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Artificial Intelligence Engineer
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We are a Global Recruitment specialist that provides support to clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Role Title: AI Engineer
Location: London (Hybrid, 3 days WFO/week)
Contract duration: 12 months
Pay Rate: £363 to 378 per day all inc. (Inside IR35)
Job Description:
- Design and build production-grade machine learning systems across the sales data platform, including building MCP servers, recommendation systems, agentic summarisation frameworks, and RAG pipelines at scale.
- Deploy models into batch and real-time environments, ensuring scalability, reliability and performance
- Engineer solutions using LLMs and foundation models to build applications such as chatbots, semantic search engines, and summary generation tools for a data reporting platform.
- Design modular APIs, SDKs, and micro-services to integrate LLMs, RAG and traditional ML models into existing reporting solutions.
- Own the end-to-end AI/ML lifecycle: problem definition, data exploration, model development, validation, deployment, and monitoring.
- Develop forecasting models, segmentation approaches, and optimisation algorithms to drive sales strategy, and build early warning systems to identify risks and opportunities.
- Drive interoperability with existing ML systems and support downstream applications such as dashboards, web tools, and chat interfaces.
- Partner closely with engineering, sales ops, and business stakeholders to embed context-aware intelligence into decision-making tools and processes.
- Lead technical decision-making on infrastructure, embedding safety mechanisms such as grounding checks and model monitoring.
- Conduct experiments and causal analyses to evaluate the impact of business initiatives, and communicate findings clearly to technical and executive audiences.
- Contribute to hiring, mentoring, and engineering best practices in model governance, reproducibility, and data quality.
- Champion innovation by staying abreast of the latest advancements in AI/ML and actively seeking opportunities to apply new tools and techniques.
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Minimum 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 R, 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 (e.g., Spark), and cloud-native infrastructure (e.g., 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.
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Education:
- 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.
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.
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