2,201 to 2,225 of 6,363 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 ...

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 role We're looking for an experienced, strategic, and data-driven Product Manager ...

automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes. Our team ...

globally, powering Hopper's mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. ...

test datasets behind them, with good judgment on realism and validity limits. Practical familiarity with evaluating AI systems and their failure modes, across classic ML models, LLM-based systems, and AI agents. Fluency in Python for statistical analysis, data preparation, and reproducible evaluation workflows. A rigorous approach that values evidence … rapidly growing business Private health insurance 33 days holiday (incl. bank holidays) Hybrid working model (3 days/week in our London office) Learning and Development budget of £500 per year Interview process Our interview process involves the following stages: Initial screen (30min) - Intro call to align on your ...

need from you: Relevant product management experience, including demonstrated delivery of large-scale, technology-led products Proven experience building, launching, or scaling AI/ML-powered products or digital platforms, ideally in financial services or FinTech Strong commercial acumen - ability to build business cases, contribute to P&L analysis … suit your personal circumstances Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole ...

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 About the role Personal loans are the fastest-growing consumer credit product ...

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 About the role Personal loans are the fastest-growing consumer credit product ...

analytical and problem-solving skills Candidates should have at least three of the following skills: Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions Experience with large scale data sets with structured or unstructured data Experience in building user facing ...

most ambitious work of your career, join us. Attributes We ValueWe hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast … opportunity to grow into a broader leadership role. Stay ahead of industry trends in payments, APIs, and financial technology, and leverage AI/ML where relevant to drive product innovation. Who you areWe're looking for people who meet the minimum requirements for this role. The preferred qualifications are great ...

days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. Financial coaching + 5% pension match. 40 hours of paid learning and development. CreateFuture is a Great Place to Work-Certified company and has won Best Workplaces UK multiple years in a row. Join … Administrator (CKA). 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. FinOps Certified Practitioner (FOCP). What We’ll Offer You We trust people to do their best work. ...

need from you: Relevant product management experience, including demonstrated delivery of large-scale, technology-led productsProven experience building, launching, or scaling AI/ML-powered products or digital platforms, ideally in financial services or FinTechStrong commercial acumen — ability to build business cases, contribute to P&L analysis, and drive … suit your personal circumstancesEmployee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self ...

relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutionsBuild the best technology in-house: we use new data sources, machine learning and AI to make machines do the heavy liftingWe're hiring two Senior Quality Engineers to set up a Quality Engineering department ...

business — technical leadership from day one, without a management line. As the team grows around you — a data scientist, a behavioural researcher, an ML engineer — the routes are principal-level ownership of product behavioural data across Diligent, or leading the team that runs it. We'd rather be straight with … questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity. The future belongs to those who keep learning, and we are building it together. At Diligent, you're not just building the future - you're an agent of positive change, joining a global ...

LOCATION: Onsite (Bristol) Job Description Looking for an experienced Senior Architect to lead the design, architecture, governance, and delivery of enterprise-scale AI/ML and Generative AI solutions. The role requires deep expertise in LLMs, Agentic AI, NLP, RAG architectures, MLOps, and cloud-native AI platforms on Google Cloud … candidate should possess a blend of technical leadership, solution architecture, stakeholder management, and hands‐on expertise in modern AI ecosystems Mandatory Skills AI/ML Experiment design and A/B testing NLP and text analytics Generative AI Prompt Engineering AI Agents and Multi-Agent Systems Copilot and Conversational ...

systems yourself, and is excited to grow into a broader leadership role. Not everything here is about LLMs. You'll work on rigorous ML, forecasting, optimisation and operations research problems where quantitative thinking, pragmatic delivery and strong product judgement really matter. You'll lead a growing team of Machine … working alongside data scientists, backend, mobile and web engineers, product managers, user researchers, designers and operations specialists.ðYou'll play a key role by...Shaping the ML strategy for Workforce Management, helping us decide where ML, forecasting and optimisation can have the biggest impact for customers and human agents. Leading the design ...

systems yourself, and is excited to grow into a broader leadership role. Not everything here is about LLMs. You'll work on rigorous ML, forecasting, optimisation and operations research problems where quantitative thinking, pragmatic delivery and strong product judgement really matter. You'll lead a growing team of Machine … working alongside data scientists, backend, mobile and web engineers, product managers, user researchers, designers and operations specialists.ðYou'll play a key role by...Shaping the ML strategy for Workforce Management, helping us decide where ML, forecasting and optimisation can have the biggest impact for customers and human agents. Leading the design ...

Analytics & AI) Role Overview We are seeking a Data Architect to support the design and delivery of cloud-based data, analytics, and AI/ML data platforms. The role focuses on defining scalable data architectures and guiding engineering teams across GCP, Snowflake, and dbt-based ecosystems in a regulated enterprise … products on GCP (BigQuery/BigLake) and Snowflake . Provide architectural direction for analytics engineering , including dbt-based transformation layers . Enable AI/ML use cases by designing feature datasets, training data pipelines, and model consumption patterns. Ensure solutions meet data governance, security, and access control standards. ...

Analytics & AI) Role Overview We are seeking a Data Architect to support the design and delivery of cloud-based data, analytics, and AI/ML data platforms. The role focuses on defining scalable data architectures and guiding engineering teams across GCP, Snowflake, and dbt-based ecosystems in a regulated enterprise … products on GCP (BigQuery/BigLake) and Snowflake . Provide architectural direction for analytics engineering , including dbt-based transformation layers . Enable AI/ML use cases by designing feature datasets, training data pipelines, and model consumption patterns. Ensure solutions meet data governance, security, and access control standards. ...

using statistical rigor to compare alternatives and drive decisions. Collaborate with engineers, product managers, and analysts to translate ambiguous business problems into well‐scoped ML solutions, including data requirements, modeling approach, and success metrics. Apply strong data modeling, feature engineering, and model selection skills across multiple domains, ensuring models … robust, explainable, and performant at scale. Safely integrate and operate AI/ML‐enabled solutions that improve outcomes, including monitoring model performance, detecting degradation, and driving continuous improvements in production. Demonstrate familiarity with AI‐driven systems, tools, or workflows and applying AI/ML concepts to real‐world products, contributing ...

mission and what we offer . About the role: We are looking for an IC3 Machine Learning Engineer to join our Risk ML and Intelligence team. In this role, you will be key to enabling the building of our machine learning models by focusing … learn the wrong behavior. You will be responsible for label side quality, label monitoring, statistical integrity, and designing robust audit processes to ensure our ML infrastructure learns from clean, reliable data. How we work: At Wise, we operate with autonomous, cross-functional teams that put the customer first. We believe ...

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 ...

.Manage product backlogs, release plans, budget allocations, and value-driven investment decisions .Delivery & Cross-Functional Execution Partner closely with Data Engineering, Analytics, AI/ML, and Governance teams to execute and deliver against the product roadmap .Translate business needs into clear user stories, technical specifications, and strict acceptance criteria .Drive … Realization Define and track product performance, user engagement, and hard business impact .Identify high-value opportunities for operational automation, self-service analytics, AI/ML enablement, and potential data monetization .Continuously gather user feedback to optimize feature releases and maximize business ROI .Data Quality, Reliability & Governance Establish, monitor, and enforce ...

right problems to solve, not just execute against a fixed brief. The roleThe Applied Scientist role is new to Prolific. It combines data science, ML, and statistics to build practical systems that drive real business outcomes. This isn't a pure research role, although you may explore papers and explore … ideas. The focus is on turning promising approaches into production-ready solutions. It is also not an ML engineering role: you don't need engineering experience, but you should understand what deploying a model involves and the practical constraints around it. We care about approaches that actually work in production ...