1 to 25 of 372 PhD Jobs in London

and a fast pace of delivery. Experience working with CI/CD in an agile team. Strong positive attitude towards both success and failure. PhD in related subjects. Extensive machine learning research background and experiences. Academic publications in machine learning related conferences or journals. ML product development experiences for content More ❯

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 ❯

internal and external stakeholders; Work as part of a multidisciplinary team; Be involved in hiring and team growth. Essential skills and experience MSc or PhD equivalent experience in Bioinformatics, Biochemistry, Computer Science or a related subject; 2+ years' experience delivering bioinformatics and ML based solutions to the industry; Strong experience More ❯

communicate the results and insights of machine learning projects Required Skills & Qualifications: 3-5 years of hands-on professional experience. Master's degree or PhD research may contribute to this experience. Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or related field Proficient with one or more More ❯

Ability to provide creative and innovative approaches to problem solving. Ability to work independently and within a collaborative team environment. Desired Qualifications: Masters or PhD in Machine Learning/Data Mining/Statistics. Experience in building advanced Information Retrieval or Question Answering systems using NLP and Generative AI techniques (e.g. More ❯

hosting and deploying GenAI/ML solutions in production (e.g., for training, fine tuning, and inferences) PREFERRED QUALIFICATIONS - AWS Professional level certification - Masters or PhD degree in computer science, or related technical, math, or scientific field - Strong working knowledge of deep learning, machine learning and statistics - Experience related to AWS More ❯

/statistical modeling data analysis tools and techniques, and parameters that affect their performance. Experience applying theoretical models in an applied environment. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. Experience with machine learning/statistical modeling 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 ❯

or cloud platforms (e.g., AWS, GCP ) Comfortable working with both SQL and NoSQL databases Experience in an Agile development environment Degree (BSc, MSc, or PhD) in Computer Science, Engineering , or a related field Bonus points for knowledge in machine learning, AI , data engineering , or DevOps/containerization GCS is acting More ❯

opportunities Provide direction and mentoring to more junior data scientists REQUIRED SKILLS: Degree in a quantitative field such as mathematics, statistics or data science (PhD in physics highly desirable) Experience of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science More ❯

and reproducibility. Publish research papers in internal and external venues of repute. Support on-call activities for critical issues. Basic Qualifications Master's or PhD in computer science, statistics or a related field. 5+ years experience in deep learning, machine learning, and data science. Proficiency in coding and software development More ❯

and recommend tools, frameworks, and technologies to enhance capabilities. Adhere to data governance and privacy policies to ensure compliance. WHO YOU ARE Masters or PhD in Computer Science, Mathematics, Statistics, Physics, Economics, or related fields. Experience analyzing large datasets. Understanding of data fusion, enrichment, and synthetic methodologies. Strong analytical skills More ❯

and attention to detail, with a strategic perspective. Creative and innovative problem-solving skills. Ability to work independently and collaboratively. Desired Qualifications: Masters or PhD in Machine Learning, Data Mining, or Statistics. Experience developing advanced Information Retrieval or Question Answering systems using NLP and Generative AI (e.g., RAG, GraphRAG). More ❯

programming skills in Python Excellent communication skills Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Master's or PhD in Computer Science Some experience with MLOps would be very beneficial. Experience with building search applications using Azure Search, Sinequa, Elastic or anything Lucene-based More ❯

/ML, blockchain, multi-band IoT. Track record of successful fundraising or technical due diligence for grant funding and other investors. Relevant MS or PhD degrees. Proven experience in Agile, Prince 2 Agile and Scrum methodologies. Experience in Generative AI and various LLM implementations. More ❯

ML models. Stay up-to-date with the latest data engineering technologies and best practices. Mandatory Requirements Technical skills: A university qualification (Bachelors, Masters, Doctorate) with at least two years of university study in Computer Science, Informatics, Data Science, Engineering, or related fields. Experience in data engineering, with a focus More ❯

to convey complex technical concepts to non-technical audiences. Proven track record of delivering high-impact analytical projects that drive business value. Preferred Qualifications PhD in a quantitative discipline or MBA with a focus on analytics. Experience in the real estate, facilities management, or related industries. Certification in relevant areas More ❯

in fast moving AI, ML or high growth environments, such as startups, research labs, or AI-driven product teams. Bachelor's, Master's, or PhD in Computer Science, Mathematics or a related field. Nice to Haves: Experience with LLMs, NLP, or synthetic data generation. Familiarity with Rust or C++ for More ❯

you will be involved in product decisions and coordination between teams that go into the above process. Requirements Technical Skills: University qualification (Bachelors, Masters, Doctorate) with at least two years of university study in Computer Science, Informatics, Data Science, Engineering, or related Experience (classroom/work) in Machine learning, Natural More ❯

mentoring, and training. Be an NLP expert About You: You're a fit for the role of Senior Applied Scientist if your background includes: PhD in a relevant discipline or Master's plus a comparable level of experience 5+ years of hands-on experience building NLP/ML/Knowledge More ❯

Automate Ops workflows to enhance self-service capabilities for merchants and consumers, improving service quality and cost efficiency. What we're looking for: Education: PhD or Master's in Computer Science, AI, Machine Learning, or related field. Experience: 7+ years in AI/ML development, with expertise in Python, TensorFlow More ❯

hidden patterns and signals within the markets. Company: OPUS (Rec.) Qualifications: Useful skills to possess: - Commercial data science experience - Machine learning - SQL - MSc or PhD preferred in either of the following areas: statistics, physics, mathematics, Computer Science, or Engineering - Creating customer segmentation models - Knowledge of SAS - Data Mining - R/ More ❯

to advance our Data Science Toolbox and codify analytical methodologies for future deployment. Your qualifications and skills Master's degree with 5+ years or PhD degree with 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research Experience in client delivery with direct More ❯

and reproducibility. Publish research papers in internal and external venues of repute. Support on-call activities for critical issues. Basic Qualifications Master's or PhD in computer science, statistics or a related field or relevant science experience (publications/scientific prototypes) in lieu of Masters. Experience in deep learning, machine More ❯

and reproducibility. Publish research papers in internal and external venues of repute. Support on-call activities for critical issues. Basic Qualifications: Master's or PhD in computer science, statistics, or a related field. 2-7 years of experience in deep learning, machine learning, and data science. Proficiency in coding and More ❯