One of Europe's most exciting Analytics software companies is looking to hire a MachineLearning Engineer. If your a MachineLearning expert, and are interested in working on automation, AI, NLP & Data Visualisation software products for big corporates then this role might be for you. You will join a rapidly expanding team of experts providing … valuable solutions to some of the world's biggest organisations around Risk Management & Cyber Security. Strong STEM degree, ideally MSc level & above Good knowledge & Experience of MachineLearning Algorithms Strong Software Engineering skills - ideally Python Ability to articulate how you have solved complex problems in the past through technical solutions You will join a hugely talented team of … MachineLearning Engineers, and an employer committed to Employee wellbeing. Regular Mental health, fitness & yoga sessions are a part of the working day as well as regular company away days. Apply now to the MachineLearningEngineer role by clicking on the link and uploading either your CV or an Executive Bio. More ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Somerset Bridge
MachineLearning Operations Engineer Department: SBL Data Engineering Employment Type: Permanent - Full Time Location: Bristol Compensation: Competitive Package Description The MachineLearning Operations Engineer will support the development and maintenance of the ML Ops platform for Project Pegasus. This role involves building and maintaining the data infrastructure required for the platform, developing API services More ❯
Control & ML Engineer Paris, France (1/2 days a week remote) CDI, Permanent Position €50k+ 5V Tech is collaborating with a pioneering company at the cutting edge of robotics and medical technology. This fast-growing organisation is developing next-generation wearable devices designed to enhance mobility and independence for individuals with limited movement. They're now looking for … a Control & ML Engineer to join their talented R&D team in Paris, working on advanced algorithms that drive real-world impact. This is a unique opportunity to blend robotics, AI, and applied mathematics in a purpose-driven environment. What you'll be doing: Designing and improving control algorithms using techniques such as linear, nonlinear, and model predictive control … Training hybrid and end-to-end policies using reinforcement learning Developing accurate simulation models and enhancing system realism Writing efficient, production-level code in both C++ and Python Building algorithms for state estimation and motion trajectory optimisation Participating in real-world testing with hardware teams on robotic systems What we're looking for: Masters Degree or PhD in Control More ❯