We have partnered with a high-performing trading firm. TheyÕre hiring into their Data Platform team; the engine behind their trading systems and quant research. YouÕd be building high-throughput data pipelines, shaping internal tooling and working across a cutting-edge cloud-native stack.

The role includes:

¥ Building and scaling data pipelines across multiple sources

¥ Improving data accessibility for quants and traders

¥ Owning data quality, performance and reliability

¥ Working with Python, Rust, AWS and modern infra

TheyÕre looking for:

¥ 5+ years' engineering experience

¥ Strong Python, Rust and AWS skills

¥ Solid grasp of distributed systems and big data tooling

¥ Someone proactive, outcome-focused and low-ego

WeÕre hiring for a client building serious tech to fight serious crime in the crypto space. Think digital forensics, asset recovery, and cryptographic security, all wrapped in distributed, Rust-based systems handling massive amounts of data.

The team includes former DoD engineers, cryptographers, and hackers who have been taking down bad actors for years. YouÕd be joining a tight-knit group of senior engineers, shipping fast and solving hard problems.

What youÕll be doing:

Building distributed systems in Rust (everything new is in Rust; older services are being migrated)

Designing secure, asynchronous services across multiple pipelines and message buses

Working with cryptographic logic, LLMs, and ML models depending on your interest

Balancing clean design with fast, iterative delivery

What theyÕre looking for:

Strong hands-on Rust experience building back-end or systems-level software

Comfortable working with file I/O, Linux environments, and large-scale data

Practical judgment and ability to deliver high-quality code quickly

Bonus points for experience with cryptography, crypto, or AI

Why itÕs interesting:

YouÕll build tech with real-world impact from day one

The engineering team is smart, humble, and mission-driven

Fully remote (US), $170KÐ$180K salary, equity, 401K match, health insurance

A cybersecurity business is making its first AI hire to explore how large language models can power intelligent search across complex security data.

The company is in early stages and this role is critical. YouÕll be working directly with the founder to build the foundations of an AI capability from the ground up. This isnÕt joining a team Ð itÕs starting one.

TheyÕre looking to develop search tools that help security teams find the right information faster. Your job is to figure out how to apply LLMs and modern ML techniques to make that possible.

What youÕll be doing

Prototyping AI-driven search and discovery tools using LLMs

Exploring ways to apply ML/NLP to cybersecurity data

Setting the technical direction for AI within the business

Building initial systems and taking them into production

What theyÕre looking for

Strong background in AI, ML or NLP (LLM experience ideal)

Comfortable working independently in high-ownership roles

Experience shipping prototypes into production environments

Interest in cybersecurity or complex problem spaces

Why it matters

This is the companyÕs first step into AI. YouÕll shape the strategy, choose the tools and help define what AI means for their product. High impact, high visibility and a rare chance to own something from zero.

Hybrid - London

Salary - £100,000 - £150,000

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We have partnered with a fast-growing, product-led company building software that powers real-world operations at scale. With a strong engineering culture and a product team that moves quickly, theyÕre looking for a talented Ruby on Rails Developer to join them onsite in their London office. You'll be working in a modern stack (Rails, React, AWS) and contributing to a high-usage platform with real impact. ItÕs a collaborative environment where engineers are empowered to ship, take ownership, and solve meaningful problems. What youÕll need: Strong experience with Ruby on Rails Proficiency with React and modern JavaScript Familiarity with AWS infrastructure Comfort working in a fast-paced, product-focused team Must be based in London and open to a fully on-site role

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