Vice President of Machine Learning

Tact; Greater London; Hybrid; GBP 120,000 - 210,000; Full time

Job summary

Tact in London is seeking a Lead AI / ML Engineer to steer the AI/ML direction of the business where AI is the core product. You will lead a team of experienced engineers and stay hands-on, shaping architecture, roadmaps and what gets built over structured financial data and company filings.

The role blends agents/LLMs with traditional ML, requiring deep production experience (RAG, multi-agent, PyTorch, MLOps) and the ability to explain complex thinking to both engineers and executives.

Qualifications

• Experience leading AI/ML initiatives in production environments.
• Hands-on with AI/LLM systems and traditional ML.
• Proven ability to define architecture and roadmap for AI products.

Responsibilities

• Lead AI direction and architectural decisions for the product.
• Build and ship agentic AI/LLM systems over financial data and filings.
• Manage and mentor an experienced engineering team.

Skills

AI/ML leadership

Agentic AI / LLM

Python

System design

Cloud infrastructure

Leading engineering teams

Financial data

Tools

PyTorch

scikit-learn

XGBoost

MLOps pipelines

Job description

Lead AI / ML Engineer | Agents, LLMs & Traditional ML | Python

London (central) | Hybrid

There's a good story behind why this role exists.

A team of experienced credit analysts got fed up with how their industry worked. Corporate credit is one of the biggest investment markets in the world, yet analysts were still manually pulling filings, spreading numbers and building models by hand.

So they built the technology to fix it.

Today, their clients include the top investment banks in the world. Over the last few years, they've massively grown their client base & their revenue!

AI isn't a side project here, it's the product.

Their platform already lets credit investors query financial data and company filings in plain English.

They're genuinely at the frontier of AI in financial markets.

They're now looking for someone to lead the AI/ML team.

You won't be joining as a manager who has stepped away from the code.

You'll take the lead on AI, building agentic systems over real financial data, leading a team of very experienced engineers and helping shape where the tech goes next. You'll still be hands-on, with a big say in the architecture, the roadmap and what gets built.

The work is a real mix: agents and LLMs working over structured numerical financial data and company filings, alongside traditional ML, all where accuracy genuinely matters.

One of the best things about the setup is that they're big enough to have serious clients and proven traction, but still small enough that you'd own the technical direction, with very little red tape.

You'll ideally have experience with:

• Building and shipping agentic AI / LLM systems in production (RAG, multi-agent, tool use, MCP)
• Traditional machine learning in production (e.g. PyTorch, scikit-learn, XGBoost)
• MLOps and evaluation pipelines
• Python (TypeScript is a bonus)
• System design and cloud infrastructure
• Leading engineering teams and setting technical direction
• Financial services, fintech or financial data

This would suit someone who still loves engineering, but is ready to lead the AI direction of a business where AI is the core of the product, and who can explain their thinking clearly to engineers and execs alike.