Top Tech Jobs & Startup Jobs

Legal Counsel will manage commercial contracts, including drafting and negotiating MSAs, NDAs, and DPAs; oversee contract repositories, obligations, renewals, and governance; and develop AI-enabled legal workflows and review playbooks. The role also provides advice on employment law, GDPR, compliance, and corporate governance while partnering with sales, finance, and delivery teams. Candidates need solicitor qualification, 3–6 years PQE, commercial technology or professional services contracting experience, contract management expertise, and strong drafting, negotiation, analytical, and communication skills.

Coordinate regional HR operations across the employee lifecycle, including employee relations administration, employment contracts, compliance, payroll, HRIS data, absence management, immigration and relocation, benefits, onboarding, offboarding, and employee support. The role partners with regional People Business Partners and global People Operations teams, maintains accurate records, supports mandatory training and engagement events, and ensures legal compliance across multiple countries.

Lead Datatonic’s global Learning and Development strategy, building Google Cloud, AI, and consulting capabilities across technical and non-technical teams. Commercialize internal training products through the Datatonic Academy, support Google Cloud Authorised Training Partner activities, and drive customer education. Oversee learning pathways, certification programs, hackathons, content, incentives, apprenticeships, graduate schemes, and strategic training initiatives while influencing executives, engineers, sales teams, and enterprise clients.

Lead DevOps pipeline design and implementation, advise clients on DevOps best practices, establish DevOps functions, and engage stakeholders to ensure seamless delivery across projects.

Drive strategic revenue and transform enterprise client relationships through long-term engagements, navigating challenges and delivering measurable business value.

Lead and implement end-to-end ML solutions: translate vague requirements into models, run ML experiments, apply GenAI, design ML architectures on Google Cloud, build production-grade code, handle MLOps, data engineering, optimization, deployment, and client-facing project leadership.

Senior Enterprise Account Executive responsible for building and closing large, outcome-led Data/AI/Cloud deals (£250k+), expanding and networking within Nordic enterprise accounts, conducting frequent on-site discovery, orchestrating internal technical resources, and moving accounts from tactical conversations to strategic, transformational programs while preparing for a leadership transition.

As a Machine Learning Engineer, you will develop ML models, optimize solutions, automate workflows, and design ML architecture while ensuring high-quality production software delivery.

The Account Executive will drive sales, develop strategies for business growth, manage accounts, and lead collaborations with clients and teams in the insurance sector.

The Senior Google Cloud Architect will design architectures for cloud projects, engage with customers for pre and post-sales support, and lead innovative AI and data solutions.