a level suited to the audience QUALIFICATIONS Minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience. Technical acumen to develop and maintain ML systems used by the ML team. Experience with ML systems that are cloud-based and frequently More ❯
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 Engineering, Machine Learning, Robotics, Applied Mathematics or a similar field Strong background in robotics control systems and/or machine learning for real-time applications Proficient in Python More ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Pertemps
platforms Contributing to the design, verification, and deployment of mission-critical capability What we're looking for: Strong background in algorithm development - ideally with MATLAB or Python Degree or PhD in something technical Aerospace, Control Engineering, Maths, Physics etc. Experience in at least one of the following: Autonomous decision-making or flight control systems Navigation and tracking algorithms Real-time More ❯
BS32, Almondsbury, South Gloucestershire, Gloucestershire, United Kingdom Hybrid / WFH Options
Granite Consulting
and operate a hybrid working policy, with 3 days a week working from home. Relevant skills/experience: C++ or other object oriented programming language BSc/MSc/PhD in Computer Science or similar Mathematical skills An interest in algorithm development An understanding of complex data structures In return the company are able to offer: Flexible working hours Up More ❯
in machine learning and computational biology; prototype promising ideas and share findings with the team. Mentor colleagues in best practices for data engineering, modeling, and experimental design. REQUIRED QUALIFICATIONS PhD (or equivalent experience) in machine learning, computational biology, bioinformatics, computer science, or a related field, plus 3+ years of relevant experience. Demonstrated expertise applying deep learning to omics data at More ❯
In this role, you will contribute to the development of PIC verification solutions through internal R&D, collaborative research projects, and commercial engagements. Requirements Technical Skills & Experience: Ideally a PhD (or Master's with substantial experience) in Physics, Electrical Engineering, or a related discipline Demonstrated R&D or industry experience in photonic device validation and prototype development Hands-on expertise More ❯
chance to work on projects that genuinely push the boundaries. What you'll need: Strong programming background with experience in MATLAB Algorithm experience in a complex technical arena Ideally PhD qualified, or a technical degree (Aero, Mech, Control, Maths, Physics, etc.) with solid algorithm/navigation experience Good knowledge of real-time implementation, testing, and validation Some experience with state More ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Clarehill Associates Ltd
or Civil Engineering. Experience in offshore wind foundation design. Primary Steel Structure design engineering for Offshore Wind. Eg Jackets, Monopiles or TP Desirable Experience : Chartered/Masters/Relevant PhD an advantage Fabrication/T&I of Monopiles or Jackets or TP for OWF Loads Analysis eg offshore loading and dynamics of offshore wind turbine foundations. Fatigue, Dynamics, Wind, waves More ❯
and clinical teams to turn image insights into experimental and trial strategies. Share results through code, documentation, and internal presentations; mentor colleagues in vision and multimodal ML. REQUIRED QUALIFICATIONS PhD with 3+ years (or MS with 5+ years) of industry experience in Computer Vision, Machine Learning, Biomedical Engineering, or related field. Solid experience with deep learning for images, including self More ❯
Research Engineer AI This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company More ❯