9 of 9 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. ...

advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead … experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact ...

troubleshoot issues, and provide ongoing support. AI Model Integration : Collaborate with data scientists and developers to integrate prompt-based solutions into existing AI/ML pipelines. Ensure compatibility with OCR tools and document processing systems. Data Quality & Validation: Implement validation logic to ensure extracted data meets quality standards. Work with … APIs and cloud-based AI services (e.g., Azure OpenAI, AWS, Google AI). Excellent problem-solving skills and attention to detail. Background in NLP, machine learning, or data science. Experience with form processing systems in finance, healthcare, or enterprise environments. Knowledge of data privacy regulations and secure handling ...

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. ...

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 ...