2,226 to 2,250 of 2,743 Machine Learning Jobs in London

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 ...

challenges by combining deep engineering knowledge with thoughtful, research-backed innovation. Our teams work in digital engineering, data and analytics, cloud, and AI/ML, building practical, scalable solutions grounded in real business needs and human impact. We support clients across high tech, financial services, healthcare, life sciences, retail, energy … Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning. Advanced Tech Communities Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks. SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless ...

language of business leaders and connect operational bottlenecks to strategic AI solutions. Software/Data Engineering: Python proficiency, API design, SQL, data integration, and ML/AI libraries (PyTorch, TensorFlow, scikit-learn, XGBoost, Hugging Face Transformers). Agentic AI Systems: Hands-on experience with agentic AI setups including LLM orchestration … tool use/function calling, RAG, agents, prompt engineering, or agentic patterns for enterprise workflows. Production ML/LLMOps: Experience with model deployment, monitoring, MLOps/LLMOps, and lifecycle management across cloud services (AWS Bedrock, Azure AI, GCP Vertex AI). AI Architecture & Security: Understanding of cloud reference architectures, identity ...

acquisition methods, each with different freshness, completeness and reliability, and it changes constantly. It serves both live customer products and our AI and ML workloads. That data platform is the company. The hard part is making that trustworthy: resolving inconsistent records into reliable property, address, listing and agent entities, keeping … work independently and safely. Share what you know through documentation, code review and hands-on work with our data, software and AI/ML engineers. Work closely with data scientists, product teams and senior leaders to translate business priorities into high-performance data pipelines and platform capabilities that deliver measurable ...

business outcomes. Key responsibilities: ·Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs·Designing and implementing end to end AI and ML architectures across enterprise environments·Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments·Supporting AI implementation programmes from proof … scale transformation programmes·Producing solution design documentation, implementation plans and technical proposals·Providing technical leadership and mentoring within multidisciplinary teamsExperience Required:·Experience designing AI, ML or modern data architectures within enterprise environments·Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies·Experience architecting scalable ...

Data & AI frameworks and methodologies to grow our practice and ensure scalable, repeatable delivery. Mentor and support junior consultants, fostering a culture of continuous learning and development. What experience you'll bring: Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, or a related field. … experience in data consulting, data strategy, or a related role. Deep understanding of trends in data governance, data platforms, cloud technologies, AI/ML, and analyticsExperience of leading and delivering Data & AI projects. Strong problem-solving skills and the ability to think strategically. Ability to work independently and as part ...

advisor, you will guide customers in modernising their data ecosystems and operationalising AI through governed, repeatable, and measurable service Where purpose meets career: Continuous learning and exposure to innovative solutions: Work with a diverse portfolio of customers across multiple industries, tackling challenging data and AI initiatives, and applying your … years in data architecture, analytics, or AI solution design , ideally within presales or consulting, with deep expertise in data platforms, governance, and AI/ML system design. Hands-on experience designing and deploying AI-as-a-Service and AI platform solutions in hybrid or managed service environments, including familiarity with ...

Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integrationTransformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry … oneDeep experience with distributed computing with Apache Spark and knowledge of Spark runtime internalsFamiliarity with CI/CD for production deploymentsWorking knowledge of MLOps, ML/AI models and AI APIsDesign and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/ ...

position will suit an architect who can move comfortably between traditional enterprise data approaches and modern patterns such as lakehouse, streaming, data mesh and ML-enabled platforms – and who values clarity, governance and technical rigour. Candidates must be eligible for SC clearance (existing SC clearance desirable). What experience … NoSQL technologies. Understanding of ETL/ELT design trade-offs. Awareness of DevOps practices and CI/CD for data platforms. Understanding of how ML/AI workloads integrate into data architectures. Hands-on coding ability (e.g. Python, Java, R) is beneficial but not required. Governance, Security and Data ManagementExperience ...

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 ...

banking and product organizationsExperience in financial services with exposure to capital markets, corporate banking, or payments. Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM)Bachelor's degree in computer science, Statistics, Engineering or related fieldsPreferred Qualifications, Capabilities, and SkillsExperience … financial services with exposure to capital markets, corporate banking, or payments. Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM)Bachelor's degree in computer science, Statistics, Engineering or related fieldsJ.P. Morgan is a global leader in financial services, providing strategic ...

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 ...

data handling. Coaches and mentors team members on AI engineering practices, prompt design patterns, and agentic system architecture — fostering a culture of continuous learning and technical excellence. Avidly communicates progress and project status across the organisation and ensures that stakeholders are managed appropriately throughout the execution period. Fosters … production engineering role with high business impact and a strong programming foundation (Java, Python, Go, or equivalent). Hands-on experience with AI/ML engineering — including working with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents), embedding models, and vector databases. Proven expertise in prompt engineering : designing, iterating ...

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 ...

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 ...

risks, priorities and investment recommendations. Required qualifications Significant experience in product innovation, data science or technology strategy roles, including substantial experience applying AI/ML solutions within the financial services sector. Strong understanding of banking, financial technology or enterprise software, ideally across core banking, lending, payments, digital banking or analytics. … Culture@Finastra, Proud@Finastra, Disabilities@Finastra, and Women@Finastra—open to everyone who wants to participate and contribute. Career Development: Access online learning and accredited courses through our Skills & Career Navigator tool. Recognition: Take part in our global recognition program, Finastra Celebrates, and share your voice through regular employee ...

within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our culture of learning and growth – you'll have budget to take courses (technical and non-technical training), plus gain certifications Our tech stack ð While we advocate … seeking an experienced Data Science consultant to join our team. The ideal candidate will have a strong background in data science, mathematical modelling and ML, with a focus on using advanced analytics techniques to support data centric decision making in both public and private sector organisations. Work to agile best ...

trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower … Survival, Wall Street Rides FAR and more)Volunteer opportunities and charitable givingSocial events, happy hours, treats, and celebrations throughout the yearWorkshops and continuous learning opportunitiesAt Tower, you'll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. ...

product organizations Experience in financial services with exposure to capital markets, corporate banking, or payments. Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM) Bachelor's degree in computer science, Statistics, Engineering or related fields Preferred Qualifications, Capabilities, and Skills Experience … financial services with exposure to capital markets, corporate banking, or payments. Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM) Bachelor's degree in computer science, Statistics, Engineering or related fields ABOUT US J.P. Morgan is a global leader in financial ...

legacy ways of working where appropriate. Capability & Leadership Support Mentoring: Support and mentor engineers within CreateFuture and our client teams, helping them navigate their learning and technical skill gaps. Community Contribution: Actively engage in the internal engineering communities, helping to build out an internal repository of reference architectures, Infrastructure … Azure AZ-104). At least one professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. What we’ll offer you: We trust people to do their best work. That means flexibility over rigid rules ...

Nice to have: Experience building Data Mesh or Lakehouse architectures. Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis).Exposure to ML engineering pipelines or MLOps frameworks. BenefitsWhat it's like to work at ZegoAt Zego, we operate like a high-performing sports team. We come together … buildPrivate medical insurance, for you and your familyPension, generous holiday, and 1,000 a year to spend on getting to the office or learning something newCutting-edge systems and tools, so you always have what you need to drive your impactIf you're ready to help build the real ...

performance, risks, priorities and investment recommendations. Required qualificationsSignificant experience in product innovation, data science, or technology strategy roles, including substantial experience applying AI/ML solutions within the financial services sector. Strong understanding of banking, financial technology or enterprise software, ideally across core banking, lending, payments, digital banking or analytics. … Culture@Finastra, Proud@Finastra, Disabilities@Finastra, and Women@Finastra—open to everyone who wants to participate and contribute. Career Development: Access online learning and accredited courses through our Skills & Career Navigator tool. Recognition: Take part in our global recognition program, Finastra Celebrates, and share your voice through regular employee ...

code product platforms (embedded insurance, white-label sales flows, partner-driven experiences). Having worked alongside or led engineers building AI or ML systems in production. Comfort with cloud-native data warehousing (Snowflake or comparable) and the analytics or AI data layer. Experience working in a distributed team across distant … work from anywhere. Paid company parental leave, supporting all parents as they balance career and family. Personal development allowance flexible annual benefit to support learning, wellbeing and personal growth. More about us Open is an AI-powered platform transforming insurance globally making it more transparent, cost-effective and customer ...

financial environments. Hybrid working, based in Scotland.**What you'll do**Set the AI and GenAI architecture strategy and roadmap. Build scalable AI/ML and Agentic AI platforms spanning LLMs, retrieval-augmented generation (RAG), embeddings and semantic search. Lead on deployment, governance and integration patterns, advise clients on platform … agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes and GPU infrastructure.**What we're looking for**Proven enterprise AI or ML architecture design, strong cloud and modern data platform knowledge, and demonstrable experience of scalable AI deployment and integration. Financial services or another regulated industry ...

Location: London, United Kingdom Industry: Insurance Overview We are seeking an AI Platform Engineer to design, build and operate a secure, scalable AI/ML platform supporting insurance use cases including pricing, claims automation, fraud detection, customer analytics and document intelligence. You will partner with engineering, data, security and risk … maintain platform capabilities for model training, feature engineering, deployment and observability across cloud and on-prem environments. Build CI/CD pipelines for ML (MLOps) including automated testing, packaging, model registry workflows and promotion across environments. Implement containerised deployments (Docker/Kubernetes) and orchestration for batch and real-time inference ...