2,226 to 2,250 of 6,363 Machine Learning Jobs in the UK

with 5+ years in AI/data consulting. Proven experience in leading large-scale AI/data transformation initiatives. Deep knowledge of AI/ML, big data platforms, and data governance. Strong business acumen and consultative selling skills. Master's/PhD in a relevant field (MBA preferred); certifications …/ML or cloud are a plus. Why you will love this job: Be at the forefront of GenAI innovation in the Telco space. Influence strategic decisions and shape the future of digital transformation. Work with global teams and top-tier clients on impactful projects. Please ignore any references ...

upcoming products that will delight and encourage millions of Apple’s customers every day! Responsibilities Design and implement state-of-the-art AI/ML that processes news, stocks, and books data to drive recommendations, power advanced search, and enable next-generation AI features. Develop datasets, design model architecture … similar. Experience designing user-facing machine learning features with interdisciplinary partners. Experience with recommender systems. Experience with text-centric AI/ML (LLMs, document classification, search, etc.) Experience delivering high quality software at scale. Ability to communicate effectively and collaborate with partner teams. Commitment to encouraging an open ...

concept through to secure, scalable, production-grade deployments in highly regulated environments. The successful candidate will combine deep technical expertise in AI/ML, LLMs, Generative AI and cloud platforms with strong delivery leadership and stakeholder engagement skills. They will be responsible for designing end-to-end AI architectures, leading … shaping technical roadmaps, and ensuring solutions meet stringent security, governance and operational requirements. Key Experience Required Proven track record delivering enterprise-scale AI/ML solutions into production Strong experience leading technical teams and complex transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such ...

concept through to secure, scalable, production-grade deployments in highly regulated environments. The successful candidate will combine deep technical expertise in AI/ML, LLMs, Generative AI and cloud platforms with strong delivery leadership and stakeholder engagement skills. They will be responsible for designing end-to‐end AI architectures, leading … shaping technical roadmaps, and ensuring solutions meet stringent security, governance and operational requirements. Key Experience Required Proven track record delivering enterprise-scale AI/ML solutions into production Strong experience leading technical teams and complex transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such ...

PySpark for large-scale data processing CI/CD — experience designing and implementing CI/CD pipelines for infrastructure and data workflows AI/ML frameworks — working knowledge of AI/ML frameworks and their application within architecture design GitHub Copilot — practical experience using GitHub Copilot within development/architecture … tools (QuickSight, Tableau, Power BI) Infrastructure as Code experience (Terraform/CloudFormation) Industry experience relevant to your business Exposure to streaming data (Kinesis) or ML pipelines (SageMaker) experince in financial domain OtherLanguages English: C2 Proficient Seniority Senior London, United Kingdom of Great Britain and Northern Ireland Req. VR-124688 Strategy ...

Backend Software Engineer (IC3) to join our AI & Data Products squad and help build the next generation of product features powered by AI, ML, and intelligent automation. This is a hands-on backend role focused on turning predictive models, LLM capabilities, and business intelligence into real product experiences. You will … into Spendesk's user journeys, helping reduce manual work and make our product more proactive and intelligent. You will collaborate closely with the 3 ML Engineers in the squad, as well as Product Managers, Designers, and applicative squads across Spendesk. Together, you will build production-grade services that expose ML ...

concept through to secure, scalable, production-grade deployments in highly regulated environments. The successful candidate will combine deep technical expertise in AI/ML, LLMs, Generative AI and cloud platforms with strong delivery leadership and stakeholder engagement skills. They will be responsible for designing end-to-end AI architectures, leading … shaping technical roadmaps, and ensuring solutions meet stringent security, governance and operational requirements. Key Experience Required Proven track record delivering enterprise-scale AI/ML solutions into production Strong experience leading technical teams and complex transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such ...

concept through to secure, scalable, production-grade deployments in highly regulated environments. The successful candidate will combine deep technical expertise in AI/ML, LLMs, Generative AI and cloud platforms with strong delivery leadership and stakeholder engagement skills. They will be responsible for designing end-to-end AI architectures, leading … shaping technical roadmaps, and ensuring solutions meet stringent security, governance and operational requirements. Key Experience Required Proven track record delivering enterprise-scale AI/ML solutions into production Strong experience leading technical teams and complex transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such ...

strong emphasis on Azure-based data solutions Expert-level knowledge of Azure and/or Snowflake services, including Data Factory, Data Lake, Azure ML, and Power BI/Fabric Proven experience with infrastructure-as-code using Terraform Experience building CI/CD pipelines via Azure DevOps and GitHub Actions Strong … Stakeholder Presentation Continuous Improvement Industry Keywords Healthcare Insurance Enterprise Data Platform Advanced Analytics Business Intelligence Tools & Technologies Azure Data Factory Azure Data Lake Azure ML Power BI GitHub #J-18808-Ljbffr ...

team, you will leverage deep operational experience to deliver complex change across report automation, platform enhancements and migrations, and the introduction of AI/ML-enabled capabilities. You will work closely with Operations, Technology, and Compliance to modernize processes end‐to‐end, strengthen controls and data quality, and ensure change … data flows. Lead delivery of transformation workstreams: report automation, platform rollouts, migrations, and re‐engineering. Drive adoption of intelligent automation (including AI/ML) in partnership with Technology and Data Science. Own the delivery lifecycle: requirements, impact assessment, UAT coordination, cutover planning, and stabilization. Deliver change with minimal BAU disruption ...

Engineer to lead data engineering activities for our Data Platforms and Services in London. You will ingest, cleanse and model data for BI reporting, ML and AI, ensuring quality and governance. The role emphasizes strong Azure skills (ADF, ADLS, Databricks), PySpark, Python and SQL, with a DevOps and CI/ ...

Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms ...

Google Inc. is seeking a Senior Data Scientist in London to advance reliability analytics. You will design ML tools and data pipelines, influencing platform reliability and change management across Google Cloud Platform. The role emphasizes collaboration with engineering and product teams to drive data-driven improvements. The Reliability Analytics Team ...

/CD, observability and deployment. About You You will be a Senior GenAI/NLP Engineer with strong experience delivering production AI/ML solutions across cloud environments. You'll have hands-on experience with LLMs, RAG, agentic AI, vector embeddings and model evaluation, alongside technologies such as AWS Bedrock … enjoy solving complex technical challenges to build secure, scalable and production-ready AI solutions. Key requirements: Strong professional experience in GenAI, NLP, AI/ML Engineering, or a similar role, with experience delivering production-ready solutions. Strong hands-on experience with LLMs, RAG pipelines, agentic AI, vector embeddings, and model ...

ability to analyse large data sets to uncover new insights. You'll work in a multidisciplinary, highly technical environment, developing scalable data mining and ML solutions. Proficiency with C++, Java, Python, SQL/Excel and Hadoop-based tools is required. MSc or PhD in a quantitative field is preferred. #J ...

Barclays is seeking a skilled Data Scientist to design and implement ML models for financial crime risk management, including transaction monitoring and fraud detection. You will manage data pipelines, ensure data quality, and explore analytics to support governance across multiple jurisdictions. The role requires hands-on experience with SQL, Python ...

Требования: Strong software engineering background with Python or similar; Track record of building production systems, not just prototypes; Hands-on experience with AI/ML systems, including LLMs, classifiers, decision models, or similar; Experience integrating APIs and working with distributed systems; Experience designing prompts, retrieval pipelines, or ML inference workflows ...

Requirements include 2+ years in software engineering, strong Python/Go skills, cloud experience (AWS/GCP/Azure), and familiarity with AI/ML lifecycles. Role involves client-facing work and travel to client sites. #J-18808-Ljbffr ...

work with leading UK clients and government departments. These hands-on, client-facing roles focus on building data platforms and pipelines, enabling data analytics, ML training, and BI reporting. Some time on-site with clients in London area will be required. You will apply software engineering discipline to data projects ...

What You’ll Be Doing Lead design and development of Java microservices (Spring Boot/Quarkus) on Google Cloud. Drive integration of AI/ML and generative AI capabilities into sales applications. Partner with innovation and data teams to operationalize AI into production systems. Guide architecture decisions on APIs, event … work in the US without visa sponsorship. Practical exposure to Python-based services and ability to extend/refactor them. Experience integrating AI/ML or generative AI services into production enterprise systems. Understanding of security, governance, and responsible AI considerations. Ability to influence architectural direction without direct supervisory authority. ...

currency) across domains AI, Analytics & Data Products Define the architecture for data products – curated, well‐documented datasets served to analytics, reporting, and AI/ML consumers Design feature stores and data pipelines that support AI/ML model training and inference for use cases such as FX pricing, payment anomaly … context), Glue, Lake Formation, IAM, VPC Data Governance Data lineage, cataloguing (Apache Atlas/Collibra/Snowflake Horizon), GDPR, BCBS 239, MDM AI/ML Data Query & Performance SQL optimisation, clustering keys, partitioning, query profiling, cost‐based tuning Data Landscape The Data Architect will work across the following technology landscape. ...

data quality metrics, including coverage, freshness, accuracy, enrichment value, and signal-to-noise ratio. Translate intelligence needs into technical requirements for data scientists, ML engineers, and pipeline developers. Collaborate with Threat Intelligence and engineering leadership to identify and deliver high-impact data and analytics capabilities. Prioritize ingestion and analysis improvements … Bring: Data-Driven Product Thinker with experience managing large-scale data or analytics systems. Strong Technical Acumen, able to engage with data pipelines, ML workflows, and backend architecture. Experienced Cross-Team Leader, skilled at aligning multiple engineering and data teams around shared goals. Familiar with Threat Intelligence or Cyber Data ...

platforms and advanced compute and storage infrastructure across Novo Nordisk’s R&D and enterprise ecosystem. Build the foundations that allow scientists, data scientists, ML engineers, and product teams to accelerate drug discovery, clinical development, and business outcomes through scalable, compliant, and responsible AI. Your main responsibilities include: AI Platform … responsible AI Drive adoption across research, pre-clinical, clinical, and business functions Architecture and Engineering Lead architecture and engineering teams responsible for AI/ML platforms, data platforms, AI infrastructure, cloud platforms, Kubernetes, and platform operations Deliver secure, scalable, observable, and cost-effective AI services across cloud, hybrid cloud ...

Strong Python expertise in production environments Experience building cloud-native systems on AWS (Lambda, DynamoDB, S3, EventBridge) Experience working with LLMs or AI/ML systems Strong understanding of APIs, async systems, and scalable architecture Nice to Have Experience with AI safety, guardrails, or policy enforcement Background in agentic systems … autonomous workflows Experience in financial services or regulated environments Familiarity with Node.js/TypeScript, Terraform or CDK Knowledge of observability tools and ML fundamentals You’ll Thrive If You Are Pragmatic and able to balance speed with long-term quality Curious about AI, especially safety and responsible usage Comfortable working ...

drug discovery platform. Working within the Data Infrastructure team, you will lead complex initiatives spanning AWS platform engineering, scientific data systems and AI/ML workloads. You will collaborate closely with cloud engineers, data engineers, bioinformaticians, AI scientists, computational biologists, and experimental scientists to turn evolving scientific needs into secure … work in the UK. Responsibilities: Lead the architecture and evolution of our AWS-based infrastructure across cloud services, scientific data platforms and AI/ML workloads, balancing delivery speed, reliability, security and cost. Design and implement reusable infrastructure-as-code, CI/CD and environment-management patterns that make production ...