts and tools (advantageous). • Experience with containerisation (e.g. Docker) is desirable. • Background in industrial and/or defence sectors (advantageous). What More ❯

at every stage. You’ll work within MBDA’s IM GenAI Delivery Office , contributing to the design and deployment of resilient, secure, and responsive data pipelines supporting AI and NLP initiatives. You’ll collaborate closely with internal stakeholders, leveraging your expertise in structured and unstructured data to ensure compliance with MBDA’s data governance standards, while actively shaping the organisation … Ensure data compliance and governance across multiple systems and workflows. • Work with SQL, noSQL, ETL, and API-based data exchange frameworks. • Support innovation by exploring and integrating Generative AI, NLP, and OCR technologies. • Contribute to the adoption of modern big data and containerisation technologies. Skills & Experience • Proven experience with SQL technologies (e.g. MS SQL, Oracle). • Experience with noSQL databases … Neo4J). • Strong data exchange and processing expertise (ETL, ESB, API). • Programming experience, ideally in Python. • Understanding of big data technologies (e.g. Hadoop stack). • Knowledge of NLP and OCR methodologies. • Familiarity with Generative AI concepts and tools (advantageous). • Experience with containerisation (e.g. Docker) is desirable. • Background in industrial and/or defence sectors (advantageous). What More ❯