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Kureos

Kureos

kureos.xyz

2 Jobs

1 Employees

About the Company

Kureos (Curious) What we're all about?

We're a boutique recruitment partner specialising in modern tech & quantitative talent. Our purpose is simple, to help advance careers & simplify lives.

With close to 15 years of experience, we have assisted Tech, Quant & Product professionals in the Energy, FinTech & SaaS markets, ranging from start-ups to large-scale enterprises.

Our strong relationships extend across the UK, Spain, Germany & East Coast US.

We specialise in permanent hiring, partnering with our clients, ensuring appropriate solutions are in place for whether it's a single hire or a helping them to rapidly scale.

Our commitment to curiosity drives us to continuously learn about our partners, their markets, and their challenges. Enabling us to provide scalable solutions that meet every need.

We strive to be at the forefront of our field, aiding clients in recruiting and retaining diverse talent.

Our candidate expertise include:

- Software Engineering: .NET, JavaScript (Node and React) & Python (Django).
- DevOps & SRE
- Quant Analysts, Developers and Researchers
- Pricing Specialist / Energy Consultants
- Pre-Sales Engineers
- Leadership, including C-Suite positions

In addition to our core expertise, we also specialise in recruitment services that enhance our clients' ability to attract the very best both direct and via ourselves.

Our services include:

- Talent Acquisition Strategies. Tailored strategies, EVP formulation, innovative sourcing, network utilisation, industry trend awareness
- Candidate Assessment and Screening. Comprehensive process ensuring technical skills and cultural alignment
- Market Insights. Up-to-date knowledge of market dynamics, emerging tech, industry shift, and talent trends
- Diversity and Inclusion. Commitment to building diverse teams, and fostering innovation

If you'd like to know more about how we can help you, drop us a note.

Email: sales@kureos.xyz
Phone: +44 204 587 9779 (UK) / +1 929 930 6596 (US)

Listed Jobs

Company background Company brand
Company Name
Kureos
Job Title
Full Stack Engineer
Job Description
Job Title: Senior Full Stack Engineer (TypeScript, Node.js, React, AWS) Role Summary: Design, develop, and maintain scalable, enterprise‑grade SaaS solutions for a high‑growth fintech platform, collaborating closely with architecture, data modeling, and API teams to deliver robust, performance‑centric features. Expectations: - 5+ years in SaaS or scale‑up environments - Proven track record building end‑to‑end features in Node.js/TypeScript and React - Strong grasp of modern DevOps practices (Docker, CI/CD, AWS; Kubernetes desirable) - Clean code advocate with experience in collaborative, cross‑functional teams - Ability to balance rapid delivery with long‑term maintainability Key Responsibilities: - Design and implement backend services, APIs (REST, GraphQL, tRPC, WebSockets) in Node.js/TypeScript - Build front‑end components with React, ensuring scalability and responsiveness - Work with data models, schema design, and data pipelines, including document parsing and data visualization - Integrate machine‑learning components where required - Participate in architecture reviews, technical strategy, and performance optimization - Collaborate with QA, DevOps, and product stakeholders to deliver high‑quality releases Required Skills: - Proficiency in Node.js, TypeScript, React - Deep knowledge of AWS services (Lambda, API Gateway, DynamoDB, S3, etc.) - Experience with Docker, CI/CD pipelines, and version control (Git) - Familiarity with Kubernetes and container orchestration (plus) - RESTful API design, GraphQL, tRPC, WebSocket implementation - Data modeling, relational and NoSQL databases - Unit, integration, and end‑to‑end testing practices - Strong problem‑solving, debugging, and code review skills - Excellent written and verbal communication Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience - No mandatory certifications required, though knowledge of AWS certifications or similar is advantageous.
London, United kingdom
Hybrid
Mid level
03-11-2025
Company background Company brand
Company Name
Kureos
Job Title
Founding Engineer (ML)
Job Description
Job title: Founding Engineer (ML) Role Summary: Bridge research and engineering to build scalable AI systems for materials discovery. Design and maintain training/inference pipelines, prototype ML algorithms with scientists, and develop tooling to accelerate simulation and experimentation. Influence core architecture of an early‑stage AI platform. Expectations: - Act as early technical lead, setting standards for code, data, and model quality. - Own end‑to‑end engineering of ML workflows from research prototypes to production. - Collaborate closely with domain scientists to ensure solutions meet research goals. - Iterate rapidly in a dynamic, exploratory environment. Key Responsibilities: - Design, implement, and optimize distributed training and inference pipelines. - Build and maintain research tooling and infrastructure for simulation, experimentation, and AI reasoning. - Prototype new ML algorithms, evaluate performance, and integrate results with scientific teams. - Improve system performance, reliability, and reproducibility across HPC clusters, cloud platforms, and experiment interfaces. - Curate, manage, and evaluate structured and unstructured scientific datasets for downstream ML use. - Support deployment workflows and continuous integration of models into production workflows. Required Skills: - 2+ years experience in research or software engineering with practical ML focus. - Strong programming in Python, experience with PyTorch, Linux, Git, and HPC fundamentals. - Knowledge of cloud platforms (AWS, GCP, Azure) and scalable infrastructure. - Proficiency in data preprocessing, pipeline orchestration, and model deployment. - Ability to work in high‑velocity, exploratory settings and communicate complex concepts to interdisciplinary teams. - Passion for scientific discovery through automation and machine learning. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering or related field. - (Optional) Certifications in cloud technologies or ML engineering are advantageous.
London, United kingdom
Hybrid
Junior
24-11-2025