productivity Collaborate with IT and product teams to redesign and improve core business applications Mentor junior developers, fostering a culture of continuous learning and innovation Essential Skills: 5+ years’ software development experience, including significant legacy system modernization Relational database expertise (e.g., Microsoft SQL Server) Familiarity with REST APIs and cloud infrastructure Hands-on experience with AI-based developer tools … e.g., GitHub Copilot, ChatGPT, Tabnine) Strong leadership, communication, and collaboration skills Passion for clean code, softwarearchitecture, and continuous improvement Why Join Us? Competitive salary (£80,000+) and benefits package Opportunity to shape our technical direction and implement innovative solutions Collaborative and supportive team environment Chance to make a significant impact on a growing business More ❯
at these clients; 5.Demonstrate strong English proficiency in speaking and writing. A day in the life As you design and code solutions to help our team drive efficiencies in softwarearchitecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: • Build high-impact solutions to deliver … knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 7+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience - 10+ years of business development, partner development, sales or alliances management experience PREFERRED QUALIFICATIONS - 5+ years of building profitable More ❯
and accept suggestions Ability to work on multiple data science projects and manage deliverables What we offer Solid understanding of computer science fundamentals, data structures, algorithms, data modelling and softwarearchitecture Solid understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.), state-of-the-art areas (e.g. NLP, Transfer Learning) and modern Deep Learning More ❯
remote candidate to work in Europe. Key Job Requirement: 5+ years in mobile engineering experience Experience with cross-platform mobile frameworks React Native or Expo. Strong understanding of mobile softwarearchitecture (iOS/Android) including backend. Ability to lead projects and teams from scratch, make important architecture decisions. Bonus for experience with regulated industries (medical, financial, GDPR More ❯
to work autonomously. The role will require experience of interpreting customer specifications to develop comprehensive designs and scope packages for individual disciplines including panel design, hardware configuration, field equipment, software configuration, graphic packages as well as installation and commissioning scope. Candidates must also be prepared to work flexibly as part of the team and be pro-active with modern … and Mechanical systems and plant knowledge, BMS system design - Development of the full design from initial scope to handover documentation, Author BMS control system strategy documents, BMS hardware and softwarearchitecture development and best practice, Preferably have knowledge of leading manufactures equipment/systems i.e. Siemens, Honeywell, Trend etc. Competence Minimum HNC qualification in relevant discipline, Must be … and equipment, A detailed understanding of specialist building systems including BMS, Electrical, Mechanical, fire safety and the BMS aspects of building networks. Experienced in BMS/control system design, software configuration, graphic generation, control panel design, Knowledge of PLC's, stand-alone controllers, and energy/power control systems, Experience in coordinating BMS disciplines with multiple external suppliers and More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Sanderson
Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and softwarearchitecture Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc. More ❯