Hadoop. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure. Understanding of ML algorithms, their development and implementation Confidence developing end-to-end solutions Experience with infrastructure as code e.g. Terraform, Ansible If you are a skilled Data Systems Engineer with the required More ❯
C# C++ OR Python OR LINUX Experience ? Offering excellent opportunities for further development and progression. The company is growing their work focused on marine autonomy and machinelearning, and need a software engineer to help us make this a reality. As a software engineer, you will be responsible for designing, developing, testing and prototyping various embedded control applications. More ❯
Employment Type: Permanent
Salary: £30000 - £45000/annum Opportunities for development
a role model. I didn't know anything about professional software development", he says. "That's why I was so interested in the program. It's like I'm learning a new language." Máté and his team in Budapest are responsible for the development of components in driver assistance systems. During tests, they are exposed to vibrations or extreme … for training. "We have offers for beginners and experts", he explains. These include online trainings as well as training courses for managers. To get started, there's the 'BCAI Learning Platform', where participants can complete virtual courses on their own. These include an introduction to statistics, neural networks and time series analysis. The expert programs are particularly intensive. Michael … the road, he says. "In ten years, mechanical engineering will no longer exist in its current form. Nothing will be sold there without software in the product", he says. "Machinelearning will be the standard then. So this is the right time to deep dive into it." Jasmin Dippert, Data Scientist "I was already programming in my studies More ❯
tech roadmap aligned with business goals. Digital Ecosystem Integration - Consolidate platforms and data into a unified, secure, and scalable architecture. Intelligent Automation & AI - Drive innovation through smart automation and machinelearning to enhance efficiency and reduce cost. Data as a Strategic Asset - Leverage data to improve compliance outcomes, customer retention, and decision-making. M&A Technology Leadership - Lead More ❯
bring solutions to life Helping upskill non-tech stakeholders across the Tax team Digging into processes, spotting inefficiencies, and automating the boring stuff Keeping up with emerging tech (AI, ML, RPA, etc.) and testing what actually works ?? What We're Looking For Proven experience with Python and SQL (data wrangling, automation, analytics) Understanding of tax or finance processes OR experience … you'll work closely with non-tech users) Bonus points if you have: Experience with Alteryx , Power BI , or data visualisation tools Knowledge of Agile , database design, or classic ML algorithms Certifications (e.g., ATT, Alteryx) or a data science background ?? What You'll Get Up to £65,000 + 26 days holiday (+ option to buy more) ?Why Join? You More ❯