11 of 11 Machine Learning Jobs in Midlothian

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 ❯

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 ❯

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 ❯

developer on a project and 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 using an ETL/ELT … development approach Proven experience working 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 to join the data portion More ❯

s degree in computer science or equivalent - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations - Experience in machine learning, data mining, information retrieval, statistics or natural language processing Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our More ❯

Plan, deliver, and oversee projects across multiple data and technology workstreams. Build and operationalise data feeds and ensure robust governance and reconciliation processes. Support predictive analytics, BI reporting, and machine learning initiatives to improve decision-making. Lead stakeholder engagement across commercial, technical, and compliance functions. Collaborate with engineering, data science, and operations teams to ensure timely and quality More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

m working on a fantastic opportunity with a fast-growing SaaS company that's transforming how the hospitality sector approaches pricing and forecasting . The team is applying advanced ML techniques to solve real commercial problems-everything from demand forecasting to booking behaviour clustering and light NLP use cases. THE ROLE: You'd join a high-calibre team in a … modelling solutions. A Data Scientist (Pricing) will need to: Build prototypes and conduct in-depth experimentation using Python and Pandas Research and develop new pricing models Apply statistical and machine learning techniques Explore and test data-driven approaches to price sensitivity and elasticity Collaborate with a highly technical team YOUR SKILLS AND EXPERIENCE: A successful Data Scientist will More ❯

from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ More ❯

within Financial Services Experience in Consulting Experience in transformation programs focused on data maturity and regulatory remediation. Practical knowledge of data governance frameworks and tools. Understanding of AI/ML adoption and governance in insurance or banking. Exposure to cloud data environments and modern data architectures. More ❯

team focused on delivering intelligent automation solutions using cutting-edge technologies. In this role, you'll help build and evolve a production-grade automation service that applies AI/ML to process high-volume, low-complexity workflows.You'll work on a modern AWS serverless platform, developing components for document analysis, signature detection, and predictive modelling. Collaboration with cross-functional teams … is key to ensuring seamless integration with existing digital services. What You'll Need to Succeed Essential Skills Strong experience with OCR, NLP (e.g., spaCy), and machine learning. Proficiency in AWS (Lambda, S3, API Gateway, CloudFormation). Skilled in Python and/or TypeScript. Experience with serverless architecture, Agile delivery, and XP practices. Familiarity with cloud monitoring tools (e.g. More ❯