251 to 275 of 402 LLM Jobs in London

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ...

scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine learning and LLM workloads are trained, packaged, deployed, and served, this is not a "deploy models all day" role. Instead, your impact will come from creating the infrastructure … rather than treating it as a finished product Provideplatform-level support for: Model development and experimentation Model packaging, deployment, and promotion Scalable inference and LLM-based workloads Build shared platform services that enable consistent, repeatable model deployment, even where day-to-day deployment is owned by MLOps or ML engineers ...

scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine learning and LLM workloads are trained, packaged, deployed, and served, this is not a "deploy models all day" role . Instead, your impact will come from creating … rather than treating it as a finished product Provideplatform-level support for: Model development and experimentation Model packaging, deployment, and promotion Scalable inference and LLM-based workloads Build shared platform services that enable consistent, repeatable model deployment , even where day-to-day deployment is owned by MLOps or ML engineers ...

Eval Platform: Operate a firm-wide service to measure success rates, uncertainty, hallucination, and bias across all non-deterministic systems. Secure Architecture: Map OWASP LLM Top 10 and agentic threats to technical controls; manage AWS Bedrock Guardrails and Knowledge Bases. AI Supply Chain: Own the AI-BOM , ensuring supply chain … Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP LLM Top 10, and UK/EU financial regulations (FCA/DORA). Testing Automation: Proven ability to build measurement frameworks for drift, memorization, and adversarial ...

Eval Platform: Operate a firm-wide service to measure success rates, uncertainty, hallucination, and bias across all non-deterministic systems. Secure Architecture: Map OWASP LLM Top 10 and agentic threats to technical controls; manage AWS Bedrock Guardrails and Knowledge Bases. AI Supply Chain: Own the AI-BOM, ensuring supply chain … Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP LLM Top 10, and UK/EU financial regulations (FCA/DORA). Testing Automation: Proven ability to build measurement frameworks for drift, memorization, and adversarial ...

Eval Platform: Operate a firm-wide service to measure success rates, uncertainty, hallucination, and bias across all non-deterministic systems. Secure Architecture: Map OWASP LLM Top 10 and agentic threats to technical controls; manage AWS Bedrock Guardrails and Knowledge Bases. AI Supply Chain: Own the AI-BOM , ensuring supply chain … Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP LLM Top 10, and UK/EU financial regulations (FCA/DORA). Testing Automation: Proven ability to build measurement frameworks for drift, memorization, and adversarial ...

Eval Platform: Operate a firm-wide service to measure success rates, uncertainty, hallucination, and bias across all non-deterministic systems. Secure Architecture: Map OWASP LLM Top 10 and agentic threats to technical controls; manage AWS Bedrock Guardrails and Knowledge Bases. AI Supply Chain: Own the AI-BOM , ensuring supply chain … Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP LLM Top 10, and UK/EU financial regulations (FCA/DORA). Testing Automation: Proven ability to build measurement frameworks for drift, memorization, and adversarial ...

Eval Platform: Operate a firm-wide service to measure success rates, uncertainty, hallucination, and bias across all non-deterministic systems. Secure Architecture: Map OWASP LLM Top 10 and agentic threats to technical controls; manage AWS Bedrock Guardrails and Knowledge Bases. AI Supply Chain: Own the AI-BOM , ensuring supply chain … Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP LLM Top 10, and UK/EU financial regulations (FCA/DORA). Testing Automation: Proven ability to build measurement frameworks for drift, memorization, and adversarial ...

AI Consultant London, 3 days in the office| Salary between £80,000 and £90,000 This is a high-impact opportunity to join a newly established AI lab within a large, data-rich organisation, where ...

Location: London (Hybrid - 3 days per week in office) Contract Duration: 6 months (strong likelihood of extension) Clearance Required: SC Clearance Inside IR35 - up to £725 p/d (Umbrella) We are seeking an experienced ...

that power AI features used in production. You’ll work closely with product and design to take ideas from concept to live features, integrating LLM capabilities into practical use cases. The role is around 80 percent coding and 20 percent leadership. Alongside building systems, you’ll mentor engineers, contribute … team grows. You’ll be responsible for: Designing and building scalable backend services using Python Developing APIs that support core product functionality Integrating LLM and AI-driven features into workflows Improving system performance, reliability, and maintainability Collaborating cross-functionally to deliver features end to end Key requirements ...

taken people from £80k to £180k inside a year where the slope has justified it. Polyglot engineers wanted. Go, TypeScript or Python. Deep LLM and RAG integration in user-facing features. Direct line to a founder-led commercial engine reinventing financial infrastructure. About the roles They're hiring top engineers … reach staff inside three months. Background in a startups or scale-ups Comfort working from customer pain points rather than tickets. Hands-on LLM or AI integration experience in user-facing features. Genuinely keen to work five days onsite in London. Role-specific: MTS: stronger back-end or platform foundations ...

ABOUT BEAMERY We are a leading transformational AI platform in the HR technology industry, enabling enterprise companies to create better and fairer talent decisions – by accelerating their recruiting processes, unlocking successful internal mobility opportunities, enabling ...

Role overview The Principal Data Scientist will lead significant data science work across AWTG and client programmes, shaping technical direction, standards and delivery approaches. The role requires deep expertise in data science, strong leadership and ...

Job Description Role: Business Data AnalystLocation: London, UK Role Type: Contract Duration: 6 Months The Opportunity Are you a Senior Data Analyst who is tired of just "maintaining" dashboards? Our client is looking for a ...

Location: London, UK Role Type: Contract Duration: 6 Months Pay Rate: 250 to 270 GBP/Day via Umbrella(Inside IR 35) The Opportunity Are you a Senior Data Analyst who is tired of just ...

Location: London, UK Role Type: Contract Duration: 6 Months Pay Rate: 250 to 270 GBP/Day via Umbrella(Inside IR 35) The Opportunity Are you a Senior Data Analyst who is tired of just ...

I'm hiring multiple senior hires to join a growing AI and Digital Transformation consulting practice within a premium consultancy. This team has recently secured significant investment and is scaling quickly, with multiple hires across ...

AI Solution Architect (AIPX & Balance Sheet Management) Role Overview As an AI Solution Architect , you will be the technical visionary leading cross-functional engineering teams to design and build data-intensive platforms and AI-powered ...

Role Outline Engineered Arts is looking for a Senior QA Engineer to join the software team. You’ll be challenged with developing and supporting our deployment and testing processes for all the robots. The focus ...

This job is with MSCI, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Your Team Responsibilities: Join MSCI's ...

consulting partner on the search for a Lead AI Tester/QA Lead to define and own the testing strategy for several AI/LLM use cases at a major financial services client. This role is primarily about strategy, governance and delegation, with some scope to remain hands‐on. … tests and environments fit into CI/CD pipelines and wider SDLC activities. Should have: Practical exposure to testing AI/ML/LLM‐based systems (e.g. chatbots, RAG applications, AI‐assisted workflows) and an interest in deepening this. Familiarity with approaches to evaluating LLM outputs (for example, semantic‐similarity ...

scalability, and cost-efficiency. Building Agentic Systems: Developing intelligent AI agents that can reason, plan, and execute tasks autonomously using LLMs and other tools. LLM application Development: LLM fine-tuning adapting pretrained LLMs for specific tasks using techniques like parameterefficient fine-tuning (PEFT) (e.g., LoRA, QLoRA). Implementing Retrieval-Augmented ...

performance, scalability, andcost-efficiency. Building Agentic Systems: Developing intelligent AI agents that can reason, plan, and execute tasksautonomously using LLMs and other tools. LLM application Development: LLM fine-tuning adapting pretrained LLMs for specific tasks using techniques likeparameterefficient fine-tuning (PEFT) (e.g., LoRA, QLoRA). Implementing Retrieval-Augmented Generationpipelines ...

judgement, and delivery, building the tooling, workflows, and operational foundations that allow data scientists and ML engineers to experiment, deploy, and run ML and LLM-based workloads safely and at scale. The focus is not simply on running Kubernetes clusters - it's on layering real MLOps capability … full model lifecycle Implement andrunMLOps tooling that enables teams to: Experiment with models and notebooks Package, version, and deploy models Run scalable inference and LLM-based workloads Build and operate model serving and inference platforms within Kubernetes environments Work closely with data scientists and ML engineers to ensure the platform ...