26 to 50 of 100 Machine Learning Jobs in Scotland

this role you will develop data solutions as part of a team of Data Scientists and a Software Engineer using a combination of AI, Machine Learning, and other data science techniques, with dedicated access to our new GPU server with state-of-the-art compute. Projects will typically … involve implementation of statistical models, data analysis pipelines, or deep learning architectures for various tasks, including computer vision, time-series analysis, high-dimensional clustering or large language models. Requirements We are particularly interested in candidates who: Have hands-on experience using a range of computational techniques to achieve meaningful … intelligence, statistics, biomedical/biological sciences). Experience in a role involving data science, including managing, structuring, visualizing, analysing data, and building statistical or machine learning tools. Fluency in one or more data science programming languages (R, Python with NumPy/pandas etc, Julia) with experience in writing More ❯

this role, you will develop data solutions as part of a team of Data Scientists and a Software Engineer using a combination of AI, Machine Learning, and other data science techniques, with dedicated access to our new GPU server with state-of-the-art compute. Projects will typically … involve implementation of statistical models, data analysis pipelines, or deep learning architectures for various tasks, including computer vision, time-series analysis, high-dimensional clustering, or large language models. We are particularly interested in candidates who: Have hands-on experience using a range of computational techniques to achieve meaningful outcomes. … intelligence, statistics, biomedical/biological sciences). Experience in a role involving data science, including managing, structuring, visualizing, analyzing data, and building statistical or machine learning tools. Fluency in one or more data science programming languages (R, Python with NumPy/pandas etc, Julia) with experience in writing More ❯

all our sectors. You will use your knowledge and practical experience to develop a best practice operating model to assure robust and commercially viable machine learning solutions are deployed and adopted with clients. You will line-manage members of the Decision Sciences and Machine Learning team … data science-related body. Key Technical Skills Ability to abstract complex business problems into data, model, and decisioning ecosystems. Advanced knowledge of Statistics and ML techniques. Proficient in a range of programming languages (Python and/or R preferable, SQL, C#, Java). Solid grasp of popular and emerging technology … stack for building and orchestrating ML solutions. A strong grasp of profit-loss dynamics and value drivers in a range of commercial settings. Key Business Skills Ability to spot commercial opportunities for data science use cases in existing and new client conversations. Excellent people skills, with ability to engage confidently More ❯

have proven experience in a data science role, with strong skills in managing, structuring, visualising, and analysing data, as well as developing statistical or machine learning tools. The ideal applicant will have hands-on experience applying computational techniques to achieve meaningful outcomes. This role is ideal for someone … capabilities. In this role, you will lead the development of data solutions with a team of Data Scientists and a Software Engineer, utilizing AI, Machine Learning, and other data science techniques, with access to state-of-the-art GPU compute resources. You will help manage, coordinate, and prioritize … for Success Degree in mathematics, data science, AI, statistics, biomedical or biological sciences. Experience in data science roles, managing and analyzing data, and developing ML tools. Leadership experience in managing research projects and teams. Proficiency in programming languages like R, Python, Julia, with documentation skills. Excellent communication skills across disciplines More ❯

session and post-race analysis. Assist in the integration of third-party data sources (e.g. MoTeC, etc). Drive innovation in the use of machine learning or predictive models to enhance performance decision-making. Provide trackside support as required across the race calendar, requiring regular interstate travel Qualifications … tests, and workshops as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer More ❯

session and post-race analysis. Assist in the integration of third-party data sources (e.g. MoTeC, etc). Drive innovation in the use of machine learning or predictive models to enhance performance decision-making. Provide trackside support as required across the race calendar, requiring regular interstate travel Qualifications … tests, and workshops as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer More ❯

session and post-race analysis. Assist in the integration of third-party data sources (e.g. MoTeC, etc). Drive innovation in the use of machine learning or predictive models to enhance performance decision-making. Provide trackside support as required across the race calendar, requiring regular interstate travel Qualifications … tests, and workshops as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer More ❯

will lead the development of data solutions as part of a team of Data Scientists and a Software Engineer using a combination of AI, Machine Learning, and other data science techniques, with dedicated access to our new GPU server with state-of-the-art compute. A key responsibility … intelligence, statistics, biomedical/biological sciences). Experience in a role involving data science, including managing, structuring, visualizing, analyzing data, and building statistical or machine learning tools. Experience leading a team, coordinating others, and managing several research projects simultaneously. Fluency in one or more data science programming languages More ❯

Alexa, in order to provide the best-possible customer experience for our customers. BASIC QUALIFICATIONS PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science. 10+ years of combined academic and research experience with a strong publication record in top-tier journals and … Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business, product, and technology very well. This technical leader for machine learning will be an independent thinker who can make convincing, information-based arguments. With a strong bias for action, this individual will work More ❯

the Data Scientist, you'll play a crucial role in enhancing and optimising this platform. You'll work directly with spectral data, contribute to machine learning models, and help ensure the system continues to deliver high-value insights for real-world applications. Key Responsibilities: Analyse complex infrared spectroscopy … datasets Build and refine machine learning models for organism identification Expand and maintain a large-scale, cloud-hosted spectral database Collaborate closely with biologists and software engineers Translate scientific data into practical, user-friendly outputs Key experience needed: Strong background in data science (Python, R, etc.) Experience working More ❯

team and play a key role in driving the business forward. They use an in-house pricing system combining traditional Emblem GLM models with machine learning models developed in Python. My client has an office based in London however, this role can be fully remote. Required skills: - Proactive … working are key. - Strong technical pricing background, ideally with experience using WTW Emblem; retail pricing and/or exposure to data science techniques (e.g. machine learning, Python) within a pricing context is highly desirable. - 3 to 8 years of experience within personal lines insurance is required More ❯

learning models in production. Acting as the critical link between the data science and R&D teams, this team will ensure that ML models transition smoothly from development to production, maintaining high availability, scalability, and performance. Key responsibilities include: Managing and optimising existing ML model deployments to ensure … lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines, monitoring systems, and infrastructure automation. Upholding best practices in security, cost management, and infrastructure design … for cloud environments. This team will play a pivotal role in ensuring that ML initiatives drive value effectively while maintaining operational excellence and we're looking for a Senior Software Engineer to be part of it! Responsibilities: Architect and develop robust pipelines for ML model training, testing, and deployment. Implement More ❯

to define/design/test and implement tooling requirements around this , as well as embed the latest technologies such as Gen AI/ML to improve resilience across the bank . About the Role As technology evolves and banks are increasingly looking to utilise Gen AI to si gnificantly … About you: Proven experience in operational resilience, risk management, or business continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle … resilience frameworks and regulatory expectations (e.g., PRA SS1/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ More ❯

What Will Give You A Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar More ❯

What Will Give You A Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar More ❯

What Will Give You A Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar More ❯

Azure Data Factory, PowerBI and Sigma Experience using native functionality to deploy and interact with Large Language Models Ability to develop, test and deploy machine learning models Experience of Agile and traditional SDLC delivery methodologies A point of view on how the FS industry will continue to evolve … suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We'll provide the tools and flexibility More ❯

project direction. Engage with upper management in major decisions and complex issues. Required qualifications Strong knowledge in data analysis, building analytical and/or machine learning models. Master's degree in fields that include strong coverage of applied mathematics and statistics, computer science, engineering, or related fields. Eight More ❯

and understanding of a variety of specialised survey software products Good knowledge of survey data processing philosophies and methodologies Knowledge of automated processing techniques, Machine Vision and Machine Learning Knowledge of cloud computing and hosting services Technical problem-solving skills Thorough knowledge and understanding of principle discipline More ❯

as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with No SQL Databases such as MongoDB Experience in various messaging technologies such as More ❯

and problem-solving skills Working knowledge of Unix. Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Knowledge of AWS Knowledge of Databricks Understanding of Cloudera Hadoop, Spark, HDFS, HBase, Hive. Understanding More ❯

as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Familiarity with modern front-end technologies industry-wide technology trends and best practices Ability to work in large, collaborative teams More ❯

can demonstrate extraordinary staff retention and longevity, and are responsible for one of Europe’s most innovative data science healthcare platforms. Their Azure-hosted machine learning platform fosters R+D and collaboration between people from all areas of healthcare, across the globe. It underpins ground-breaking research into disease … get to join a small, focused delivery team working on key feature development, devops, and testing, exploring new areas of cloud computing, AI/ML, and platform engineering. You'll be key in determining architectural and design decisions, supporting junior team members, writing fantastic code, ensuring it's all fully More ❯

as part of a wider BI team within the organization Willingness to adapt to change Ability to work to deadlines Enjoys technical challenges and learning new skills Willingness to take part in overnight support rota Minimum Criteria You'll need all of these. Experience of building a data warehouse … in a cloud environment Desirable Proven Experience of Oracle ODI/OAS Experience in AWS (in particular terraform, lambda, step functions, S3) Understanding of machine learning or data science, including python. Experience working with customer or vehicle data. Who you'll be working with This role would be More ❯

Exposure to agile methodologies such as CI/CD, application resiliency, and security Emerging knowledge of software applications and technical processes (e.g., cloud, AI, machine learning, mobile) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Experience with cloud technologies About the Team J.P. Morgan is More ❯