SoTalent

About the Company

At SoTechTalent, we specialise in connecting forward-thinking tech companies with world-class talent. With deep expertise in SaaS, AI, Cybersecurity, Data and Fintech, we provide bespoke hiring and recruitment solutions tailored to help your business thrive. Whether you're scaling a startup or building a powerhouse team, we're here to make finding exceptional talent effortless and impactiful.

Listed Jobs

Company Name

SoTalent

Job Title

Full Stack Engineer (Newsroom)

Job Description

Job title: Full Stack Engineer (Newsroom) Role Summary: Provide end‑to‑end development for newsroom digital journalism tools, including interactive data visualisations and real‑time news applications. Deliver responsive, performant, and secure web experiences while collaborating closely with journalists, designers, and backend developers. Expectations: Produce high‑quality, test‑driven code within short iteration cycles; prototype rapidly; maintain a scalable codebase; influence technical direction and tooling decisions; stay current with storytelling trends and data‑driven journalism practices. Key Responsibilities: - Design, develop, and maintain front‑end web applications using React.js, Redux, D3, and optionally Svelte. - Build engaging data visualisations and interactive editorial experiences for digital platforms. - Prototype and iterate rapidly using lean methodologies and TDD. - Ensure codebase performance, scalability, and security. - Collaborate with journalists, designers, and backend developers to bring stories to life. - Shape technical direction and tooling across the software development lifecycle. Required Skills: - Strong JavaScript proficiency and experience with React/Redux, Svelte, and D3. - Proficiency in Node.js, npm, webpack, and modern build tooling. - TDD experience using Mocha, Cypress, CircleCI, or similar. - Familiarity with UI design tools such as Figma. - Solid understanding of web performance, optimisation, and security best practices. - Working knowledge of Python or R for backend scripting or data manipulation. - Experience with MySQL and NoSQL databases. - Comfortable working in Linux/Unix environments. Required Education & Certifications: Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience). No mandatory certifications required.

London, United kingdom

Hybrid

16-03-2026

Company Name

SoTalent

Job Title

Lead Machine Learning Engineer

Job Description

**Job Title:** Lead Machine Learning Engineer **Role Summary:** Leads the end‑to‑end development, deployment, and optimization of large‑scale personalization and recommendation systems. Guides cross‑functional teams, mentors junior engineers, and drives innovation in machine‑learning platforms to deliver low‑latency, high‑throughput solutions at global scale. **Expectations:** - Own the full ML lifecycle from concept through production monitoring. - Deliver high‑performing recommendation models that meet latency and scalability targets. - Foster collaboration with data scientists, product managers, and engineering peers. - Stay current with emerging ML/AI technologies and assess their applicability. - Mentor and develop junior engineering talent. **Key Responsibilities:** - Design, train, and fine‑tune recommendation, ranking, and user‑segmentation models. - Build and maintain robust data pipelines for feature extraction and model training on structured and unstructured data. - Deploy models to production environments, implement monitoring, and ensure reliability and performance. - Lead A/B testing and offline experiments to validate model impact. - Partner with product and business teams to align ML initiatives with user outcomes. - Research and prototype new approaches in deep learning, generative AI, and real‑time inference. **Required Skills:** - Expert proficiency in Python and ML frameworks (TensorFlow, PyTorch, or similar). - Strong experience with large‑scale data processing (e.g., Spark, Flink) and real‑time streaming architectures. - Deep knowledge of recommendation system algorithms and personalization techniques. - Proven track record deploying ML models at production scale with monitoring and CI/CD pipelines. - Familiarity with generative AI models and their production use cases. - Excellent problem‑solving, analytical, and communication abilities. - Demonstrated mentorship of engineering teams. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Electrical Engineering, Statistics, or a related quantitative field (Master’s or Ph.D. preferred). - Relevant certifications (e.g., TensorFlow Developer Certificate, AWS Certified Machine Learning – Specialty) are a plus.

London, United kingdom

Hybrid

Senior

18-03-2026