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AI Suport Deployment Engineer Investment Bank

at McGregor Boyall

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 8 hours ago

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Compensation: Up to £60,000 GBP
City: London
Country: United Kingdom

Technically hands-on AI engineering role embedded in London, focusing on designing, building and deploying production-grade AI solutions using Python and LLMs. You will prototype, productionise and optimise AI/ML workflows, integrate models into internal workflows, and write automation scripts for deployment and monitoring in Linux environments. The role is four days onsite per week, collaborating with front-office and operations teams to deliver rapid iterations and measurable business impact.

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AI Suport Deployment Engineer Investment Bank

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BBBH169516_1772103980 Posted: 26/02/2026

Up to £60000.00 per annum + Pension + Bonus + Benefits
City of London, London
Permanent

My client, a leading global investment bank, is seeking a technically strong AI Support Analyst / AI Forward Deployment Engineer with deep Python expertise to design, build and deploy production-grade AI solutions.

This is a hands-on engineering role embedded within the London business. You will work directly with front-office and operations teams to prototype, productionise and optimise AI/ML solutions, with a strong focus on Python-based development, LLM integration and system automation.

The role requires four days per week onsite to enable close collaboration, rapid iteration and real-time problem solving.

Core Technical Responsibilities

Python Engineering & AI Development

Design and build AI/ML solutions using Python as the primary language
Develop modular, maintainable and production-ready code
Build data pipelines for structured and unstructured datasets
Integrate LLM APIs and open-source models into internal workflows
Implement prompt engineering frameworks and evaluation tooling
Optimise model performance through experimentation and benchmarking

LLM & Model Evaluation

Develop evaluation pipelines for LLM outputs (accuracy, hallucination detection, relevance scoring)
Build automated testing and validation frameworks
Implement logging, monitoring and feedback loops for continuous improvement
Apply prompt tuning, retrieval augmentation (RAG), and model optimisation techniques

Systems & Infrastructure

Deploy AI applications into Linux-based production environments
Write automation scripts (Python/Shell) for deployment, monitoring and reporting
Work with SQL databases for data extraction and transformation
Ensure solutions meet internal governance, compliance and security standards

Business-Embedded Delivery

Translate business workflows into technical AI solutions
Rapidly prototype and iterate with users
Deliver "micro-wins" that demonstrate measurable impact
Provide technical documentation and user training

Required Experience

Bachelor's degree in Computer Science (essential)
5+ years' experience in AI/ML engineering or advanced Python development
Strong Python expertise including:
- Object-oriented programming
- API integration
- Data processing libraries (e.g. pandas, NumPy)
- ML frameworks (e.g. PyTorch, TensorFlow or similar)
Experience building and deploying LLM-powered applications
Strong understanding of:
- Prompt engineering
- Model evaluation methodologies
- Performance optimisation
Proficiency in SQL and Linux environments
Experience with version control, CI/CD concepts and production deployment practices
Strong debugging and troubleshooting capability

Desirable Experience

Experience within financial services or capital markets
Knowledge of futures trading systems and exchange connectivity
Exposure to platforms such as ION, FIS or TT
Understanding of FCA and EMIR regulatory requirements
Experience building internal AI tooling or workflow automation systems

Why This Role?

Highly technical, hands-on AI engineering role
Direct exposure to real business problems and measurable impact
Opportunity to shape AI architecture within a regulated trading environment
Strong visibility across both London stakeholders and global AI leadership

If you are a Python-focused AI engineer who enjoys building robust, production-ready AI systems in a fast-paced financial environment, we would welcome a confidential discussion.

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Dan Fisher Director | Development & Technology

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AI Suport Deployment Engineer Investment Bank