1 to 25 of 160 Permanent PhD Jobs in Berkshire

order to build scalable algorithmic solutions to hard problems from the ground up Enthusiasm to learn and contribute to a culture of learning Advantageous - PhD (in a highly quantitative field) What we offer Competitive salary Generous annual leave allowance, excellent benefits package including salary sacrifice car scheme More ❯

custom AI services for business since 2017. Brainpool network of 500 top-level AI and Machine Learning experts supporting delivery of our projects include PhD and MSc-level scientists from top universities such as UCL, Oxford, Cambridge and Harvard. Brainpool provides companies with end-to-end AI solutions, starting from More ❯

custom AI services for business since 2017. Brainpool network of 500 top-level AI and Machine Learning experts supporting delivery of our projects include PhD and MSc-level scientists from top universities such as UCL, Oxford, Cambridge and Harvard. Brainpool provides companies with end-to-end AI solutions, starting from More ❯

all levels of the business. Deep proficiency in core analytical techniques and a proven track record in delivering data science and analytics projects. A PhD in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field. Extensive experience in a data science and analytics role using tools More ❯

Collaborate with stakeholders to integrate data science across the business. Communicate insights through clear storytelling and visualisation. What We’re Looking For MSc/PhD in Data Science, Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP More ❯

managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but not essential. If this role looks of More ❯

managing client relationships. A degree in a relevant field such as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but not essential. If this role looks of More ❯

for core components of the platform Contribute to novel research and publish at top conferences when opportunities arise What You'll Have MSc or PhD in Machine Learning, Computer Science or a related field 5+ years of experience in ML engineering, MLOps and/or backend/infra-focused roles More ❯

strategy. Desirable Exposure to high-frequency or systematic trading environments. Familiarity with cloud platforms (AWS, GCP) and containerized ML deployment (e.g., Docker, Kubernetes). PhD or Master’s in AI, Machine Learning, Applied Mathematics, Computer Science, or related field. What We Offer Strategic leadership role with direct influence on trading More ❯

through reports, presentations, and scientific publications to both internal and external stakeholders. Build and maintain collaborations with academic institutions and industry partners. Must Haves: PhD in Computer Science, Bioinformatics, Computational Biology, Physics, or a related field. Professional hands-on experience with pretraining or fine-tuning foundation models for computer vision More ❯

systems, data engineering, and machine learning. Relevant publications in top tier applied machine learning conferences is a plus You have a Master’s or PhD in ML, statistics, or an engineering field with 8+ years of experience Where you’ll be? Fully remote within the UK or a European time More ❯

is expected to last at least a year with scope to become permanent based on success. Can be 3 days a week alongside a PhD, Research Masters or equivalent if necessary for the right candidate. We expect more work to be available during and post the year given the success More ❯

Work with large datasets to build scalable and efficient ML solutions. Conduct experiments, evaluate models, and continuously improve performance. Requirements: Education : BSc, MSc, or PhD in Computer Science, AI, Mathematics, or related field from a top-tier university ( i.e. Oxford, Cambridge, Imperial, UCL, Bristol, etc. ) Experience : At least 3+ years More ❯

/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or PhD in a quantitative field (e.g., Mathematics, Computer Science, Physics, Engineering, Statistics) Excellent communication skills and ability to work in a collaborative, performance-driven environment More ❯

Role: GenAI Architect Duration: long term Roles and Responsibilities: Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 8-10 years of experience in developing Data Science, AI More ❯

provide effective solutions. A strong data engineering background with hands-on coding capabilities is needed to own and deliver outcomes. A Master’s or PhD Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience, 7+ years of industry experience in predictive More ❯

fast-paced, collaborative environment with a high degree of autonomy. Excellent problem-solving skills and attention to detail. Preferred Qualifications Advanced degree (MSc/PhD) in a quantitative field such as Mathematics, Physics, Computer Science, or Financial Engineering. Experience with low-latency trading systems and real-time data processing. Familiarity More ❯

and cloud storage Strong communication skills with the ability to collaborate across technical and non-technical teams Desirable Experience Bachelor's, Master’s, or PhD in Computer Science, Mathematics, or a related field Familiarity with BI tools such as Looker for reporting and dashboarding Exposure to other environments such as More ❯

Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research) - OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND related experience (e.g., statistics, predictive analytics, research) - OR equivalent experience. - Proven experience More ❯

climate data Experience developing time series models Familiarity with data pipelines, MLOps, or cloud computing. Contributions to open-source or academic publications Masters or PhD Apply Please provide your CV and a short supporting statement (approx. half a page) summarising why you are suited to the role, and how you More ❯

Artificial Intelligence Software Development role with exposure to areas like computer vision, audio processing, and generative AI systems Ideally you will be educated to PhD level or you have experience working in a start-up environment Excellent academic history, ideally including a 2.1 or First in a STEM degree from More ❯

advertising domain (predictive modeling (CTR/CVR), multi-objective optimization, auction dynamics and behavioral targeting) is a plus You have a Master’s or PhD in ML, statistics, or an engineering field with 10+ years of industry experience in machine learning, including at least 5 years in large-scale systems More ❯

experience in Generative AI and Data Science Solid proficiency in Python and popular ML libraries Experience with cloud platforms (AWS, GCP, Azure) MSc or PhD is a plus Excellent communication and problem-solving skills Experience in the consulting world is also a plus. Requirements: Must be UK-based Unfortunately, visa More ❯

for large-scale data mining. Solid understanding of statistical foundations and mathematical modelling. Familiarity with cloud-based frameworks; Azure preferred. Advanced degree (MS/PhD) in Data Science, Computer Science, Statistics, Applied Math, or related field. Strong Points: Deep technical specialization in optimization, simulation, and applied math. Ability to translate More ❯

Candidate Requirements: Applicants must have a proven track record delivering successful systematic quantitative strategies (equities, futures, digital assets). Advanced degree (Master’s or PhD) in a quantitative field such as Data Science, Statistics, Mathematics, Physics, Engineering, or similar. Strong knowledge in statistics and experience with machine learning, NLP, or More ❯