20 of 20 Permanent Natural Language Processing Jobs in the City of London

the full lifecyclefrom business scoping and data engineering through to deployment, monitoring, and ethical considerations. Familiar with classical ML techniques (e.g., regression, classification, clustering), as well as deep learning, NLP, transfer learning, and recent advancements in LLMs and generative AI. Able to contextualise these techniques in industry settings, such as financial forecasting, operations optimisation, or customer segmentation. Comfortable with key More ❯

agency is seeking a Lead Data Scientist to develop and deploy end-to-end AI solutions. You'll work on machine learning models for retention, price optimisation, recommendation engines, NLP, and Computer Vision. Responsibilities: Design, develop, and productionize machine learning models across various applications. Work with Python (ideally production-level code) and other tools like SQL, Spark, and Databricks. Apply … clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Implement MLOps/DevOps practices in cloud environments (AWS, Azure, GCP). Ensure explainability, bias detection, and algorithmic fairness in models. Collaborate with stakeholders to translate business challenges into data-driven solutions. Requirements: MSc or PhD Degree in Computer Science, Artificial … Intelligence, Mathematics, Statistics or related fields. Strong Python skills (bonus: C++, SQL, Spark) Experience in ML algorithms (XGBoost, clustering, regression) Expertise in Time Series, NLP, Computer Vision, MLOps Knowledge of AWS/Azure/GCP, CI/CD, and Agile development Ability to own solutions and manage stakeholders How to Apply: Please register your interest by sending your CV to More ❯

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 ❯

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 ❯

. 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 ❯

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 ❯

real-world challenges like demand forecasting, personalisation, and customer segmentation Translate business problems into data science use cases and deliver measurable outcomes Apply clustering, classification, regression, time series modelling, NLP, and deep learning. Develop recommendation engines and leverage third-party data enhancements. Collaborate with stakeholders to translate business challenges into data-driven solutions Reporting back and presenting to non-technical 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 ❯

encourages experimentation and autonomy, backed by global infrastructure and top-tier clients. The Role You’ll be embedded in a high-performing data team focused on delivering predictive models, NLP solutions, and data products that drive business value in the insurance domain. Working end-to-end, you’ll lead modelling efforts from data wrangling to deployment, all while interfacing with … classification, regression, and clustering Work across the full model lifecycle: data prep, EDA, feature engineering, training, evaluation, and scaling Build predictive and propensity models for underwriting and claims Apply NLP and OCR for document classification and summarisation Collaborate with clients and cross-functional teams to translate data into action What You’ll Bring Strong hands-on data science and ML … and modern data science libraries Experience with AWS SageMaker, Databricks, or similar cloud tools Strong background in supervised/unsupervised learning, statistical modelling, and model deployment Solid understanding of NLP techniques for document processing Domain experience in insurance (e.g., underwriting, claims) Ability to work in a fast-paced, client-facing environment Perks & Benefits Competitive base salary, up to 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 ❯

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 ❯

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 ❯

role for you. In this role, you’ll work directly with clients to identify opportunities for AI, design intelligent solutions, and support successful implementation. Projects range across machine learning, NLP, and computer vision, and no two days are the same. You'll help organisations move from ambition to execution, building scalable models, integrating them into production, and ensuring measurable impact. More ❯

/React Native Up to £65k + Bonus + Equity London, UK (Hybrid 3 days a week in office) An award-winning AI company at the cutting edge of natural language processing and data visualisation is looking for a Front-End Developer to join their growing team. This business works on complex knowledge aggregation and insight discovery 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 ❯