Tact

About the Company

Tact was founded at the beginning of 2021, fuelled by a passion to keep recruitment simple yet effective.

Since then, with our process-driven and people focussed approach, we've continued to grow our team with like-minded individuals who are experts in connecting good people. Businesses seem to love what we do as well, rating us as "world class" when it comes to delivering.

Alongside connecting Tech Leaders and Talent Managers with outstanding candidates, fast, we are also passionate about giving back to the Tech community through our podcast, Tact Talks and our DevLaunchPad initiative.

We hire people within Development, Infrastructure, Cloud, Delivery, Data and Testing, basically anyone involved in the SDLC.

Our mission is simple..to create a world where everyone gets their dream job. If you are looking for a change, or interested in hearing about our amazing opportunities then get in touch!

Alternatively, if you are an organisation looking for the best candidates, contact us today.

Listed Jobs

Company Name

Tact

Job Title

Senior Software Engineer

Job Description

**Job title:** Senior Software Engineer – Deepfake Detection **Role Summary:** Architect and deliver end‑to‑end deepfake detection solutions that combine machine learning, cloud and on‑prem infrastructure. Lead the transition of research prototypes into production systems while ensuring performance, scalability, and reliability for high‑throughput real‑time environments. **Expectations:** Deliver production‑ready deepfake detection pipelines within an agile, senior‑staffed team. Own the entire lifecycle from integration of pre‑trained ML models to deployment and operational monitoring. Collaborate directly with technical leadership to shape product direction and maintain high engineering standards. **Key Responsibilities:** - Design, build, deploy, and maintain real‑time deepfake detection systems in cloud and on‑prem environments. - Integrate, fine‑tune, and optimize pre‑trained machine‑learning models for production workloads. - Engineer scalable, reliable data pipelines and APIs that support high throughput video and audio analysis. - Develop and maintain internal tooling to accelerate the research‑to‑product cycle. - Work closely with product and leadership to prioritize features, define milestones, and provide technical guidance. - Conduct performance profiling, capacity planning, and continuous improvement of existing systems. **Required Skills:** - 5+ years of full‑stack software engineering experience with a strong focus on backend services. - Expertise in Python and relevant frameworks (e.g., FastAPI, Flask, Django). - Proven ability to build and scale cloud‑native applications (AWS/GCP/Azure, Kubernetes, Docker). - Hands‑on experience deploying ML models to production (TensorFlow Lite, ONNX, PyTorch) and integrating them into micro‑service architectures. - Strong knowledge of system performance optimization, concurrent/distributed programming, and real‑time data processing. - Familiarity with CI/CD pipelines, automated testing, and DevOps practices. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience). - U.S. citizenship (required for potential security clearance).

San jose, United states

On site

Senior

13-11-2025

Company Name

Tact

Job Title

Product Owner

Job Description

Job Title: Product Owner Role Summary: Own the product backlog and drive the end‑to‑end delivery of product improvements for a tech‑driven e‑commerce business. Act as the bridge between business and engineering teams, translating operational needs into actionable work and ensuring timely, high‑quality releases that support growth and customer experience. Expactations: • Deliver measurable value through prioritized features and enhancements. • Own the product lifecycle from concept to launch, ensuring alignment with business strategy. • Maintain stakeholder engagement, communicating progress and gathering feedback continuously. • Foster a culture of continuous improvement and data‑driven decision making. Key Responsibilities: • Prioritize and groom backlog with clear, testable stories. • Define and document product requirements, acceptance criteria, and UX design expectations. • Collaborate with UX, frontend, and backend teams to deliver features that meet operational KPIs. • Translate complex supply‑chain, warehouse, and customer‑service processes into actionable development work. • Conduct sprint planning, reviews, and retrospectives in an agile framework. • Monitor release metrics, user feedback, and performance indicators to drive iterative improvement. • Coordinate with cross‑functional stakeholders (operations, logistics, customer service) to validate business value and feasibility. Required Skills: • Experience in supply chain, logistics, or customer‑service environments. • Strong understanding of warehouse operations and end‑to‑end fulfillment processes. • Ability to work across front‑end services and backend implementation. • Proven skill in breaking down complex operational requirements into clear, testable backlog items. • Familiarity with agile methodologies (Scrum, Kanban) and product‑management tools (Jira, Confluence). • Excellent stakeholder communication, negotiation, and facilitation skills. • Analytical mindset with proficiency in using data to inform decisions. Required Education & Certifications: • Bachelor’s degree in Business, Computer Science, Engineering, or related field. • Professional agile certification (e.g., Certified Scrum Product Owner, Agile Certified Product Manager) preferred.

Manchester, United kingdom

Hybrid

10-12-2025

Company Name

Tact

Job Title

Software Engineer (£50K/100% Remote)

Job Description

**Job Title** Software Engineer (React Frontend) – 100% Remote **Role Summary** Develop and ship high‑quality front‑end features for a greenfield e‑commerce project. Work within a cross‑functional team to deliver incremental value, maintain clean code, and adopt best practices in a fast‑paced environment. **Expectations** - Deliver functional UI components quickly and reliably. - Write maintainable, well‑tested code following industry standards. - Collaborate closely with product, design, and back‑end engineers. - Participate in code reviews, continuous integration workflows, and knowledge sharing. - Contribute to the growth of a new team focused on innovation and quality. **Key Responsibilities** - Design, develop, and deploy responsive React components using TypeScript. - Implement styling with CSS and Tailwind, ensuring consistency across the UI. - Write unit and integration tests; contribute to automated test suites. - Build and maintain micro‑frontend boundaries to support independent deployments. - Optimize performance, accessibility, and SEO of web pages. - Manage version control with Git; maintain clean pull‑request processes. - Participate in sprint planning, stand‑ups, retrospectives, and team events. **Required Skills** - Proficiency in React (hooks, context, advanced patterns). - Strong TypeScript fundamentals and type‑safe coding practices. - CSS and Tailwind CSS expertise. - Unit testing experience (Jest, React Testing Library). - Experience with micro‑frontend architectures and component composition. - Familiarity with CI/CD pipelines and modern build tools (Vite, Webpack, etc.). - Git version control. - Excellent communication and collaboration in a distributed environment. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or equivalent technical background. - No specific industry certifications required, though relevant training in React, TypeScript, or related frameworks is a plus.

Manchester, United kingdom

Hybrid

06-01-2026

Company Name

Tact

Job Title

Senior Machine Learning Engineer

Job Description

**Job Title** Senior Machine Learning Engineer **Role Summary** Lead the design, development, and deployment of machine‑learning solutions for innovative fintech products. Own end‑to‑end pipelines, collaborate with cross‑functional teams, and shape the AI roadmap for a rapidly growing organization. **Expactations** - Drive the full ML lifecycle from data ingestion to model serving. - Mentor junior engineers and influence team best practices. - Deliver high‑quality, production‑grade code and maintain robust monitoring. **Key Responsibilities** - Build and maintain efficient ETL pipelines for large‑scale data processing. - Implement and tune predictive models using PyTorch and Python. - Integrate vector databases and search functionality (e.g., OpenSearch). - Consume and adapt large‑language‑model APIs to solve domain problems. - Deploy models to AWS infrastructure, ensuring scalability and reliability. - Collaborate with data scientists, product managers, and DevOps to translate requirements into production systems. **Required Skills** - Strong proficiency in Python and PyTorch. - Deep understanding of the machine‑learning ecosystem (model training, validation, deployment). - Hands‑on experience with AWS services (SageMaker, Lambda, EC2, S3). - Proven ability to build and optimize ETL workflows. - Familiarity with vector databases and advanced search technologies. - Practical experience integrating LLMs via APIs. - Excellent problem‑solving, communication, and teamwork skills. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field. - Relevant certifications (e.g., AWS Certified Machine Learning – Specialty, PyTorch/Deep Learning certificates) are preferred.

London, United kingdom

Hybrid

Senior

12-01-2026