126 to 150 of 692 PhD Jobs in England

efforts from prototyping through to production deployment on customer infrastructure. Ideal Candidate Profile Experience Bachelor's degree in Computer Science, Machine Learning, or a related field (Master's or PhD preferred). 8+ years in AI/ML, including several years in technical leadership roles. Proven success leading large ML teams and delivering complex AI solutions at scale. Experience with More ❯

conferences, and scientific workshops. Fosters a culture of continuous learning, constructive collaboration, and innovation within the team, collaborating on tasks and projects to ensure deadlines are met. MSc or PhD in Computer Science/Engineering, Data Sciences, Artificial Intelligence/Machine learning, Bioinformatics, Biostatistics or any other computational quantitative science Minimum of 2-5 years of developing technical solutions for More ❯

both technical and non-technical stakeholders. Demonstrated commitment to continuous learning, staying current with state-of-the-art research and applying emerging AI techniques to solve business problems. Desirable: PhD or equivalent qualification and experience in Machine learning or AI/Computer Science Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems. More ❯

cross-functional teams is essential, as you’ll help shape the ML strategy and drive innovation in how healthcare behaviors are understood and acted upon. What You’ll Bring PhD in a quantitative or scientific field, with proven commercial experience as a Data Scientist or ML Engineer Exposure to behavioral or consumer data is essential, preferably in the Healthcare space More ❯

looking for Academic or Industrial experience in Operational Research, specifically combinatorial optimisation and/or graph theory Academic or Industrial experience with experimentation, simulation and statistical analysis MSc or PhD in a relevant discipline Experience working in an office environment, or as part of a team Python & SQL Analytical and problem-solving skills, with ability to move from ambiguity to More ❯

the team. About You: Bachelor's or Master's degree in Mechanical Engineering, Electrical Engineering, or a related field with an emphasis on multi-physics simulation and systems engineering; PhD preferred. Extensive experience in multi-physics systems engineering, including hands-on expertise in: Advanced modelling tools such as JuliaHub, MATLAB, Simulink, Dymola, and similar platforms for complex system simulations. Co More ❯

the team. About You: Bachelor's or Master's degree in Mechanical Engineering, Electrical Engineering, or a related field with an emphasis on multi-physics simulation and systems engineering; PhD preferred. Extensive experience in multi-physics systems engineering, including hands-on expertise in: Advanced modelling tools such as JuliaHub, MATLAB, Simulink, Dymola, and similar platforms for complex system simulations. Co More ❯

or similar). Demonstrated ability to work independently on real-world projects. Strong communicator, with the ability to share ideas, take feedback, and collaborate effectively. A master’s or PhD in a quantitative field (or equivalent real-world experience in data science or analytics). Bonus: experience in at least one of the following areas: Working with Marketing Mix Models More ❯

or similar). Demonstrated ability to work independently on real-world projects. Strong communicator, with the ability to share ideas, take feedback, and collaborate effectively. A master’s or PhD in a quantitative field (or equivalent real-world experience in data science or analytics). Bonus: experience in at least one of the following areas: Working with Marketing Mix Models More ❯

CI/CD for ML, model versioning, testing, and monitoring Design experiments (A/B testing, uplift modelling) to measure impact and optimize performance What We’re Looking For PhD background in a relevant field Proven commercial in data science, with a strong foundation in predictive modelling and machine learning Proven experience working with consumer behaviour data—ideally within healthcare More ❯

from all data and analytics programs. What you'll need to be successful Required Qualifications: - Degree educated in Computer Science, Data Science, Engineering, or related field; Master's/PhD preferred. - 10+ years in data strategy, analytics, or ML/AI leadership roles. - Proven experience with platforms like Snowflake, Databricks, Microsoft Fabric, etc. - Deep expertise in data architecture, pipeline orchestration More ❯

from all data and analytics programs. What you'll need to be successful Required Qualifications: - Degree educated in Computer Science, Data Science, Engineering, or related field; Master's/PhD preferred. - 10+ years in data strategy, analytics, or ML/AI leadership roles. - Proven experience with platforms like Snowflake, Databricks, Microsoft Fabric, etc. - Deep expertise in data architecture, pipeline orchestration More ❯

and representing InstaDeep in conferences/events. Requirements: At least 2 years of experience in machine learning, and deep learning (natural language processing and computer vision) in industry. Master, PhD degree or equivalent experience in applied mathematics, computer science, bioinformatics or related scientific fields. Proficiency in software engineering (Python, Pytorch, JAX, Docker, Linux). A willingness to learn and develop More ❯

both technical and non-technical stakeholders. Demonstrated commitment to continuous learning, staying current with state-of-the-art research and applying emerging AI techniques to solve business problems. Desirable: PhD or equivalent qualification and experience in Machine learning or AI/Computer Science Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems. More ❯

at least one programming language (e.g., Python, Java, Scala), infrastructure as code, cloud platforms, and SQL. PREFERRED QUALIFICATIONS - Experience in a lead Data Architect role or similar Masters or PhD in Computer Science, Physics, Engineering or Math. - Hands on experience leading large-scale global data warehousing and analytics projects and ability to lead effectively across organizations. - Understanding of database and More ❯

be applied to new data with minimal effort Create clear and easy to understand reports. Verbally present analysis ideas, progress and results to colleagues. Qualifications Skills & Experience Masters/PhD in maths, science or analytics related discipline Solid programming experience ideally with Python and SQL Experience with data manipulation and validation as well as modelling or statistical techniques Excellent written More ❯

and Liaise as needed with our academic and industry partners in order to perform the above duties and support new business and product development. Ideally you'll have: A PhD (or equivalent industry experience) in physics, geophysics, electronic engineering, computer science, mathematics, or a closely related discipline; Experience performing data analysis, algorithmic development, and/or digital signal processing in More ❯

Work with Analytics to optimise portfolio value through data and modelling adjustments. Communicate insights to stakeholders, monitor model performance, and collaborate across teams and external partners. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience working with models in the Credit Risk/Lending space (Probability of Default, scorecard etc). Strong coding More ❯

Work with Analytics to optimise portfolio value through data and modelling adjustments. Communicate insights to stakeholders, monitor model performance, and collaborate across teams and external partners. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience working with models in the Credit Risk/Lending space (Probability of Default, scorecard etc). Strong coding More ❯

communication skills with ability to translate complex data insights for non-technical stakeholders Experience implementing data governance and compliance measures, particularly with GDPR and healthcare regulations Nice to have: PhD in a relevant field Experience with electronic health records (EHR) systems Knowledge of FHIR standards and healthcare interoperability Background in natural language processing for medical text analysis Experience with real More ❯

projects or products to customers Experience working collaboratively across organisations (e.g., industrial-academic collaborations, academic consortia, or cross-company collaboration) with demonstrable outcomes (publications or further funded work, etc.) PhD or equivalent experience in a biological subject area, with a strong focus on informatics and data analysis Detailed understanding of methods used in genomic data science, including experimental design, QC More ❯

to widely used open source libraries, significant product launches or high impact publications, e.g. at NeurIPS, ICML, ICLR or Nature venues. 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, synthetic biology or a related field. You are an experienced molecular More ❯

implementing and scaling analytics platforms in complex organizations. Strong leadership and team management experience. Project management experience, including managing multiple complex projects and budgets. Preferred Qualifications Advanced degree (MS, PhD, or MBA) in a relevant field. Strategic thinker with a strong grasp of operational realities in clinical development. Proven ability to build or evolve control tower or performance management capabilities. More ❯

machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit More ❯

non-experts - Promote Data Science across the business Company: ISL (Rec.) Qualifications: To be considered for this Lead Data Scientist role you will need to have: - A Masters or PhD in a relevant discipline such as Computer Science, Statistics, Applied Mathematics, or Engineering - Strong experience with Python and R - A strong understanding of a number of the tools across the More ❯