26 to 50 of 64 Machine Learning Jobs in Edinburgh

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 ❯

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 ❯

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 ❯

of fast and reliable deliveries. The technology that is developed by our teams includes a wide breadth of solutions from Machine Learning (ML) and Operations Research-based routing and planning algorithms, in-house maps and navigation platform, IoT and hardware innovations, doorstep delivery experience, and the consumer-grade 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 ❯

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 ❯

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 ❯

analysis from our Data Warehouse and Data Lake, playing a key role in providing support to the business in their Data Science, AI, and ML initiatives. Our Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the More ❯

growth. Develop strategies leveraging data science for decision-making in investment, trading, and other quantitative domains, aligning with clients' business goals. Utilize advanced analytics, machine learning, and predictive modeling to interpret market signals and forecast trends, providing clients with a competitive edge. Strengthen client relationships to sustain Accenture … s profile as a trusted advisor and partner. Support and mentor junior team members, fostering continuous learning and innovation. Travel: As needed, up to 100% Qualifications: You have had exposure to one or more of the following industries: energy, chemicals, soft commodities, agriculture, metals, mining, utilities, transportation, consumer goods … parts and constructing clear reasoning and analyses, using quantitative analysis methods, statistics & data-driven thinking. You have energy and drive, a passion for continuous learning and mastering new topics, and an understanding of how forces like digital and the energy transition will shape the future business landscape. You are More ❯

in similar role providing recommendations for business growth and optimisation. A strategic thinker with strong analytical skills and exceptional attention to detail Knowledge of machine learning and AI applications. A strong understanding of UK Financial Services/L&PI industry, including market trends, competitive landscape and relevant business More ❯

Q, LangChain, and vector databases), and a strong interest in exploring new tools and techniques within the GenAI ecosystem. Experience with AWS AI/ML services such as Amazon Bedrock, and understanding of how to integrate these services into generative AI workflows. Demonstrable experience engaging with developer communities, including creating More ❯

insightful pre-race planning, split-second identification of pivotal strategy inflection points during live race events. What You’ll Do Evolve existing AI/ML models for application in Sportscars: refining existing python code-base where appropriate and reimagining where necessary. Develop platform for running and interrogating Mote Carlo free … Work with teammates supporting other racing series to apply analysis techniques and modeling approaches to other series to validate processes and refine models. Transfer learning and approaches between the series in which GM Motorsports teams compete. #LI-LP2 Additional Job Description What You’ll Need (Required Qualifications) Bachelor’s … models and performing analysis to drive strategy decisions during live race events. Proficient programing in Python, MATLAB, or similar language. Familiarity with AI/ML modeling techniques and methods being developed and applied across industry. Strong organization skills, forward thinking mentality, and a superb attention to detail. Well-developed interpersonal More ❯

background in Python development for data engineering Experience working with cloud data warehouse solutions Working knowledge of cloud-based solutions Experience building and deploying machine learning models in production Strong proficiency in object-oriented languages and scripting languages Strong proficiency in data pipeline and workflow management tools Strong More ❯

You’ll Work On: • Collaborate with senior data scientists on live projects • Assist in cleaning, organizing, and analyzing datasets • Contribute to feature engineering for machine learning models • Learn how A/B tests and data experiments are designed and analyzed • Help build dashboards or visualizations that support business More ❯

operations PREFERRED QUALIFICATIONS Experience with FrontEnd React and/or Nextjs. Excellent problem-solving and analytical skills Strong communication and collaboration skills Familiarity with machine learning concepts and LLM agents. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our More ❯

Experience? We are from the Kindle Books Team looking for a Senior Manager in Applied Science who will be managing the Applied Scientists and ML Engineering Team. The team is looking to take the reading experience in Kindle to the next level with a set of innovations! We are building … bringing state-of-the-art innovations for improving the reading experience. The Senior Manager will also be managing the Analytics, Data insights, experimentation, and ML Operations influencing all the key spaces aiding in Science deliverables. Key job responsibilities You independently manage Science & Engineering teams. You are able to hire, develop … or need to change to accommodate business needs. You will be responsible for various aspects of the Science teams like Analytics, Business Intelligence, MLOps, ML Engineering, Data Science, and Applied Science. You keep yourself up-to-date with the recent advances, thereby guiding the team with the right decisions. You More ❯

environments. Languages: English : Fluent (required) Mandarin Chinese : Fluent or professional proficiency (preferred, but not mandatory) Other Skills: Experience in privacy, cybersecurity, or AI/machine learning technologies is a plus. More ❯

a geographically dispersed team environment Strong organizational, multi-tasking, and prioritizing skills Education & Preferred Qualifications Experience with cybersecurity governance, information protection governance, AI and machine learning governance related to encryption and data loss prevention, or related functions demonstrated through work, military, or education Experience using ticket tracking tools More ❯

a geographically dispersed team environment Strong organizational, multi-tasking, and prioritizing skills Education & Preferred Qualifications Experience with cybersecurity governance, information protection governance, AI and machine learning governance related to encryption and data loss prevention, or related functions demonstrated through work, military, or education Experience using ticket tracking tools More ❯