16 of 16 Natural Language Processing Jobs in Chelmsford

seeking a Lead Research Scientist to join its Knowledge & Semantics team . This is an exciting opportunity to guide cutting-edge research in natural language processing (NLP) , knowledge graphs , large language models (LLMs) , and graph machine learning , contributing to projects across defence, security, and commercial domains. You'll work in multi-disciplinary AI teams , collaborating with … internal stakeholders, academic partners, and SMEs, delivering real-world applications of advanced ML techniques and semantic technologies. Key Responsibilities: Lead and shape innovative research in NLP, LLMs, and graph-based machine learning. Oversee the technical delivery of R&D projects, from concept through to prototypes and demonstrators. Prepare technical documentation, funding proposals, and stakeholder presentations. Collaborate with academic institutions and … Python development skills, with experience using ML frameworks like TensorFlow or PyTorch. Expertise in at least one of the following areas: Graph Machine Learning (predictive, causal, or neuro-symbolic) NLP (text mining, entity linking, information extraction) Applications of LLMs in real-world or defence-related contexts Graph-structured data and graph algorithms Designing and utilising relational or graph databases Desirable More ❯

security, space, and commercial domains. This role offers a blend of technical leadership, research direction, and hands-on assurance responsibilities, with opportunities to shape innovation in areas such as NLP, reinforcement learning, computer vision, graph neural networks, and sensor-based AI systems. Key Responsibilities: Lead the technical delivery of complex AI/ML projects, overseeing the preparation and review of … or academic institutions). Deep expertise in at least one of the following, with working knowledge across multiple areas: AI/ML for imagery (including remote sensing) Reinforcement learning Natural Language Processing and Large Language Models Knowledge graphs and graph-based neural networks AI/ML applied to RF, EW, radar, sonar, or acoustic signal processing More ❯

/week) Grade & Salary : circa £70,000 + 10% bonus Hours: 37 per week Role Overview We are seeking a Research Scientist to lead applied R&D in semantics, natural language processing, and knowledge graph technologies. This role sits within a cutting-edge AI team supporting national security, defence, and commercial clients. You will design and prototype … systems, contribute to proposal development, and lead small technical teams in delivering impactful innovation. Key Requirements PhD with a minimum of 4 years' postdoctoral or commercial experience Expertise in NLP, LLMs, graph machine learning, or semantic reasoning Proficient in Python and familiar with frameworks such as TensorFlow or PyTorch Experience leading technical teams and securing external R&D funding Benefits More ❯

such as multi-modal fusion, geospatial intelligence, and intelligent decision support. About the Opportunity Youll join a 35+ person AI & Machine Learning capability, collaborating across disciplines including computer vision, NLP, knowledge representation, and reinforcement learning. This hands-on role focuses on applied research and technical deliveryspanning early-stage concept exploration to proof-of-concept demonstrators for government R&D sponsors. More ❯

as multi-modal fusion, geospatial intelligence, and intelligent decision support. About the Opportunity You'll join a 35+ person AI & Machine Learning capability, collaborating across disciplines including computer vision, NLP, knowledge representation, and reinforcement learning. This hands-on role focuses on applied research and technical delivery-spanning early-stage concept exploration to proof-of-concept demonstrators for government R&D More ❯

Scientist to join its advanced data and decision science capability. This is a rare opportunity to work at the intersection of cutting-edge AI, machine learning, and statistical signal processing-delivering real impact across domains including national defence, space, and critical infrastructure. As part of a multi-disciplinary innovation team, you'll contribute to the design of next-generation … ll be doing: Leading AI/ML research projects from concept to prototype Developing algorithms for sequential data and decision support Collaborating across teams with specialisms in radar, sonar, NLP, CV, autonomy, LLMs, and more Mentoring junior staff and publishing/patenting innovative research Working directly with customers across defence, space, and security sectors What we're looking for: PhD … or equivalent experience) in a relevant discipline Deep knowledge of machine learning and statistical signal processing Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, and scikit-learn Experience working with time-series, sensor, or RF data Track record of delivering innovative solutions in complex technical domains Please note: Due to the nature of the work, candidates must More ❯

and drive collaborative research with academia and external partners. This role offers a unique blend of hands-on AI development and strategic technical influence across programmes in radar, sonar, NLP, computer vision, and large language models. What you'll be doing: Leading delivery of high-impact AI/ML research and development projects Providing engineering assurance across bids, publications … and technical deliverables Mentoring and developing junior scientists and engineers Identifying and guiding novel research directions in reinforcement learning, NLP, RF, autonomy, and more Working closely with customers and stakeholders across defence, security, and commercial sectors What we're looking for: PhD (or equivalent experience) in a relevant AI/ML discipline 10+ years of experience in AI/ML … technical assurance across large R&D projects Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, scikit-learn Expertise in one or more of: computer vision, reinforcement learning, NLP/LLMs, knowledge graphs, RF/EO sensor data, autonomy Please note: Due to the nature of the work, candidates must be eligible for UK Security Clearance, which typically requires More ❯

bonus | SC Clearable A specialist technology consultancy is seeking a Research Scientist - Knowledge & Semantics to lead a small team of experts exploring cutting-edge AI solutions across knowledge representation, NLP, LLMs, and graph-based machine learning. The organisation plays a pivotal role in delivering advanced research for secure government and national security clients, often operating at the intersection of AI … a 4-person Knowledge & Semantics research group within a wider AI & Machine Learning capability (35+ scientists and engineers) that works across domains such as reinforcement learning, computer vision, signal processing, geospatial data, and applied machine intelligence. This is a hands-on research leadership role where you'll guide technical direction, shape R&D proposals, and deliver demonstrators and publications. … R&D environments) Advanced skills in Python and ML frameworks (TensorFlow, PyTorch) Deep experience in one or more of the following: Knowledge graphs & graph ML (e.g. PyTorch-Geometric, Neo4j) NLP and information extraction (transformer-based models desirable) Semantic reasoning, ontology development, or LLM-based applications Experience with Cypher, SQL, or similar query languages is desirable Eligible for SC clearance (UK More ❯

, sensor data fusion, RF and acoustic analytics, and more Publish findings (where appropriate) and help shape the direction of next-generation AI systems Collaborate with expert colleagues across NLP, CV, LLMs, knowledge graphs, and agent-based AI What We're Looking For A PhD (or equivalent industry experience) in a relevant discipline Strong background in AI/ML and …/or statistical signal processing applied to time-series or sequential data Proficiency in Python with experience using TensorFlow, PyTorch, scikit-learn, or similar ML frameworks Experience leading R&D projects and mentoring early-career researchers Ability to work independently or within collaborative team Reference: AMC/DRI/RS2 Postcode: CM1 1AG #dari More ❯

of the most complex data science problems across defence, security, and commercial sectors. You'll be part of a collaborative, cross-disciplinary environment, working alongside experts in reinforcement learning, NLP, knowledge graphs, and AI for RF and EW. As an AI Knowledge & Semantics Researcher, you'll have the freedom to innovate, lead projects, and develop cutting-edge solutions applying large … fit for someone with a passion for applied AI, who thrives in an environment that blends technical depth with real-world impact. Role Requirements: Lead research and development in NLP, knowledge graphs, and LLM-based applications. Guide a team of researchers to deliver high-impact projects across government and commercial sectors. Develop prototypes, proof-of-concept models, and technical reports. … experience in AI/ML research. Proven success leading R&D teams and securing funding. Strong Python programming skills and experience with ML frameworks (TensorFlow, PyTorch). Expertise in NLP, knowledge graphs, and/or graph machine learning. Desirable: experience with tools like PyTorch-Geometric, Neo4j, SQL/Cypher, or semantic reasoning. Role: AI Knowledge & Semantics Researcher Salary More ❯

leading-edge AI and data science capability. This is a unique opportunity to shape the future of knowledge-driven AI, working at the intersection of knowledge graphs, machine learning, NLP, and semantic reasoning-supporting missions across defence, security, and advanced technologies. Working within a multi-disciplinary research team, you'll lead the development of innovative solutions using graph machine learning … universities and SME partners, contribute to internal IP, and drive research that translates into operational capability. What you'll be doing: Leading technical delivery of applied AI projects in NLP, semantics, and knowledge representation Developing prototypes and proof-of-concept tools using Python and ML frameworks Securing research funding and writing technical proposals Mentoring junior researchers and providing technical leadership … years of postdoctoral or industry experience leading research teams Strong programming skills in Python and experience with frameworks like PyTorch or TensorFlow Deep expertise in one or more of: NLP, LLMs, graph machine learning, semantic AI, or knowledge graphs Proven track record of winning and delivering R&D projects Please note: Due to the nature of the work, candidates must More ❯

a Lead AI & Machine Learning Technologist to join their expanding Data and Decision Support capability. This role offers the opportunity to lead complex AI research projects spanning reinforcement learning, NLP and large language models, knowledge graphs, and AI applications in radar, sonar, and remote sensing. About the Opportunity The successful candidate will work within a 35-strong AI/… more Experienced in engineering assurance activities Strong track record in proposal writing for government and public sector funding bodies Expertise in one or more domains such as reinforcement learning, NLP/LLMs, knowledge graphs, AI for RF/EW, sonar, radar, or autonomy Evidence of published research is highly advantageous Why Apply? This is an exceptional chance to lead advanced More ❯

a Lead AI & Machine Learning Technologist to join their expanding Data and Decision Support capability. This role offers the opportunity to lead complex AI research projects spanning reinforcement learning, NLP and large language models, knowledge graphs, and AI applications in radar, sonar, and remote sensing. About the Opportunity The successful candidate will work within a 35-strong AI/… more Experienced in engineering assurance activities Strong track record in proposal writing for government and public sector funding bodies Expertise in one or more domains such as reinforcement learning, NLP/LLMs, knowledge graphs, AI for RF/EW, sonar, radar, or autonomy Evidence of published research is highly advantageous Why Apply? This is an exceptional chance to lead advanced More ❯

AI/ML professional who can provide technical leadership across a portfolio of advanced R&D programmes. You will guide both internal delivery and external engagement in domains including NLP, LLMs, computer vision, reinforcement learning, and AI for sensor applications. The role blends hands-on innovation with assurance, mentoring, and proposal direction. Key Requirements: PhD in a relevant field with … leadership of AI teams and successful project delivery Expertise in technical assurance, proposal writing (e.g., Dstl, EPSRC), and mentoring Deep domain experience in one or more of: RF, autonomy, NLP, graph ML Benefits: Up to £85,000 base salary plus 10% bonus Strategic leadership role with visibility across national-level programmes Flexible hybrid working model and support for occasional travel More ❯

AI/ML professional who can provide technical leadership across a portfolio of advanced R&D programmes. You will guide both internal delivery and external engagement in domains including NLP, LLMs, computer vision, reinforcement learning, and AI for sensor applications. The role blends hands-on innovation with assurance, mentoring, and proposal direction. Key Requirements: PhD in a relevant field with … leadership of AI teams and successful project delivery Expertise in technical assurance, proposal writing (e.g., Dstl, EPSRC), and mentoring Deep domain experience in one or more of: RF, autonomy, NLP, graph ML Benefits: Up to £85,000 base salary plus 10% bonus Strategic leadership role with visibility across national-level programmes Flexible hybrid working model and support for occasional travel More ❯

of data and decision intelligence. Working as part of a highly collaborative and cross-functional team, you'll engage in advanced research across areas focusing on reinforcement learning and NLP/LLMs, - helping deliver real-world solutions for some of the most complex challenges out there. As an AI Lead Technologist, you'll be encouraged to take the lead on … relevant field with around 10+ years of experience in AI/ML (ideally in the defence or security domain). Deep knowledge in one or more areas such as NLP, reinforcement learning, with broad awareness of other AI disciplines. Strong mathematical, statistical, and computational background underpinning AI/ML work. Demonstrated ability to provide engineering assurance and review of technical More ❯