Revolution Technology Ltd

About the Company

Talent acquisition is one of the most significant barriers to the success of a technology business... That is where we come in.

Revolution Technology was founded at the start of 2014 and was born out of the frustrations of the current recruitment industry and the negative reputation it has. The 4 Founders, with a combined experience of over 70 years, set out to challenge these perceptions and build a business with a refreshingly different approach: thus Revolution Technology was born.

The foundations of the business are built upon the underlining principle 'A diverse team is a better team'. We strive to partner with businesses and support them on their journey towards breaking down barriers, eliminating unconscious biases, and creating an inclusive environment that celebrates differences. We provide diverse talent with unfiltered opportunities to add value and progress in their careers.

We are passionate about technology and excited about the growth in the UK market at the moment with technology really driving both the start-up scene forward and the success of the multinationals.

We find the UK technology scene a truly fascinating area to work in which is why we choose to do what we do. This is both a career and a hobby for us.

Lets enjoy working together and make the recruitment process as fun as possible.

0203 587 7811
enquiries@revolutiontechnology.co.uk
@RevTechnology1
Inst: revtechnology1
www.revolutiontechnology.co.uk
www.facebook.com/revolutiontechnologyltd
www.linkedin.com/grp/home?gid=7470692

Listed Jobs

Company Name

Revolution Technology Ltd

Job Title

Founding Engineer

Job Description

Job Title: Founding Engineer Role Summary: Lead engineer building agentic AI tools that empower a disruptive industry sector. Sets technical vision, designs and delivers end‑to‑end AI solutions using large language models, speech‑to‑text, text‑to‑speech, and real‑time automation. Drives product from concept to launch with a focus on scalable, production‑ready code. Expectations: Deliver high‑quality, maintainable code; own product architecture and technology roadmap; collaborate cross‑functionally; iterate quickly; maintain engineering excellence and coding standards; work full‑time and contribute to a close‑knit team culture. Key Responsibilities: - Architect, develop, and deploy AI‑powered features in Python/TypeScript. - Integrate and fine‑tune large language models and speech processing APIs. - Build real‑time data pipelines, micro‑services, and event‑driven architectures. - Own the end‑to‑end product lifecycle, from requirements gathering to production deployment. - Conduct code reviews, enforce best practices, and champion automated testing and CI/CD pipelines. - Mentor junior engineers and foster a culture of continuous improvement. - Collaborate with product and design to refine feature roadmaps and user experience. - Ensure system reliability, scalability, performance, and security. Required Skills: - Advanced programming in Python and/or TypeScript. - Hands‑on experience building and deploying LLM‑based applications. - Proficiency with speech‑to‑text, text‑to‑speech services, and real‑time event processing. - Strong foundation in software engineering fundamentals: CI/CD, testing, version control, design patterns. - Proven ability to ship production systems and scale them to high demand. - Excellent problem‑solving, communication, and collaboration skills. - Comfortable working full‑time in a fast‑paced, close‑knit environment. Required Education & Certifications: Bachelor’s (or Master’s) degree in Computer Science, Software Engineering, or related field (equivalent professional experience may substitute).

London, United kingdom

On site

31-10-2025

Company Name

Revolution Technology Ltd

Job Title

Frontend Developer

Job Description

Job title: Frontend Developer Role Summary: Contract (6 months, hybrid) developer to design and build high‑performance front‑end interfaces for real‑time financial insights from an AWS Data Lake. Collaborates closely with backend/API and data engineering teams to deliver responsive, data‑driven web applications. Expactations: • Deliver functional code within agreed sprint timelines • Maintain high coding standards (linting, unit and integration tests) • Produce clear documentation for components and APIs • Participate in code reviews and iterative feedback cycles Key Responsibilities: • Develop reusable UI components using React (or equivalent) and Relay • Design and implement efficient GraphQL APIs and queries for large datasets • Integrate C#‑based microservices and SQL databases into front‑end workflows • Manage application state with Redux, MobX, or similar libraries • Implement modern UI/UX best practices, ensuring responsive design and accessibility • Optimize rendering performance and load times for data‑rich views • Collaborate with backend and data teams to translate analytics requirements into UI features • Build interfaces that interact with AWS services (S3, Redshift, Athena, etc.) for data retrieval • Troubleshoot and debug production issues across front‑end and API layers Required Skills: • Proficient in React and Redux/MobX (or comparable frameworks) • Experienced with Relay or Git‑based GraphQL clients • Strong grasp of GraphQL schema design, query optimization, and performance tuning • Working knowledge of C# and SQL for data‑backed application scenarios • Hands‑on experience with AWS services (Data Lake, S3, Athena/Redshift, Lambda) • Familiarity with RESTful APIs and HTTP/GraphQL authentication mechanisms • Solid understanding of CSS/Sass, Flexbox/Grid, and responsive design principles • Ability to write clean, maintainable, testable code (unit, integration, end‑to‑end) • Good communication skills and collaborative mindset for cross‑functional teams Required Education & Certifications: • Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience) • Official certifications preferred: AWS Certified Developer – Associate or related AWS cert. • Any advanced courses in front‑end architecture, GraphQL, or data engineering are a plus.

Belfast, United kingdom

Hybrid

03-11-2025

Company Name

Revolution Technology Ltd

Job Title

Software Engineer (Back End)

Job Description

Job title: Software Engineer (Back End) Role Summary: Develop and maintain scalable backend services for a SaaS customer loyalty platform using Kotlin, JVM (Java 9+), and Spring Boot. Deliver high-performance solutions that integrate with third‑party systems, support campaign management features, and contribute to a fast‑growing, data‑driven product roadmap. Expectations: ・Strong proficiency in Kotlin and Java 9+. ・Deep experience with Spring Boot and JVM ecosystem. ・Ability to work in a fast‑paced, high‑performance environment and make sound trade‑offs. ・Excellent communication skills and proactive collaboration with cross‑functional teams. Key Responsibilities: • Design, implement, and maintain backend APIs and microservices supporting loyalty program features. • Write clean, testable, and documented code following best practices. • Participate in code reviews, performance tuning, and architecture decisions. • Collaborate with product, data, and frontend teams to translate business requirements into technical solutions. • Monitor, troubleshoot, and optimize system performance and reliability. • Stay current with industry trends and recommend tooling or architectural improvements. Required Skills: • Kotlin (proficient write and read). • Java 9+ and JVM fundamentals. • Spring Boot (core, data, web, security). • RESTful API design and implementation. • Unit, integration, and performance testing. • Git, CI/CD pipelines, and automated build tools. • Strong analytical and problem‑solving abilities. • Self‑motivated, high‑energy, and collaborative mindset. Required Education & Certifications: • Bachelor’s degree or higher in Computer Science, Software Engineering, or related field, or equivalent professional experience.

London, United kingdom

Hybrid

05-11-2025

Company Name

Revolution Technology Ltd

Job Title

Lead Data Scientist

Job Description

**Job Title:** Lead Data Scientist **Role Summary:** Lead end‑to‑end development of production‑ready machine‑learning solutions for energy trading and optimisation. Drive model design, deployment, and lifecycle management while guiding a cross‑functional data science team in a consultancy setting. **Expectations:** * 6‑month contract, 4 days onsite (London) & 1 day remote. * Deliver scalable, data‑driven trading models and optimisation tools. * Mentor junior data scientists and set best‑practice standards. * Collaborate closely with domain experts, QA, and DevOps to integrate models into production systems. **Key Responsibilities:** 1. Design, build, and validate advanced ML models (time‑series forecasting, classification, regression) for energy trading applications. 2. Develop end‑to‑end ETL/ELT pipelines and orchestrate workflows with Airflow, Dagster, or Prefect on AWS. 3. Deploy models as production services using MLOps practices, Docker containers, and managed AWS services (SageMaker, ECS/EKS, Lambda). 4. Conduct rigorous back‑testing against historical market data, evaluate performance, and refine strategies. 5. Provide actionable insights from complex, multi‑dimensional trade and market datasets. 6. Lead model monitoring, drift detection, and continuous improvement cycles. 7. Mentor peers, review code, and enforce coding standards and documentation. **Required Skills:** * **Programming & Frameworks:** Python, scikit‑learn, TensorFlow/PyTorch, Airflow/Dagster/Prefect. * **MLOps & Deployment:** Docker, Kubernetes/EKS or ECS, AWS services (SageMaker, Lambda), CI/CD pipelines. * **Domain Knowledge:** Utilities, power markets, energy trading mechanisms, asset classes. * **Analytics:** Time‑series modelling, statistical forecasting, back‑testing, feature engineering for high‑frequency data. * **Data Engineering:** Design and maintain ETL/ELT pipelines, data lake concepts, SQL & NoSQL databases. * **Leadership & Communication:** Proven ability to lead projects, mentor staff, and translate business requirements into technical solutions. **Required Education & Certifications:** * Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, Applied Mathematics, or related field. * Professional certifications (e.g., AWS Certified Machine Learning – Specialty, Certified Data Scientist) are advantageous but not mandatory.

London, United kingdom

Hybrid

Senior

06-11-2025