15 of 15 Permanent Physics Jobs in the Thames Valley

Have Experience in machine learning (research or applied) Probabilistic modelling or Bayesian methods Exposure to scientific or experimental datasets Interest in biology, chemistry, physics, or drug discovery Candidates at a range of levels will be considered, from exceptional recent graduates to PhD or industry-experienced researchers. The level of ownership ...

technological challenges of our time? We are a pioneering UK-based deep-tech company developing next-generation solutions at the cutting edge of advanced physics, simulation, and machine learning. Our work is focused on unlocking scalable, clean energy through breakthrough approaches, supported by world-class computational capabilities and innovative engineering. ...

modules, and integrate everything into automated cloud-based workflows. Key requirements for Software Engineer: A high calibre degree in Mechanical Engineering, Computer Science or Physics from a top University Excellent technical skills with C++ or C#, and Python with several years demonstrable commercial industry experience Natural problem-solver with eagerness ...

technical challenges including solution finding, debugging and testing Experience producing technical documentation such as reports, design documents and installation guides MSc or PhD in Physics, Engineering or a related discipline. If you thrive on technical complexity and want to work at the intersection of multiple engineering disciplines, we'd love ...

Strong background in computer vision and/or machine learning with solid theoretical foundations PhD strongly preferred (Computer Vision, Machine Learning, Robotics, Mathematics, Physics, or similar) Track record of academic excellence , ideally from a top-tier university Additional postdoctoral or research experience is highly valued Evidence of rigorous thinking through ...

teams What We’re Looking For Were looking for a strong Systems engineer OR IVVQ Engineer, Essential Experience: Degree (or equivalent) in Engineering, Mathematics, Physics, or relevant Defence/Aerospace experience Strong background in Systems Engineering and lifecycle development (V-model and related methodologies) Proven experience delivering high-quality requirements ...

same level of gusto. Contact me for a full job spec and client info What You'll Need: A strong engineering-bias degree — Physics, Chemistry, Material Science, Nanotechnology, or similar Proven Senior PM/Programme Manager track record across multiple companies and sizes — including start-up environments, not just corporate ...

experience at graduate level or beyond in either C, C++, C#, Java, Python or Matlab You will will have an excellent first degree in Physics or Maths (1st/2.1) A PhD in a computational physics/electronics or related discipline will be advantageous. Proven object oriented software skills … C++ or more years of postdoc or commercial experience in numerical techniques will be advantageous Specific knowledge of electromagnetism, semiconductor device physics experience will be useful. ...

their products/systems. - You will have a strong Agile/Scrum background - Must have excellent C/C++ and C# programming skills. - Physics orientated background Responsibilities for the Principal Embedded Software Engineer job will include: - The role will be responsible for design and architecture of software ...

their products/systems. - You will have a strong Agile/Scrum background - Must have excellent C/C++ and C# programming skills. - Physics orientated background Responsibilities for the Principal Embedded Software Engineer job will include: - The role will be responsible for design and architecture of software ...

paced environment . Has an interest in technology (technical background is a bonus) . A degree in a technical or numerical subject (e.g. maths, physics, engineering, computer science, or related technical or quantitative field ) would be advantageous but is not essential. This is a hybrid role offering flexibility, training ...

industrial automation, sensing, imaging, or other high-precision technology environments . You will play a key role in shaping products where software, firmware, electronics, physics, and instrument performance all come together. That means translating physical principles and user needs into robust architecture, embedded control, algorithms, and production-ready applications. This … role is particularly well suited to someone who has grown up in a scientific, instrumentation, controls, or physics-led engineering environment and is comfortable leading multidisciplinary technical teams. What you will do Lead the software technical strategy for advanced scientific and analytical instrumentation Define architecture across the stack, from embedded ...

thinking that could redefine how complex problems are solved. The kinds of advances that have shaped our world, from artificial intelligence to breakthroughs in physics and computational science, all started with individuals willing to take on problems that felt just out of reach. This opportunity sits firmly in that space. ...

Build The Data Foundation. Then Build Predictive Models Most data engineering roles stay data engineering roles. This one won’t. You studied maths, stats, physics, or maybe even Operations Research. You only took a data engineering job because it was the sensible move and there weren't many opportunities available … rarely match. What you’ll need Strong SQL, Python, and Spark/PySpark skills Experience in data pipeline design A quantitative degree - Maths, Stats, Physics, Operations research About the company You'll be working for one of the world's leading research-driven pharmaceutical companies, with 140 years of heritage. ...

based around Milton Keynes/Northampton. Due to the nature of this work, we are only considering candidates who have a PhD in either physics, mathematics, or engineering. Summary: Learn, operate and develop investment planning models, supporting our client's strategic and business planning processes, including bespoke analysis where required … communicate complex analytical concepts and provide context for appropriate use of model outputs. Essential: PhD in a numerate discipline or equivalent experience (e.g. physics, applied mathematics, engineering) Experience of working in a peer‐reviewed environment Experience of working to demanding timescales ...