13 of 13 Permanent Data Science Jobs in Midlothian

Head of Labs, Data Science, AI, LLMs, SLMs, Agentic AI, Innovation, Data, Remote with Travel Head of Labs, AI & Data Leader required to work for a fast moving and growing organisation based all over the country! This role is mainly remote but there will be some … different to most that you are seeing out there right now. We could go with a pure corporate background, someone who graduated in Computer Science and has had a heavy corporate journey, ready to head into something differentOR, someone who has a whacky technology past, moved into ...

where connectivity is unreliable and power is constrained. Their vision is straightforward and radical: machine learning models that run on embedded devices, processing sensor data in the field, making instant decisions without relying on cloud infrastructure or continuous data transmission. This is not a supervised learning problem … demanding form: taking sophisticated sensor-based classification systems and making them run reliably on devices with megabytes of RAM, in real-world environments where data is noisy, conditions are uncontrolled, and failure is not an option. The client is at the frontier of what embedded ML can do. Most ...

analysis, and implement effective solutions. Mentor junior developers and promote engineering best practices, while staying current with developments in web, geospatial, cloud, AI, and data technologies. What you need! Proven experience developing enterprise-grade full-stack web applications. Front-end development skills using HTML, CSS/Sass, TypeScript, modern … frameworks. Backend development experience with Node.js, Python, REST APIs, microservices, and relational or document databases (e.g., PostgreSQL/PostGIS, Firebase, BigQuery). Experience with data science, data analysis, and data-driven application development, including working with datasets, statistical or analytical techniques. Knowledge of cloud platforms ...

hackajob is partnering directly with Leonardo to hire for this role. Job Description: Your Impact As a Data Engineer, you will design, develop, deploy, and maintain data architecture which employs various methods to transform raw data into processed data. You will own the DataOps infrastructure, ensuring … performance, reliability, and scalability of data ingestion and processing pipelines to support evolving business and operational demands. To succeed in this data engineering position, you should have strong problem-solving skills and the ability to combine data from different sources. Data engineer skills also include familiarity ...

with the 2nd line fraud risk teams to ensure models, rulesets and strategies are effective. Ensuring all compliance, audit & control frameworks are followed - using data to support the confirmation of these processes are adhered to regulation standard. Sharing best practice across JP Morgan Chase & Co. Superior written, oral communication … levels of management and partners Required qualifications, capabilities and skills Master's degree in numeric fields or STEM related fields, such as statistics, computer science, data science, etc Knowledge of Fraud processes and products Experience in coding languages such as SQL or Python #ICB ABOUT US J.P. ...

delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong stakeholder management with ability to influence … legal, risk, security, data science and engineering leads. - Comfortable operating on hybrid client engagements and delivering to executive audiences. Benefits summary: - Comprehensive benefits package, training budget and certification support. - Hybrid working, career progression on technical track, and access to multidisciplinary teams. - Competitive pension, performance bonus and private healthcare ...

solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven … prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions ...

focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment ...

focus on outcomes, not just training. ITOL Recruit has over 15 years of experience supporting candidates into roles across AI, machine learning, and data science roles. From the beginning of your journey to the end, you are supported by qualified tutors, and at the end, our specialised recruitment ...

Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. ...

Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. ...

helping them develop robust governance frameworks, policies and operating models. You'll work closely with senior stakeholders across business, legal, compliance, risk, technology, security, data and engineering teams to deliver practical solutions that enable innovation while meeting regulatory and operational requirements. Key Responsibilities as an AI Governance Lead Support … lifecycle governance across model development, validation, deployment, monitoring, explainability, transparency, accountability and human oversight. Advise organisations on the governance implications of Generative AI, including data usage, intellectual property, security, privacy, bias and model risk. Facilitate workshops, governance forums and risk assessments with senior client stakeholders. Develop tailored AI governance ...

even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided … anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping ...