1,001 to 1,025 of 3,266 Machine Learning Jobs in the UK

just a few years. Benefits 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let’s create tomorrow, together, today. About the Role and Team At CreateFuture, our Lead Engineer - Cloud … level & Certifications Multiple professional‐level certifications (AWS Certified Solutions Architect – Professional or Azure Architect AZ‐305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What We’ll Offer You We trust people to do their best work. That means flexibility over rigid ...

just a few years. Benefits 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let’s create tomorrow, together, today. About the Role and Team At CreateFuture, our Lead Engineer - Cloud … level & Certifications Multiple professional‐level certifications (AWS Certified Solutions Architect – Professional or Azure Architect AZ‐305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What We’ll Offer You We trust people to do their best work. That means flexibility over rigid ...

just a few years. 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let’s create tomorrow, together, today. About the role and team: At CreateFuture, our Lead Engineer - Cloud plays … Knowledge-level & Certifications Multiple professional-level certifications (AWS Certified Solutions Architect - Professional or Azure Architect AZ-305.) Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What we’ll offer you: We trust people to do their best work. That means flexibility over rigid ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting We're hiring two Senior Quality Engineers to set up a Quality Engineering department ...

Near Real‐Time and Batch Inferencing: Use infrastructure like Spark and Ray to stand up inferencing services that integrate with operational/analytics workloads. ML Infrastructure: Help build a first‐class machine learning platform from the ground up which helps manage the entire model lifecycle: feature engineering, model … experience in applied machine learning on real recommendations use cases (brownie points for productionised sequential learning use cases). Experience with ML/distributed ML frameworks like Ray, Spark‐MLlib, TensorFlow etc. Experience with real‐time scoring/evaluation of models with low latency constraints. Great coding ...

experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built … impressive momentum with a small group of highly capable engineers and researchers. The Opportunity As a Founding Systems Engineer, you will lead our ML Infrastructure team, driving DevOps, MLOps, and Agent Ops across both R&D and production environments. You will own the automation of release and evaluation processes ...

relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product‐focused team. We work in partnership … with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from ...

complex physical system. Data Centers are the proof point, not the ceiling. We have sites in London, Canada and the USA, building teams across ML research, Product development, Mechanical engineering, and Chemical engineering. If you want to work where AI meets atoms, we'd like to hear from you. … technology challenges. Key Responsibilities Set the technical bar and ensure engineering excellence Establish and maintain exceptionally high standards for code quality, system architecture and ML research and engineering practices through hands‐on coding and technical review Design robust, well‐engineered systems that others can build upon, balancing research velocity with ...

impact by: Defining and owning the architecture for a secure, scalable multi-cloud AI Platform across Azure and AWS. Designing key platform capabilities, including ML pipelines, model hosting, observability, GenAI patterns and AI safety controls. Evaluating AI tooling and making evidence-based technology decisions that balance engineering needs, security, governance … science and business teams to ensure the platform meets diverse and evolving user needs. Your skills and experience: Experience designing enterprise-grade AI or ML platforms across Azure and AWS. Strong knowledge of ML/AI platform components, including pipelines, orchestration, feature stores, model hosting and observability. Expertise in GenAI ...

Chief Data and Analytics Office (CDAO) builds enterprise‐scale platforms for Data Management, Analytics, and AI/ML Operations used firm‐wide across JPMorgan Chase. Within CDAO, the Data for AI Product Management team creates reusable platform solutions that transform how data producers and consumers discover, access, govern, and leverage … Catalog Vision & Strategy Define the multi‐year product vision and roadmap for firm‐wide data discovery serving data scientists, ML engineers, analytics engineers, and increasingly business users. Establish north‐star metrics tied to real impact: time‐to‐data, publishing velocity, discovery‐to‐integration conversion, repeat usage, and governance compliance. ...

provided as part of the salary package. The Staff Machine Learning Platform Engineer owns the infrastructure and systems that allow Neara's ML discipline to move fast, ship reliably, and scale without breaking. Neara is conducting cutting edge research, developing multi-modal spatial frontier models. You will help … intelligence quickly and economically, but also in making sure we can deploy those models efficiently to our customers. WHAT YOU’LL DO Own the ML platform strategy end-to-end - Define and drive the multi-year technical roadmap for training pipelines, serving architecture, experiment management, and monitoring systems that ...

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. ...

Risk Assessment & AI Security Identify and assess application risks across Cognism’s SaaS platform, data processing pipelines, including emerging risks associated with AI/ML capabilities. Contribute to AI feature reviews and participate in AI risk assessments to ensure responsible and secure use of models, in a way that balances … challenge the status quo in AI implementation. Assess and pragmatically recommend mitigations for security risks in data pipelines, model-training workflows, feature stores, and ML systems, ensuring strong controls for data access, data lineage, model integrity, and protection of sensitive datasets. Secure SDLC & DevSecOps Enablement Partner with our engineering ...

experimentation, rapid productization, and clear business accountability.Applied AI Delivery* Oversee the design and delivery of production AI systems - agentic workflows, LLM-powered co-pilots, ML inference pipelines, embedded into live front-office operations.* Ensure solutions integrate seamlessly with core systems and existing architectures.* Drive the transition from proof-of-concept … scalable, enterprise-grade deployment with measurable adoption and impact.Data & Platform Strategy* Own the Applied AI platform strategy, including real-time data pipelines, ML feature stores, model registries, and agentic runtime and control plane infrastructure.* Partner with relevant teams and stakeholders to ensure a coherent, governed AI foundation.Governance, Risk & Compliance* Accountable ...

based AI frameworks including RAG and orchestration patterns Strong experience working with vector databases and AI-specific data stores Solid understanding of AI and ML models, LLMs and generative AI architectures Experience implementing governance frameworks for model selection, deployment and lifecycle management Hands-on experience with AI-assisted development tools … Strong knowledge of cloud AI and ML platforms and associated architecture patterns Experience designing and managing APIs including REST and GraphQL Strong understanding of microservices and serverless architectures Practical experience with DevOps and MLOps practices including CI/CD pipelines Knowledge of security frameworks, identity management and authentication standards Desirable ...

merchandising works across Expedia Group. Minimum Qualifications: 10+ years of product management experience building consumer or platform products, including meaningful work with AI, ML, or technically complex systems. Strong technical depth and experience partnering with engineering and DS/ML teams; comfortable discussing agent architectures, system design, data flows, tradeoffs … them when agents act on live customer experiences, including regulatory constraints on pricing display and urgency messaging. Background in software engineering, data science, or ML (professional experience or equivalent technical projects), even if you have primarily worked as a PM. Experience building frameworks, tools, or platforms adopted by multiple teams ...

merchandising works across Expedia Group. Minimum Qualifications: 10+ years of product management experience building consumer or platform products, including meaningful work with AI, ML, or technically complex systems. Strong technical depth and experience partnering with engineering and DS/ML teams; comfortable discussing agent architectures, system design, data flows, tradeoffs … them when agents act on live customer experiences, including regulatory constraints on pricing display and urgency messaging. Background in software engineering, data science, or ML (professional experience or equivalent technical projects), even if you have primarily worked as a PM. Experience building frameworks, tools, or platforms adopted by multiple teams ...

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

technology teams to select and shape appropriate technologies for scalable analytics, trading strategy development, tick or time-series data, workflow automation and AI/ML-enabled use cases.• Prefer Databricks, Spark and modern lakehouse patterns for scalable analytics where suitable, while recognising transferable experience with Snowflake and other enterprise data … suitable for enterprise use.**Analytics, AI and Agentic Strategy Prioritisation**• Prioritise data access, tooling and platform capabilities required to support advanced analytics, AI/ML, NLP, intelligent automation and agentic strategies for the group.• Identify opportunities to deploy production-grade analytics and AI-enabled solutions that improve decision-making, risk ...

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

augmented generation — production RAG systems over large proprietary corpora (embedding models, vector indices, re‐ranking) that serve real‐time answers to client queries. Classical ML at scale — gradient‐boosted models, causal inference pipelines, and recommendation engines that run alongside LLM components in hybrid architectures. You will be the technical lead … decisions, and defend your approach with evidence. Mentor and set the quality standards for junior scientists. What We’re Looking For 5+ years shipping ML models to production — you've dealt with data drift, silent failures, retraining cadences, and the gap between offline metrics and business outcomes. Deep, demonstrable expertise ...

relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership … with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from ...

capabilities serving all private markets asset classes - including core data services, cross-fund analytics, workflow automation, and API infrastructure. Lead initiatives in AI/ML-enabled product features, including document extraction (e.g., fund documents, LP agreements, investment memos), NLP-powered search, and intelligent alert systems. Own the investor data model … cross-functional environment. Bachelor's degree required; MBA, CFA, or technical graduate degree preferred. PREFERRED QUALIFICATIONS Experience building or scaling AI/ML-powered product features - particularly in document processing, NLP, or predictive analytics. Familiarity with private markets technology stack and leading vendor solutions (Allvue, Efront, Dynamo, iLEVEL, Juniper Square ...

make in this role? In this role, you will leverage diverse datasets and apply quantitative and data-driven analytical techniques, including AI/ML, to provide actionable insights and recommendations at the single name and/or sector/country level. These insights will enhance our investment process which spans … portfolio optimization solutions. What will you do as a Quantitative Strategist? Partner with portfolio managers and analysts to leverage data, quantitative techniques, AI/ML, visualization tools for research and analysis, validating investment hypotheses and providing actionable insights to help screen for investment opportunities and conduct due diligence ...