1 to 25 of 69 Machine Learning Jobs in Scotland

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 ❯

that’s as ambitious as our technology. What You’ll Do As a Machine Learning Engineer, you’ll play a key role in designing, developing, and deploying ML models that power our core products. You’ll work closely with data scientists, software engineers, and product managers to bring intelligent features to life. Your responsibilities will include: Designing and … implementing machine learning models for real-world applications Preprocessing and analysing large datasets to extract meaningful insights Collaborating with cross-functional teams to integrate ML solutions into production systems Monitoring and improving model performance over time Staying up to date with the latest research and best practices in ML and AI What We’re Looking For We’re … excited about building something new. You should have: 2+ years of experience in machine learning or data science roles Strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) Solid understanding of machine learning algorithms and statistical methods Experience working with cloud platforms (AWS, GCP, or Azure) Familiarity with MLOps tools More ❯

planet to satisfy our customers' all shopping needs. We build platforms, systems and tools to create and take advantage of datasets that contains billions of records, use the latest machine learning, data processing technologies and a broad set of AWS technologies. In order to drive the expansion of Amazon selection, we use cluster-computing technologies such as MapReduce … process billions of products and find the products/brands not already sold on Amazon. We work with structured and unstructured content such as text and images and apply Machine Learning algorithms such as Clustering, Natural Language processing, Fuzzy matching and Image processing at a massive scale. We are looking for a Senior Manager, Applied Science to tackle … solutions that will have an impact to both Amazon top-line & bottom line. BASIC QUALIFICATIONS - 5+ years of scientists or machine learning engineers management experience - Knowledge of ML, LLM, NLP, Information Retrieval and Analytics PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning 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 ❯

pieces of analyses relating to understanding and predicting customer behaviour. They will also work on turning these analyses into actionable insights which the business can use. Main Responsibilities Building Machine Learning models that provide insight into customers and helps the business predict customer behaviour around scheme misuse, EV transition and affordability. These models are essential as the business … Supporting the team in meeting ad hoc requests for customer insights from the rest of the business. Qualifications About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear … strong stakeholder management experience. Minimum criteria You'll need all of these. Educated to a degree standard, ideally in applied statistics/Data Science/Mathematics. Strong experience using machine learning to solve business problems involving both structured and unstructured data. Experience of working with cloud-based data stores such as Snowflake and strong experience querying data with More ❯

AI/ML Engineer – Permanent, Full-Time – Dundee £30-35K Join a mission-driven tech company at the forefront of sustainable innovation. We’re currently working with a pioneering technology company. They’re on a mission to drive responsible and sustainable practices through cutting-edge solutions, and they’re looking to bring on an AI/ML Engineer to … model optimisation to ensure top-tier performance. Collaborating with cross-functional teams (data scientists, software engineers, product managers) to turn business needs into technical solutions. Building and maintaining scalable ML pipelines using AWS (SageMaker, EC2, S3, Lambda, Rekognition). Staying up to date with the latest in ML and computer vision research and applying new techniques to real-world challenges. … Contributing to the development of ML infrastructure and best practices. Mentoring junior team members and fostering a culture of innovation and continuous learning. What We’re Looking For Master’s or PhD in Computer Science, Engineering, or a related field with a strong ML focus. Solid understanding of deep learning architectures (CNNs, RNNs, Transformers). Proficiency in Python and 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 ❯

thinking and enables boundaryless opportunities that can drive your career in new and exciting ways In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, deploy and run high quality AI/ML solutions across a range of industries with varying business and organisational challenges The latest … of standard patterns and templates for emerging technologies based on client delivery experience and research Qualification 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, AI/ML architectural patterns and best practices e.g. … and DevSecOps Set yourself apart: Certified cloud Machine Learning (e.g., AWS Certified Machine Learning - Specialty). Certified cloud Architect 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 ❯

ll work in an agile, collaborative environment, leveraging modern technology stacks to build and optimize a powerful data platform and search engine. With an opportunity to explore vector search, machine learning, and large-scale data processing using Apache Lucene, Solr, or Elasticsearch. What you'll be doing: Design, build, and optimize a high-performance data platform and search … mentor more junior members of the team. Why This role? Be part of a highly skilled team developing a modern data and search platform Work on vector search and machine learning applications A culture that values innovation, collaboration, and continuous learning What's In It for You? Competitive salary & benefits package A chance to work with cutting More ❯

Security Lead, you will collaborate with cross-functional teams to embed security by design into our data infrastructure, enabling advanced analytics and data science use cases-including AI and Machine Learning-without compromising on compliance or control. To be successful as a Data Security Lead, you should have experience with: Proven … architecture and control design experience in a data security or cybersecurity context. Strong background as a Cloud technologist with hands-on experience in data science platforms and AI/ML use cases. Demonstrated expertise in implementing security by design principles and conducting threat modelling and translating this into designs mitigations for delivered patterns. Ability to translate complex security requirements into … CCSP, GSEC, or cloud-specific security certifications. Experience with public cloud platforms such as AWS, Azure, or GCP, especially around data services. Understanding of emerging threats in AI/ML applications, including adversarial attacks or data poisoning. Strong communication skills and the ability to engage with both technical and non-technical stakeholders. You may be assessed on the key critical 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 ❯

to life and influence how data & AI transforms industries wed 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 Youll 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 of … 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 ❯

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 ❯

Embedded Machine Vision Engineer - Remote Salary: £70,000 - £80,000 Location: Fully Remote (UK-based) KO2's client, an Edinburgh-based technology company, is leading the way in embedded vision systems for real-time threat and risk detection in automotive environments. Their work combines advanced near-infrared (IR) camera sensors with deterministic AI models to identify driving anomalies, hazards … responsibilities: Develop and optimise real-time embedded vision algorithms in C/C++ Work with near-IR camera sensors to classify visual and behavioural characteristics Integrate fixed AI/ML models (e.g. CNNs) into embedded systems Ensure deterministic, certifiable software execution under memory and timing constraints Evaluate model performance under varied environmental conditions (lighting, motion, etc.) Collaborate closely with software … time systems) Proven background in embedded machine vision or image pipelines Hands-on with IR, CMOS, or similar camera/imaging systems Practical understanding of embedded AI/ML techniques (e.g. CNNs, segmentation, shape tracking) Comfortable working in memory- and timing-constrained environments Preferred Qualifications: Degree or MSc in Computer Vision, Embedded Systems, or related field Experience developing software More ❯

Embedded Machine Vision Engineer - Remote Salary: £70,000 - £80,000 Location: Fully Remote (UK-based) KO2's client, an Edinburgh-based technology company, is leading the way in embedded vision systems for real-time threat and risk detection in automotive environments. Their work combines advanced near-infrared (IR) camera sensors with deterministic AI models to identify driving anomalies, hazards … responsibilities: Develop and optimise real-time embedded vision algorithms in C/C++ Work with near-IR camera sensors to classify visual and behavioural characteristics Integrate fixed AI/ML models (e.g. CNNs) into embedded systems Ensure deterministic, certifiable software execution under memory and timing constraints Evaluate model performance under varied environmental conditions (lighting, motion, etc.) Collaborate closely with software … time systems) Proven background in embedded machine vision or image pipelines Hands-on with IR, CMOS, or similar camera/imaging systems Practical understanding of embedded AI/ML techniques (e.g. CNNs, segmentation, shape tracking) Comfortable working in memory- and timing-constrained environments Preferred Qualifications: Degree or MSc in Computer Vision, Embedded Systems, or related field Experience developing software More ❯

real-time data into actionable insights and provides utilities with advanced tools to manage the increasing complexity of energy systems. By integrating energy data, network modeling, and AI/ML-driven analytics, GridOS aims to enhance grid reliability, resilience, and efficiency, even in severe weather conditions. By integrating an Advanced Distribution Management System, a robust Outage Management System, DER orchestration More ❯

handle large volumes of data in real-time Develop and implement algorithms and data structures for efficient data storage and retrieval Collaborate with data scientists and traders to integrate machine learning models and trading strategies into the backend infrastructure Ensure data privacy, security, and regulatory compliance Monitor and analyze system performance to identify potential issues and optimize overall More ❯

architecture through implementation. Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders. Preferred Qualifications: Experience designing data platforms that support analytics , machine learning , and real-time operational workloads . Familiarity with data governance , privacy , and compliance frameworks (e.g., GDPR, HIPAA). Background in customer-centric or product-driven industries such More ❯

and stakeholders to analyse requirements and deliver comprehensive business solutions. You have: Strong understanding of Azure AI services and Azure cloud services in general. In particular, Azure OpenAI, Azure Machine Learning Studio, Function Apps, and Storage Accounts. In-depth experience in AI application development. You have previously planned and developed end-to-end solutions. Proficiency in C#, .NET More ❯

frameworks to visualize complex AI outputs. Problem Solving & Debugging: Excellent analytical skills with a knack for diagnosing issues and implementing effective solutions. Preferred Qualifications: Experience working in AI/ML projects or GenAI initiatives. Knowledge of cloud platforms such as AWS, GCP, or Azure. Familiarity with containerization (Docker, Kubernetes). Exposure to CI/CD pipelines and DevOps practices. Understanding More ❯

visualisation integrations such as dbt, 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 Work to ensure internal risk and admin processes are adhered to. Participate actively in the local Financial Services ecosystem, collaborating with our clients, FinTechs and Universities … you can select benefits that 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, so you can make a More ❯

mentoring, and working in Agile teams Desirable Working knowledge of cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes) Exposure to/hands-on skills with systems that use ML/Artificial Intelligence Familiar with messaging technologies, Entity Framework, and/or data analytics/BI tooling This a great opportunity to join a team of genuinely tech-driven specialists More ❯

mentoring, and working in Agile teams Desirable Working knowledge of cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes) Exposure to/hands-on skills with systems that use ML/Artificial Intelligence Familiar with messaging technologies, Entity Framework, and/or data analytics/BI tooling This a great opportunity to join a team of genuinely tech-driven specialists More ❯

be involved in everything from model development to field testing, supporting cross-functional teams and helping shape how data is used across the business. Key Responsibilities: Develop and refine machine learning models to support product innovation and performance analysis Collaborate with the R&D and Data teams to test and validate product ideas using real-world datasets Participate 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 ❯