1 to 25 of 27 Remote/Hybrid Machine Learning Jobs in Glasgow

transformation in secure environments where quality, assurance and governance matter.Your work will help clients move from data science experimentation to production-ready AI and ML solutions that are scalable, explainable, secure and aligned to measurable mission outcomes.Connect to your career at Deloitte Deloitte drives progress. Using our vast range … action we take, guiding us to deliver impact how and where it matters most.Connect to your opportunity We are seeking to hire experienced ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties ...

agentic workflows that tie it all together. You will partner with computational chemists, CADD scientists, software engineers, and hardware engineers, and apply AI/ML to build the next generation of Chemify's platform. What sets this role apart is the combination of breadth of ML problems — generative chemistry, vision … search, agents — paired with a robotic platform that turns your models into physical experiments. If working across a wide range of hard ML problems on a real-world platform sounds like the right shape of job for you, we'd love to welcome you to our team. Key Responsibilities Build ...

take, guiding us to deliver impact how and where it matters most.Connect to your opportunity We are seeking to hire talented AI/ML Engineers within our AI Scaling and Transformation team, a centre of excellence in Deloitte’s Engineering, AI & Data service offering.You will work alongside clients, third parties … technical capability with client-facing delivery, helping to translate business needs into production-ready AI and machine learning systems.As an AI/ML Engineer, you will play a key role in designing, developing and delivering data and AI solutions for our clients. In this role ...

multidisciplinary teams and to manage relationships with stakeholders.Relevant industry certifications (e.g., AWS, Azure, GCP, or equivalent) and completion of technical courses in AI/ML, data engineering, or cloud technologies are desirable.TECHNICAL PROFICIENCYStrong proficiency in at least one modern programming language commonly used in AI/ML (e.g., Python … with hands-on experience developing, training, and deploying machine learning models.Practical experience with leading AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost), including model selection, tuning, and evaluation.Experience implementing end-to-end machine learning workflows, including data preprocessing, feature engineering, model development ...

understand operational challenges and translate them into scalable AI and data-driven solution architectures.Design, develop and deploy AI and Generative AI solutions, including machine learning models, data pipelines and application components that are secure, reliable and performant.Drive the operationalisation of AI solutions using modern engineering and MLOps practices … EDUCATION & EXPERIENCEDegree or equivalent experience in Computer Science, Artificial Intelligence, Data Engineering, Mathematics or a related discipline.Proven experience designing, building and deploying AI or machine learning solutions in a consulting, public sector or enterprise technology environment.Experience owning technical deliverables or workstreams, managing priorities and engaging effectively with both ...

design, embedding modern AI and analytics patterns into enterprise data platforms and services.Maintain an active awareness of emerging trends in data architecture, AI/ML, and enterprise technology, assessing their potential impact and value for Cigna, advising senior leadership on AI strategy, feasibility and adoption paths.AI ArchitectureDefine architectural patterns … field.10+ years of experience building and architecting large-scale software or AI systems in medium-to-large enterprises.5+ years of experience with AI/ML, NLP, or Generative AIExperience working in regulated or compliance-sensitive environments (e.g., healthcare, finance, insurance, global enterprises).Strong communication skills with the ability to influence ...

business. This is an exciting opportunity to lead the strategy, architecture, and delivery of innovative data platforms that enable business-critical decision making, support machine learning capabilities, and help drive our journey towards Net Zero.Working at the intersection of data science, architecture, and business strategy, you'll influence … design scalable solutions that turn complex business requirements into valuable, actionable insights.You'll also have experience with:Data warehousing, database design, and schema developmentAzure ML, Synapse, AWS, SQL, and Unix-based environmentsData governance, master data management, and testing frameworksMachine learning, statistical analysis, and data visualisation techniquesLeading and managing external ...

design and delivery of secure, scalable and resilient AWS environments.AWS technologies and services across compute, storage, networking, databases, analytics, integration, security and management.AI and machine learning services on AWS, including Amazon Bedrock, Amazon SageMaker AI, Amazon Q, Amazon Comprehend, Amazon Transcribe, Amazon Rekognition and related managed AI services.Generative … cost management, observability and operational readiness.Providing an authoritative point of view on how AWS enables emerging technology trends such as generative AI, agentic AI, machine learning, data platforms, serverless, containers and modern application architectures.Helping clients design and deliver AI-enabled solutions on AWS using services such as Amazon ...

societal impacts using your skills.Working at the intersection of client needs and engineering excellence, you will ensure that our solutions, spanning GenAI and traditional ML, are technically feasible, cost-efficient, and ready for the rigors of the real world.If you are a builder who thrives on deploying production-grade … Your key responsibilities will include:Technical Architecture & EngineeringArchitect End-to-End AI Systems: Design scalable, secure, and production-ready architectures that integrate LLMs and ML models into complex enterprise workflows.Bridge Design & Implementation: Oversee the full technical lifecycle, from selecting the right model architectures to ensuring robust CI/ ...

represent Deloitte in client leadership forums.The following will be an added advantage:Relevant certifications in cloud and AI (e.g., AWS, Azure or GCP; machine learning or data engineering certifications).Experience establishing responsible AI practices (governance, risk and controls) for generative AI and advanced analytics.Consulting experience leading multi-workstream ...

version-controlled, and auditable provisioning practices.Familiarity with hybrid and multi-cloud architectures, including experience integrating on-premises environments with GCP.Working knowledge of AI and ML services on Google Cloud, with a clear understanding of how platforms such as Vertex AI and Gemini Enterprise can be positioned to drive measurable client ...

that ingests, stores, and surfaces telemetry from space and ground assetsBuild analytics and visualization tools that surface operational insight and not just raw dataApply ML and AI techniques to detect anomalies, predict failures, and optimize constellation performanceWork directly with data at every layer from pipeline design to queryReliability Engineering: Define ...

Compute Engine, Google Kubernetes Engine (GKE), Cloud SQL, BigQuery, Dataflow, Cloud Storage, VPC, IAM, Cloud Functions, Cloud Run, and Apigee.Demonstrable experience with AI/ML services on Google Cloud, with an excellent understanding of how platforms like Gemini Enterprise can drive business value.Substantial understanding of cloud security best practices, compliance ...

version-controlled, and auditable provisioning practices.Familiarity with hybrid and multi-cloud architecture, including experience integrating on-premises environments with AWS.Working knowledge of AI and ML services on AWS, with a clear understanding of how platforms such as Amazon SageMaker, Amazon Bedrock, and Amazon Q Business can be positioned to drive ...

cloud security best practices, compliance frameworks, and network architecture within GCP, including VPC Service Controls, IAM governance, and encryption standards.Working knowledge of AI and ML services on Google Cloud, with a clear understanding of how platforms such as Vertex AI and Gemini Enterprise can be positioned to drive measurable client ...

build architecture community and capability.Use architecture knowledge and skills to support business development, build external eminence and lead the planning and running of architecture learning and development initiatives.Communicate to CTO/CIOs and board stakeholders on next generation digital and innovative technology solutions. Drive large complex and innovative transformation … industry.Proficiency in software development lifecycle (SDLC) and demonstrates depth and breadth in at least 6 of these domains: Applications, Data, DevOps, Enterprise Architecture, Infrastructure, Machine Learning/AI, Platforms, Security, Integration,Business Architecture or equivalent.Demonstrated experience in large-scale transformation programmes in Banking and Capital Markets.Experience in providing ...

performing software delivery teams, including distributed or hybrid teams Experience working with or managing teams that include data engineers, data scientists, or AI and ML practitioners Comfort operating in a consultancy environment - managing competing client and internal demands, contributing to business development, and representing Scott Logic professionally What ...

implementations or M&A Establish enterprise operational data quality KPIs/SLAs, oversee master data workflows, and ensure data readiness for AI/ML initiatives by collaborating with BI and IT teams Perform other duties as assigned What We Are Looking For: 10+ years of experience in master data management ...

maintain contract templates, playbooks and negotiation principles. Product, Data & Privacy Partner with Product and Engineering on new product features, data usage, AI/ML initiatives, and regulatory considerations. Advise on data protection, cybersecurity, and cross‐border data transfer issues (GDPR and other global regimes). Support privacy compliance frameworks, DPIAs ...

relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingAbout the roleReports to: Operations Manager (US Cards & Loans)As a Team Lead in Customer Operations … ensuring they deliver high-quality, empathetic support and achieve team and individual KPIs (e.g. quality, compliance, productivity, SLAs).Foster a culture of accountability, continuous learning, and best practice, tailoring support and development to the needs of each team member and identifying emerging talent.Conduct regular individual and team performance reviews ...

ecosystem applications (APIs, events, SLT/CDC, iPaaS/BTP). • Prioritise AI use cases (forecasting, ATP optimisation, document AI, anomaly detection). • Define ML data contracts and embed models in operational processes (Fiori, SAC). • Establish MLOps foundations: pipelines, CI/CD, monitoring, retraining, drift. • Chair the Data ...

company implements its development roadmap, the distinction between these two aspects will blur with satellite operations increasingly transitioning to automated AI/ML tools to manage the fleet. The ideal candidate combines a rigorous, process-driven approach to software quality with an analytical mindset and operational awareness to allow them … operations tooling, improving Fault Detection, Isolation and Recovery (FDIR), increasing automation and raising the availability of the satellite fleet through transition to AI/ML based systems. Serve as the mission assurance interface to the operations team, software engineers, and systems engineers during anomaly investigations and resolution. Basic Skills/ ...

working | £600–£700 perday | Outside IR35 Pursuit Marketing runs B2B outbound salescampaigns at scale. We’re looking for an experienced Data Scientistto take an ML capability from prototype through to production. This is ahands-on delivery role, rather than a research position. The details £600–£700 per day, depending … scale Work closely with CRM and SDR teams to embed outputs into day-to-dayprocesses Help establish the processes and infrastructure needed to make ML repeatableand scalable If you're a Data Scientist who enjoys takingmodels out of the notebook and making them work in the real world ...

voice of the team in company-wide conversations about architecture, infrastructure, and platform strategy Influence how Spire thinks about automation, data, and AI/ML across the broader engineering organization Basic Qualifications 7+ years of software engineering experience, with at least 3 in a technical leadership or staff-level individual … find it. The communication and influence skills to drive technical decisions across teams you do not directly control Preferred Qualifications Experience applying AI/ML or advanced analytics to operational or monitoring problems Experience writing performance software in Rust Background in space systems, aerospace, or highly constrained real-time environments ...

technical voice of the team in company-wide conversations about architecture, infrastructure, and platform strategyInfluence how Spire thinks about automation, data, and AI/ML across the broader engineering organizationBasic Qualifications: 7+ years of software engineering experience, with at least 3 in a technical leadership or staff-level individual contributor … find it.The communication and influence skills to drive technical decisions across teams you do not directly controlPreferred Qualifications: Experience applying AI/ML or advanced analytics to operational or monitoring problemsExperience writing performance software in RustBackground in space systems, aerospace, or highly constrained real-time environmentsExperience building data lakes, telemetry ...