10 Data Science jobs in Bristol
Lead Data Scientist - Predictive Analytics
Posted 2 days ago
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Job Description
Key Responsibilities:
- Lead the development and deployment of predictive models and machine learning solutions.
- Design and implement advanced statistical analysis and data mining techniques.
- Manage a team of data scientists, providing technical guidance and mentorship.
- Collaborate with stakeholders to identify business opportunities and translate them into data science projects.
- Clean, transform, and prepare large datasets for analysis.
- Evaluate and optimize model performance, ensuring accuracy and scalability.
- Communicate complex findings and recommendations clearly to diverse audiences.
- Stay abreast of the latest advancements in data science, machine learning, and AI.
- Contribute to the development of data governance and best practices.
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 7 years of experience in data science, with a focus on predictive modeling and machine learning.
- Proven experience in leading data science teams and projects.
- Expertise in Python or R, SQL, and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Experience with big data technologies and cloud platforms is highly desirable.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and presentation abilities.
Graduate Trainee Scheme - Data Science
Posted 3 days ago
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Job Description
Throughout this intensive program, you will:
- Receive in-depth training on data analysis techniques, statistical modeling, machine learning algorithms, and data visualization tools.
- Work on real-world projects, applying your learning to solve complex business challenges across different departments.
- Learn to extract, clean, and transform large datasets from various sources.
- Develop predictive models and machine learning solutions to drive business insights and improve decision-making.
- Collaborate with experienced data scientists, analysts, and business stakeholders.
- Gain proficiency in programming languages such as Python and R, and database management tools like SQL.
- Understand data governance, ethics, and best practices in data handling.
- Participate in workshops, mentorship sessions, and networking opportunities.
- Present your findings and project outcomes to senior management.
- Receive guidance on career development and specialization within data science.
- A Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Physics, Economics, or a related discipline.
- A strong academic record with excellent analytical and problem-solving skills.
- Demonstrated proficiency in at least one programming language (e.g., Python, R) and a keen interest in learning others.
- Familiarity with statistical concepts and methodologies.
- Excellent communication and presentation skills, with the ability to convey complex ideas clearly.
- A proactive attitude, a strong desire to learn, and the ability to work effectively in a team.
- A genuine passion for data and its potential to drive business value.
- Eligibility to work in the UK.
Lead AI Engineer - Machine Learning
Posted 1 day ago
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AI Solutions Architect, Machine Learning
Posted 2 days ago
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Job Description
Key Responsibilities:
- Design and architect scalable, high-performance AI and Machine Learning solutions.
- Develop end-to-end ML lifecycles, from data preparation to model deployment and monitoring.
- Evaluate and recommend AI/ML technologies, tools, and platforms.
- Collaborate with data scientists and engineers to implement and optimize ML models.
- Ensure the integration of AI solutions with existing enterprise systems and applications.
- Provide technical leadership and guidance on AI/ML best practices and emerging trends.
- Contribute to the development of AI strategy and roadmaps.
- Communicate complex technical concepts to stakeholders at all levels.
- Ensure ethical considerations and responsible AI principles are incorporated into designs.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Proven experience in designing and deploying AI/ML solutions in production environments.
- Strong understanding of machine learning algorithms, deep learning, NLP, and computer vision.
- Expertise in cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Proficiency in programming languages like Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Excellent analytical, problem-solving, and communication skills.
Principal Data Scientist, Machine Learning
Posted 2 days ago
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Job Description
Graduate Data Scientist - Machine Learning
Posted 2 days ago
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Job Description
Principal AI Research Scientist - Machine Learning
Posted 2 days ago
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Job Description
Key duties involve designing and implementing advanced machine learning architectures, including deep neural networks, reinforcement learning, and natural language processing models. You will identify strategic research directions, manage project timelines, and collaborate with engineering teams to transition research prototypes into production-ready systems. A strong publication record in AI/ML conferences (e.g., NeurIPS, ICML, CVPR) and a deep understanding of theoretical machine learning concepts are essential. You will also be responsible for staying at the forefront of AI research, evaluating new methodologies, and fostering a culture of innovation within the team. The ideal candidate will possess a PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a minimum of 8 years of post-doctoral research experience. Proficiency in programming languages such as Python and experience with ML frameworks like TensorFlow or PyTorch are required. Exceptional analytical and problem-solving skills, coupled with strong leadership and communication abilities, are critical for success. This hybrid position combines focused research work with collaborative sessions, offering flexibility while ensuring close engagement with the team in Bristol .
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Senior AI Solutions Architect - Machine Learning
Posted 2 days ago
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Job Description
Responsibilities:
- Design and architect end-to-end machine learning solutions, from data ingestion and pre-processing to model deployment and monitoring.
- Collaborate closely with clients to understand their business needs and translate them into technical requirements for AI/ML systems.
- Develop proof-of-concepts and prototypes to demonstrate the feasibility and value of proposed AI solutions.
- Lead the development and implementation of machine learning models using various frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Ensure the scalability, reliability, and performance of AI solutions in production environments.
- Provide technical leadership and guidance to data science and engineering teams.
- Evaluate and recommend appropriate AI/ML tools, platforms, and technologies.
- Stay current with the latest advancements in AI, machine learning, and related fields.
- Communicate complex technical concepts to both technical and non-technical stakeholders effectively.
- Contribute to pre-sales activities, including proposal development and client presentations.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML, with at least 3 years in a solutions architect or senior technical leadership role.
- Strong proficiency in Python and relevant ML libraries (TensorFlow, PyTorch, Keras, Scikit-learn).
- Expertise in cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Deep understanding of various machine learning algorithms, deep learning architectures, and data modeling techniques.
- Experience with MLOps practices, including model deployment, monitoring, and CI/CD for ML pipelines.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication, presentation, and interpersonal skills.
- Experience in client-facing roles and managing stakeholder relationships.
- Proven ability to translate business challenges into technical AI solutions.
Senior Machine Learning Engineer - Computer Vision
Posted 2 days ago
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Job Description
In this remote-first role, you will design, develop, and deploy state-of-the-art machine learning models for computer vision tasks, including image recognition, object detection, segmentation, and video analysis. You will be instrumental in building scalable ML pipelines, from data preprocessing and feature engineering to model training, evaluation, and deployment. Your work will directly impact product development and enhance the capabilities of our intelligent systems.
Key responsibilities include collaborating with research scientists and engineers to translate research into production-ready ML solutions, optimising model performance, and ensuring robustness and scalability. You will explore and implement novel algorithms and techniques, contribute to the company's AI research efforts, and stay abreast of the latest advancements in computer vision and deep learning. Proficiency in cloud platforms (e.g., AWS SageMaker, Google AI Platform, Azure ML) and containerization technologies (e.g., Docker, Kubernetes) is expected.
The ideal candidate will hold a Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field, with a strong emphasis on computer vision. You will possess at least 7 years of experience in machine learning engineering, with a significant focus on computer vision applications. Demonstrable experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras is mandatory. Expertise in programming languages like Python, along with libraries such as OpenCV and scikit-image, is essential. A proven ability to manage large datasets and develop production-ready ML systems is required. Excellent problem-solving, analytical, and communication skills are vital for collaborating effectively within a distributed team. This is a completely remote opportunity, ideal for individuals passionate about pushing the boundaries of computer vision AI.
Graduate Data Scientist - Machine Learning Focus
Posted 2 days ago
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