About Signal Ocean:

Signal Ocean is the technology arm of the Signal Group, a diversified shipping services group with offices in London and Athens. Our main product, The Signal Ocean Platform, allows ship charterers, brokers and owners to securely process, combine and analyse complex arrays of private and public shipping data. Powered by sophisticated machine learning / artificial intelligence technologies, the platform delivers customized, exclusive insights that help our clients achieve performance and efficiency.

About the role

As the Signal Ocean Platform continues to grow, we’re expanding our engineering team. We’re looking for a Software Engineer capable of building and maintaining scalable back-end data services (primarily in Python) within the Modelling & Data Services team. Signal’s Software Engineers work closely with data science, design, product, and business analysis professionals to develop robust solutions for the highly entrepreneurial domain of shipping.

Who we are 

At DOF what we do is as important as the way we do business – our operations are safe, legal and ethical, everywhere we do business. The DOF team treat each other and our surroundings with RESPECT, INTEGRITY and strive for EXCELLENCE in all we do. All our employees are expected to have a drive for results and solve problems, but not without showing integrity and focusing on communication along the way. 

With a multi-national workforce of over 5000 personnel, DOF is an international group of companies which owns and operates a fleet of modern offshore/subsea vessels, with an engineering, survey and ROV capacity to service both the offshore and subsea market. With more than 40 years in the offshore business, the DOF group has a strong position in terms of experience, innovation, product range, technology, and capacity. 

DOFs core activities are vessel ownership, vessel management, project management, engineering, vessel operations, survey, remote intervention, and diving operations. DOF offers a full spectrum of top-quality offshore services to facilitate an ever-growing and demanding energy industry. 

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are seeking an experienced Lead Data Engineer with expertise in AWS & Snowflake to join our data team. As a Lead Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Cloud Snowflake DBT. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

Senior Full-Stack Software Engineer (On-site)

Compensation: $150K - $200K

We are hiring a Senior Full-Stack Software Engineer to join a fast-paced, high-growth AI company dedicated to building the next generation of autonomous digital workers. This is an on-site, full-time position in San Francisco, CA.

As a Senior Full-Stack Software Engineer, you will play a crucial role in shaping the future of AI and digital workers. Your primary focus will be on driving velocity and end-to-end ownership of products and problems within the engineering team.

Key Responsibilities:

• Architect and build new, complex workflows within our core products.
• Maintain and optimize existing feature-rich workflows to ensure high performance and reliability.
• Act as a critical bridge between Applied Research, Go-To-Market (GTM), Product, and Engineering teams.
• Identify, propose, and implement significant architectural improvements and scalability solutions.
• Drive and enforce technical decisions and best practices across the engineering team.
• Actively contribute to product engineering across the full stack.

Requirements

Machine Learning Scientist (SocialFi/Decentralized Platform)

Location: New York City, London (Office)

Compensation: $250K - $300K

We are a high-growth software development company comprised of elite builders, moving fast to redefine what is possible in the social and decentralized technology space. We are proud contributors to one of the largest global social networks in the crypto space. We are committed to leveraging cutting-edge technology to build the future of decentralized applications.

We are seeking an experienced Machine Learning Scientist to be instrumental in applying AI and ML techniques to shape the future of our platforms and beyond.

As a Machine Learning Scientist, you will work alongside world-class engineers and product teams to drive the development of sophisticated algorithms. These models will power key platform features such as personalization, recommendations, search, and real-time decision-making, significantly enhancing the user experience.

Key Responsibilities

Senior Rust Engineer - On-Chain Security Infrastructure

Location: Remote - Europe

Compensation: $165K - $200K

We are building a Credible Layer—a step-level improvement for on-chain security designed to safeguard the crypto industry and restore credibility after billions were lost to hacks. We are creating an on-chain protocol and off-chain infrastructure that enables protocols to enforce security rules for every transaction. Backed by world-class investors, we are seeking a Senior Rust Engineer to work on bleeding-edge infrastructure at the heart of our mission.

You will play a crucial role in shipping cutting-edge features that extend the EVM (Ethereum Virtual Machine) to enable security rules to be checked after every state transition. This is a high-impact, deeply technical role requiring expertise in performance optimization and low-level systems programming within a collaborative, fast-iteration environment.

Key Responsibilities:

Our team is searching for a skilled Middle Python Developer to strengthen our backend and help evolve our product architecture. You’ll work closely with experienced engineers, bring fresh ideas to the table, and take ownership of key components.

Your responsibilities will include:

• Writing, maintaining, and optimizing high-quality code;
• Analyzing the existing solution architecture and taking an active role in designing a new one;
• Leading a small team of two backend developers.

What we’re looking for:

• 3-4 years of experience in backend development with Python 3.x (FastAPI or Flask);
• Strong skills in designing and building RESTful APIs;
• Solid understanding of OOP principles, data structures, and algorithms;
• Hands-on experience with asynchronous programming (asyncio, aiohttp) and API integrations;
• Strong knowledge of SQL and experience with ORMs (SQLAlchemy or Django ORM);
• Practical experience with caching tools (Redis, Memcached) and database migrations;
• Good understanding of Docker, CI/CD pipelines, and version control (Git);
• Familiarity with cloud platforms (AWS, GCP, or Azure) and web servers (Nginx, Gunicorn, Uvicorn);
• Knowledge of design patterns, SOLID principles, and system design;
• Strong communication skills.

Our team is searching for a skilled Middle Python Developer to strengthen our backend and help evolve our product architecture. You’ll work closely with experienced engineers, bring fresh ideas to the table, and take ownership of key components.

Your responsibilities will include:

• Writing, maintaining, and optimizing high-quality code;
• Analyzing the existing solution architecture and taking an active role in designing a new one;
• Leading a small team of two backend developers.

What we’re looking for:

• 3-4 years of experience in backend development with Python 3.x (FastAPI or Flask);
• Strong skills in designing and building RESTful APIs;
• Solid understanding of OOP principles, data structures, and algorithms;
• Hands-on experience with asynchronous programming (asyncio, aiohttp) and API integrations;
• Strong knowledge of SQL and experience with ORMs (SQLAlchemy or Django ORM);
• Practical experience with caching tools (Redis, Memcached) and database migrations;
• Good understanding of Docker, CI/CD pipelines, and version control (Git);
• Familiarity with cloud platforms (AWS, GCP, or Azure) and web servers (Nginx, Gunicorn, Uvicorn);
• Knowledge of design patterns, SOLID principles, and system design;
• Strong communication skills.

About Us:

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data.

For over a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data, quickly, dependably, and at scale. And today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

About the role:

You would be involved in developing our recently released SaaS offering - Zyte API, which provides a single ML-powered API to power all web data extraction use cases.. Zyte API  is a distributed application written in Java, C++, Python and Nodejs components communicating via HTTP, web sockets and Apache Kafka, and orchestrated using Kubernetes.

Roles & Responsibilities:

AI Software Engineer (Generative AI)

Azumo, a leading AI Development company, is seeking a highly motivated AI Software Engineer to join our growing team of expert AI developers. We specialize in delivering Top AI Development services, helping organizations build intelligent applications powered by Generative AI, large language models (LLMs), and advanced automation.

As part of our team, you will collaborate with engineers, data scientists, and domain experts across SaaS, cloud, and big data environments. You will work on cutting-edge AI software development services, translating research into production-ready solutions that drive real-world impact for global clients.

At Azumo, you’ll thrive if you enjoy the full lifecycle of Generative AI development—from ideation and prototyping to deployment, monitoring, and scaling intelligent applications.