11 of 11 Machine Learning Jobs in Midlothian

problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineerdesigning and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, youll be working with some … models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning ...

development, and deployment the practical build of the solutions that bring ideas to life. One important note: if your passion lies in AI and machine learning, this isnt the scheme for you. Those roles sit within our Data Science and AI Industrial Placement Scheme. One year. Real impact … challenges. Support to succeed Youll get: In-house training on Engineering the Lloyds Way. A buddy and experienced mentors to guide you through. Agile learning culture with access to Viva Learning, Learning Management Systems and on-demand courses. Networking opportunities with colleagues across the Group. ...

Azure, or GCP A systems-thinking mindset — comfortable writing software that safely interacts with physical hardware and high-voltage systems Exposure to machine learning for forecasting or optimisation is a plus Strong communication skills and the ability to thrive in a fast-moving, collaborative environment A genuine commitment … technology shaping the future of clean power See your software deployed in real-world, grid-connected systems Join a supportive, ambitious team that values learning, ownership, and innovation Competitive salary (£45k–£60k DOE) plus benefits and clear progression pathways Be part of a company making a measurable impact ...

across multiple languages and frameworks (weve used Python, Java, Kotlin, Node.js, C#, JavaScript, Express, React and Next.js to name a few). Passion for learning new technologies and helping others do the same. Proven track record of leading software architecture design and strategic technology initiatives. Strong expertise in cloud … managing client relationships at a senior level. Experience delivering government or public sector projects. Eligible for (or holding) SC security clearance Knowledge of AI, machine learning, or other emerging technologies relevant to software engineering. Experience promoting knowledge sharing. This might be through mentoring, blogs, talks, or internal communities. ...

forms and documents. Develop automated workflows for document ingestion, OCR processing, extraction, and validation. Integrate AI solutions with enterprise systems and existing AI/ML pipelines. Support production deployments, monitor performance, and resolve issues. Implement data-quality checks and collaborate with QA teams to address extraction errors. Document prompt strategies ...

engineering excellence. As Lead Data Engineer, you'll be hands-on in designing and building scalable data platforms and pipelines that enable advanced analytics, machine learning, and business-critical insights. You'll shape the technical vision , set best practices, and make key architectural decisions that define how data ...

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 ...

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 ...

Fine-tune,evaluate,andproductionisemulti-modalLLMsforbusinessapplications. DriveexperimentationandprototypingofadvancedML/AItechniques Providetechnicaldirection,mentoring,andhands-onguidancetothedatascienceteam. Workwithengineering,product,andbusinessstakeholderstoalignMLstrategywithbusinessgoals. Architectandproductioniseend-to-endMLpipelinesonAzure,whileensuringscalability,reproducibility,andmonitoringofdeployedmodels. Requirements 6+yearsindatascience/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 ...

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 ...

This is a highly influential role for a technical leader with deep experience across Azure Cognitive Services, Python, C#, React , and modern AI/ML architectures. Key Responsibilities Define the organisation's AI architecture approach and ensure alignment with strategy, standards, and compliance requirements. Evaluate and integrate a wide range … delivery. Essential Skills & Experience Demonstrable experience shaping end-to-end AI capabilities aligned to business and technical strategy. Strong background designing AI/ML solutions with Azure Cognitive Services . Hands-on expertise in: Python (data workflows, Azure SDKs) C#/.NET (enterprise integration) React (front-end for PoCs ...