326 to 350 of 847 LLM Jobs in England

related fields. Experience working with high-growth startups, including founder engagement and cross-functional partnership execution. Strong understanding of the modern AI stack, including LLM-powered applications, retrieval-augmented generation, agents, model serving, and data infrastructure. Ability to translate technical platform capabilities into clear business value for founders, builders ...

strong preference for CSSLP (Certified Secure Software Lifecycle Professional), CISM, CISSP or equivalent senior credentialsDemonstrated experience or strong familiarity with AI optimization, agentic workflows, LLM integration or automated software/security pipelinesDeep understanding of software development lifecycles, AppSec vulnerabilities, risk evaluation and quantification, executive stakeholder managementExceptional capability in governing cross ...

CPRA, EU AI Act, DPIAs, and the regulatory obligations facing financial institutions) and how they translate into product requirements. Working knowledge of AI/LLM-based products and how content flows through AI systems. The ability to work across Risk, Security, Legal, Compliance, Responsible AI, Engineering and partner product teams ...

economic projects. Key job responsibilities* Build and extend the Factory of Economics: automate and accelerate data pipelines, platforms, and tools, including ML and LLM capabilities, to scale innovative science products.* Collaborate with economists to shape technical project requirements and direction.* Be a technical leader that is not afraid to challenge ...

BarWinning TogetherDelivering with SpeedWe are an AI-first companyWe don't just build software. We build intelligent systems. From AI-assisted development workflows to LLM-powered product features, we expect every engineer to embrace and actively shape how AI changes what we ship and how we ship it. ...

senior leadership, architecture, and product forumsAI-Driven Tooling & AutomationDirectly manage a team of engineers building and maintaining bespoke automation tooling, leveraging AI and LLM capabilitiesOwn the test data management strategy — including AI-assisted synthetic data generation and environment data integrityEvaluate and select off-the-shelf AI testing tools; define governance ...

omics, and real-world patient data (health records, registries, claims), ideally inside secure or trusted research environments. Strong engineering skills: you can take an LLM-powered tool from prototype to production code, and write evals to measure it. Experience working directly with external partners or customers in a technical role. ...

modern engineering , and we're looking for an experienced Agentic AI Engineer to join a highly capable technology function. This isn't simply an LLM integration role click apply for full job details ...

translate them into effective prompts and AI requirements Experience testing and refining prompts to improve accuracy, consistency and quality A good understanding of LLM behaviour, guardrails and hallucination management Mortgage, lending or financial services experience would be a strong advantage. Reasonable Adjustments: Respect and equality are core values to us. ...

discovery and vulnerability disclosure. Exploit development. Mobile security. System architecture. Software development. Source code review. Hardware hacking. Wireless technology. Reverse Engineering. Penetration testing. AI LLM/GenAI Security assessments (Security for AI).AI in the discovery/validation of 0-days (AI for Security).Being open to different points ...

experience in software development life-cycle and stakeholder management. 2 years of experience developing or launching products or technologies within GenAI, AI/ML, LLM's. Preferred qualifications: Bachelor's degree in Computer Science, AI-related technical field, or equivalent practical experience. 5 years of experience managing cross-functional ...

maintain services for standalone and research networks. Design and implement centralised authentication solutions. Support self-hosted and emerging technology platforms, including AI/LLM infrastructure. Business Continuity & Improvement Own backup, disaster recovery, and business continuity processes. Regularly test recovery procedures and backup integrity. Deliver infrastructure improvement projects that enhance operational ...

tools and processes. He/she is expected to manage a virtual team comprising; CS&S leaders, CS&S team members, AI engineers and LLM specialists as well as other Fortinet stakeholders to ensure the end solution drives more efficiency within the organization. Additionally, he/she is expected ...

pipeline in any technology context — the discipline of parse, validate, load, and verify transfers directly to Cortex ingestion work. Hands-on use of an LLM API (any provider) in a project or personal context: prompt construction, response parsing, and understanding of why grounding and citation matter for enterprise use. Exposure ...

harnesses such as LangGraph to design multi-step workflows, tool use and human-in-the-loop controlsMake evaluation a first-class engineering discipline for LLM and agent work. That means curated eval sets, LLM-as-judge and human review, tracing, regression testing of prompts and agents, and online monitoring … infrastructure on a major cloud platform, ideally AWS, covering distributed data processing, orchestration, model management and infrastructure as codeHands-on experience shipping agentic or LLM-based systems, including agent orchestration frameworks, tool use, RAG, and fine-tuning where it earns its placeA disciplined approach to evaluating LLM and agent systems ...

grade AI solutions that automate the extraction, validation and interpretation of regulatory and compliance information from large document sets. You'll work on modern LLM, RAG and Agentic AI architectures , helping deliver a solution that operates effectively within a highly regulated environment. What You'll Be Doing Designing and building … search solutions using Amazon OpenSearch Working closely with business, compliance and technical stakeholders throughout delivery Essential Skills & Experience Proven experience delivering production GenAI/LLM applications , not just PoCs or prototypes Strong expertise in RAG architecture design and implementation Experience extracting data from complex regulatory, legal or compliance documents Hands ...

Chief Security Office from rule-based to AI-driven operation. It owns AI architecture and AI engineering end to end: the agent layer, LLM orchestration, the AI and ML platform, and the data fabric pipeline that CAS designs, builds and tests before a managed service vendor operates it. The team … handover certificate for each agent and pipeline they take on. Build AI-powered security capability including GenAI alert triage, automated threat investigation and LLM-assisted analysis, and prove it works before it is trusted. Hold the four workstream leads to a single release train, and arbitrate when agent and platform ...

roadmaps aligned to business objectivesCreate governance frameworks to ensure AI solutions meet regulatory and ethical requirements (e.g., GDPR, FDA, EMA)Prototype Generative AI and LLM-based applications to support literature mining, safety monitoring and patient programsCollaborate with data engineers, clinicians and business teams to tailor solutions to client needsDeploy … projects, ideally in consulting or enterprise settingsPractical experience delivering production-grade AI and machine learning solutions in regulated environmentsHands-on knowledge of Generative AI, LLM application and their relevance to life sciences use casesExpertise in structured and unstructured life sciences data, including clinical and real-world datasetsFamiliarity with machine learning ...

further information, please visit: RWS Job Overview Key Responsibilities System ownership Own the AI estate end-to-end, across vision models, ML pipelines, LLM services, and AI agents. You are accountable for how it's designed, how it performs in production, and how it evolves. Set and maintain the technical … reusable examples so new joiners are productive quickly. Hands-on design and delivery Design and build AI solutions yourself, including computer-vision models, LLM-powered features, retrieval-augmented generation and agentic workflows, and lead the team's most technically demanding work. Own our approach to evaluating AI and vision systems ...

specific operational pain points. AI Solution Development: Drive the end-to-end execution of business-critical Proof-of-Value (PoV) projects. Deliver secure, scalable LLM/agent systems with RAG, tools, and guardrails; integrating with enterprise data, identity, and compliance frameworks. Value Selling & Realization: Maintain active technical and advisory involvement …/AI libraries (PyTorch, TensorFlow, scikit-learn, XGBoost, Hugging Face Transformers).Agentic AI Systems: Hands-on experience with agentic AI setups including LLM orchestration, tool use/function calling, RAG, agents, prompt engineering, or agentic patterns for enterprise workflows. Production ML/LLMOps: Experience with model deployment, monitoring, MLOps/ ...

live finance processes, including reconciliations, journals, exception handling, disputes, collections and variance explanation, with clear acceptance criteria, human oversight and controlled failure behaviour. Implement LLM application patterns including tool and function calling, structured outputs, RAG or graph-based retrieval, context and memory management, multi-agent orchestration, and prompt or configuration … TypeScript or equivalent, version control, testing, CI, and maintainable code, together with SQL, API design, code review and secure coding practices. Hands-on LLM application development, covering tool use, structured outputs, retrieval and agent frameworks, including embeddings, vector or graph retrieval, prompt and configuration management, and integration with enterprise data ...

live finance processes, including reconciliations, journals, exception handling, disputes, collections and variance explanation, with clear acceptance criteria, human oversight and controlled failure behaviour. Implement LLM application patterns including tool and function calling, structured outputs, RAG or graph-based retrieval, context and memory management, multi-agent orchestration, and prompt or configuration … TypeScript or equivalent, version control, testing, CI, and maintainable code, together with SQL, API design, code review and secure coding practices. Hands-on LLM application development, covering tool use, structured outputs, retrieval and agent frameworks, including embeddings, vector or graph retrieval, prompt and configuration management, and integration with enterprise data ...

Location: London; UKWork type: HybridSeniority: LeadPrimary skill: JavaScript (Fullstack)Posted: 2026-10-23We are looking for a Lead Full Stack Developer to join our team in London and help deliver scalable, secure and cloud ...

The Opportunity We are working with a leading Private Bank that is looking to appoint a Lead AI Engineer to play a pivotal role in accelerating the adoption of AI across the organisation. This is ...

HIRING: SITE RELIABILITY ENGINEERS (SRE) – DV CLEARED £90,000 – £105,000 Basic + Equity (RSUs) London | Hybrid Working | 3 Positions Available ACTIVE UK DEVELOPED VETTING (DV) SECURITY CLEARANCE ESSENTIAL I'm working with a leading ...