22 of 22 Natural Language Processing Jobs in the Thames Valley

We're Hiring: Lead Expert - NLP & Machine Learning for Investment Metrics 📍 Location: Nice (France) or London (UK) 🏢 Company: Scientific Beta 🔬 About Us A subsidiary of SGX Group, Scientific Beta is a leading provider of enhanced systematic equity strategies grounded in rigorous research. Its evidence-based indices integrating sustainability and financial goals enable global investors to make well-informed portfolio decisions … a key role in developing new index methodologies. 🧠 About the Role Scientific Beta is seeking a highly experienced and innovative Lead Expert in Natural Language Processing (NLP) and Machine Learning (ML) to spearhead the development of next-generation sustainability and financial metrics. This is a unique opportunity to leverage cutting-edge language models and insights at … instrumental in driving the research, development, validation and product implementation of novel metrics by extracting valuable information from textual data. 📌 Key Responsibilities Lead the conceptualization, design, and implementation of NLP and ML models for extracting insights related to sustainability and financial performance from diverse textual sources. Develop and apply state-of-the-art language models to extract relevant information More ❯

you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud More ❯

you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud More ❯

authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries More ❯

years of professional experience in Python programming language. Solid understanding of machine learning algorithms, tools, and techniques, such as supervised. and unsupervised learning, transformer models, deep learning, computer vision, natural language processing, etc. Experience with common ML libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn. Ability to work independently and collaboratively with multi-functional teams … ML tools such as Mlflow for model lifecycle management. Experience in building ML models in production using AWS ecosystem, especially ML related services such as SageMaker. Familiarity with large language models (LLM). Proficiency in multiple programming languages. Understanding of containerization technologies like Docker and orchestration tools like Airflow. We've got your back... We offer a range of More ❯

team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis. Key Responsibilities: Design and implement deep learning models using frameworks such as PyTorch or TensorFlow. Collaborate with data scientists, ML engineers More ❯

Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular data analysis, or computer vision. SQL proficiency. Exposure to containerisation (Docker, Kubernetes) and cloud-native architectures. Experience with CI/CD, automated testing, and More ❯

regulatory intelligence. We give organisations the business information and analytics they need to make better, more impactful decisions. We are building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making. More ❯

Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer vision, or deep learning a plus. Data visualisation: Proficiency in Tableau, Power BI, or similar. Problem-solving mindset: Ability to translate complex technical problems into business solutions. 🌟 It’s More ❯

technical expertise with strategic client engagement. As a Senior/Principal 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 ❯

frameworks Preferred Qualifications Experience with multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph databases and query languages Experience with deep learning frameworks Background in NLP, computer vision, or reinforcement learning Domain expertise across industries but familiar with Financial Services, Healthcare and Lifesciences, Industrials and Telecommunications and infrastructure would be a plus More ❯

BFCL. Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Research or prototyping experience in machine learning, deep learning, and/or natural language processing. Programming experience in Python and hands-on experience with AI agent frameworks such as Model Context Protocol. LangChain. Exposure to architectural patterns of large scale software More ❯

have product management experience, with a proven track record of launching and managing Martech products . You possess deep, hands-on expertise with AI technologies (e.g., ML, predictive analytics, NLP) and a strong understanding of how they apply to marketing use cases. You have strong product management fundamentals —you're an expert in roadmap development, prioritization frameworks, and end-to More ❯

Graduate IT Engineer, Bershire, 35-38k SaaS, Cloud, AI, Machine Learning, IOT, NLP, Data, Telecoms, Technology As a Graduate IT Engineer, you will Deliver exceptional technical support from first contact through to resolution. Work with customer-facing tech teams to help configure and provision cloud-based communication services. Gain hands-on experience in a real-world, fast-moving technical More ❯

Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Bioinformatics expertise, familiarity with large scale bioinformatics datasets. Experience using Nextflow pipelines. Knowledge of NLP techniques and experience of processing unstructured data, using vector stores, and approximate retrieval. Familiarity with orchestration tooling (e.g. Airflow or Google Workflows). Experience with AI/ML powered 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯