776 to 800 of 6,468 Machine Learning Jobs in the UK

solution architecture, technology consulting, software engineering, data engineering, systems integration, presales, or delivery roles.3+ years of experience designing or delivering AI, data, analytics, ML, GenAI, agentic AI, or automation solutions.1+ year of hands-on or solutioning experience with GenAI, LLMs, RAG, AI agents, or enterprise AI platforms. Experience producing solution … Databricks, Snowflake, vector databases, orchestration frameworks, and MLOps/LLMOps tooling. Experience supporting large pursuits, proposal development, pricing reviews, or delivery mobilization. AI/ML, cloud, data platform, architecture, or security certifications. Strong analytical thinking, commercial judgment, written communication, cross-functional collaboration, and client-facing presentation skills. Ability to travel ...

validation practices. Proactive delivery mindset, managing priorities, dependencies and stakeholder expectations effectively. Understanding of analytics beyond reporting, including predictive analytics, statistical modelling or machine-learning concepts. Insurance or financial services experience (CII or working towards, desirable).If you are excited about this role but your experience does … request a reasonable adjustment at any point in our recruitment process. You can request an adjustment by speaking to your Talent Acquisition contact. Learning and innovating today, striving for sustainable societies and business tomorrow At Munich Re Specialty – Global Markets our approach to ESG is underpinned by our desire ...

been recognized across the industry, including: 21 Google Cloud Partner of the Year awards in the past 10 years 3 AWS AI/ML Partner of the Year awards 3 NVIDIA Partner of the Year awards 3 Snowflake Partner of the Year awards Rated Leaders by Gartner, Forrester … disruptive innovators in a research-driven environment with 60+ patents. Stay ahead of the curve by gaining hands‐on experience with cutting‐edge AI, ML, data, and cloud technologies while continuously upskilling. If you like wild growth and working with happy, enthusiastic over‐achievers, you'll enjoy your career with ...

related field. Experience in technology delivering software or data solutions, including hands-on work on at least two GenAI or AI/ML projects (with ~1 year of GenAI experience). Hands-on experience with LLMs (OpenAI, Anthropic, Google, or open-weight models like Llama/Mistral) and orchestration frameworks … sensitive data. Good communication skills, able to explain technical work clearly. The following will be an advantage; Exposure to GenAI or AI/ML solutions in insurance or financial services. Familiarity with insurance document workflows (ACORD forms, loss runs, policy documents). Experience contributing to solutions moving from proof ...

concurrent, distributed applications at scale Experience working with DevOps or SRE teams to support production environments Strong communication and collaboration skills A passion for learning, continuous improvement and delivering high-quality software And it would be great if you had any of the following Experience with PHP Experience with … based systems Knowledge of AWS, Docker and CI/CD practices Experience with PostgreSQL, MongoDB or BigQuery Exposure to data platforms, ETL processes or machine learning-enabled products Experience mentoring, coaching or supporting the development of other engineers Previous experience within fintech, payments or a fast-paced startup ...

Have working knowledge of Python or another programming language for analysis Be familiar with Git, version control and modern analytics workflows Understand AI and machine learning concepts and their practical application Mentor others and raise the quality of analytical work across a team Have at least 4 years ...

actuarial model deployment Familiarity with MLOps concepts (CI/CD pipelines, model registries, automated testing) awareness required, not hands-on ownership Experience with ML lifecycle tooling MLflow, Azure ML, or equivalent Python proficiency able to read and review analytical code, contribute where needed Consulting or forward-deployed engineering background (Palantir … leave plus ability to purchase 5 additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program. Integrity. client focus. respect. excellence. teamwork Our core values dictate how we live and work. We re an ethical ...

privacy, and information security Desirable: Financial services experience Awareness of data models in a Medalion ArchitectureExperience building Semantic, Metric or Analytic modelsExperience of building Machine Learning models Any experience in MLOps or operationalising Machine LearningKnowledge of Data Quality Frameworks in PythonQualifications: Industry focused degree or equivalent working ...

experience: 10+ years' experience in data, analytics, AI, or enterprise architecture Strong consulting background delivering technology and AI transformation programmes Deep understanding of AI, machine learning, GenAI, and cloud data platforms Experience with AWS, Azure, or GCP Strong knowledge of data architecture, DevOps, and automation tooling Experience engaging ...

Nice to have: experience with telemetry, sensor, location, and operational technology data platforms; large-scale video, image, and unstructured media datasets; feature engineering and machine learning data preparation; private cloud and on-premises environments; maritime, fleet, vessel operations, logistics, or industrial operational domains Условия Salary varies by regional ...

join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future … project management, and development skills Relationship and consensus building skills Preferred Kafka/Event-Driven Architecture Apache Iceberg/Delta Lake Python AI/ML & LLM integration Financial Services/Capital Markets Education: Bachelor's degree/University degree or equivalent experience Master's degree preferred What we will provide ...

than build them from scratch. You will work within our product organization (eight squads across AI, data, and domain verticals) and partner closely with ML engineers, data scientists, domain experts, and designers. This is a high-autonomy role with real scope to shape what the company's AI products … collaborative environment for your squad, providing wider context and clear goals so everyone can do their best work Work with data scientists and ML engineers to bridge the gap between business needs and the technical capabilities of AI models Communicate strategy, initiatives, and progress transparently across the organisation Translate complex ...

than build them from scratch. You will work within our product organization (eight squads across AI, data, and domain verticals) and partner closely with ML engineers, data scientists, domain experts, and designers. This is a high-autonomy role with real scope to shape what 9fin's AI products … CommunicationCreate a collaborative environment for your squad, providing wider context and clear goals so everyone can do their best workWork with data scientists and ML engineers to bridge the gap between business needs and the technical capabilities of AI modelsCommunicate strategy, initiatives, and progress transparently across the organisationTranslate complex ...

execute a comprehensive account strategy that drives revenue growth, deepens customer adoption across the full AWS portfolio — including compute, networking, storage, AI/ML, Generative AI, and edge solutions — and positions AWS as the preferred cloud partner for next-generation telco workloads. This role requires deep understanding of the telecommunications … technology decisions align with long-term business goals. Solution-Led Selling: Drive solutions discussions diving deep into complex challenges — including modernization, migration, AI/ML, and infrastructure optimization for telco workloads. Recommend AWS products and services aligned with how the Telco delivers solutions to their end customers (Telco operators globally ...

experience: 10+ years' experience in data, analytics, AI, or enterprise architecture Strong consulting background delivering technology and AI transformation programmes Deep understanding of AI, machine learning, GenAI, and cloud data platforms Experience with AWS, Azure, or GCP Strong knowledge of data architecture, DevOps, and automation tooling Experience engaging ...

deliver real value for customers. From data exploration and algorithm development to scalable system design, you’ll play a key role across the full ML lifecycle and see your work in action at global scale. If you want to apply cutting‐edge machine learning to a trillion‐dollar … excited by solving meaningful, complex problems, we’d love to hear from you. What You’ll Do With guidance from the Head of ML, advance Solvo’s decision‐making and pricing models through innovative ML engineering and research. Design, implement, and deploy production‐grade ML systems with scalability and robustness ...

systems.- Provides operational support and leadership for production systems in a "you-build-it-you-run-it" culture, including incident response, post-incident learning, and continuous reliability improvements.- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials … including setting standards and driving adoption across teams.- Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc.- Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services ...

production-grade agentic commerce systems for global enterprise clients. You are responsible for defining the overall system architecture, selecting and governing AI/ML and platform technologies, and ensuring solutions are scalable, secure, and embedded into live enterprise commerce environments. You will partner closely with development, DevOps, data engineering … commerce pursuits Engage C-suite stakeholders and grow engineering talent within the practice What You Need Must Have 8+ years in AI/ML systems, with demonstrable experience designing and delivering Generative AI and agentic AI systems in production 4+ years enterprise commerce delivery on one or more of: Salesforce ...

teams can reuse. Help reduce one‐off security consultations by embedding approved security decisions into tooling, templates, and standard delivery workflows. Requirements Experience in machine learning engineering. Strong experience in cloud security engineering, application security, security architecture, DevSecOps, or security automation. Hands‐on experience with at least … Dental Insurance. Maternity, paternity, and shared parental leave. Employee Assistance Programme. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources. Access to employee discounts scheme via Perks at Work. About the business LexisNexis Intellectual Property Solutions (LNIP) is the global leader ...

. Advanced knowledge of software applications and technical processes with considerable in‐depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Ability to tackle design and functionality problems independently with little to no oversight. Experience in Computer Science, Computer Engineering ...

with agentic AI for operations—incident triage, runbooks, and change management—with clear guardrails, auditability, and human-in-the-loop controls. Supporting AI/ML workloads at scale: SageMaker endpoints, GPU node groups, autoscaling, and Kubernetes-based model serving. Policy-as-code (OPA) and compliance implementation across CIS, NIST … Fitch: Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing ...

with agentic AI for operations—incident triage, runbooks, and change management—with clear guardrails, auditability, and human-in-the-loop controls. Supporting AI/ML workloads at scale: SageMaker endpoints, GPU node groups, autoscaling, and Kubernetes-based model serving. Policy-as-code (OPA) and compliance implementation across CIS, NIST … Fitch: Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing ...

technical platform capabilities across the product lifecycle. Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Machine Learning: Expertise in time-series forecasting, clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval-Augmented Generation (RAG), and LangChain. Cloud … Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive ...

curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career GrowthWe … level customer engagement- Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc.- Experience in data science, machine learning or data mining- Knowledge of distributed applications/enterprise applications- Experience in specific technology domain areas like software development, cloud computing, systems ...

coding tools while maintaining ownership and understanding of the generated code. Требования Bachelor’s or master’s degree in Computer Science, Engineering, AI/ML, or a related technical field, or equivalent relevant experience; Approximately 0–3 years of professional software engineering experience, including recent graduates; Strong software engineering foundation … vector databases, LangChain, LangGraph, or AutoGen. Условия Competitive compensation and benefits; Business connectivity reimbursement for phone and internet; Gym membership or equipment reimbursement; LinkedIn Learning subscription; Tuition reimbursement after one year of service; Accelerated career path; Award-winning culture and community outreach; Active mentorship and structured growth opportunities. #J ...