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We’re looking for a deeply experienced software engineer with full-stack fluency who brings strong technical judgment and a critical eye for quality. This role is about making the right decisions, shaping architecture, and raising the engineering bar.

You’ll use AI tools as force multipliers while maintaining high standards for correctness, maintainability, performance, and testing.

What You’ll Do

• Own technical quality across design reviews, code reviews, testing, and production readiness
• Collaborate with product, design, and engineering to shape solutions and tradeoffs
• Architect frontend-first, full-stack systems that are modular, scalable, and resilient
• Improve performance, reliability, and maintainability across the stack
• Champion functional programming and immutability for simpler, more predictable systems
• Leverage AI-assisted development (prototyping → refinement → production hardening)
• Build and enforce robust testing strategies (unit, integration, UI, end-to-end)

What You Bring

• 8+ years building production web applications
• Expert in TypeScript + React, with strong experience in Next.js (SSR) or similar frameworks
• Strong full-stack fundamentals and experience designing scalable systems
• Ability to clearly communicate technical tradeoffs to both technical and non-technical stakeholders
• Track record of building simple, reusable, and adaptable systems
• Deep understanding of testing strategies and CI-driven development
• Proven mentorship and leadership through code reviews and technical guidance

AI-Assisted Engineering

• Hands-on experience with AI-powered dev tools (e.g., Cursor or similar)
• Strong judgment on when to rely on AI-and when not to
• Ability to explore multiple approaches quickly and converge on high-quality, production-ready solutions (not “AI-generated” code)

Why This Role

• Work in a modern AI-augmented engineering environment
• Influence architecture and engineering standards
• Solve complex problems with a high degree of ownership and autonomy
• Be part of a team that values craft, clarity, and thoughtful decision-making

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Principal Site Reliability Engineer (Principal SRE)

Location: Remote (Must be based in USA)
Pay: $175k – $225k base + equity

Highly competitive base salary + equity + comprehensive benefits
(Exact compensation dependent on experience and location)

Overview

We are partnered with a well‑funded, high‑growth AI technology company building a modern, scalable platform that enables customers to deploy advanced machine learning capabilities directly into their own environments.
This organisation is moving away from rigid, monolithic architectures toward a more flexible, event‑driven and platform‑oriented model. Infrastructure, reliability, and governance are treated as first‑class concerns rather than operational afterthoughts.
The Principal Site Reliability Engineer is a senior architectural leadership role, reporting directly into the executive technology organisation. This position sits at the intersection of infrastructure, machine learning systems, and internal platform governance, with broad influence across engineering, data, ML, and product teams.
The focus is on architectural leverage, durable systems, and long‑term platform evolution, with hands‑on involvement where it matters most.

Responsibilities

• Define and evolve the architectural direction of a large‑scale, event‑driven infrastructure platform running primarily on AWS.
• Influence how reliability, scalability, and operational standards are applied across engineering, data science, and ML teams.
• Design and operate distributed systems that support ML training, orchestration, and model serving at scale.
• Own and guide the reliability strategy for containerised workloads deployed both internally and into customer or partner environments.
• Establish platform‑level standards around idempotency, event replay, schema governance, and operational traceability.
• Provide technical leadership across Kubernetes control planes, multi‑cluster environments, and multi‑tenant isolation strategies.
• Define and mature infrastructure‑as‑code standards, CI/CD pipelines, and governance guardrails that reduce risk and increase deployment confidence.
• Shape observability, incident response, and post‑incident learning practices to drive systemic improvement rather than reactive fixes.
• Mentor senior engineers and help scale an SRE function capable of supporting the platform as the company grows.

Must‑Have Qualifications

• 10-15+ years of experience designing, building, and operating production infrastructure at scale.
• Deep hands‑on experience with AWS, including networking, compute, storage, identity, and event‑driven services.
• Proven experience designing or operating event‑driven architectures (e.g. Kafka/MSK, Kinesis, EventBridge, RabbitMQ).
• Strong production experience managing Kubernetes control planes and multi‑cluster environments.
• Experience with Infrastructure as Code (Terraform preferred) and modern CI/CD practices.
• Background working in data‑heavy or ML‑centric environments, with an understanding of the reliability challenges unique to ML systems.
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

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Data Engineer

Location: New York Metro (Hybrid)

Pay: $150k – $200k base + bonus

About the Role & Company

This is an opportunity to join a highly technical, growth-focused investment organisation operating at the intersection of technology, data, and capital. The firm invests exclusively in technology and technology-enabled businesses and maintains a flat, meritocratic culture with strong emphasis on collaboration, trust, and engineering judgment.

The organisation is undergoing a significant data and AI transformation, building foundational infrastructure from the ground up to support investment decision-making, portfolio analysis, and automation. This role sits at the centre of that effort and works closely with investment professionals and senior technical leadership.

Responsibilities

• Build and maintain production-grade data pipelines across structured and unstructured data sources
• Organise and structure fragmented internal and external datasets into scalable, reliable systems
• Design and implement data architecture using modern cloud platforms (e.g., AWS, Snowflake)
• Enable downstream analytics and AI-driven workflows through high-quality data foundations
• Independently evaluate and select appropriate tools and technologies
• Support lightweight AI or agent-based workflows embedded within broader systems
• Partner closely with technical leadership and non-technical stakeholders to support real investment use cases
• Ensure data reliability, scalability, and maintainability across systems

Must-Have Qualifications

• 2-4 years of experience in data engineering or analytics engineering
• Strong proficiency in SQL and Python
• Hands-on experience building and maintaining production data pipelines
• Experience working with cloud data platforms Snowflake, AWS
• Solid understanding of data architecture and engineering trade-offs
• Ability to work independently with strong technical judgement

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Data Engineer

up to £90,000 + Benefits
London (Hybrid)
This is a great opportunity to join a high‑growth adtech scale‑up where you can take ownership of large‑scale data infrastructure that directly powers machine learning, product intelligence, and customer ROI.

THE COMPANY

This is a UK‑based adtech SaaS platform that using machine learning and real‑time behavioural analytics to help brands optimise performance.

THE ROLE

Key responsibilities include:

• Designing, building, and maintaining batch and streaming data ingestion pipelines for high‑volume event data
• Improving and optimising the AWS Redshift data warehouse, including modelling, performance, and cost efficiency
• Refactoring poorly structured data into clean, well‑governed, ML‑friendly datasets
• Building pipelines to support ML workflows, feature stores, A/B testing, and experimentation
• Ingesting and integrating new and under‑utilised data sources
• Working on greenfield projects while scaling existing data infrastructure to billions of data points

YOUR SKILLS AND EXPERIENCE

You will bring strong capability in:

• Python and SQL
• AWS data infrastructure (S3, Redshift, Glue, Athena, Kinesis, Lambda)
• End‑to‑end ownership, from proof‑of‑concept through to production

THE BENEFITS

You will receive a salary of up to £90,000 depending on experience, along with a comprehensive benefits.

HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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A globally elite professional services organization is hiring a Legal Knowledge Engineer to help transform transactional legal work through AI.

This role blends M&A / finance domain knowledge, precedent systems, prompt engineering, and AI quality assurance. You’ll help structure the knowledge foundations that power next-generation legal workflows used by sophisticated practitioners.

Ideal backgrounds:

• Transactional attorneys with systems mindset
• KM / precedent professionals
• Practice innovation managers
• Legal technologists
• AI evaluation specialists with legal exposure

Rare chance to shape the future of elite legal delivery.

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To Apply for this Job Click Here

A globally elite professional services organization is hiring a Manager of Technology Client Services to help shape its client-facing AI and innovation strategy.

This high-visibility leadership role blends external messaging, business development support, executive stakeholder engagement, and team leadership. You’ll help articulate how cutting-edge technology creates real client value.

Ideal backgrounds:

• Law firm innovation leaders
• Legal tech solutions consultants
• Professional services client strategy leaders
• Attorneys with business-facing innovation experience
• Consulting leaders with AI / legal exposure

Rare opportunity to sit at the front edge of AI commercialization within an elite brand.

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To Apply for this Job Click Here

A globally elite professional services organization is hiring a Manager of Legal Engineering to lead AI transformation across transactional practices.

This is a rare leadership opportunity to manage a team focused on redesigning diligence, drafting, negotiation, and legal workflows using next-generation AI tools.

You’ll own roadmap execution, quality standards, stakeholder engagement, scaling initiatives, and team development.

Ideal backgrounds:

• Legal innovation leaders
• Practice innovation managers
• Transactional attorneys turned operators
• KM / legal tech leaders
• AI workflow leaders in professional services

Exceptional visibility and long-term growth potential.

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To Apply for this Job Click Here

A globally elite professional services organization is hiring a Legal Workflow Engineer to help modernize litigation and disputes work through AI.

This role blends litigation operations, prompt engineering, workflow design, and emerging technology. You’ll partner with top practitioners to redesign repetitive work, improve quality, and build scalable AI-enabled processes.

Ideal backgrounds:

• Litigation attorneys with innovation mindset
• eDiscovery / legal tech professionals
• Practice innovation managers
• Knowledge management specialists
• AI workflow builders with legal exposure

Rare chance to shape the future of disputes delivery within an elite institution.

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To Apply for this Job Click Here

SENIOR ANALYTICS ENGINEER

£70,000-£75,000 + BENEFITS

PIMARILY REMOTE

An opportunity to join a popular telecoms company expanding into new markets!

THE COMPANY:

Over the past few years, this telecoms company has expanded. With a rich data set, they have lots of data to work with and are keen to bring in a Senior Analytics Engineer to help with data modelling and transformation.

THE ROLE:

A remote working Senior Analytics Engineer will need to:

• Design and build data models
• Support implementation and maintenance of ELT pipelines
• Ingest data into Snowflake
• Transform data using DBT
• Empower teams to make data driven teams

YOUR SKILLS AND EXPERIENCE:

A successful Senior Analytics Engineer will have the following skills and experience:

• Ability and experience interacting with key stakeholder
• Data modelling techniques – e.g. DataVault, Kimball etc.
• Strong experience in SQL/Python
• Data Cloud Tech experience – e.g. Snowflake/BigQuery/Databricks
• Data transformation experience using DBT

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £75,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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