1 to 25 of 44 Machine Learning Jobs in Edinburgh

Limited The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research Scientists, Applied Scientists and Business Intelligence Engineers using rigorous quantitative approaches … As Data Scientist, you are able to use a range of science methodologies to solve challenging business problems when the solution is unclear. You will be responsible for building ML models to solve complex business problems and test them in production environment. The scope of role includes defining the charter for the project and proposing solutions which align with org … impact. You will achieve this by leveraging strong leadership and communication skills, data science skills and by acquiring domain knowledge pertaining to the delivery operations systems. You will provide ML thought leadership to technical and business leaders, and possess ability to think strategically about business, product, and technical challenges. You will also be expected to contribute to the science community More ❯

design through production Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences Preferred Qualifications Experience designing data platforms that support analytics, machine learning, and operational workloads Familiarity with data governance, privacy, and compliance frameworks Background in customer-centric or product-driven environments (e.g., digital, eCommerce, SaaS) Experience with infrastructure-as … can feel really proud of what you and your team created Personal development - clear and defined career pathways for every role at every level, a supportive manager, loads of learning opportunities and even 10% of your time to dedicate to your learning. Belonging - everyone at FanDuel works for each other, we win together, make mistakes together and have lots More ❯

What You'll Be Doing Automating Machine Learning workflows (training deployment) with AWS & GitOps Deploying LLMs using Kubernetes & Docker Building infrastructure with Terraform & Helm Monitoring and maintaining ML models with performance alerts and dashboards Supporting CI/CD for ML pipelines Developing production-grade APIs (REST/gRPC) to serve models Collaborating with engineers, data scientists & DevOps teams … Your Experience Industry experience in DevOps or MLOps roles (ideally in AWS environments) Hands-on with Docker, Kubernetes, and Terraform Strong scripting skills in Python or Bash Familiar with ML lifecycle tools, model monitoring, and versioning Exposure to tools like KServe, Ray Serve, Triton, or vLLM is a big plus Bonus Points Experience with observability frameworks like Prometheus or OpenTelemetry … Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Qualifications Degree in Computer Science, Engineering, Data Science, or similar What We Offer A collaborative and innovative work environment with excellent career growth opportunities 34 days holiday plus your birthday off (including bank holidays) Share options - we believe in shared success Skills development - continuous More ❯

60k per annum As a Machine Learning Engineer , you will be part of an MLOps team, working alongside data scientists, software engineers, and other stakeholders to bring machine learning models to life. You will be responsible for deploying, maintaining, and monitoring models in production, improving model performance, and refining the machine learning infrastructure to … to deploy machine learning models, ensuring quality and scalability. Pipeline Development : Build and maintain model pipelines to integrate with existing systems and workflows. CI/CD for ML : Design and implement continuous integration and delivery pipelines for efficient model deployment. Model Monitoring : Monitor machine learning models in production, ensuring ongoing performance and reliability. Collaboration : Work with … machine learning. Optimization : Continuously improve machine learning infrastructure and production workflows. Strong technical foundation in machine learning and software engineering Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (AWS, GCP, Azure) Experience with CI/CD pipelines for machine learning (e.g., Vertex AI) Familiarity with data More ❯

shaping how they apply data, analytics, and innovation across the product development lifecycle A global network of multidisciplinary experts in AI, clinical development, regulatory strategy, and digital health Continuous learning and growth through Accenture's world-class training programs, mentorship, and access to cutting-edge tools and knowledge A collaborative, purpose-driven culture that encourages bold thinking, values diverse … leadership, and innovation initiatives within the R&D team and wider Life Sciences practice We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big … Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci More ❯

will have strong hands-on experience of building software platforms on Kubernetes, API-based development, REST frameworks, data engineering, and large-scale API Gateway environments. Knowledge of AI/ML and hands-on experience implementing solutions using Generative AI are also preferable. Main Duties: Develop tooling and self-service capabilities for deploying AI solutions. Enhance the developer experience for AI … secure authorization. Proficiency with observability tools (Grafana, Prometheus, etc.). DevOps and CI/CD (Jenkins, GitOps). Strong communication and collaboration skills. Understanding of deep learning and ML frameworks (TensorFlow, PyTorch). Secure coding practices and cloud-native application development. Desirable Skills: Microservices architecture and cloud deployment patterns. Modern application configuration techniques. Experience with distributed state sharing and … with Generative AI and LLM-based applications. Familiarity with AI agents and orchestration frameworks (LangChain, LangGraph). Experience with embeddings and fine-tuning GenAI models. Understanding of ModelOps/ML Ops/LLM Ops. Familiarity with SRE techniques. This role has been deemed Inside IR35 by the client. Applicants must hold, or be happy to apply for, a valid Basic More ❯

deriving business and technical KPIs Guide the transition of solutions into the hands of the client, providing documentation to operate and maintain the solution Design data pipelines to support machine-learning solutions About you (ideally): Strong hands-on approach - architect, code and facilitate full-scale development Able to explain pro/cons of various AWS options, to justify … one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen More ❯

our cutting-edge gene therapy research. This senior leadership position will drive the strategy and execution of research computing initiatives, working in close partnership with our Bioinformatics, AI/ML, and Global IT Infrastructure teams. The role focuses specifically on advancing our scientific computing capabilities through operational excellence, while ensuring our research teams can maximize the value of our high … teams, including high-performance computing, GPU-accelerated workflows, and research data management. Job Responsibilities Serve as the primary local IT Infrastructure contact for Edinburgh's Bioinformatics and AI/ML teams Manage and optimize scientific computing infrastructure, including GPU clusters, high-performance storage systems, and virtualized environments Collaborate with global IT teams to ensure infrastructure alignment with scientific computing needs … documentation Strong experience with Linux administration and engineering Extensive knowledge of virtualization technologies, particularly VSphere Preferred Education, Experience and Skills Experience with WEKA storage systems Knowledge of AI/ML infrastructure requirements Experience supporting bioinformatics workflows Familiarity with container technologies (Docker, Kubernetes) Experience with infrastructure automation tools Understanding of scientific computing software and frameworks Previous experience in biotech or pharmaceutical More ❯

bring solutions to life Helping upskill non-tech stakeholders across the Tax team Digging into processes, spotting inefficiencies, and automating the boring stuff Keeping up with emerging tech (AI, ML, RPA, etc.) and testing what actually works ?? What We're Looking For Proven experience with Python and SQL (data wrangling, automation, analytics) Understanding of tax or finance processes OR experience … you'll work closely with non-tech users) Bonus points if you have: Experience with Alteryx , Power BI , or data visualisation tools Knowledge of Agile , database design, or classic ML algorithms Certifications (e.g., ATT, Alteryx) or a data science background ?? What You'll Get Up to £65,000 + 26 days holiday (+ option to buy more) ?Why Join? You More ❯

mission critical ecosystem of Data and BI systems for analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives at solving More ❯

life and influence how data & AI transforms industries - we'd love to hear from you. Requirements GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and … innovation - shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data & ML Operations Generative & Agentic AI You'll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead at the forefront … within professional services or a high-growth tech environment. A successful track record of developing and closing £M+ data & AI deals with business stakeholders. Strong expertise in AI/ML market offerings and related solutions (Gen AI, Agentic AI, ML Ops, Model Ops) as well as one or more other core technology areas - such as modern data platforms, data product More ❯

life and influence how data & AI transforms industries - we'd love to hear from you. Requirements GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and … innovation - shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data Product Engineering Data & ML Operations Generative & Agentic AI You'll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead … within professional services or a high-growth tech environment. A successful track record of developing and closing £M+ data & AI deals with business stakeholders. Strong expertise in AI/ML market offerings and related solutions (Gen AI, Agentic AI, ML Ops, Model Ops) as well as one or more other core technology areas - such as modern data platforms, data product More ❯

Large Language Model (LLM), or Large Computer Vision projects. -Use SQL to query and analyze the data. -Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. -Use machine learning and analytical techniques to create scalable solutions for business problems. -Research and implement novel machine learning and statistical approaches. -Mentor junior scientists … at very large scale. About the team When a customer returns a package to Amazon, the request and package will be passed through our WWRR machine learning (ML) systems so that we could improve the customer experience, identify return root cause, optimize re-use, and evaluate the returned package. Our problems touch multiple modalities spanning from: textual, categorical … image, to speech data. We operate at large scale and rely on state-of-the-art modeling techniques to power our ML models BASIC QUALIFICATIONS - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience with More ❯

relevance and related experiences for customers. BASIC QUALIFICATIONS - PhD, or Master's degree and 5+ years of applied science experience - Skilled in Python or alternative programming language. - Experience in ML model productionization. - Ability to manage and quantify improvement in customer experience or value for the business resulting from research outcomes - Superior verbal and written communication skills, ability to convey rigorous … mathematical concepts and considerations to non-experts. PREFERRED QUALIFICATIONS - A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent) and 5+ years of experience working in data science in a consumer product company - Practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, computer More ❯

to Consultant) program for intensive training on AWS technology and delivery approach. Emirati nationality is required. Key job responsibilities As a Data Scientist, you will - Collaborate with AI/ML scientists, engineers, and architects to Research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges - Interact with customers directly to understand the business problem, help … our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising … at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - PhD or Master's degree or equivalent experience - Experience building a range of AI/ML models - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and More ❯

current lease terms and use, its current value and future "green premium," and the value of energy flexibility in a future grid. We gather all this data and build machine learning models to find the optimum retrofits across a portfolio of buildings. To make this possible, we're building a diverse team of people passionate about solving climate More ❯

our Agile development team. In this role, you'll drive the evolution and implementation of Finance and data products, ensuring high-quality, accessible, and trusted data that fuels analytics, machine learning, and personalised experiences. You will work cross-functionally to create data products that empower teams across the business, from marketing to operations, and enable insight-driven decisions. More ❯

Hadoop. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure. Understanding of ML algorithms, their development and implementation Confidence developing end-to-end solutions Experience with infrastructure as code e.g. Terraform, Ansible If you are a skilled Data Systems Engineer with the required More ❯

Ireland. This is a high-impact role at the intersection of technology, consulting, and innovation - shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data & ML Operations Generative & Agentic AI You'll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data … Strong expertise in market offerings and related solutions in data solution areas - modern data platforms, data product engineering, data marketplace architecture, data developer portals and understanding of AI/ML solutions. Experience co-selling partner solutions with hyperscalers or platforms (e.g. AWS, Azure, GCP, Snowflake, Databricks). Outstanding communication skills - able to translate complex ideas for both technical and business … one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen More ❯

Collaborate with cross-functional teams to ensure project milestones are met. Ensure all appropriate reporting is in place. Leverage Microsoft's AI-driven capabilities such asCopilot, Azure AI, and machine learning capabilitiesto enhance customer experience, business processes and decision-making. Collaborate across our business sharing knowledge within the Accenture ecosystem to improve our platform capability and leverage available … and partners to enable delivery of the outstanding services we are known for. Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. Accenture is … their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces. Discover where this job fits at Accenture Industry understanding. Deep More ❯

methodologies, with the goal of reduced complexity, improved performance, and cost efficiency Collaborate with Analysts and Data Scientists to prepare and model data for predictive analytics and AI/ML initiatives Implement and maintain data observability and quality monitoring solutions, including custom alerting, to ensure the reliability and integrity of our data assets Work closely with Engineering teams to understand … days after 2 years of employment Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community Rich learning and development opportunities are supported through the Trustpilot Academy and Blinkist Pension and life insuranceHealth cash plan, online GP, 24/7 Employee Assistance Plan Full access to Headspace More ❯

network virtualization , or open-source project contributions . Experience using the Atlassian toolset - Jira, Confluence, Bitbucket. Exposure to C++ or other scripting languages beyond Python. Understanding of AI/ML technologies and their application in QA processes. Practical experience with Ixia , Spirent , or other network testing tools. Ability to work independently and within agile, cross-functional teams . A passion More ❯

As an Applied Scientist in Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off-manifest (discrepancies between planned and actual shipping cost). You will build models to improve the quality of financial … will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such as North America, Europe, Asia) and package movement types (such as small parcel movements and truck movements). You will partner with Applied Scientists … work as part of a diverse data science and engineering team comprising of other Applied Scientists, Software Development Engineers and Business Intelligence Engineers. You will participate in the Amazon ML community by authoring scientific papers and submitting them to Machine Learning conferences. You will mentor Applied Scientists and Software Development Engineers having a strong interest in ML. You More ❯

to operate in multiple industries, including Financial Services, Resources, Products, Communications and Health & Public Services. In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying business and organisational challenges The … AI community, sharing insights and experience of using emerging technologies on client deliveries and through research. We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB, ... Implementation of AI/ML architectural patterns and … yourself apart: Certified cloud Machine Learning (e.g., AWS Certified Machine Learning – Specialty). Building PoCs to aid learning Experience of delivering production AI/ML services for scaled end user consumption What’s in it for you At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which More ❯

together engineers and scientists with deep expertise in the different worlds of image quality, algorithm design, embedded software, robotics and depth sensing, optics/photogrammetry, graphics and simulation, and machine learning. Together we have built a vast range of different ground-breaking products - from the Echo Look, Echo Show, Ring security cameras and the Astro home robot. Key job … responsibilities As a Senior Software Development Engineer you will: - Design algorithms and write software for our consumer products. - Work closely with camera & sensor experts, product management, computer vision and machine learning experts. - Guide the team to solve complex technical challenges and invent new ways to bring joy and value to our customers. - Guide and develop more junior engineers More ❯