2,626 to 2,650 of 7,745 Machine Learning Jobs in the UK

Understanding of data architecture concepts, including data warehousing and data lakes. Exposure to cloud computing environments such as Microsoft Azure. Exposure to predictive analytics, machine learning, AI-enabled analytics or advanced statistical methods. Experience working with customer, commercial, subscription, product usage or behavioural datasets. Behaviors and Mindset: Demonstrates … reliable. Works collaboratively across Customer Insights, Product, Commercial, Technology and Data teams to build a more joined-up view of the customer. Shares learning openly, seeks input from others and helps translate business questions into clear analytical approaches. Acts with agility by adapting to changing priorities, working through ambiguity ...

expertise in designing and implementing solutions leveraging cloud services (particularly AWS), with a particular emphasis on cloud-native integration patterns and AI/ML services.Proven track record (projects or in a lead role) in an AWS Technical Architect or Lead Engineer capacity, specifically designing and delivering complex cloud-native solutions … incorporating AI/ML components.Strong and specialised experience and understanding of TMT products, processes, and technologies in areas such as:Media industry, covering areas like content platforms, ad tech, and rights management platformsDigital platforms and technologiesAppreciation of emerging technology and trends in TMT with an understanding and knowledge of different ...

Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion. All of our collectives are doing innovative work, many of which have machine learning and AI at the forefront—from fighting financial crime to building smarter financial tools—and you may have the opportunity to join … your skills, experience, preferences and aligning with the business need! Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering ...

Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion. All of our collectives are doing innovative work, many of which have machine learning and AI at the forefront—from fighting financial crime to building smarter financial tools—and you may have the opportunity to join … your skills, experience, preferences and aligning with the business need! Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering ...

Strong understanding of software engineering fundamentals, system design and performance optimisation.* Experience building products and platforms from concept through to production.* Exposure to AI, Machine Learning or LLM-powered applications is highly desirable.* A passion for modern engineering practices, continuous learning and solving complex technical problems.**What ...

function calling, tool use, long-term memory management, and guardrails. Proficient with integration technologies and protocols (APIs,ReST,HTTPS etc..) Expertise in AI/ML algorithms, enterprise-scale applications, and SaaS AI platforms (e.g., MS Copilot, Google Gemini Enterprise, Google Vertex AI, Claude), with experience integrating AI solutions with enterprise … track record to get things done in a matrixed organization and influencing without authority Nice to have - AI certifications (e.g., Azure AI Engineer, Google ML Engineer, TOGAF). #LI-EN1 #TBdigital #J-18808-Ljbffr ...

high-quality production code, and review and debug code written by others across a primarily Go-based codebase, with a team culture that supports learning and growth across languages Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems … system design, application development, testing, and operational stability Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and its technology systems Practical cloud-native experience Experience with Java, Spring ...

work has a direct impact on customer experience and the company’s bottom line by reducing fraud and scams in financial transactions. Our ML scientists work on problems spanning fraud detection and prevention, transaction monitoring for suspicious activity, customer risk assessment and operational tooling. What you’ll be working … Learning Scientist is a technical individual contributor (IC) leadership role. You will be expected to leverage deep experience in developing and deploying advanced ML models on a modern cloud-native data platform to: Automatically and accurately detect suspicious user behaviors while minimising impact to genuine customers and operational costs ...

develop data pipelines, ensuring data is clean, transformed, and integrated efficiently to the database. The environment is collaborative so you’ll work closely with machine learning engineers and data scientists to facilitate seamless data analysis. You’ll work within a dynamic team to support and enhance ...

work has a direct impact on customer experience and the company’s bottom line by reducing fraud and scams in financial transactions. Our ML scientists work on problems spanning fraud detection and prevention, transaction monitoring for suspicious activity, customer risk assessment and operational tooling. What you’ll be working … Learning Scientist is a technical individual contributor (IC) leadership role. You will be expected to leverage deep experience in developing and deploying advanced ML models on a modern cloud-native data platform to: Automatically and accurately detect suspicious user behaviors while minimising impact to genuine customers and operational costs ...

Estonia, is an international provider of drone operations and traffic management solutions for unmanned aircraft systems (UAS) operators and airspace managers. We offer intelligent Machine Learning and AI driven traffic management software capabilities for UAS Traffic Management (UTM) and Urban Air Mobility (UAM) operations. Responsibilities Design and maintain ...

just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do as we strive to connect one million people to meaningful work and build leaders worth following. Our Culture … Experience with cloud infrastructure (AWS/GCP/Azure) Experience building APIs and working with distributed systems Systems thinking: Experience designing data pipelines or ML infrastructure Ability to evaluate end-to-end workflow performance Familiarity with AI/ML lifecycle (training to inference to evaluation to feedback) Product judgement: Ability ...

fast-paced environment.· Work on Marketing Mix Modelling (MMM) and Customer Analytics projects end-to-end, from gathering and analysing data to building statistical machine learning models and delivering presentations.· Work on 1-3 projects across global markets and industries such as retail, consumer goods, luxury fashion, insurance … work within an inclusive and diverse team to deliver innovative solutions. · A passion for joining a small team and a keen interest in personal learning and development.· Demonstration of behaviours that support our values: Curiosity, Creativity, Excellence, Transmission, and Pleasure. Additional Requirements:· Must be able to work on-site ...

Fractional CTO, you'll be instrumental in developing our product as we scale, with a focus on building and shipping AI/ML-driven features. About You This Is A Great Fit If You Want To Work... In an early stage company where you'll have the opportunity to build … visas at this time) It Would Be Nice (But Not Necessary) If You Also Had Experience With 3-5+ years in AI/ML engineering with a track record of deploying AI into production at scale. What Role Involves Key Responsibilities: Develop and deploy high-quality features ...

with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution At the intersection of technology … training systems to ensure seamless scalability and hardware efficiency on target platforms. A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Hands ...

agents, recommendation systems, decisioning systems, personalization, or next-best-action experiences.Experience building the backend orchestration, services, APIs, and feedback loops that connect AI or ML models to real customer actions and outcomes.Experience working with complex, high-volume data and ensuring AI outputs are relevant, explainable, trustworthy, and useful to customers.Experience … defining evaluation, monitoring, and learning mechanisms to assess the quality and impact of AI-generated recommendations or insights.Ability to partner effectively with ML and data science teams to integrate and productionize models, without necessarily owning model training or core ML infrastructure.Strong product judgment and customer empathy, with the ability ...

containerisation and Kubernetes.Strong understanding of software engineering fundamentals, system design and performance optimisation.Experience building products and platforms from concept through to production.Exposure to AI, Machine Learning or LLM-powered applications is highly desirable.A passion for modern engineering practices, continuous learning and solving complex technical problems.What We Believe ...

software products or applications. Knowledge of modern software engineering practices, including testing, version control and continuous integration. Experience or strong interest in AI technologies, machine learning, LLMs, RAG solutions or intelligent automation. Strong problem-solving skills with the ability to work through complex technical challenges. Excellent communication … options, including compressed fortnight arrangements where applicable Private healthcare Cash health plan Annual performance bonus opportunities Holiday buy and sell scheme Career development and learning programmes Professional accreditation support Pension scheme Employee assistance programme Inclusive employee networks and communities Why Join Us? A Mission to Believe In Every ...

guide teams through adopting new practices and ways of working.## ## **What Makes You Unique:*** **AI Subject Matter Expertise:** Direct experience implementing generative AI, machine learning, or automated workflow tools within a CPG marketing function or digital agency.* **CPG & Premium Brand Stewardship:** Marketing experience within a large multinational … consumer packaged goods (CPG), spirits, or premium lifestyle brand environment.* **Curiosity & Innovation:** Champions a culture of curiosity, rapid experimentation, continuous learning, and responsible experimentation #LI #J-18808-Ljbffr ...

equivalent qualification in a relevant engineering or software discipline. Eligible to obtain UK Security Clearance (SC). DESIRABLE SKILLS Experience with AI, Machine Learning or autonomous systems. Knowledge of containerisation and cloud deployment technologies. Experience with large-scale data integration programmes. Understanding of software architecture governance and design ...

contribute to the development of software to streamline daily processes and assist front office with system trading, using a variety of techniques including machine learning and artificial intelligence. Alongside the automation elements, you will also be responsible for the daily analysis of the trading activities (PnL and position ...

/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In‐depth knowledge of the financial services industry and their IT systems Practical cloud native experience #J-18808-Ljbffr ...

Perforce) and collaborative development workflows. Solid foundation in Agile development methodologies, DevOps practices, and modern software engineering principles. Preferred Qualifications Leverage generative AI and machine learning for test case generation, anomaly detection, and accelerated root cause analysis. Practical experience with test frameworks like ScalaTest or Playwright. Familiarity with ...

doneExperience managing engineers in a fast-paced, high-growth environmentExcellent communication skills in English.Nice to Have'sFluency in additional European languagesExperience with AI/ML infrastructureBackground in enterprise security and compliance.What We OfferRemote-flexible work from anywhere in EMEA6 weeks of paid vacationEquity/stock optionsCompetitive salaryCo-working stipendAnnual learning … months, for either parent.Annual enrichment benefits:Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.Education & learning stipend for conferences, courses, and coaching.6 weeks of paid vacation (30 working days!)Budget for traveling to other offices if you are remote, plus an annual company offsite.How and Where ...

have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers.We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges!It would be great if you also had experience in some of these, but if not we’ll help you with themMachine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlowDeploying and managing in Cloud Computing such as AWS, MS AzureContainerisation e.g. Docker ...