Location: London (Paddington) Employment Type: Full-time On-site: 5 days/week in-person (Non-negotiable)

About the Role

Our client is building the universal financial intelligence layer for healthcare to solve the sector's chronic lack of financial clarity and efficiency. Their platform unifies fragmented clinical, financial, and transactional data using AI to instantly surface critical KPIs and insights. They are starting in dentistry with the aim of becoming the essential financial infrastructure for healthcare globally.

They are seeking a highly driven Software Engineer to work closely with the CTO, helping to design, build, and accelerate product capabilities. This role offers significant ownership, focusing on backend-heavy infrastructure and taking chunky problems from idea to a deployed, production-grade solution.

What You'll Be Working On

Location: San Francisco, CA

Employment Type: Full-time

Work Arrangement: On-site (minimum 3 days per week)

About the Role

Our client, a venture-backed company aiming to revolutionize the networking industry by creating a vertically integrated infrastructure provider, is seeking a Model Engineer to join their founding core AI team. This is a high-impact role focused on transforming a market with hundreds of billions in revenue by applying cutting-edge machine learning to internet infrastructure.

You will be responsible for the full lifecycle of model development, from data to production deployment, and will directly collaborate with founders to define technical vision and team culture.

What You'll Do

Fullstack Engineer (Python, React)

Location: San Francisco, CA

Employment Type: Full-time

On-site: 9-9-6 in-office schedule

About the Role

Our client is an intensely ambitious, hyper-growth AI startup that is completely rebuilding the foundation of the world’s largest industry: Insurance Claims Processing. They achieved six-figure ARR in just three months and raised a highly oversubscribed $3.8 million seed round from top-tier investors. Their team comes from elite global AI labs (Oxford, Cambridge, ETH Zurich).

They are seeking a Fullstack Engineer with a strong backend focus and clear signals of technical excellence. This role is defined by total ownership—you will be expected to ship features end-to-end and solve every problem, from core infrastructure design to direct client integrations for AI use cases.

What You'll Do

Location: New York City (Near Grand Central Station)

Employment Type: Full-time

Work Arrangement: Hybrid (3-5 days per week in-person)

About the Role

Our client, a rapidly growing AI startup with a mission to reinvent the $80B+ market research industry, is looking for a Member of Technical Staff (ML/AI Focus). The client's platform acts as an AI qualitative researcher, transforming customer interviews into quantitative insights. You'll work closely with a founding team of former Lyft and Ro executives to pioneer the intersection of AI and user research.

This is a foundational role where you will architect the core AI infrastructure and be critical to their mission of merging qualitative and quantitative research.

What You'll Own

In your first year, you will:

• Own the development of synthetic user capabilities.
• Design scalable AI pipelines to handle thousands of user interviews.
• Explore and execute model fine-tuning opportunities for interview analysis and insight generation.
• Be responsible for building cutting-edge AI systems that power the platform's core differentiator.

Requirements

Location: New York, NY (Flatiron District)

Employment Type: Full-time

On-site: 5 days/week in-person (Non-negotiable)

About the Role

Our client is a high-growth, venture-backed defense tech company working at the cutting edge of signal processing, machine learning, and embedded systems. As a Machine Learning Infra Engineer, you will design and build core infrastructure from scratch to handle petabytes of radio spectrum data. This is a high-ownership role for an experienced engineer who has strong opinions on tooling best practices and can make informed, future-proof decisions about architecture.

This team operates with a high bar for talent, a culture of high growth and high ownership, and requires an in-person presence to foster collaboration.

What You'll Do

Location: Palo Alto, CA

Employment Type: Full-time

On-site: 5 days/week in-office

About the Role

Our client, an AI company focused on dramatically accelerating semiconductor design, is seeking a world-class ML leader to architect and own their entire AI roadmap. They are solving the critical problem of exponentially increasing chip design costs by providing an integrated AI agent and code editor workflow to make silicon engineers 4x more productive. This is a foundational role where you will define the technical trajectory across the platform, including code generation, reinforcement learning, and layout optimization.

This position requires a deep, hands-on expert who can lead a growing ML team while actively contributing to the technical work.

Responsibilities

About us

With a long history of operating and investing in the shipping industry, Danaos manages one of the largest independently owned fleet of modern, large-size containerships. Our dedication to innovation, safety, efficiency and environmental responsibility has helped us forge our reputation as the leading provider of containership management services in the world.

Danaos has been widely recognized for its operational performance, technological innovation, high operational standards and commitment to sustainability. This recognition and technology to management, strong work ethic and sustainable development, the awards Danaos has received are the recognition of the innovations the company has developed in every aspect of its activity.

At Danaos we have made environmental sustainability a priority as we look to the future. We constantly employ the highest operating standards on board to ensure an ethical, safe and pollution free environment for everyone - our people, the community and the marine life all over the world.

As an IT Auditor, you will:

We are looking for a hands-on Security Operations Engineer to own and evolve our security posture across infrastructure, endpoints, and internal systems. You will be the primary driver of day-to-day security operations — from managing protective tooling to responding to incidents and coordinating audits. This is a high-ownership role with direct impact on how the company detects, responds to, and prevents security threats.

GoMining is seeking a talented DevOps/SRE Engineer to join our team, ensuring the reliability, scalability, and security of our advanced crypto and fintech products.

This role is ideal for professionals passionate about building robust infrastructure, streamlining CI/CD processes, and maintaining high-availability systems in fast-paced, technology-driven environments. You will play a pivotal role in optimizing system performance, automating operations, and enhancing the resilience of our services.

We are looking for someone who brings technical expertise, problem-solving skills, and innovation to the table.

Responsibilities:

Infrastructure Development & Maintenance

• Design, deploy, and maintain Kubernetes clusters, virtual machines, and local infrastructure.
• Develop and enhance platform architectures with a focus on scalability, reliability, and security.
• Apply DevOps principles across product teams to improve the Software Development Life Cycle (SDLC).

Application Support & Collaboration

• Develop and support business-critical applications.
• Collaborate with developers to streamline features and resolve operational issues.
• Ensure reliable application operations using modern SRE practices (SLI, SLO, Error Budgets).

Automation & CI/CD

We are seeking an experienced and driven Senior Bid Writer with a proven track record in the nuclear industry to lead the development of high-quality, compelling bids and proposals. This role requires strong technical acumen, a strategic approach to bid structuring, and the ability to deliver under tight deadlines. Based in Romania, the successful candidate will work closely with cross-functional teams across engineering, commercial, and legal functions both locally and internationally.

Requirements

Key Responsibilities: