51 to 75 of 77 Natural Language Processing Jobs in the South East

Git/GitHub and continuous deployment workflows. Preferred Skills Experience with Docker and multi-container application architecture. Backend development using FastAPI . Knowledge of AI/ML techniques , especially NLP and language models. Experience with Kubernetes and Google Kubernetes Engine (GKE) . Exposure to frontend development (e.g., React ) is a plus. Please apply with your updated CV if this More ❯

data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Some More ❯

data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Some More ❯

experience. Design, develop, test, and deploy enterprise applications using Microsoft technologies. Build secure fintech workflows aligned with compliance (GDPR, OAuth, encryption). Integrate and deploy AI/ML components (NLP and recommendation systems). Collaborate in an Agile (Scrum/Kanban) environment with technical and business teams. TECH STACK/REQUIREMENTS Strong experience with .NET, C#, Azure, Power Platform Proven … background building secure enterprise/banking systems AI/ML integration proficiency (NLP, recommendation systems) Compliance awareness Cloud deployment experience (Azure/AWS) - highly desirable Backend development using other languages such as Python, Java - highly desirable SQL/NoSQL database design & optimisation - desirable DevOps (CI/CD pipelines, Docker, Kubernetes) - desirable TO BE CONSIDERED... Please apply directly by emailing with More ❯

Technical Support Engineer/Graduate IT Engineer 35-38k, Trainee. SaaS, Cloud, NLP, AI, Machine Learning, Data Science, Python, MATLAB, Software Development Tools, Technical Support, Client facing, Computer Science, STEM, Mathematics, Physics, Natural Science, Electronic Engineering Graduate, who want to work with awesome Technologies such as, AI, Machine2Machine Learning, Cloud Applications, Unified Communications, Software Solutions IT Security, and … The Person :Technical Support Engineer/Graduate Software Developer 2:1 Bachelors Degree in Computer Science/STEM/Mathematics/Physics/Chemistry/Electronic/Electrical Engineering, Natural Science, Learning and Developing their skills, (Life learner attitude) Experience communicating technical information to a variety of technical and non-technical people Experience or knowledge of database query language More ❯

a fast-growing analytics team that’s redefining how a global insurer operates. This role is about building intelligent automation solutions that combine AI, machine learning and advanced data processing to transform business performance. Role Overview: Location: Hybrid/Central London Package: £80,000–£100,000 per annum Performance Bonus Benefits Industry: Insurance What You’ll Be Doing: Partner … opportunities and shape new projects. Lead the design and delivery of AI-driven automation solutions across underwriting and claims. Act as subject matter expert for intelligent automation technologies including NLP, OCR/IDP, computer vision and LLMs. Manage and mentor offshore resources, ensuring quality and speed of delivery. Build proof-of-concepts that demonstrate real business value from AI. Support More ❯

of ambitious projects, shaping the architecture, direction, and delivery of advanced AI initiatives. What you’ll do Lead the design and development of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art … model deployment, evaluation, and optimisation. What we’re looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs … team shaping the future of intelligent systems, apply now. Machine Learning Lead Central London (Hybrid - 3 days/week in office) Up to £120k Shares Benefits ML, Agentic AI, NLP, Generative AI, Python, Leadership More ❯

impact investment evaluation and analytics. The successful candidate will act as the team’s practical AI lead, owning the knowledge graph, GNN/graph-embedding models, and LLM/NLP extraction + RAG systems that power investment workflows. Alongside this, the role will involve designing research processes, monitoring portfolios, and contributing to systematic fund-of-funds strategies. Key Responsibilities Systematic … well-documented insights. AI & Data Systems: Design and maintain domain ontologies, building and operating knowledge graphs (e.g., Neo4j) with versioning, provenance, consent/visibility controls, and schema evolution. Build NLP/LLM pipelines for information extraction across diverse document sources; develop hybrid retrieval systems with evaluators for relevance, faithfulness, and citation. Train embeddings for nodes and relations, prototype GNNs and … training to ensure best practices across teams Preferred Qualifications: Experience in financial services (e.g., brokerage, asset management, or banking) or a strong macroeconomic research background Familiarity with machine learning, NLP, and large language models (LLMs) Knowledge of various datasets (e.g., earnings, filings, credit card, CCTV) Master’s degree in a relevant field is a plus More ❯

impact investment evaluation and analytics. The successful candidate will act as the team’s practical AI lead, owning the knowledge graph, GNN/graph-embedding models, and LLM/NLP extraction + RAG systems that power investment workflows. Alongside this, the role will involve designing research processes, monitoring portfolios, and contributing to systematic fund-of-funds strategies. Key Responsibilities Systematic … well-documented insights. AI & Data Systems: Design and maintain domain ontologies, building and operating knowledge graphs (e.g., Neo4j) with versioning, provenance, consent/visibility controls, and schema evolution. Build NLP/LLM pipelines for information extraction across diverse document sources; develop hybrid retrieval systems with evaluators for relevance, faithfulness, and citation. Train embeddings for nodes and relations, prototype GNNs and … training to ensure best practices across teams Preferred Qualifications: Experience in financial services (e.g., brokerage, asset management, or banking) or a strong macroeconomic research background Familiarity with machine learning, NLP, and large language models (LLMs) Knowledge of various datasets (e.g., earnings, filings, credit card, CCTV) Master’s degree in a relevant field is a plus More ❯

impact investment evaluation and analytics. The successful candidate will act as the team’s practical AI lead, owning the knowledge graph, GNN/graph-embedding models, and LLM/NLP extraction + RAG systems that power investment workflows. Alongside this, the role will involve designing research processes, monitoring portfolios, and contributing to systematic fund-of-funds strategies. Key Responsibilities Systematic … well-documented insights. AI & Data Systems: Design and maintain domain ontologies, building and operating knowledge graphs (e.g., Neo4j) with versioning, provenance, consent/visibility controls, and schema evolution. Build NLP/LLM pipelines for information extraction across diverse document sources; develop hybrid retrieval systems with evaluators for relevance, faithfulness, and citation. Train embeddings for nodes and relations, prototype GNNs and … training to ensure best practices across teams Preferred Qualifications: Experience in financial services (e.g., brokerage, asset management, or banking) or a strong macroeconomic research background Familiarity with machine learning, NLP, and large language models (LLMs) Knowledge of various datasets (e.g., earnings, filings, credit card, CCTV) Master’s degree in a relevant field is a plus More ❯

Engineer to join an innovative technology team working on intelligent solutions that make a real impact. In this role, you'll use cutting-edge machine learning techniques and large language models to design, implement, and optimise AI-driven systems that enhance productivity and solve complex business problems. If you're passionate about AI, thrive in fast-moving environments, and … and integrating the best tools into the tech stack. Prototyping, testing, and refining AI applications to improve accuracy and performance. Writing clean, modular Python code and performing rapid data processing and feature engineering. Identifying and prioritising opportunities for … AI implementation based on business needs and feedback. Translating complex technical concepts into clear, accessible explanations for stakeholders. What we're looking for Essential: Strong experience with Gen AI, NLP, and machine learning. Proven ability to create, train, and fine-tune LLMs/SLMs. Skills in prompt engineering and RAG (retrieval-augmented generation). Solid background in Python, Java, and More ❯

Extras Experience with machine learning, large language models, or other advanced AI technologies.Previous work in customer service or support environments. Formal AI-related qualifications or certifications (e.g., ML, NLP, prompt engineering). Coding proficiency in Python, R, or Java. Salary £55,000-£65,000 per annum RSG Plc is acting as an Employment Agency in relation to this vacancy. More ❯

NLP/Information retrieval - Lead Data Scientist - Research Scientist - GenAI Ready to work for one of the most exciting Data Science Labs teams in the world!?! I am currently recruiting for a Lead Applied Scientists are experts in NLP, Machine learning, Information retrieval with some exposure in GenAI. You will be responsible for the design and delivery of AI solutions … of Lead Applied Scientist if your background includes: PhD in a relevant discipline or Master’s plus a comparable level of experience, Vastly experienced in hands-on experience building NLP/IR systems for commercial applications, Experience writing production code and ensuring well-managed software delivery, Demonstrable experience translating complex problems into successful AI applications, Professional experience scaling yourself and More ❯

NLP/Information retrieval - Lead Data Scientist - Research Scientist - GenAI Ready to work for one of the most exciting Data Science Labs teams in the world!?! I am currently recruiting for a Lead Applied Scientists are experts in NLP, Machine learning, Information retrieval with some exposure in GenAI. You will be responsible for the design and delivery of AI solutions … of Lead Applied Scientist if your background includes: PhD in a relevant discipline or Master’s plus a comparable level of experience, Vastly experienced in hands-on experience building NLP/IR systems for commercial applications, Experience writing production code and ensuring well-managed software delivery, Demonstrable experience translating complex problems into successful AI applications, Professional experience scaling yourself and More ❯

NLP/Information retrieval - Lead Data Scientist - Research Scientist - GenAI Ready to work for one of the most exciting Data Science Labs teams in the world!?! I am currently recruiting for a Lead Applied Scientists are experts in NLP, Machine learning, Information retrieval with some exposure in GenAI. You will be responsible for the design and delivery of AI solutions … of Lead Applied Scientist if your background includes: PhD in a relevant discipline or Master’s plus a comparable level of experience, Vastly experienced in hands-on experience building NLP/IR systems for commercial applications, Experience writing production code and ensuring well-managed software delivery, Demonstrable experience translating complex problems into successful AI applications, Professional experience scaling yourself and More ❯

compliant with governance standards Applying your expertise in data management, processing, and quality assurance Staying ahead of emerging technologies, contributing to the technology roadmap Delivering innovative solutions in NLP, OCR, and Generative AI applications Experience required: Strong SQL skills (e.g. MS SQL, Oracle) and noSQL skills (e.g. MongoDB, Neo4J) Proficiency in data exchange and processing tools (ETL, ESB … APIs) Development skills in Python and familiarity with Big Data technologies (e.g. Hadoop) Knowledge of NLP and OCR; Generative AI expertise advantageous Understanding of containerisation (Docker) and, ideally, the industrial/defence sector The Package: Company bonus: Up to £2,500 (based on performance) Pension: Up to 14% total contribution (employer & employee) Overtime: Paid opportunities available Flexi Leave: Up to More ❯

quality standards Contribute to the technology roadmap with insights into emerging tools and platforms Work across SQL, NoSQL, Python, ETL, and big data ecosystems Support projects involving Generative AI, NLP, and OCR What You'll Bring Proven experience in on-prem to cloud data migrations Strong SQL (e.g. MS SQL, Oracle) and NoSQL (e.g. MongoDB, Neo4J) skills Expertise in Python … ETL, API integration, and data processing Familiarity with Hadoop, Docker, and containerisation technologies Knowledge of Generative AI, NLP, or OCR is a plus Understanding of data governance and compliance in secure environments Eligibility for SC clearance -British citizens only Why This Role Stands Out Paid Overtime - every hour counts Bonus Scheme - your impact rewarded This isn't just a More ❯

Oracle) NoSQL technologies (e.g. MongoDB, InfluxDB, Neo4J) Data exchange and processing tools (ETL, ESB, API) Programming experience (Python or similar) Big data tools (e.g. Hadoop stack) Knowledge of NLP, OCR, and Generative AI is advantageous Experience with containerisation (e.g. Docker) is beneficial Familiarity with defence or industrial sectors is a plus Benefits Package: Annual bonus up to More ❯

maintain robust, secure, and high-integrity datasets for internal defence applications. Design and optimise data pipelines to ensure reliable, compliant, and scalable solutions. Apply your expertise in Generative AI, NLP, and OCR to enhance and automate data processes. Build ETL workflows, APIs, and other data integration solutions tailored for mission-critical environments . Provide guidance on emerging technologies and support … next-generation defence data solutions . Skills and experience: Strong knowledge of SQL (MS SQL, Oracle) and noSQL databases (e.g., MongoDB, Neo4J, InfluxDB). Hands-on experience with data processing … and integration tools , including ETL, ESB, and APIs. Proficiency in Python or similar programming languages. Exposure to big data technologies (Hadoop or similar frameworks). Familiarity with Generative AI, NLP, or OCR applications is highly desirable. Previous experience in the industrial or defence sector is advantageous. Salary & Working Model: £45,000 - £55,000 depending on experience Onsite in the UK More ❯

present skillset ? Min 4 years of relevant experience ? Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering ? Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus ? Capacity to multi-task in a fast paced environment while keeping strong attention to detail ? Coding skills required in at least one leading programing … language (Python, R, Matlab and/or C++, C#) ? Experience in exploring large datasets across multiple time frames is a plus ? Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields ? Capacity to work with autonomy within a collegial and collaborative environment ? Strong capacity to communicate with technologists, data More ❯

re hiring a Data Engineer with a passion for automation, clean pipelines, and the future of AI. This is your chance to shape how data powers Generative AI and NLP tools in a secure, high-tech organisation working on projects that matter. If you're keen to work on innovative internal use-cases - from AI assistants to intelligent search and … this is the perfect next step. ?? What You'll Be Doing Building and maintaining data pipelines across structured & unstructured sources Collaborating with internal teams to support Generative AI and NLP projects Ensuring data is secure, compliant, high-quality, and easy to access Bringing your ideas to the table as we explore new tools and technologies Supporting internal customers across multiple … MS SQL, MongoDB, Neo4J) Python skills for scripting and automation ETL and data exchange experience (e.g. APIs, ESB tools) Knowledge of Big Data (e.g. Hadoop) Curiosity about AI, particularly NLP, OCR or Generative AI ?? Bonus Points For Docker/containerisation experience Any previous work in industrial, aerospace or secure environments Exposure to tools like LLMs, OCR engines, or knowledge graphs More ❯

for a skilled iOS Developer to build and deploy AI-powered fintech mobile apps. You will work on secure, high-quality solutions while integrating machine learning features such as NLP and recommendation systems. THE ROLE Develop and deploy iOS apps (Swift/Objective-C, iOS SDK, App Store). Integrate RESTful APIs and backend services into iOS applications. Embed AI …/ML features (NLP, recommendation engines) into mobile workflows. Deliver compliant and secure fintech solutions (GDPR, OAuth, encryption). TECH STACK/REQUIREMENTS Experience managing projects end-to-end (greenfield exp.) Strong expertise in iOS development (Swift/Objective-C, iOS SDK, App Store deployment) Track record delivering secure mobile applications (fintech preferred) Experience integrating AI/ML components into More ❯

retail, and beyond. As a Graduate Business Development Manager , you will sell innovative solutions within SaaS, Cloud, AI, Machine Learning, IT Security, Managed Services, IOT, Project Applications, Unified Communications, NLP, Data, and UcaaS. This is not a transactional sales role, it requires a consultative, entrepreneurial mindset , the ability to understand complex client challenges, and the drive to position advanced technology … university academic track record . Strong analytical and communication skills, with the ability to grasp complex technical concepts quickly. Entrepreneurial mindset with resilience, curiosity, and a results-driven attitude. Natural consultative selling style; ability to influence at senior levels. Commercial awareness and eagerness to develop a career in global technology sales. More ❯

retail, and beyond. As a Graduate Business Development Manager , you will sell innovative solutions within SaaS, Cloud, AI, Machine Learning, IT Security, Managed Services, IOT, Project Applications, Unified Communications, NLP, Data, and UcaaS. This is not a transactional sales role, it requires a consultative, entrepreneurial mindset , the ability to understand complex client challenges, and the drive to position advanced technology … university academic track record . Strong analytical and communication skills, with the ability to grasp complex technical concepts quickly. Entrepreneurial mindset with resilience, curiosity, and a results-driven attitude. Natural consultative selling style; ability to influence at senior levels. Commercial awareness and eagerness to develop a career in global technology sales. More ❯

New Role: Data Science Engineer (NLP Focus) 💰 Salary: up to £75,000 🏠 Hybrid/Remote: Flexible, with regular London meetings 📍 Location: UK-based (preferably London) We're looking for a Data Science Engineer to join a fast-moving team working on LLM pipelines and data at scale. This is a great opportunity for someone passionate about impactful data work and … modern AI tools. What We're Looking For: ✅Few years experience in data science or engineering ✅ Strong Python skills and extensive experience with LLMs/NLP ✅ Experience building scalable data pipelines If you're a hands-on data scientist/engineer looking for your next step, we’d love to hear from you. 📩 Interested? Apply now More ❯