Machine Learning Engineer

over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining andManufacturingsectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.#J-18808-Ljbffr, A leading engineering consultancy in the United Kingdom is seeking STEM graduates for a full-time internship. You will work on challenging projects in robotics, AI, and embedded systems, and have opportunities to develop skills in software and hardware design. Candidates..., A leading legal technology firm is seeking an Applied AI Engineer to develop automated systems for legal workflows. This role involves working on agent systems and retrieval pipelines to enhance legal document processes. The ideal candidate has strong Python skills and must...

Job TitleAI Graph Enineer (Senior) Positions Available:x2 Salary:High rates on offer, contact for details - Initial daily pay rate for contract period before converting to salary Location:Abingdon, outside London Hours:Full time Monday to Friday Hybrid:Hybrid working with 2-3 office days in Abingdon - fully remote may be an option for the right candidate Contract:FULL TIME initial 6 month contract, they are treating this as a 'probation' type period, and if all goes well in the first 3-6 months then they will transition you into a permanent staff position or extend the contract if preferred Key Experience Required:someone that has experienced defining and building semantic models, ontologies, and taxonomies aligned with Oil & Gas industry data. About the Role We are seeking a highly skilledAI Agent Engineerwith deep experience inLangGraph ,agentic AI workflows ,ontology-driven knowledge graphs , anddata systems integration . This role will focus on designing and building agentic workflows that enablenatural-language querying across structured and unstructured datato deliver intelligent insights for analytics and decision-making. Candidate will architect and implement multi-step AI agents, integrate them with enterprise data platforms, and build semantic layers that support reasoning, retrieval, planning, and autonomous task execution across heterogeneous data sources. Experience inOil & Gasdata domains such as drilling, production, subsurface, HSE, or asset operations is highly preferred. Key Responsibilities Knowledge Graph & Ontology EngineeringDefine and buildsemantic models, ontologies, and taxonomiesaligned with Oil & Gas industry data. Architect and maintainknowledge graphsthat integrate with enterprise data sources. Implement embeddings-assisted retrieval, RAG pipelines, and cross-domain entity linking. AI Agent & Workflow DevelopmentDesign, build, and scaleLangGraph-based agentic workflowsfor natural-language data exploration, insights generation, and analytics automation. Implement autonomous workflows including planning, retrieval, reasoning, and tool execution. Build modular, stateful agents capable of multi-step reasoning, context retention, and complex decision flows. Data Systems IntegrationConnect AI agents withrelational databases (PostgreSQL, SQL Server, Oracle) ,graph databases (Neo4j, Neptune) , anddata lakes(S3, ADLS, Delta Lake). Build pipelines to ingest, index, and query bothstructuredandunstructureddata. Develop semantic query layers for NL-to-SQL, NL-to-GraphQL, or NL-to-SPARQL translations. Application & API DevelopmentBuild Python services, APIs, and microservices for agent orchestration and data access. Collaborate with data engineering, analytics, and domain experts to deploy scalable solutions. Oil & Gas Domain ExpertiseUnderstand industry data models such as drilling logs, production data, wellbore schemas, seismic metadata, engineering documents, and operations workflows. Translate industry use cases into agentic AI workflows that deliver actionable insights. Required Skills & ExperienceCore Technical Skills LangGraphfor agent orchestration (planning, memory, tools, multi-agent workflows). Python(advanced proficiency). Knowledge Graphs : building ontologies, semantic models, RDF/OWL, SPARQL. Graph Databases : Neo4j, Neptune or similar. Relational Databases : PostgreSQL, SQL Server, MySQL, Oracle; query optimization. Data Lakes : S3, ADLS, Delta Lake, Parquet/Arrow. RAG / Vector Databases : Postgres, Pinecone, Weaviate, Qdrant, Chroma or equivalent. Natural Language Query Systems : NL-to-SQL, semantic query engines, embedding models. AI/ML Skills Experience with LLM-based systems, prompt engineering, and structured agent design. Knowledge of retrieval strategies, hybrid search, and memory architectures. Familiarity with OpenAI, Azure OpenAI, Anthropic, or similar model providers. Architecture & Engineering Skills Microservices architecture, API development, containerization (Docker/Kubernetes). CI/CD and production ML/AI deployment best practices. Industry Skills Oil & Gas data models and standards (PPDM, WITSML, PRODML, RESQML preferred). Understanding of drilling operations, production operations, subsurface data, or engineering documents. Preferred Qualifications 6-10+ years of experience in data engineering, AI engineering, or knowledge graph engineering. 1+ years hands-on experience with LangChain/LangGraph or agentic AI frameworks. Experience designing enterprise-scale semantic or knowledge-centric systems. Prior experience implementing NLQ (natural language query) for analytics or BI. Experience in Oil & Gas digital transformation projects. Soft Skills Excellent problem-solving and conceptual modeling skills. Ability to work cross-functional with data engineering, cloud teams, and business SMEs. Strong communication and technical documentation skills. Ability to translate ambiguous business requirements into technical workflows. With, Technical Artist (Unity) £55-65k + benefits | Cambridge / Suffolk International candidates with excellent Fluent English welcome - Sponsorship Available Looking to make your mark in a growing team where your technical artistry actually shapes the product? You will..., Passionate about building real AI? Skilled with LLMs, RAG pipelines, or agentic AI? Ready to deliver AI that actually works, not just demos? If yes, this role is for you! Work shouldn't just be something we do; it should have a purpose. At Envision, we believe in creating...

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