26 to 39 of 39 Machine Learning Jobs in Edinburgh

Fine-tune,evaluate,andproductionisemulti-modalLLMsforbusinessapplications. DriveexperimentationandprototypingofadvancedML/AItechniques Providetechnicaldirection,mentoring,andhands-onguidancetothedatascienceteam. Workwithengineering,product,andbusinessstakeholderstoalignMLstrategywithbusinessgoals. Architectandproductioniseend-to-endMLpipelinesonAzure,whileensuringscalability,reproducibility,andmonitoringofdeployedmodels. Requirements 6yearsindatascience/ML,withatleast2yearsinatechnicalleadrole. Deepexperienceintraininganddeployingcomputervisionmodelsintoproduction ProventrackrecordwithLLMfine-tuning,promptengineeringandproductionisation DeepexperienceinMLOpsonAzure,includingCI/CD,monitoringandscalingpipelines. StrongcodingskillsinPython,withframeworkssuchasPyTorch,FastAPIandAzureCLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions ...

transparency, and entirely new ways of interacting with financial information. The role We are looking for an exceptional Senior Software Engineer with a strong ML and LLM focus, and the ability to build production-grade AI systems end-to-end. This is a pivotal role in which you will shape … adapting or pivoting when necessary Collaborate closely with product and data teams to transform intricate financial and AI requirements into robust, production-ready features ML, AI & LLM Systems Design and implement LLM-powered features using both SaaS models and locally hosted models Build and evolve Retrieval-Augmented Generation (RAG) pipelines ...

Responsibilities Create deliverables addressing common requests in the nursing domain. Review peer-developed deliverables to enhance AI research. Diagnose and solve real issues in machine learning systems. Contribute expertise to cutting-edge AI research. Work independently and asynchronously to meet deadlines. Qualifications Must-Have 4+ years professional experience ...

common requests in your professional domain. Review peer-developed deliverables to enhance AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines. Contribute expertise to cutting-edge AI research while working on your own schedule. Qualifications ...

common requests in your professional domain. Review peer-developed deliverables to enhance AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines. Contribute expertise to cutting-edge AI research while working on your own schedule. Qualifications ...

common requests within your professional domain. Review peer-developed deliverables to enhance AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines while contributing to cutting-edge AI research. Collaborate with AI labs to support research ...

requests in your professional domain. Review peer-developed deliverables to enhance AI research quality. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet project goals. Contribute expertise to cutting-edge AI research while maintaining flexible hours. Qualifications Must ...

common requests within your professional domain. Review peer-developed deliverables to enhance AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines while contributing to cutting-edge AI research. Collaborate to improve AI model performance ...

common requests within your professional domain. Review peer-developed deliverables to enhance AI research. Diagnose and solve real issues in your domain to advance machine learning systems. Work independently and asynchronously to meet deadlines while contributing to cutting-edge AI research. Collaborate to improve AI model performance ...

Data Scientists Wanted – Enterprise AI/ML Transformation A leading global tech consultancy is building out their Data Science capability for a major client – and we're hiring across multiple levels! Location: Coventry (Hybrid – 2 days on-site) Contract Type: Permanent The Roles: Senior Data Scientist (5+ years) – Lead complex … ML initiatives, deploy production models, mentor team members, and drive AI strategy aligned with business outcomes. Data Scientist (3+ years) – Develop and deploy ML/AI models, collaborate with data engineers on scalable pipelines, and translate business problems into analytical solutions. Core Tech Stack: Python & SQL (Expert level) Azure ML ...

with Snowflake Cortex CLI to enable feature engineering pipelines, model training and inference tasks, automated pipeline orchestration, and monitoring and evaluation of Cortex-driven ML models. Establish best practices for DBT–Cortex architecture and usage patterns. Collaborate with data scientists and ML engineers to produce Cortex workloads in Snowflake. Build … orchestration tools (Airflow, Dagster, Prefect, etc.). Solid understanding of modern data engineering, ELT patterns, and version-controlled analytics development. Preferred Prior experience operationalizing ML workflows inside Snowflake. Familiarity with Snow-park, Python UDFs/UDTFs. Experience building semantic layers using DBT metrics. Knowledge of MLOps/DataOps best practices. ...

company that values inclusion. A little about ADP: We are a global leader in human resources technology, offering the latest AI and machine learning-enhanced payroll, tax, human resources, benefits, and much more. We believe our people make all the difference in cultivating an inclusive, down-to-earth ...

matplotlib/seaborn) or R for data analysis. Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets. AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics. Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL. Preferred Experience with …/ML model evaluation or quality assurance. Background in finance or willingness to learn finance domain concepts. Experience with multi-dimensional failure analysis. Familiarity with benchmark datasets and evaluation frameworks. 2-4 years of relevant experience. Application Process (Takes 20–30 mins to complete) Upload resume AI interview based ...

test coverage into the code itself – no separate QA layer Improve performance, scalability, and observability across our stack Work closely with data/ML to productize AI-powered agents end to end Raise the engineering bar through design reviews, pairing, and mentorship Optimize for real impact, customer outcomes, and fast … ship, measure, and refine rather than over-architect Motivated by solving real user problems, not just abstract puzzles Excited to work where AI/ML is deeply embedded in the product, not bolted on Why Boam AI Join a no-politics, high-trust, low-ego, and high-talent team ...