1,226 to 1,250 of 6,476 Machine Learning Jobs in the UK

Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. Strong hands-on experience with AI Development tools like Claude CLI, Windsurf Solid understanding of the ML lifecycle; exposure ...

from technical scoping and architecture design through production launch. Cross-Functional GenAI Alignment: Drive execution and manage complex technical dependencies across systems engineering, Core ML, Research, and Product teams to deliver unified SGP capabilities with architectural consistency. Technical Translation & Requirements: Translate complex infrastructure metrics (LLM inference optimization, GPU utilization, compute … proven track record of having built and shipped technical products or platforms from scratch (e.g., internal cloud infrastructure, developer APIs, distributed systems, or ML platforms).Platform Domain Expertise: 3+ years of dedicated experience managing programs focused directly on core engineering infrastructure, cloud-native ecosystems (AWS/GCP), container orchestration (Kubernetes ...

behaviour, investment, sales and performance. Embed privacy, security, consent, retention and cross-border data requirements into the architecture from the outset. Define how analytics, ML, AI services and agents access structured data safely and consistently. Produce data models, flows, lineage, architecture decision records and reusable design patterns for engineering … ideally including dbt. Experience with consumer, digital and transactional data at scale, including web and app analytics and GA4. Understanding of data design for ML, AI or automated decisioning, including trusted definitions, controlled access and decision/outcome capture. Knowledge of privacy and security by design across multiple jurisdictions, including ...

behaviour, investment, sales and performance. Embed privacy, security, consent, retention and cross-border data requirements into the architecture from the outset. Define how analytics, ML, AI services and agents access structured data safely and consistently. Produce data models, flows, lineage, architecture decision records and reusable design patterns for engineering … ideally including dbt. Experience with consumer, digital and transactional data at scale, including web and app analytics and GA4. Understanding of data design for ML, AI or automated decisioning, including trusted definitions, controlled access and decision/outcome capture. Knowledge of privacy and security by design across multiple jurisdictions, including ...

behaviour, investment, sales and performance. Embed privacy, security, consent, retention and cross-border data requirements into the architecture from the outset. Define how analytics, ML, AI services and agents access structured data safely and consistently. Produce data models, flows, lineage, architecture decision records and reusable design patterns for engineering … ideally including dbt. Experience with consumer, digital and transactional data at scale, including web and app analytics and GA4. Understanding of data design for ML, AI or automated decisioning, including trusted definitions, controlled access and decision/outcome capture. Knowledge of privacy and security by design across multiple jurisdictions, including ...

solutioning, and engineering alignment of a large-scale Wealth Management platform. You will work across applications, UI services, APIs, integrations, data, databases, AI/ML, AWS Cloud, infrastructure, Kubernetes, Docker, DevOps, security, performance, scalability, and cost optimization. You are expected to be hands-on, technically deep, and closely engaged with … Kubernetes) and embed complete CI/CD/DevSecOps lifecycles. Data & AI Architecture: Provide technical direction across RDBMS, NoSQL, Data Lakes, and AI/ML capabilities (LLM integration, RAG, vector databases). Performance & Security: Lead latency profiling, database tuning, DevSecOps, secrets management, and infrastructure sizing. Hands-On Leadership & Troubleshooting: Review ...

level. You’ll be a Lead Machine Learning Engineer. The role will combine technical leadership, delivery leadership and line management responsibility for ML engineers within Aioi R&D Lab. It will help shape ML engineering best practice, support solution design, mentor junior engineers, and lead multidisciplinary teams across … future, and share in our success, we’d love to hear from you. BE THE NEXT BIG THING, NOW. Responsibilities Line manage and develop ML engineers, providing coaching, mentoring, feedback and performance support; contributing to hiring, onboarding and capability development within the ML engineering function. Maintain a meaningful individual contribution ...

credential handling for external and internal integrations. Build end-to-end data flows from source through governed ingestion and curated layers to BI, ML or application consumption. Required Hands-on Technical Skills Deep hands-on Azure Databricks implementation and troubleshooting Databricks Serverless and compute/workload optimisation Azure identity, networking … RStudio migration or consolidation experience. Migration of analytical/data science workloads (convert and migrate R development/Libraries to Databricks). AI/ML, LLM integration, model lifecycle, RAG/vector retrieval or model-serving experience. Large-scale enterprise platform transformation and regulated-industry experience. Strong cost optimisation ...

with Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferredStrong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. Strong hands-on experience with AI Development tools like Claude CLI, WindsurfSolid understanding of the ML lifecycle; exposure ...

looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science team. You will trailblaze the development of data sciencealgorithms,while building, leading, nurturing and retaining a high … Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib) Strong software development skills (Python is the preferred language) Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow Strong management and leadership skills - previous experience managing a team Strong influencing, communication and stakeholder management skills Be Customer ...

financial services buyersDesign and lead proof of concept engagements covering risk analytics, regulatory data platforms, real-time fraud detection, customer intelligence, and AI/ML workloads in FSI environmentsAct as a subject matter expert on financial services data architecture, translating complex regulatory and technical requirements into practical, production-ready Snowflake … customersDeep understanding of financial services data use cases including risk management, regulatory reporting (Basel, MiFID II, GDPR), market data, fraud analytics, and AI/ML for credit and customer intelligenceStrong hands-on expertise with cloud data platforms, ideally including Snowflake, and the ability to architect and demo enterprise-grade solutions ...

working with a small team who deliver AI capabilities for the UK government. You'll be curious about all flavours of AI from classical ML to the latest generative and adversarial techniques and keen to keep learning as the field moves. You'll bring a general understanding of software … engineering alongside your ML knowledge and enjoy research, experimenting with new approaches and figuring out how they translate into practical capability for our customers. You'll work closely with a small, high-performing team of engineers and researchers, contributing ideas and picking up new skills as you go. Our work ...

looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science team. You will trailblaze the development of data sciencealgorithms,while building, leading, nurturing and retaining a high … Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib) Strong software development skills (Python is the preferred language) Proven experience in deploying ML/AI services suing Kubernetes & KubeFlow Strong management and leadership skills previous experience managing a team Strong influencing, communication and stakeholder management skills Be Customer ...

implementing complex analytical logic that translate nuanced geopolitical and financial risk into structured, interpretable outputs Building and maintaining scalable data pipelines and graph-based ML systems that power risk scoring and entity analysis Partnering closely with Research, Product, and Engineering teams to understand evolving risk frameworks and translate them into … methods to complex, real-world problems Proficiency in Python, SQL, and working with graph databases or knowledge graph structures Experience with graph analysis, graph ML, or network analysis — professional experience is a strong differentiator Comfort working across research and data engineering contexts — this role spans all three Experience with Docker ...

LangGraph, LangChain, Haystack or similar , together with the ability to work below the framework level when required. Experience designing and deploying AI/ML systems into genuine production environments. Strong understanding of model inference, latency, performance, data pipelines, state, memory and tool/function calling. Experience building search and retrieval … development principles, including ISO 27001, NIST or OWASP. Experience within defence, national security or other highly regulated environments. Contributions to open-source AI/ML projects. Security Clearance Due to the nature of the work, applicants must be eligible to obtain UK security clearance . Candidates will generally need ...

systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego’s infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights … Flutter apps with a deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations The Opportunity ...

such as Cosmos DB. Knowledge of REST, SOAP, and messaging technologies. Experience building and supporting scalable data integration solutions. Desirable Exposure to AI/ML integrations. Experience with DevOps, CI/CD, and Infrastructure as Code. Background in a regulated industry is advantageous. Join a collaborative team working with modern ...

Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialisation in one area (e.g. real-time/streaming, ML/AI, data governance, migrations)Proven ability to lead architecture discussions with senior technical stakeholders: whiteboarding, design reviews, and trade-off analysisTrack record of driving platform adoption … Computer Science, Engineering, or a quantitative discipline (or equivalent experience)Willingness to travel up to 30% as neededNice to Have: Databricks certifications (Data Engineer, ML, Platform)Cloud provider certifications at professional level (e.g. AWS Certified Solutions Architect – Professional or AWS Certified Data Engineer; Azure Solutions Architect Expert; Google Professional Cloud ...

Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialisation in one area (e.g. real-time/streaming, ML/AI, data governance, migrations) Proven ability to lead architecture discussions with senior technical stakeholders: whiteboarding, design reviews, and trade-off analysis Track record of driving platform … Science, Engineering, or a quantitative discipline (or equivalent experience) Willingness to travel up to 30% as needed Nice to Have Databricks certifications (Data Engineer, ML, Platform) Cloud provider certifications at professional level (e.g. AWS Certified Solutions Architect – Professional or AWS Certified Data Engineer; Azure Solutions Architect Expert; Google Professional Cloud ...

similar AI/LLM frameworks , together with the ability to work below the framework level when necessary. Experience designing and deploying AI/ML systems into genuine production environments. Strong understanding of model inference, latency, performance, data pipelines, state, memory and tool/function calling. Hands-on experience building search … with highly regulated, mission-critical or data-intensive organisations. Experience with large-scale data platforms and distributed search. Contributions to open-source AI/ML projects. The Engineering Challenge This isn't a role focused on experimenting with AI in notebooks or stitching together a collection of third-party APIs. ...

skillsHands-on practical experience delivering system design, application development, testing, and operational stability at enterprise scaleHands-on experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures with tool use, memory, and multi-step reasoning in regulated environmentsExpert in one or more programming languages …/or JavaAdvanced knowledge of software application development and technical processes, with considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering)Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)Advanced working ...

Engineering, Artificial Intelligence, or a related field. Minimum of 3 years of professional experience in software development, with a significant focus on AI/ML applications. Proven proficiency in Python and experience with relevant AI/ML libraries and frameworks. Hands-on experience in developing applications utilizing Large Language Models ...

learn and work across the wider platform. Desirable Databricks/PySpark NoSQL/Cosmos DB Infrastructure as Code/DevOps automation AI/ML data integration Automotive or insurance industry experience #J-18808-Ljbffr ...

learn and work across the wider platform. Desirable Databricks/PySpark NoSQL/Cosmos DB Infrastructure as Code/DevOps automation AI/ML data integration Automotive or insurance industry experience #J-18808-Ljbffr ...

passionate about designing and deploying intelligent machine learning solutions that drive business impact? Do you enjoy leading teams, building scalable ML systems, and turning complex data into innovative products and services? About the team We are a software engineering team responsible for developing and supporting business-critical platforms … wider organisation. About the role This position serves as a subject matter expert for Machine Learning Engineering, supporting production AI/ML, LLM/RAG, and agentic workflow capabilities for legal content products. In addition to writing code on complex systems, this position provides technical direction on architecture ...