AI Engineer

We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.

Role Title: AI Engineer

Contract duration: 12 months Location: London/Hybrid-3 days onsite

Rate: 414GBP/Day(Inside IR35)

Minimum years of experience: 8+ years

Job Description:

Mandatory Qualifications

Proven years of experience in MLOps, data engineering, or software development, with a recent focus on GenAI, LLMs, and advanced analytics. Understanding of software engineering practices such as version control, CI/CD containerisation, and monitoring, particularly within ML or MLOps context. Proficiency in Python and/or Ruby, with experience in ML libraries (scikit-learn, TensorFlow, PyTorch) and frameworks such as FastAPI, LangChain, or similar. Hands-on experience with LLM APIs, foundation models, embeddings, vector databases, RAG workflows, and agentic AI systems including MCP. Experience with large-scale datasets using SQL, distributed data platforms (eg, Spark), and cloud-native infrastructure (eg, AWS, GCP, or on-prem hybrid). Strong data visualisation and communication skills, with the ability to explain complex models to both technical and non-technical audiences. Ability to translate ambiguous business problems into structured AI/ML solutions, and to manage multiple projects independently in a fast-paced environment. Prior experience collaborating with cross-functional teams including data engineers, developers, and UI/UX designers. B.S. Degree in Computer Science, Engineering, Statistics, Data Science, or equivalent work experience.

Preferred Qualifications

Past experience in generating sales insights and analytics using AI. Strong experience translating business questions into AI/ML solutions and communicating results to senior leaders and diverse audiences. Experience in revenue forecasting, or commercial operations. Proven experience with GenAI frameworks (LangChain, LlamaIndex, etc.), anomaly detection, and causal inference models. Familiarity with distributed systems technologies such as RabbitMQ, Redis, and Valkey, and with vector knowledge graph data modelling. Advanced Degree (MS or Ph.D.) in Computer Science, Electrical Engineering, Statistics, Data Science, or a similar quantitative field.

Mandatory process: 3 days a week on-site, from client office at Central London.

Desired Skill:

MLOps, Python/Ruby, LLM APIs, foundation models, embeddings, vector databases, RAG workflows, and agentic AI systems including MCP, SQL, distributed data platforms (eg, Spark), and cloud-native infrastructure (eg, AWS, GCP, or on-prem hybrid)

If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.

Proven years of experience in MLOps, data engineering, or software development, with a recent focus on GenAI, LLMs, and advanced analytics. Understanding of software engineering practices such as version control, CI/CD containerisation, and monitoring, particularly within ML or MLOps context. Proficiency in Python and/or Ruby, with experience in ML libraries (scikit-learn, TensorFlow, PyTorch) and frameworks such as FastAPI, LangChain, or similar. Hands-on experience with LLM APIs, foundation models, embeddings, vector databases, RAG workflows, and agentic AI systems including MCP. Experience with large-scale datasets using SQL, distributed data platforms (eg, Spark), and cloud-native infrastructure (eg, AWS, GCP, or on-prem hybrid). Strong data visualisation and communication skills, with the ability to explain complex models to both technical and non-technical audiences. Ability to translate ambiguous business problems into structured AI/ML solutions, and to manage multiple projects independently in a fast-paced environment. Prior experience collaborating with cross-functional teams including data engineers, developers, and UI/UX designers. B.S. Degree in Computer Science, Engineering, Statistics, Data Science, or equivalent work experience., Past experience in generating sales insights and analytics using AI. Strong experience translating business questions into AI/ML solutions and communicating results to senior leaders and diverse audiences. Experience in revenue forecasting, or commercial operations. Proven experience with GenAI frameworks (LangChain, LlamaIndex, etc.), anomaly detection, and causal inference models. Familiarity with distributed systems technologies such as RabbitMQ, Redis, and Valkey, and with vector knowledge graph data modelling. Advanced Degree (MS or Ph.D.) in Computer Science, Electrical Engineering, Statistics, Data Science, or a similar quantitative field.