326 to 350 of 722 PhD Jobs in England

Collaboration & Integration: Partner effectively with teams across the autonomy stack (e.g., prediction, planning, simulation, hardware, ML infrastructure) to deliver seamlessly integrated and high-performing autonomous features Qualifications MS or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field Experience (typically 8+ years post-graduation) in machine learning, computer vision, or robotics, with significant work in perception More ❯

and co-develop AI solutions. Experiment with new tools, models, and techniques to keep Arm at the forefront of AI productivity engineering. Required Skills and Experience : BS, MS, or PhD or equivalent experience in Computer Science, Machine Learning, Engineering, or a related field. Production experience building LLM-powered applications and integrating them into larger systems. Hands-on expertise tuning and More ❯

architecture or product impact. You're based in (or happy to travel to) either Cardiff or London 2-3 days a week. Bonus points if you also have: A PhD (or equivalent research experience) in machine learning, computer vision, NLP, or a related field Experience with multi-modal models that combine vision and language Strong grasp of data-centric AI More ❯

a data scientist. You are a strong data scientist and you have experience owning data-driven projects to generate biological insights. You are a successful scientist. You have a PhD (or equivalent industry experience) in computational biology, bioinformatics, computer science, biochemistry, structural biology, physics, biophysics, bio/chem engineering, or a related field. Your research experience was in protein biochemistry More ❯

research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. Team video BASIC QUALIFICATIONS - PhD, or Master's degree and 6+ years of applied research experience - 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related More ❯

Promote knowledge and technology exchange with Teledyne e2v and other project collaborators and contribute to the wider research activities of the CEI, where required. Skills and Experience Essential: A PhD in Physics, Astronomy, Engineering, or a closely related subject, or equivalent experience in a related environment. Experience with working in a laboratory environment. Proficiency in coding in MATLAB, C/ More ❯

Proficient in the Android development toolset Strong understanding of Android architecture, UI/UX patterns, and app lifecycle Excellent communication and debugging skills Bachelor's or Master's/PHD in Computer Science or related technical field Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their More ❯

to streamline data capture from process equipments to enable model building and simulations. ALL ABOUT YOU BEng/MEng/MSc in Engineering (Chemical, Food, Mechanical, Control, Electrical). PhD is an asset. Strong experience in food process modelling and simulation tools (e.g., COMSOL, Aspen, gPROMS, CFD packages). Strong knowledge of Design of Experiment (DoE) Solid understanding of unit More ❯

best practices and fostering a culture of innovation, collaboration and continuous learning. About You You're a fit for the role of Lead Applied Scientist if your background includes: PhD in a relevant discipline or Master's plus a comparable level of experience, 7+ years of hands-on experience building NLP/IR systems for commercial applications, Experience writing production More ❯

you will also be offered the chance to support business development opportunities and cross-sector claims. We're looking for someone with: A recognised university degree (MEng, MSc or PhD) in a field of Information Technology or Computer Software, with a minimum of 3-4 years working as an R&D tax practitioner. Experience working with software clients or software More ❯

strategic solutions. Educated to university degree level or equivalent in a quantitative discipline such as finance, math, physics, computer science, econometrics, statistics, or engineering. Advanced degrees like MSc or PhD are a plus. Excellent programming skills, with experience in the financial services industry; proficiency in Python and C++ is required. Experience working on a Financial Resource Management (FRM) desk and More ❯

and promotes health & safety and the guidelines in all venues. Assumes any responsibilities delegated by the Head of Strategy or their designee. Education and Work Experience: A Masters or PhD level degree in a STEM discipline Experience in data analysis, numerical and statistical methodologies and their applications. Strong problem solving, logical thinking with research and reporting skills are essential. At More ❯

and promotes health & safety and the guidelines in all venues. Assumes any responsibilities delegated by the Head of Strategy or their designee. Education and Work Experience: A Masters or PhD level degree in a STEM discipline Experience in data analysis, numerical and statistical methodologies and their applications. Strong problem solving, logical thinking with research and reporting skills are essential. At More ❯

would be advantageous. Proven analytical skills in circuit simulation. Experience of working with Industry standard toolsets (e.g. DOORs). Required Education/Experience: BEng/MSc/MEng/PhD in Electrical/Electronic Engineering or similar, with appropriate specialisation in FPGA/Firmware/digital design techniques and embedded development. Candidates with other qualifications and relevant experience will be More ❯

strong quantitative and technical problem-solving skills, a drive to learn new ideas, and good judgment to deliver quick yet robust solutions. Basic Qualifications Bachelor's/MS or PhD in a quantitative field such as Applied Mathematics, Physics, Engineering, or Computer Science. Significant experience coding in an object-oriented programming language. Excellent written and verbal communication skills. Ability to More ❯

and statistical signal processing. Develop proof-of-concept prototypes and demonstrators. Produce high-quality technical reports, proposals, and presentations. Collaborate across interdisciplinary teams on cutting-edge topics. Skills & Experience: PhD (or equivalent industry experience) in a relevant discipline. Extensive post-doctoral experience applying AI/ML to time-series or sequential data. Strong Python skills and familiarity with frameworks like More ❯

Requirements Essential Qualifications: MSc in Computational Science or Machine Learning with a focus on Computational Biology (PhD preferred). Proven experience in biological data curation, organization, and management. Deep understanding of computational biology tools, methodologies, and best practices. Solid foundation in machine learning techniques and tools, with an emphasis on real-world applications. Proficient in Python programming. Familiarity with data More ❯

Requirements Essential Qualifications: MSc in Computational Science or Machine Learning with a focus on Computational Biology (PhD preferred). Proven experience in biological data curation, organization, and management. Deep understanding of computational biology tools, methodologies, and best practices. Solid foundation in machine learning techniques and tools, with an emphasis on real-world applications. Proficient in Python programming. Familiarity with data More ❯

Qualifications : 5+ years of experience in hardware engineering, with a focus on signal processing Bachelor’s degree in Electronics, Computer Science, Engineering, or a related field (Master’s or PhD preferred) Expertise in digital design, FPGA development, PCB design, and/or analog/RF signal filtering Proven ability to lead complex projects and mentor junior engineers Benefits : Competitive salary More ❯

an engineering approach to their work. This could include: defining test cases, software release plans, test strategies and automated scripting for tests. Requirements: 2.1 Bachelors + Master's/PhD in computer science, physics, maths or engineering (from a well-recognised university). Demonstrable experience in enterprise level software product testing (ideally of a maths modelling platform). Thorough understanding More ❯

internal design processes. Collaborate with suppliers to select technologies and support broader silicon validation, test, and qualification efforts. Qualifications Degree in Electronics, Physics, or related field (Master's or PhD preferred). Proven experience in analog and digital IC design, including physical design considerations and verification. Proficient in VHDL/Verilog and system-level modelling. Strong scripting skills (Python, MATLAB More ❯

for low-latency inference on accelerators. Improve training workflows and GPU utilization. Use data augmentation to improve performance.Stay updated on ML research to guide strategy. Requirements: Master's or PhD in a relevant field with strong ML foundations. Training ML models for production use.PyTorch or TensorFlow.Handling large datasets (multi-terabyte). Familiarity with Linux, version control, and CI/CD More ❯

Collaborate closely with cross-functional teams, including Safety, Regulatory Affairs, Categories and Business Units to ensure data requirements are aligned with strategic needs Your skills and experience: MSc or PhD in Epidemiology, Biostatistics, Health Data Science, or related disciplines Demonstrable experience working with public health or healthcare datasets Experience or good understanding of the use of social media data for More ❯

with cross-compiling, virtualisation, and Docker. Familiarity with Matlab and software engineering best practices. Strong communication and teamwork skills. Degree in Engineering, Software, Robotics, Physics, Maths, or equivalent experience. PhD is a plus but not required. Why Join? Outside IR35. Hybrid working. 12-month contract with strong chance of extension. Work on cutting-edge projects with a supportive team. Flexible More ❯

steer cutting-edge research efforts , identifying opportunities for impactful advancements. Collaborate with stakeholders across defence, space, and commercial sectors to align research with strategic goals. What You'll Bring: PhD in AI/ML or a related field , with over 10 years of experience in advanced research and development. Demonstrated leadership in R&D and engineering assurance across multidisciplinary teams. More ❯