What Jobs are available for Data Mining in Edinburgh?
Showing 32 Data Mining jobs in Edinburgh
Remote Senior Mining Data Analyst
EH1 1BB Edinburgh, Scotland
£55000 Annually
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Posted 2 days ago
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Job Description
Our client, a global leader in resource extraction and management, is seeking a highly skilled and experienced Senior Mining Data Analyst to join their remote team. This position offers the unique advantage of working from anywhere in the UK, contributing significantly to operational efficiency and strategic decision-making within the mining sector. You will be instrumental in transforming vast datasets from exploration, production, and operational processes into actionable insights. Your primary focus will be on developing, implementing, and maintaining advanced analytical models to identify trends, predict outcomes, and optimize mining operations. Responsibilities include collecting, cleaning, and analyzing large-scale datasets related to geological surveys, resource estimation, production yields, equipment performance, and safety metrics. You will design and build interactive dashboards and reports using BI tools to visualize findings and communicate complex information effectively to stakeholders, including geologists, engineers, and senior management. Crucially, you will identify opportunities for cost reduction, efficiency improvements, and risk mitigation through data-driven recommendations. This role requires a deep understanding of statistical analysis, machine learning techniques, and data mining principles applied within the mining context. Proficiency in programming languages such as Python or R, and experience with SQL databases and data visualization tools (e.g., Tableau, Power BI) are essential. The ideal candidate will have a strong background in mining engineering, geology, geostatistics, or a related quantitative field, coupled with a minimum of five years of experience in data analysis, preferably within the mining or natural resources industry. Excellent analytical, problem-solving, and communication skills are paramount, along with the ability to work autonomously and collaboratively within a virtual team environment. This is a remote-first role, offering flexibility and the opportunity to make a substantial impact on a global scale from Edinburgh 's surrounding regions or anywhere in the UK.
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0
Data Science Graduate Scheme
EH1 1YS Edinburgh, Scotland
£30000 Annually
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Posted 2 days ago
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Job Description
Our client is offering an exceptional opportunity for ambitious graduates to join their prestigious Data Science Graduate Scheme based in Edinburgh, Scotland, UK . This program is designed to nurture emerging talent, providing a comprehensive foundation in data science principles and practical application within a dynamic business environment. Participants will work on challenging projects, gain exposure to cutting-edge technologies, and receive mentorship from industry experts. The scheme operates on a hybrid model, blending collaborative office-based learning with the flexibility of remote work.
Program Overview:
Program Overview:
- Engage in a structured 18-month program designed to develop expertise in data analysis, machine learning, statistical modeling, and data visualization.
- Rotate through various departments, applying data science techniques to solve real-world business problems across different sectors.
- Receive in-depth training on industry-standard tools and programming languages such as Python, R, SQL, and various data science libraries.
- Collaborate with experienced data scientists and business stakeholders on impactful projects.
- Develop skills in data cleaning, data wrangling, feature engineering, model building, and performance evaluation.
- Learn to communicate complex data insights effectively through compelling visualizations and reports.
- Participate in workshops, seminars, and networking events to foster professional development.
- Contribute to the development of innovative data-driven solutions and strategies.
- Gain hands-on experience with cloud platforms and big data technologies.
- Undertake a capstone project that showcases learned skills and delivers tangible business value.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, Engineering, Economics, or a related discipline.
- Strong foundation in statistical concepts and programming.
- Demonstrated passion for data science and a desire to learn and grow.
- Excellent analytical, problem-solving, and critical thinking skills.
- Good communication and teamwork abilities.
- Proactive and eager to take on new challenges.
- Eligibility to work in the UK.
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1
Principal Machine Learning Engineer
EH1 1AE Edinburgh, Scotland
£85000 Annually
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Posted 2 days ago
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Job Description
Our client, a highly innovative technology firm at the forefront of AI development, is seeking a Principal Machine Learning Engineer to lead the design, development, and deployment of cutting-edge machine learning systems. This is a fully remote, permanent position, enabling you to contribute your expertise to transformative projects without geographical constraints. You will be instrumental in shaping our ML strategy, building scalable and robust ML pipelines, and mentoring a talented team of engineers. This role requires a deep technical understanding of ML algorithms, distributed systems, and software engineering best practices, combined with a passion for pushing the boundaries of artificial intelligence.
Responsibilities:
Responsibilities:
- Lead the design and architecture of scalable machine learning systems and infrastructure.
- Develop, implement, and optimize production-level ML models and algorithms.
- Build and maintain robust, end-to-end ML pipelines for data ingestion, feature engineering, model training, evaluation, and deployment.
- Collaborate with data scientists and researchers to translate research concepts into production-ready solutions.
- Ensure the performance, reliability, and scalability of ML systems in production environments.
- Mentor and guide junior machine learning engineers, fostering technical growth and best practices.
- Evaluate and adopt new ML technologies, tools, and frameworks.
- Contribute to the definition of ML best practices, coding standards, and documentation.
- Work closely with DevOps and SRE teams to ensure seamless integration and deployment.
- Stay abreast of the latest advancements in machine learning, deep learning, and MLOps.
- Conduct code reviews and provide constructive feedback to team members.
- Master's or PhD in Computer Science, Machine Learning, or a related quantitative field.
- 8+ years of experience in software engineering, with a significant focus on machine learning engineering.
- Proven track record of building and deploying large-scale ML systems in production.
- Deep expertise in ML algorithms, statistical modeling, and data mining.
- Strong programming skills in Python, and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Proficiency in distributed computing frameworks (e.g., Spark) and MLOps tools.
- Excellent understanding of software engineering principles, including data structures, algorithms, and system design.
- Strong problem-solving skills and the ability to tackle complex technical challenges.
- Excellent communication and leadership skills, with experience mentoring others.
- Ability to thrive in a fast-paced, remote-first environment.
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2
Senior Machine Learning Engineer
EH1 1AA Edinburgh, Scotland
£80000 Annually
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Posted 2 days ago
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Job Description
Our client is a pioneering technology firm at the cutting edge of AI and emerging technologies, based in **Edinburgh, Scotland, UK**. We are seeking an accomplished Senior Machine Learning Engineer to drive the development and deployment of sophisticated AI models. This role is fully remote, allowing you to contribute your expertise from anywhere within the UK.
As a Senior ML Engineer, you will be instrumental in designing, building, and optimizing machine learning systems that power next-generation products and services. You will tackle complex challenges in areas such as predictive modeling, recommendation systems, anomaly detection, and natural language understanding. This position requires a strong blend of theoretical knowledge in machine learning and practical software engineering skills to bring models from conception to production.
Key responsibilities include:
As a Senior ML Engineer, you will be instrumental in designing, building, and optimizing machine learning systems that power next-generation products and services. You will tackle complex challenges in areas such as predictive modeling, recommendation systems, anomaly detection, and natural language understanding. This position requires a strong blend of theoretical knowledge in machine learning and practical software engineering skills to bring models from conception to production.
Key responsibilities include:
- Developing, implementing, and deploying production-ready machine learning models and pipelines.
- Designing and architecting scalable ML systems, ensuring efficiency and robustness.
- Collaborating with data scientists, software engineers, and product managers to define ML requirements and solutions.
- Optimizing model performance, inference speed, and resource utilization.
- Conducting A/B testing and other experiments to evaluate model effectiveness.
- Implementing MLOps best practices for model monitoring, versioning, and retraining.
- Researching and applying state-of-the-art ML algorithms and techniques.
- Mentoring junior engineers and contributing to the team's technical growth.
- Ensuring the ethical considerations and fairness of AI models.
- Troubleshooting and resolving issues in production ML systems.
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3
Principal Machine Learning Engineer
EH1 2EN Edinburgh, Scotland
£80000 Annually
WhatJobs Direct
Posted 2 days ago
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Job Description
Our client, a pioneering force in AI and emerging technologies based in the vibrant city of Edinburgh, Scotland, UK , is seeking a Principal Machine Learning Engineer to lead the design, development, and deployment of state-of-the-art AI solutions. This role is ideal for a seasoned expert looking to shape the future of artificial intelligence and contribute to groundbreaking projects.
Responsibilities:
Responsibilities:
- Lead the architecture and development of scalable, robust, and high-performance machine learning models and systems.
- Design and implement novel algorithms and techniques to solve complex AI challenges across various domains.
- Oversee the entire ML lifecycle, including data acquisition, preprocessing, feature engineering, model training, evaluation, and deployment.
- Collaborate closely with data scientists, software engineers, and product managers to integrate ML solutions into production environments.
- Mentor and guide junior ML engineers and data scientists, fostering a culture of technical excellence and innovation.
- Stay at the forefront of AI research, identifying and evaluating new tools, technologies, and methodologies.
- Develop and maintain robust MLOps pipelines for continuous integration, deployment, and monitoring of ML models.
- Ensure the scalability, reliability, and efficiency of deployed ML systems.
- Contribute to the strategic direction of the AI/ML roadmap and identify new opportunities for technological advancement.
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
- Drive best practices in machine learning engineering, including code quality, testing, documentation, and performance optimization.
- A Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- A minimum of 8 years of professional experience in machine learning engineering, with at least 3 years in a lead or principal role.
- Deep understanding of theoretical ML concepts and practical experience with a wide range of ML algorithms (e.g., deep learning, reinforcement learning, NLP, computer vision).
- Proficiency in programming languages such as Python, R, or Java, and extensive experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Proven experience in building and deploying ML models in production environments using cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Strong MLOps experience, including CI/CD, model monitoring, and version control.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional leadership and mentoring abilities, with a proven track record of guiding technical teams.
- Outstanding communication and presentation skills, with the ability to articulate complex ideas effectively.
- A strong publication record in top-tier ML conferences or journals is a plus.
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4
Graduate Data Scientist - Machine Learning
EH1 2HE Edinburgh, Scotland
£35000 Annually
WhatJobs Direct
Posted 6 days ago
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Job Description
Our client is seeking bright and ambitious Graduate Data Scientists to join their innovative analytics team in **Edinburgh, Scotland**. This is an exceptional opportunity for individuals with a strong academic background in data science, machine learning, or a related quantitative field to kickstart their career. You will work on challenging projects, applying advanced statistical techniques and machine learning algorithms to extract actionable insights from complex datasets. This role involves collaborating with experienced data scientists and business stakeholders to develop data-driven solutions that solve real-world problems. You will gain exposure to various industries and contribute to critical decision-making processes through rigorous data analysis.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large and complex datasets.
- Develop and implement machine learning models for predictive analytics, classification, clustering, and other data-driven tasks.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies within datasets.
- Visualize data and model results to communicate findings effectively to both technical and non-technical audiences.
- Collaborate with senior data scientists and domain experts to understand business requirements and translate them into analytical problems.
- Contribute to the development and validation of new analytical methodologies and tools.
- Perform statistical analysis and hypothesis testing to support data-driven decision-making.
- Assist in the deployment and monitoring of machine learning models in production environments.
- Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence.
- Document methodologies, code, and results thoroughly.
- Participate in team meetings and contribute to a collaborative learning environment.
- Support the team in ad-hoc data analysis requests from various business units.
Qualifications:
- Recent graduate with a Bachelor's, Master's, or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Physics, Engineering, or a related quantitative field.
- Strong understanding of statistical concepts and machine learning algorithms (e.g., regression, decision trees, SVMs, neural networks).
- Proficiency in programming languages commonly used in data science, such as Python (with libraries like pandas, scikit-learn, NumPy, TensorFlow/PyTorch) or R.
- Experience with SQL and database querying is essential.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI) is a plus.
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal skills, with the ability to explain complex technical concepts clearly.
- A keen interest in learning and applying new data science techniques.
- Ability to work effectively both independently and as part of a team.
- Previous internship or project experience in data science is highly desirable.
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5
Senior Data Scientist - Machine Learning
EH1 1TA Edinburgh, Scotland
£70000 Annually
WhatJobs Direct
Posted 2 days ago
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Job Description
Our client is looking for an accomplished Senior Data Scientist with a strong specialization in Machine Learning to join their innovative research and development department in Edinburgh, Scotland, UK . This role will involve leveraging advanced analytical techniques and machine learning algorithms to extract insights from complex datasets, driving data-informed decision-making and developing intelligent solutions. You will be responsible for the entire data science lifecycle, from data acquisition and preprocessing to model development, validation, and deployment. The ideal candidate will possess a Master's or PhD in a quantitative field such as Computer Science, Statistics, Mathematics, or Physics, along with several years of hands-on experience applying machine learning techniques to real-world problems. Expertise in programming languages like Python or R, and proficiency with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn), are essential. You should have a strong understanding of statistical modeling, data mining, and various ML algorithms, including supervised and unsupervised learning. Experience with big data technologies and cloud platforms is highly desirable. This is a pivotal role for an individual passionate about pushing the boundaries of data science and making a significant impact on strategic business initiatives. Responsibilities:
- Develop, train, and deploy machine learning models to address business challenges.
- Conduct exploratory data analysis to identify trends, patterns, and opportunities.
- Design and implement robust data pipelines for model training and evaluation.
- Collaborate with engineering teams to integrate ML models into production systems.
- Evaluate model performance and iterate to improve accuracy and efficiency.
- Communicate complex findings and recommendations to technical and non-technical stakeholders.
- Stay current with advancements in machine learning, AI, and data science.
- Mentor junior data scientists and contribute to knowledge sharing within the team.
- Contribute to the strategic direction of data science initiatives.
- Ensure the ethical and responsible use of data and algorithms.
- Master's or PhD in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Minimum of 5 years of experience in data science, with a focus on machine learning.
- Proficiency in Python or R, and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of statistical modeling, data mining, and various ML algorithms.
- Experience with data visualization tools and techniques.
- Familiarity with big data technologies (e.g., Spark, Hadoop).
- Experience with cloud platforms (e.g., AWS, Azure, GCP).
- Excellent problem-solving and analytical skills.
- Strong communication and presentation skills.
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6
Senior AI Engineer - Machine Learning
EH3 0BN Edinburgh, Scotland
£70000 Annually
WhatJobs Direct
Posted 2 days ago
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Job Description
Our client, a forward-thinking organisation at the forefront of AI and emerging technologies, is actively seeking a Senior AI Engineer specializing in Machine Learning to join their fully remote team. This is a pivotal role where you will design, develop, and deploy advanced machine learning models and algorithms to solve complex business problems. You will be instrumental in driving innovation, pushing the boundaries of what's possible with AI, and contributing to the development of next-generation intelligent systems. Your responsibilities will include data preprocessing, feature engineering, model training, evaluation, and deployment, as well as staying abreast of the latest research and techniques in machine learning and artificial intelligence. You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into our products and services. The ideal candidate possesses a deep understanding of ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python), and distributed computing environments. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is essential. This role is entirely remote, offering the ultimate flexibility to work from anywhere within the UK. We are looking for a self-motivated individual with a passion for AI, excellent problem-solving skills, and the ability to work independently and collaboratively in a virtual environment. You will contribute to a culture of innovation and knowledge sharing, helping to shape the future of AI development within our organisation. A strong academic background in Computer Science, Machine Learning, or a related field, coupled with significant practical experience, is required. Join us and help build the intelligent future, remotely.
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7
Senior Data Scientist - Machine Learning
EH1 1BB Edinburgh, Scotland
£75000 Annually
WhatJobs Direct
Posted 2 days ago
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Job Description
Our client, a cutting-edge technology firm at the forefront of AI-driven innovation, is seeking a highly skilled Senior Data Scientist specializing in Machine Learning to join their Edinburgh-based team. This is an on-site role offering the opportunity to work within a collaborative and dynamic environment, contributing to the development of state-of-the-art machine learning models that power next-generation products and services. You will be instrumental in tackling complex challenges, from data preprocessing and feature engineering to model development, validation, and deployment. The ideal candidate will possess a deep understanding of various machine learning algorithms (supervised, unsupervised, reinforcement learning), proficiency in programming languages such as Python or R, and extensive experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Your responsibilities will include identifying business needs that can be addressed through data science, designing and implementing ML solutions, conducting rigorous experimentation, and communicating complex findings to both technical and non-technical audiences. You will also play a key role in mentoring junior data scientists and contributing to the team's technical roadmap. This position demands exceptional analytical and problem-solving skills, a passion for innovation, and a commitment to producing high-quality, impactful work. A strong academic background coupled with practical experience in deploying ML models in production settings is essential. You will be working with large datasets, requiring strong data manipulation and database query skills (SQL, NoSQL). The ability to translate business requirements into data science problems and to clearly articulate the value of data-driven solutions is paramount. We are looking for a proactive individual who can thrive in a fast-paced, collaborative research and development environment. Contributing to the intellectual property of the company through novel algorithm development and innovative applications will be a significant aspect of this role.
Responsibilities:
Responsibilities:
- Develop, train, and deploy advanced machine learning models.
- Analyze large, complex datasets to extract actionable insights.
- Design and implement data preprocessing and feature engineering pipelines.
- Conduct rigorous experimentation and model validation.
- Communicate complex findings and recommendations to stakeholders.
- Collaborate with engineering teams to integrate ML solutions into products.
- Mentor junior data scientists and contribute to team knowledge sharing.
- Stay abreast of the latest advancements in machine learning and AI.
- Identify new opportunities for applying data science techniques.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience as a Data Scientist or Machine Learning Engineer.
- Expertise in Python or R and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of statistical modeling and machine learning algorithms.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Proficiency in SQL and database management.
- Excellent analytical, problem-solving, and communication skills.
- Proven ability to deliver production-ready ML solutions.
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8
Remote Data Scientist - Machine Learning Specialist
EH1 1AA Edinburgh, Scotland
£70000 Annually
WhatJobs Direct
Posted 2 days ago
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Job Description
Our client is actively seeking a talented and motivated Remote Data Scientist with a specialization in Machine Learning to join their cutting-edge research and development team. This is a fully remote position, allowing you to contribute your expertise from anywhere within the UK, with primary team collaboration often originating from Edinburgh, Scotland, UK . You will be at the forefront of developing and implementing advanced machine learning models and algorithms to solve complex business problems, extract valuable insights from large datasets, and drive data-informed decision-making. Your responsibilities will span the entire data science lifecycle, including data acquisition, cleaning, feature engineering, model training, validation, and deployment. You will work with diverse datasets, employing a range of statistical and ML techniques, including supervised and unsupervised learning, deep learning, and natural language processing. The ideal candidate possesses a strong theoretical foundation in mathematics, statistics, and computer science, coupled with practical experience in building and deploying production-ready ML models. Proficiency in programming languages such as Python or R, and experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) are essential. You will be expected to communicate complex findings clearly and concisely to both technical and non-technical stakeholders through compelling visualizations and presentations. This role requires a proactive and curious mindset, with a passion for exploring new data sources and pushing the boundaries of what's possible with machine learning. Collaboration with other data scientists, engineers, and product managers will be crucial for the successful integration of ML solutions into our products and services. This remote role is designed to offer maximum flexibility while ensuring high levels of team engagement and project impact.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms.
- Analyze large, complex datasets to identify trends, patterns, and actionable insights.
- Clean, preprocess, and transform data for effective model training.
- Evaluate and optimize model performance using appropriate metrics and techniques.
- Deploy machine learning models into production environments.
- Collaborate with engineering teams to integrate ML solutions into existing systems.
- Communicate findings and recommendations to stakeholders through reports and presentations.
- Stay current with the latest research and advancements in machine learning and artificial intelligence.
- Contribute to the development of the data science strategy and roadmap.
- Mentor junior data scientists and share knowledge within the team.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Proven experience (3+ years) as a Data Scientist with a focus on Machine Learning.
- Strong proficiency in Python or R, and experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Experience with data manipulation and analysis tools (e.g., Pandas, NumPy, SQL).
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities.
- Ability to work independently and collaboratively in a remote environment.
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