{ "status": "success", "totalCompanies": 5, "companies": [ { "companyId": "palantir", "companyName": "Palantir Technologies", "logoIcon": "🛡️", "brandColor": "#ffffff", "careerPortalUrl": "https://www.palantir.com/careers/", "jobBoardApi": "https://boards-api.greenhouse.io/v1/boards/palantir/jobs", "specialty": "Pioneer of Forward Deployed Software Engineering (FDSE) & AIP", "roles": [ { "id": "palantir-fdse-lead", "slug": "palantir-forward-deployed-software-engineer", "title": "Forward Deployed Software Engineer (FDSE) - AIP & LLMs", "company": "Palantir Technologies", "location": "London, UK / Hybrid", "salary": "£135,000 - £185,000 + Equity & Bonus", "source": "Palantir Careers (Greenhouse)", "sourceUrl": "https://www.palantir.com/careers/", "tags": [ "FDSE", "Palantir AIP", "Foundry", "LLM Agents", "TypeScript/Python" ], "featured": true, "department": "Forward Deployed Engineering", "description": "As a Forward Deployed Software Engineer at Palantir, you will deploy Palantir Artificial Intelligence Platform (AIP) directly inside defense, government, and FTSE-100 customer environments. You'll build operational LLM agents and real-time ontological workflows that turn sensitive data into decisions.", "responsibilities": [ "Embed on-site and hybrid with customer leadership to deploy high-leverage AI workflows on Palantir AIP.", "Build secure ontological representations connecting disparate enterprise databases with foundation models.", "Deliver robust human-in-the-loop agentic automations in mission-critical environments." ], "requirements": [ "BSc/MSc in Computer Science or equivalent hands-on engineering track record.", "Strong programming proficiency in TypeScript/React, Python, or Java/Go.", "Deep interest in customer problems and rapid prototyping of applied AI systems." ], "benefits": [ "Top-tier Palantir equity package", "Comprehensive health/dental cover", "Central London office with catered meals" ] }, { "id": "palantir-deployment-strategist", "slug": "palantir-ai-deployment-strategist", "title": "AI Deployment Strategist - Enterprise LLMs", "company": "Palantir Technologies", "location": "London, UK", "salary": "£120,000 - £160,000 + Equity", "source": "Palantir Careers", "sourceUrl": "https://www.palantir.com/careers/", "tags": [ "AI Strategy", "AIP", "Ontology", "Enterprise GenAI" ], "featured": false, "department": "Deployment Strategy", "description": "Translate complex business operations into dynamic AI ontologies and AIP workflows for global defense, aerospace, and finance institutions.", "responsibilities": [ "Lead technical scoping and architectural discovery sessions with executive stakeholders.", "Partner with FDSEs to design high-throughput LLM pipelines and automated evaluations." ], "requirements": [ "Strong technical literacy with Python or SQL", "Superb stakeholder communication skills" ], "benefits": [ "Full private healthcare", "Generous parental leave", "Annual training budget" ] } ] }, { "companyId": "microsoft", "companyName": "Microsoft", "logoIcon": "🪟", "brandColor": "#00a4ef", "careerPortalUrl": "https://careers.microsoft.com/", "jobBoardApi": "https://gcsservices.careers.microsoft.com/search/api/v1/search?q=AI%20Engineer", "specialty": "Azure OpenAI, Copilot Runtime, Semantic Kernel & Phi Models", "roles": [ { "id": "msft-azure-ai-fde", "slug": "microsoft-applied-ai-engineer-copilot", "title": "Applied AI Engineer - Copilot & Azure AI Studio", "company": "Microsoft", "location": "London (Paddington) / Remote UK", "salary": "£130,000 - £175,000 + Stock (L63-L65)", "source": "Microsoft Careers API", "sourceUrl": "https://careers.microsoft.com/", "tags": [ "Azure AI", "Copilot Runtime", "Semantic Kernel", "Phi-3", "C#/Python" ], "featured": true, "department": "Azure AI Platform", "description": "Build, optimize, and scale Copilot runtime services and Azure AI Studio infrastructure for millions of enterprise developers worldwide.", "responsibilities": [ "Design low-latency orchestration for small language models (Phi series) and large foundation models.", "Implement high-throughput caching and fine-tuning pipelines using Semantic Kernel and ONNX Runtime.", "Collaborate with OpenAI research teams on model alignment and multi-tenant security boundaries." ], "requirements": [ "5+ years software engineering experience with C#, Python, or Go.", "Expertise in distributed systems, vector search, and cloud-native Kubernetes/Azure microservices." ], "benefits": [ "Microsoft stock awards (on-hire + annual refreshers)", "25 days holiday + UK public holidays", "15% pension contribution" ] } ] }, { "companyId": "apple", "companyName": "Apple", "logoIcon": "🍏", "brandColor": "#a2aaad", "careerPortalUrl": "https://jobs.apple.com/", "jobBoardApi": "https://jobs.apple.com/api/v1/search?query=Machine%20Learning", "specialty": "Apple Intelligence, On-Device Neural Engine & Private Cloud Compute", "roles": [ { "id": "apple-intelligence-runtime", "slug": "apple-intelligence-edge-runtime-engineer", "title": "Apple Intelligence Edge Runtime Engineer", "company": "Apple", "location": "London (Battersea Power Station) / Cambridge", "salary": "£140,000 - £190,000 + RSU Grants (ICT4/ICT5)", "source": "Apple Jobs API", "sourceUrl": "https://jobs.apple.com/", "tags": [ "Apple Intelligence", "CoreML", "Metal", "Private Cloud Compute", "C++/Swift" ], "featured": true, "department": "Machine Learning and AI (MLPT)", "description": "Develop the next generation of on-device language models and Private Cloud Compute runtimes powering Apple Intelligence across 1+ billion devices.", "responsibilities": [ "Optimize transformer architectures for Apple Silicon Neural Engine (ANE) and Metal Performance Shaders.", "Design privacy-preserving Private Cloud Compute attestation protocols and sub-10ms token generators.", "Implement memory-efficient 2-bit and 4-bit quantization kernels for low-power on-device execution." ], "requirements": [ "Strong systems programming background in C++, Swift, or Rust.", "Deep knowledge of low-level GPU/NPU acceleration, quantization, and linear algebra libraries." ], "benefits": [ "Generous Apple RSU equity package", "Product discounts", "World-class Battersea campus facilities" ] } ] }, { "companyId": "google", "companyName": "Google & Google DeepMind", "logoIcon": "🌐", "brandColor": "#4285f4", "careerPortalUrl": "https://www.google.com/about/careers/", "jobBoardApi": "https://careers.google.com/api/v3/search/?q=DeepMind%20AI", "specialty": "Google DeepMind, Gemini Models, Vertex AI & JAX TPU Infrastructure", "roles": [ { "id": "google-deepmind-fde", "slug": "google-deepmind-forward-deployed-research-engineer", "title": "Forward Deployed AI Research Engineer - Gemini", "company": "Google DeepMind", "location": "London (King's Cross) / Hybrid", "salary": "£150,000 - £210,000 + Google GSUs (L5/L6)", "source": "Google DeepMind Careers", "sourceUrl": "https://www.google.com/about/careers/", "tags": [ "Google DeepMind", "Gemini 1.5/2.0", "JAX", "TPU v5p", "Multimodal" ], "featured": true, "department": "DeepMind Applied Solutions", "description": "Work side-by-side with frontier model researchers and flagship enterprise partners to deploy multimodal Gemini systems on Cloud TPU clusters.", "responsibilities": [ "Port research breakthrough model checkpoints into scalable production inference pipelines.", "Optimize million-token context window retrieval and video-audio multimodal understanding.", "Benchmark and profile distributed JAX workloads across massive TPU v5p pods." ], "requirements": [ "Expertise in Python, JAX/PyTorch, and distributed machine learning.", "Track record building high-reliability production systems or publishing at top AI venues (NeurIPS, ICML)." ], "benefits": [ "High-value Google GSU equity grant", "Free gourmet meals on-site", "Comprehensive health coverage" ] } ] }, { "companyId": "facebook", "companyName": "Meta (Facebook AI Research)", "logoIcon": "♾️", "brandColor": "#0668e1", "careerPortalUrl": "https://www.metacareers.com/", "jobBoardApi": "https://www.metacareers.com/api/v1/jobs?query=Llama", "specialty": "FAIR, Open-Source Llama Ecosystem, PyTorch & MTIA Accelerators", "roles": [ { "id": "meta-llama-systems-eng", "slug": "meta-generative-ai-systems-engineer", "title": "Generative AI Systems & Infrastructure Engineer (Llama)", "company": "Meta", "location": "London (Kings Cross / Rathbone) / Hybrid", "salary": "£145,000 - £200,000 + Meta RSUs (E5/E6)", "source": "Meta Careers Portal", "sourceUrl": "https://www.metacareers.com/", "tags": [ "Meta FAIR", "Llama 3", "PyTorch 2.x", "CUDA", "Distributed Systems" ], "featured": true, "department": "Generative AI Infrastructure", "description": "Build ultra-scale inference engines and developer tooling powering the open-source Llama foundation model family across global datacenters.", "responsibilities": [ "Optimize FlashAttention, vLLM, and speculative decoding kernels on thousands of GPUs.", "Develop open-source PyTorch libraries and edge runtime adapters for low-latency Llama deployments.", "Lead scalability tests for next-generation 400B+ parameter multimodal architectures." ], "requirements": [ "Strong C++/CUDA/Python skills and experience optimizing deep learning compilers.", "Deep familiarity with distributed training (FSDP, Megatron-LM) and high-throughput inference." ], "benefits": [ "Meta RSU equity with quarterly vesting", "25 days holiday + wellness days", "Full healthcare & dental" ] } ] } ], "timestamp": "2026-08-18T23:26:25.722Z" }