22 Data Science jobs in Cambridge

• Assist in collecting, cleaning, and transforming large datasets from various sources.
• Perform exploratory data analysis to identify patterns, trends, and anomalies.
• Develop and implement statistical models and machine learning algorithms for predictive analytics.
• Evaluate model performance using appropriate metrics and provide insights for improvement.
• Collaborate with senior data scientists and engineers on data-related projects.
• Document methodologies, code, and findings clearly and concisely.
• Contribute to the development of data visualizations and reports to communicate findings to stakeholders.
• Stay updated on the latest advancements in data science and machine learning.
• Participate in team meetings and present project progress.
• Adhere to data privacy and security best practices.

• Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Strong foundation in statistical concepts and data analysis techniques.
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., pandas, scikit-learn, TensorFlow).
• Familiarity with database querying languages (e.g., SQL).
• Excellent analytical and problem-solving skills.
• Strong communication and teamwork abilities.
• Eagerness to learn and adapt in a dynamic, remote setting.
• Understanding of machine learning concepts is highly desirable.

AI/ML and Data Science Developer

Hybrid - Stevenage 3/4dpw

£70,000 - £80,000

About the Role:

We are looking for an AI/ML and Data Science Developer to join a growing team working on cutting-edge Generative AI and Data Science solutions. This role offers the opportunity to design, develop, and deploy advanced AI/Machine Learning models, including Large Language Models (LLMs) and GenAI, while working with diverse datasets and modern deployment technologies.

You’ll play a key role in data processing, model fine-tuning, and deployment , helping to shape innovative solutions that make a tangible impact.

Key Responsibilities:

• Design, develop, and deploy AI/Machine learning models and solutions, including LLMs and GenAI.
• Fine-tune and evaluate open-source LLMs, applying techniques such as prompt engineering and model re-tuning.
• Work with a variety of structured and unstructured datasets, handling preprocessing, cleaning, and feature engineering.
• Develop pipelines for creating, preparing, and optimising data for modelling.
• Deploy models to production using containerisation tools (Docker, Kubernetes) and ensure scalability, robustness, and monitoring.
• Research and apply the latest advancements in Generative AI and data science.
• Support model evaluation, logging, and performance tuning across GPU-based environments.
• Collaborate with stakeholders to gather requirements and deliver solutions aligned to business needs.
• Document workflows, data pipelines, and model processes for knowledge

This is a fantastic opportunity to join market-leading UK AI company, Luminance. Named in Tech Nation’s prestigious Future Fifty list and the recipient of two Queen’s Awards, Luminance is the world’s most advanced AI technology which is disrupting the legal profession.

Luminance is looking for dedicated and enthusiastic individuals with a strong academic background in Artificial Intelligence or a related field to join their R&D team based in Cambridge, UK. Successful candidates will be part of a small, dynamic team responsible for: prototyping, building and implementing new approaches to AI problems; and determining output quality, efficiency, and feasibility compared with other techniques in a data-driven manner.

This role is open to both graduates with a willingness to learn the desired skills, and more senior candidates with proven, prior experience in them.

If you are excited about this role but your skill or experience doesn’t perfectly align with the job description, we encourage you to apply anyway. At Luminance we are dedicated to building and promoting an inclusive workplace where everyone can flourish. You might just be who we’re looking for, for this role or another – enthusiasm is by far the most important requirement for any applicant to Luminance!

• Strong analytical skills and ability to approach tasks in a scientific manner
• Data science skills, including handling of large data sets, modelling and evaluation
• Good understanding of software engineering concepts, particularly with machine learning development
• Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn
• For more senior candidates:
• Understanding of, including published work within, related academic fields such as NLP, Computer Vision or Deep Learning
• Relevant industry experience with demonstrable impact in a commercial setting
• Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning, etc.)

Requirements

• Master’s degree or Postgraduate (preferred) qualification from a Top 200 Global University, preferably in a technical subject

• Lead and mentor a team of AI researchers and machine learning engineers.
• Define research roadmaps and identify strategic areas for AI innovation.
• Design and implement cutting-edge machine learning algorithms and models.
• Conduct rigorous experiments, analyze results, and draw scientifically sound conclusions.
• Develop and deploy AI solutions for various applications, ensuring scalability and efficiency.
• Stay abreast of the latest advancements in AI, machine learning, deep learning, and related fields.
• Collaborate with product teams to translate research findings into viable products and features.
• Publish research findings in top-tier AI conferences and journals.
• Secure research funding through grant applications and proposals.
• Develop and maintain strong relationships with academic institutions and industry partners.
• Oversee the ethical considerations and responsible development of AI technologies.
• Manage research budgets and resources effectively.

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 5 years of hands-on experience in AI research and development, with a proven track record in machine learning.
• Demonstrated expertise in various machine learning techniques (e.g., supervised, unsupervised, reinforcement learning) and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience leading research teams and managing complex projects.
• Strong publication record in leading AI conferences (e.g., NeurIPS, ICML, ICLR) or journals.
• Proficiency in programming languages such as Python and experience with relevant libraries (e.g., scikit-learn, NumPy, Pandas).
• Excellent analytical, problem-solving, and critical thinking skills.
• Outstanding communication and presentation abilities.
• Ability to conceptualize, design, and implement novel AI algorithms.
• Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
• Familiarity with natural language processing (NLP) or computer vision is desirable.

• Conduct cutting-edge research in machine learning, deep learning, and artificial intelligence.
• Develop, implement, and evaluate novel algorithms and models.
• Collaborate with a team of researchers and engineers to translate research into practical applications.
• Stay current with the latest advancements in AI and ML through literature review and conference participation.
• Design and execute experiments to test hypotheses and validate model performance.
• Publish research findings in top-tier conferences and journals.
• Contribute to the development of open-source AI libraries and tools.
• Mentor junior researchers and contribute to the team's knowledge sharing.
• Identify new research opportunities and develop innovative project proposals.
• Ensure ethical considerations and responsible AI practices are integrated into research.

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of research in machine learning, with publications in reputable conferences (e.g., NeurIPS, ICML, ICLR) or journals.
• Strong theoretical and practical understanding of deep learning concepts and architectures (CNNs, RNNs, Transformers, etc.).
• Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with cloud computing platforms (AWS, GCP, Azure) and distributed training is a plus.
• Excellent analytical, problem-solving, and algorithmic thinking skills.
• Strong communication and collaboration skills, with the ability to explain complex technical concepts.
• Ability to work independently and drive research projects forward.
• Experience with natural language processing (NLP) or computer vision is highly desirable.

• Lead the design and implementation of NLP models.
• Develop and deploy production-ready ML pipelines.
• Mentor and guide a team of ML engineers.
• Collaborate with stakeholders to define project requirements.
• Ensure the scalability and efficiency of NLP solutions.
• Stay abreast of advancements in NLP research and techniques.

• Master's or PhD in a relevant field.
• 7+ years of industry experience in Machine Learning/NLP.
• Expertise in Python, NLP libraries, and deep learning frameworks.
• Proven experience in leading ML projects.
• Strong communication and leadership skills.

• Conduct cutting-edge research in machine learning and artificial intelligence.
• Develop, implement, and optimize deep learning models and algorithms.
• Design and execute experiments to validate research hypotheses.
• Analyze large datasets to extract insights and inform model development.
• Collaborate with engineering teams to integrate AI models into production systems.
• Stay abreast of the latest advancements in AI and machine learning research.
• Publish research findings in top-tier conferences and journals.
• Contribute to the strategic direction of the company's AI initiatives.

• Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related field.
• Proven experience in developing and deploying machine learning models.
• Strong programming skills in Python and experience with ML libraries (TensorFlow, PyTorch).
• Excellent understanding of algorithms, data structures, and statistical modeling.
• Experience with natural language processing (NLP) or computer vision is a plus.
• Strong analytical and problem-solving abilities.
• Excellent written and verbal communication skills.
• Ability to work independently and as part of a research team.

• Assist in collecting, cleaning, and preparing datasets for analysis.
• Develop and implement machine learning models under supervision.
• Perform exploratory data analysis and visualize findings.
• Evaluate model performance and provide insights for improvement.
• Collaborate with senior data scientists on research projects.
• Document methodologies and findings clearly.
• Participate in team meetings and contribute to discussions.
• Learn and apply new data science techniques and tools.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• Foundational understanding of machine learning concepts and algorithms.
• Proficiency in Python or R programming.
• Familiarity with data science libraries (e.g., Pandas, NumPy, scikit-learn).
• Basic knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Eagerness to learn and a proactive attitude.
• Ability to work effectively in a remote team environment.