Graduate AI Engineer in London

Energy Jobline ZR; City Of London; Hybrid; GBP 46,000 - 55,000; Full time

Job summary

A fast-growing fintech company in the UK is seeking a Junior AI Engineer / Developer. You will work on designing and deploying AI models for financial decision-making. Ideal candidates are AI Master’s graduates with strong Python skills and experience in machine learning. The position offers a competitive salary up to £55,000 and primarily remote work with a base in Central London.

Benefits

Competitive Salary & Equity

Remote-First with Central London Base

Direct mentorship

Deep Technical Work

Modern Engineering Practices

Collaborative Culture

Pension scheme

Private healthcare

Regular team socials

Wellbeing initiatives

Qualifications

• Recently completed AI-focused Master’s degree from a top-tier university.
• Strong applied project experience in machine learning or deep learning.
• Excellent Python skills with core AI/ML libraries.

Responsibilities

• Designing, training, and deploying machine learning models.
• Building LLM-powered tools for data extraction and decision-support.
• Implementing end-to-end AI pipelines and frameworks.

Skills

Python skills

Machine learning

Deep learning

Data handling

Education

AI-focused Master’s degree

Tools

PyTorch

TensorFlow

scikit-learn

Job description

Job Description

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Junior AI Engineer / Developer – AI Master’s Graduate Role

Fintech

Location: Remote-First (Central London HQ)

Salary: Up to £55,000

Start Date: ASAP

About the Opportunity

We are seeking a highly capable and intellectually curious Junior AI Engineer / Developer to join a fast-growing fintech company building next- AI infrastructure for financial services.

This role is designed for a recent AI-focused Master’s graduate from a leading university who wants to move beyond academic models and work on real production systems. You’ll be responsible for designing, training, and deploying AI models that support complex financial decision-making, risk analysis, and automation for institutional clients.

You’ll work closely with experienced engineers, data scientists, and product leaders, and you’ll be encouraged to think deeply about system behaviour end-to-end—data quality, model performance, evaluation, failure modes, and how AI fits into real financial workflows within a modern fintech platform.

What You’ll Be Doing

• Designing, training, and deploying machine learning and deep learning models for financial analytics, credit / risk scoring, and portfolio insights
• Building LLM-powered tools (e.g. using GPT-class models) that assist with data extraction, document understanding, investor reporting, and internal decision-support
• Implementing end-to-end AI pipelines: data ingestion, cleaning, feature engineering, experimentation, model training, evaluation, and deployment
• Developing robust evaluation and monitoring frameworks for models (including regression tests, performance tracking, and drift detection)
• Working with structured and unstructured financial data (tabular data, time series, PDFs, text, etc.) and designing appropriate representations and features
• Collaborating with product and domain experts to translate fintech and capital-markets workflows into well-scoped AI problems and measurable targets
• Contributing to internal R&D on LLM evaluation, retrieval-augmented (RAG), and methods for improving reliability and explainability of models in financial contexts

What We’re Looking For

• A recently completed AI-focused Master’s degree from a top-tier university (e.g. Oxbridge, Imperial, UCL, or other leading Russell Group) such as:
• MSc Artificial Intelligence
• MSc Machine Learning
• MSc Data Science with a strong AI / ML track
• Or a closely related programme with substantial AI / ML content
• Strong applied project experience in machine learning or deep learning (thesis, research projects, internships, or substantial personal projects)
• Excellent Python skills with experience using core AI/ML libraries (e.g. PyTorch, TensorFlow, scikit-learn, pandas, NumPy)
• Experience training, tuning, and evaluating models using real datasets (not just toy examples), including careful validation and error analysis
• Familiarity with modern LLM tooling and workflows (e.g. using APIs, building simple RAG or prompt-based systems) is highly advantageous
• Comfortable working in Linux-based development environments, using Git, testing, and basic CI practices
• A structured, “extended thinking” mindset: you enjoy breaking down complex, ambiguous problems, reasoning step-by-step, and considering long-term behaviour and trade-offs in AI systems
• Strong communication skills, with the ability to explain technical decisions and trade-offs clearly to both technical and non-technical stakeholders
• Comfortable working in a remote-first, fast-paced fintech start-up environment with a high degree of ownership
• Full right to work in the UK (no visa sponsorship available)

Benefits

• Competitive Salary & Equity: Up to £55,000
• Remote-First with Central London Base: Primarily remote, with a central London office available for collaboration days and team meet-ups
• Career Growth: Direct mentorship from experienced engineers and founders, fast progression in a high-growth AI-driven fintech
• Deep Technical Work: Opportunity to work on challenging, high-impact AI problems with real financial data and users
• Modern Engineering Practices: Exposure to modern MLOps, experimentation workflows, and best practices in production AI
• Collaborative Culture: Join a supportive, intellectually rigorous team that values deep thinking, ownership, and high-quality engineering

✨ Additional Perks: Pension scheme, private healthcare, regular team socials, and wellbeing initiatives

How to Apply

If you’re excited by the opportunity to apply your AI Master’s training to real-world problems in financial technology, please send us your CV. A member of the team will be in touch to discuss next steps.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.