5 of 5 Remote/Hybrid 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 ...

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 ...

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 ...

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 ...