Machine Learning Systems Engineer

Are you passionate about building real, production-grade AI systems-not just prototypes or research models?We're partnering with a fast-growing, well-funded AI-native consultancy that delivers enterprise-scale AI solutions to major organisations across Financial Services, Energy, Healthcare, Retail, and Manufacturing.Working alongside global partners such as Anthropic, Databricks, AWS, OpenAI, and Microsoft, the team focuses on designing and deploying advanced AI systems that solve complex real-world problems with speed, clarity, and measurable impact.As part of their expansion, we are looking for experienced AI Engineers who can build robust, scalable applications powered by large language models.The RoleAs an AI Engineer, you will design, build, and deploy production-grade LLM-powered systems.This role sits at the intersection of software engineering, AI implementation, and agentic orchestration.You will work on:Multi-agent architecturesIntelligent tool and API integrationsRAG pipelines and vector-based retrievalEvaluation frameworks and AI observabilityProduction workflows that ensure reliability, consistency, and scaleYou'll play a critical role in crafting the orchestration layer that makes LLM systems trustworthy-handling failure modes, optimising agent collaboration, and improving robustness across diverse use cases.Key ResponsibilitiesBuild production AI systems using LLMs, RAG pipelines, vector databases, and agentic frameworksDesign evaluation and observability frameworks to measure performance, accuracy, and reliabilityDevelop clean, scalable applications with proper error handling, APIs, and data pipelinesImplement and maintain retrieval systems (vector/graph databases, ingestion pipelines, chunking strategies, advanced retrieval methods such as HyDE)Integrate feedback loops to improve system behaviour over timeCraft effective prompts and optimise latency, cost, and output quality across multiple model providersCollaborate closely with engineering, product, and, Contract Duration - 6 monthsWe are looking for talented Research Engineers to join a cutting-edge AI research team focused on advancing machine learning systems and large language models. What You'll Do- Conduct advanced research in machine learning systems- Design tools..., Architecture & Solution DesignDefine reference architectures for GenAI systems: RAG, agentic orchestration, tool/function calling, multi-step reasoning workflows, memory patterns, and context strategies.Design multi-tenant and enterprise-scale GenAI platforms with clear..., Senior Machine Learning Engineer - Ranking & RecommendationsTech Stack: Python, GCP, BigQuery, dbt, modern ML frameworks, LLMs, embeddings, RAGSalary: £110,000 - £130,000 + options schemeContract: Permanent, full-timeLocation: London, 3 days per weekSponsorship: Tier 2..., Machine Learning EngineerLocation: UK (hybrid/on-site as required) Rate: £550 per day (Outside IR35) Security Clearance: Must hold UK SC ClearanceContract Machine Learning Engineer - Defence AI ProgrammesWe are supporting a specialist AI organisation delivering advanced...

data teams to build enterprise-ready AI solutionsRequired Skills & ExperienceHands-on experience building applications using LLM APIsDeep understanding of model capabilities, limitations, and failure modesPractical experience with RAG, vector databases, knowledge graphs, and prompt engineeringExperience building multi-step LLM workflows and agentic systems (e.G. LangChain, LangGraph, Claude Agents SDK, Strands, or custom frameworks)Strong proficiency in Python (or similar language) and developing production APIs/servicesCloud experience with AWS, GCP or AzureSolid understanding of distributed systems, CI/CD, testing frameworks, and deployment pipelinesExperience designing or operating cloud-native, production-grade infrastructureStrong data manipulation skills (Pandas, SQL)Ability to optimise non-deterministic systems through experimentation while balancing latency, cost, and qualityNice to HaveExperience with AI-assisted coding (Claude Code, GitHub Copilot, etc.)Experience fine-tuning LLMs or deciding when to use fine-tuning vs RAG/promptingExposure to streaming, multimodal models, or search technologies (Elasticsearch, etc.)Familiarity with observability tools (LangSmith, Weights & Biases)Experience in regulated or industry-specific environments (finance, energy, healthcare, legal, retail)Experience developing tool-calling agents, hand-offs, and guardrailsWhat's on OfferA fast-growing organisation with significant opportunities for career progressionHighly competitive salary + bonusA collaborative, engineering-driven culture where you'll make an impact from day oneFinancially strong, well-backed business with global expansion plansChoose your own gear (MacBooks, PCs, accessories)Dedicated learning & development budget Similar jobs, Junior AI Engineer (0-2 years) | Competitive Salary | London & Luton | Hybrid Working Are you a Junior AI Engineer looking to kick-start your career working on real-world machine learning systems used at scale?We're looking for a curious and motivated Junior AI Engineer..., We are looking for an LLM Engineer who is ready to get their hands dirty immediately.You will partner with our current high-performance team to ship product features fast.The Role: Builder First, Architect SecondThis is not an "ivory tower" architecture role. You must be...

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