24 of 24 Permanent Natural Language Processing Jobs in Central London

Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to More ❯

day one! In this role, you’ll collaborate with machine learning engineers, product teams, and domain experts to design and deploy AI models that solve real-world problems. From natural language processing to computer vision and predictive analytics, you’ll get hands-on experience across a range of AI applications that are changing how we work and … degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, or a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers. Familiarity with data preprocessing, model evaluation, and deploying models in real-world environments. A passion More ❯

and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data science solutions. More ❯

and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data science solutions. More ❯

CD, and MLOps Share expertise through peer code reviews, documentation, and collaborative learning initiatives Stay current with emerging trends in AI/ML, particularly in areas such as LLMs, NLP, and intelligent document automation What skills and experience will I need to bring with me? You’ll need to be able to demonstrate the core skills for the role, although … in building, deploying, and maintaining ML models in production (cloud-based environments preferred) Solid understanding of core machine learning concepts, algorithms, and evaluation metrics Practical knowledge of LLMs and NLP techniques; experience using frameworks like Hugging Face Transformers or OpenAI APIs Strong Python programming skills to write clean, modular code and experience with core data science libraries Familiarity with software More ❯

Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this More ❯

genuinely make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a diverse, cross-functional team More ❯

. Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP, GenAI, and CausalAI. Familiarity with MLFlow, API design (FastAPI), and dashboard building (Dash). If this role looks of interest, reach out to Joseph Gregory More ❯

real-world retail problems, this role offers both impact and innovation at scale. 🚀 What You’ll Do: Research and build ML-driven solutions using techniques like clustering, regularised regression, NLP, and neural networks. Develop science modules that are deployed globally across client accounts. Dive into high-dimensional retail data to uncover new needs and optimise the in-store and online More ❯

Role: Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning. You will be apart of a highly unique research group across Natural Language Processing, Large Learning Models, deep learning, Bayesian & Signal Optimization with the exciting transition to the world of financial predication through the prism of machine learning. The More ❯

. Strong leadership skills with experience mentoring and managing data science teams. Deep knowledge of media measurement techniques, such as media mix modelling. Experience with advanced AI techniques, including NLP, GenAI, and CausalAI. Familiarity with MLFlow, API design (FastAPI), and dashboard building (Dash). If this role looks of interest, reach out to Joseph Gregory More ❯

AI initiatives and training efforts. Skills & Experience: Proven experience in applying AI or data science within the media, publishing, or digital content industry. Solid understanding of AI tools (e.g., NLP, computer vision, recommendation engines, generative AI) and their practical applications. Experience designing and delivering training or upskilling programs to diverse professional audiences. Strong analytical, problem-solving, and communication skills. Comfortable More ❯

AI initiatives and training efforts. Skills & Experience: Proven experience in applying AI or data science within the media, publishing, or digital content industry. Solid understanding of AI tools (e.g., NLP, computer vision, recommendation engines, generative AI) and their practical applications. Experience designing and delivering training or upskilling programs to diverse professional audiences. Strong analytical, problem-solving, and communication skills. Comfortable More ❯

emerging AI product landscape, identifying 'best-of-breed' solutions, innovative technologies, and potential partners that align with our business needs. This includes staying abreast of advancements in machine learning, natural language processing, computer vision, and other relevant AI domains. Vendor Evaluation & Selection: Lead the rigorous evaluation of AI vendors and products. This involves conducting detailed comparisons, assessing … degree is a plus. Skills required Artificial Intelligence (AI) Principles NextGen AI Trends & Applications Machine Learning (ML) Concepts & Methodologies Generative AI Applications & Capabilities Natural Language Processing (NLP) Use Cases Deep Learning Architectures Computer Vision Technologies Intelligent Automation Strategies More ❯

drive innovation in the BioTech space - specifically around drug discovery and RNA sequencing ROLE AND RESPONSIBILITIES Working closely within a small team, to design and build models across LLMs, NLP and Computer Vision Working alongside technical and non-technical stakeholders, creating insights and reports on key findings Driving the latest innovative research in AI, building and deploying core projects onto … platforms SKILLS AND EXPERIENCE MSc or PhD in STEM/AI related subject Proficiency in Python, SQL and DevOps & CI/CD Experience in Computer Vision/LLMs/NLP is required Background in HealthTech, BioTech, PharmaTech is a large benefit but otherwise any tech company working on the projects above Excellent communication skills with proven experience working with stakeholders More ❯

legal sector, and make informed recommendations on their adoption. CANDIDATE PROFILE//Candidates for this position must have: In depth knowledge of current AI trends including Generative AI, NLP, ML, and legal-specific AI applications (e.g. document automation, legal research, contract analysis). Experience with data science, data and solution architecture, machine learning, generative AI, and other AI-related More ❯

Data Scientist | Data & AI Consultancy | £60k-£80k DOE | Central London/Hybrid We are working on an exciting opportunity with a specialist data consultancy; they are looking for a Data Scientist to join their expanding team. The Company This consultancy More ❯

stages We're working with a UK-based healthtech company looking for a Lead AI Engineer. This role sits within a cross-functional Data & AI team, focused on taking NLP projects into production and improving system design and infrastructure. You’ll also guide a small technical team (2–3 people), but the focus remains deeply technical - ideal for someone from … a software engineering background. What you'll do: Build and scale NLP/document processing pipelines using microservices Lead 2–3 reports (data scientists + AIOps engineer) Set engineering standards and lead architecture, code reviews, and deployment Work with DevOps, product, and data teams to deliver production-ready solutions What you’ll need: Strong Python and experience with PyTorch … or TensorFlow Solid understanding of REST APIs, CI/CD, Docker, Kubernetes, and AWS Proven delivery of NLP/OCR projects with unstructured data Experience managing or mentoring engineers Bonus points for: Experience in regulated domains Knowledge of semantic search, graph/vector databases Java or C# background and understanding of SOLID principles 📩 Interested? Message me here or email mmatysik More ❯

is obviously a pre-requisite for this role, with experience required in processing and model development. You will develop end-to-end models and use a combination of NLP and OCR-based extraction techniques. In addition to the technical expertise you will bring and develop, this is a consultant role and you will be working with key stakeholders in … large financial institutions, good communication is essential. Requirements: Python Expertise Supervised and Unsupervised Learning NLP and OCR Experience Exposure to Modern Cloud Platforms (EG. Databricks, AWS) Abillity to Communicate Technical Concepts Nice to Have: Financial Services Experience Interviews ongoing don't miss your chance to secure the future of your career! Contact me @ (url removed) or on (phone number removed … . Data Science, Data Scientist, AI, ML, Random Forest, Databricks, SageMaker, Regression, Gradient Boosting, NLP, Palantir, Insurance, Banking More ❯

either a technical lead, or more of a people manager. RESPONSIBILITIES: Lead the end-to-end design, development, and implementation of ML/AI models Develop and deploy Large Language Models (LLMs) and/or internal chatbot systems. Collaborate with cross-functional teams to identify opportunities for leveraging data-driven insights. Mentor and develop a team of data scientists … and solutions to the organization. REQUIREMENTS: 4+ years in data science, with a strong preference for experience in the insurance or financial services sector. Experience working with LLMs and NLP frameworks such as Hugging Face or OpenAI is a strong advantage. Proven experience managing and mentoring a team of data professionals, with a commitment to fostering a collaborative environment. If More ❯

evolve our analytics and reporting capabilities in support of the CIO and research teams. Lead the development of proprietary tools and enhance our modelling capabilities using Python, R, SQL, NLP, and machine learning. Collaborate across data, infrastructure, and engineering teams to build scalable solutions. Guide the development of management reporting, investment KPIs, and external disclosures. Mentor a team of analysts … Python, R, and SQL is highly desirable. Understanding of ESG, performance, risk, and liquidity data. Excellent communication skills, with the ability to present complex findings to senior stakeholders. A natural leader and collaborator who takes initiative and thrives in dynamic environments. More ❯

at least 3 years focused on AI or advanced analytics Proven track record of leading high-impact engagements with enterprise clients Deep knowledge of AI technologies (e.g., machine learning, NLP, generative AI), and their practical applications. Understanding of AI governance, risk, and regulatory considerations Excellent communication, stakeholder management, and executive presence Advanced degree in Business, Computer Science, Engineering, or related More ❯

to help build cutting-edge data science solutions powered by digital consumer signals. The team works with massive volumes of digital data, turning it into clear, actionable insights using NLP, LLMs, and advanced marketing data science, helping brands make smarter, faster decisions. This team blends deep technical expertise with startup agility, and they’re looking for someone who’s excited … build from scratch, and turn noisy digital data into real-world impact. 📍 Location: London (Hybrid: 2-3 days/week in-office) 💡 Why join? Work on greenfield AI/NLP projects using the latest open-source tools & APIs Collaborate across data science, engineering, strategy, and insights Make an impact in a startup growing fast with big-name clients 🧠 What you … ll do: Design and prototype data science solutions using Python and NLP techniques Build models from scratch to extract insights from digital sources (social, reviews, search, etc.) Stay on top of AI trends and bring fresh ideas into production Translate complex problems into actionable ML solutions Work on both short POCs and longer-term innovation projects Interested? Apply now More ❯

from that background.Key Responsibilities: Develop and maintain Power BI dashboards Support data warehouse implementation and management Build integrations using Power Automate, APIs, etc. Improve and monitor data quality Support NLP for document analysis Collaborate across teams to identify automation opportunities Document data flows and support CRM data (FibreCRM) Essential Skills: Strong skills in Power BI, Power Automate Experience with Microsoft More ❯