1 to 25 of 60 LLM Jobs in the East of England

deploying machine learning solutions in production environments. Strong track record of successfully translating academic research into real-world applications and products. Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery Deep experience in Python and PyTorch More ❯

is a hands-on, impactful role within a newly formed GenAI team, with plenty of opportunity to influence tooling, architecture, and strategy. Key Responsibilities: Design and deliver NLP and LLM-based algorithms tailored to internal user needs Apply RAG methods to provide accurate, context-rich AI responses using internal data Work with stakeholders across engineering, manufacturing, and systems teams to More ❯

is a hands-on, impactful role within a newly formed GenAI team, with plenty of opportunity to influence tooling, architecture, and strategy. Key Responsibilities: Design and deliver NLP and LLM-based algorithms tailored to internal user needs Apply RAG methods to provide accurate, context-rich AI responses using internal data Work with stakeholders across engineering, manufacturing, and systems teams to More ❯

Location(s): UK, Europe & Africa : UK : Great Baddow BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states More ❯

MACHINE LEARNING RESEARCH ENGINEER Salary: £48,330 - £62,835 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time (35 hours per week), Permanent Shape the future of AI-powered learning solutions with Cambridge University More ❯

MACHINE LEARNING RESEARCH ENGINEER Salary: £48,330 - £62,835 Location: Cambridge - Triangle/Hybrid (2 days per week in the office) Contract: Full Time (35 hours per week), Permanent Shape the future of AI-powered learning solutions with Cambridge University More ❯

At RemoteStar, we're currently hiring for one of our client based in San Sebastian- Spain Note: This role requires relocation to San Sebastian - Spain, VISA sponsorship will be provided by client. About client : Well-funded and fast-growing deep More ❯

tier international conferences and journals. Role and Responsibilities As a Research Scientist you will: Contribute to research and commercialization efforts for Samsung AI Centre in areas including on-device LLM and VLMs, adaptive inference methods, and mobile ML systems. Conduct cutting-edge research within the existing group's agenda as well as contribute towards shaping it. Collaborate closely with cross More ❯

partners and SME partners as well as to grow technical research areas of interest to you. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will … PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j) Familiarity with one or more query languages (e.g. SQL and Cypher) Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning Why BAE Systems? This is a place where you’ll be able to make a real difference. You’ll be part of an inclusive culture that values diversity More ❯

finish Preferred Experience 3+ years of professional software engineering experience Familiarity with GraphQL, gRPC, REST API design Experience with relational databases such as MySQL or PostgreSQL Exposure to AI, LLM integrations, or symbolic/neural hybrid systems Background in enterprise SaaS delivery or platform engineering Why Join Us? Work at the frontier of AI, logic-based reasoning, and decision automation More ❯

This is a fantastic opportunity to join market-leading UK AI company, Luminance. Named in Tech Nation's prestigious Future Fifty list and the recipient of two Queen's Awards, Luminance is the world's most advanced AI technology which More ❯

Senior Research Scientist – Data Science & Machine Learning Chelmsford (Hybrid – 2 days onsite per week) £60,000 – £75,000 + 10% Bonus Security Clearance: Must be eligible for UK SC Clearance A globally respected research and technology organisation is seeking a More ❯

Principal Engineer - Law Firm 3 days pw in London Lead the design, architecture, and development of innovative technical solutions, with a focus on Microsoft Azure, cloud-native technologies, and microservices architecture.Act as an internal SME across complex business and technology More ❯

Senior Data Scientist ££60,000 £75,000 GBP Bonus Hybrid WORKING Location: Chelmsford, Central London, Greater London - United Kingdom Type: Permanent Senior Research Scientist - Data Science & Machine Learning Chelmsford (Hybrid - 2 days onsite per week) £60,000 - £75,000 + More ❯

Social network you want to login/join with: At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Cadence is a pivotal leader in electronic design, building upon more More ❯

Job ID: Evi Technologies Limited We are looking for a researcher in cutting-edge LLM technologies for applications across Alexa, AWS, and other Amazon businesses. In this role, you will innovate in the fastest-moving fields of current AI research, in particular in how to integrate a broad range of structured and unstructured information into AI systems (e.g. with RAG More ❯

team. This is a rare opportunity to work at the bleeding edge of applied AI with a team of researchers solving problems in NLP, knowledge graphs, graph ML, and LLM applications—all with real-world impact in national security and defence. If you're excited about predictive graph learning, symbolic AI, and leading innovative R&D in close partnership with … technical stakeholders Desirable Skills • Experience with graph ML libraries (e.g. PyTorch-Geometric, PyKeen), Neo4j, or Cypher • Familiarity with knowledge representation, ontology design, or neuro-symbolic AI • Prior delivery of LLM-based research projects or integration into operational systems The Package • Up to £70,000 base salary • 10% company bonus • Enhanced pension scheme – up to 10% matched • 25 days annual leave More ❯

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 EYES ONLY); eligibility for DV/UKIC clearance is a plus Why Apply More ❯

part of the AGI team, the Applied Scientist will collaborate closely with talented colleagues to lead the development of advanced approaches and modeling techniques, driving forward the frontier of LLM technology. This includes innovating model-in-the-loop and human-in-the-loop approaches to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training More ❯

of problems in Arm across hardware and software, and we drive engineering excellence and efficiency through the deployment of AI into existing workflows. Responsibilities: Build AI applications that integrate LLM capabilities into engineering workflows, from interactive agents to intelligent automation tools. Architect, implement, and maintain scalable LLM systems suitable for large-scale, multi-user environments. Build production ready, high quality … AI/ML products; produce clean code and contribute to internal methodologies for prompt engineering, evaluation, and LLM usage patterns. Tune prompts, pipelines, and infrastructure to ensure robust behaviour, low latency, and cost-efficient inference. Apply software engineering practices to AI codebases, ensuring maintainability, testing, continuous integration and delivery. Collaborate with HW design, SW engineering, and verification teams to understand … forefront of AI productivity engineering. Required Skills and Experience : BS, MS, or PhD or equivalent experience in Computer Science, Machine Learning, Engineering, or a related field. Production experience building LLM-powered applications and integrating them into larger systems. Hands-on expertise tuning and optimising LLM + ML driven applications. Proficiency in Python and common ML/AI libraries; comfortable with More ❯

IP that underpin each solution. This diverse role will largely focus on providing software enablement for our next generation CPU and ML accelerator based technologies on target LLM (Large Language Model) use-cases. Typical activities would include application and system analysis, technology research, hands-on software prototyping to understand how software and hardware behaves, experimental investigations, and performance analysis. You More ❯

As a Machine Learning Engineer in the Applied AI team at Graphcore, you will contribute to advancing AI technology by developing and optimising AI models tailored to our specialised hardware. Working closely with the Software development and Research teams, you More ❯

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. Engage with academic and More ❯

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. Engage with academic and More ❯

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. Engage with academic and More ❯