Required skills
- AI Agent Development
- Retrieval-Augmented Generation
- Large Language Models
- Machine Learning
- Python
- Databricks
- AWS
- MLOps
- CI/CD
- Model Monitoring
- Batch and Real-time Inference Pipelines
- Vector Search
Languages: English
Job description
Project overview
Copilot AI Engineer - Urgent requirement, Immediate interview
Hybrid - Regional Offices
£480 Inside IR35
November start
Contract - 2 Months
Copilot Engineer to develop and deploy enterprise AI solutions for a Financial Services client. The role will focus on building production-ready Copilot agents, Generative AI, RAG, machine learning and enterprise integrations. Finance service customer needs a strong Copilot AI Engineer with ML experience for an ongoing project. Candidates must have Finance Services experience.
Responsibilities
- Design, build and own production-grade copilot agents that provide secure, context-aware and persistent support across the client relationship.
- Deliver production ML and retrieval capabilities that turn enterprise data into timely, explainable recommendations for sellers.
- Establish the evaluation, governance and operational controls required for trusted AI at enterprise scale.
Requirements
If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format.
Disclaimer
Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies.
Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
- Experience building Copilot or AI agent solutions preferably from a Financial Services background
- Experience building and deploying machine learning models in production environments.
- Experience working with AWS cloud platforms.
- Expertise in ML Ops practices, CI/CD, model monitoring and lifecycle management.
- Experience with Generative AI, LLMs and Retrieval-Augmented Generation (RAG) architectures.
- Strong Python development skills and experience with Databricks.
- Experience developing batch and real-time inference pipelines.
- Knowledge of vector search, retrieval optimisation and AI evaluation frameworks.
- Experience of Graph RAG and MCP integrations.
- Familiarity with Kubernetes, Snowflake and enterprise data integrations.
- Strong understanding of security, observability and AI governance principles.
- Excellent stakeholder management and communication skills
Project details
- Work Type: Contract
- Salary/Rate: £ -480 per day
- Remote Work: No
- IR35 Status: Inside IR35
- Start: flexible
- Remote: onsite
- Location: England, GB
- Rate: 60-60 EUR/h
- Languages: English
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