Junior Software Engineer

Methodfi; Greater London; Hybrid; GBP 30,000 - 40,000; Full time

Job summary

A leading technology firm in Greater London is seeking a Junior Software Engineer to join their innovative team. You will work closely with research engineers to develop novel neurosymbolic solutions and gain exposure to various software engineering processes, including Backend, Frontend, and DevOps. The firm offers hands-on mentoring to support your transition into a skilled engineer. With a hybrid working model, you will enjoy the flexibility of working in-office and remotely.

Benefits

Hands-on mentoring

Exposure to cutting-edge technology

Collaborative team environment

Qualifications

• Demonstrable capability at programming with Python.
• A relevant degree in Computer Science, Mathematics or Engineering; other STEM degrees considered.
• Bias for action with a natural tendency to take the initiative.

Responsibilities

• Collaborate with research engineers and scientists on neurosymbolic solutions.
• Gain exposure to the full lifecycle of software engineering including Backend, Frontend, and DevOps.
• Work on innovative AI techniques and contribute to fundamental research problems.

Skills

Programming with Python

Initiative and decision-making

Education

Degree in Computer Science, Mathematics or Engineering

Job description

The role

We’re looking for a Junior Software Engineer, who is energised by difficult problems. Our software engineers work closely with research engineers and scientists to develop novel neurosymbolic solutions.

As a Junior Software Engineer, you’ll receive hands on mentoring and support from experienced engineers and managers, who will help you apply and develop your skills. We’re proud of our track record of helping early-career engineers become highly skilled senior engineers.

You’ll gain exposure to the full lifecycle of software engineering: Backend, Frontend and DevOps. You’ll also develop skills and expertise in working with AI research and machine learning.

At UnlikelyAI, you\'ll have the rare opportunity to work directly with our proprietary neurosymbolic technology – combining Large Language Models with symbolic reasoning in ways that haven\'t been done before. Unlike typical graduate roles where you might work on incremental features, here you\'ll be contributing to fundamental research problems: how do we make AI systems that can explain their reasoning? How do we ensure reliability when dealing with critical financial and regulatory decisions? You\'ll collaborate closely with our research team, gaining exposure to cutting-edge AI techniques whilst building production systems used by major institutions like Lloyd\'s Bank. This isn\'t about fine-tuning existing models; we’re inventing entirely new approaches to trustworthy AI.

Required qualifications

• Demonstrable capability at programming with Python

• A relevant degree in Computer Science, Mathematics or Engineering; we’re happy to consider other STEM degrees on a case-by-case basis

• Bias for action — you have a natural tendency to take the initiative and make decisions

Why Join Us?

Team - We have a world-class team of intelligent, focused, collaborative people. We\'re ambitious, move fast and have a lot of fun while doing it.

Vision - We have a huge vision for the future. This offers a unique opportunity to work on the foundational layers of AI but, unlike many other companies, we\'re not just scaling LLMs, we\'re focused on a novel neurosymbolic approach.

Tech - You\'ll work with our novel and cutting-edge tech. Driving this forward involves solving some exciting challenges, so our team has the freedom to be creative and explore innovative ideas in an environment where our technology is evolving and maturing.

Location

We are a hybrid working company, with three days in-office as our general expectation. Our Bloomsbury office is equidistant between Tottenham Court Road and Holborn stations.

Equal Opportunities

We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.