476 to 500 of 2,701 Machine Learning Jobs in London

retrieval, grounding, and orchestration layers that agentic systems depend on. You'll combine deep expertise in data engineering, analytics, and AI/ML with an understanding of the financial services landscape to translate complex challenges into elegant, scalable cloud solutions — navigating regulatory requirements, data sovereignty constraints, legacy environments, and multi … technical audiences, including executive level stakeholders or clientsPreferred qualification - Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage- PhD in computer science, machine learning, engineering, or related fields, or experience with AWS services including ...

Machine Learning/AI Architect Day rate: £650pd inside IR35 Essential: Active SC clearance Remote with ad-hoc travel to site London Competencies/skills Essential Delivery experience of AI-focussed technology projects within larger, strategic programmes o Experience in hosting and tuning AI models to achieve … scalable AI inference for users o Experience in X-ray image based AI models, density and object-based identification o Experience with AI/ML platforms and processes: OpenVINO or similar toolkit; MLOps training pipeline; SageMaker. Requires experience of data governance, privacy policies and AI assurance methods Requires indepth ...

business value while at the same time minimizing cost of ownership of our technology estate. Responsibilities and Impact: Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment. Design, build, and operate … degrade or fail in production. Partner closely with engineering, data platform, product, and business teams to translate complex analytical problems into scalable, production-ready ML systems that deliver measurable operational and business outcomes. Act as a hands-on technical authority and multiplier, reviewing models, guiding senior practitioners, improving data quality ...

Role Title: Senior Pre-Sales Engineer - Applied ML/HPC Reports to: Head of Solutions Architecture Location: Central London, Hybrid Employment Type: Full Time About ORCA ORCA Computing, headquartered in London, UK, and with an office in the United States, is a developer of full-stack photonic quantum computing systems. … system diagrams clearly Proven ability to build and operate technical demos, prototypes or PoCs, including presenting them to technical stakeholders Experience with AI/ML, HPC, distributed systems, or scientific computing environments, including an understanding of performance, scaling and system architecture Strong programming skills in Python, with familiarity with ML ...

demand and decide network handovers. That's 10+ models running in the critical path of a live logistics network where quality is non-negotiable. ML Stack Highlights Python and Rust. We keep things simple but use the right tool for the job Rust with ONNX in-process model execution where … Kubernetes, with extensive use of BigQuery The Opportunity As a Senior Machine Learning Engineer at Relay, you'll: Own critical part of ML: productionising of our models end-to-end, from training pipeline through live integration to measured business impact. Build and mature our ML Platform. Evolve ...

London. In this pivotal role, you'll provide technical leadership across the full lifecycle of machine learning systems while architecting production-grade ML solutions. You will work with AWS SageMaker, lead teams on MLOps strategies, and ensure systems adhere to governance standards. This is a hands-on, technical … position ideal for those with deep expertise in ML frameworks such as PyTorch and TensorFlow, as well as experience in deploying scalable architectures. #J-18808-Ljbffr ...

strategy - adaptation, fine-tuning, and dynamic cost/quality/latency-aware routing Set the standards for high-throughput, low-latency inferencing and classical ML deployment within unified, production-ready platforms Own the architecture of the enterprise context layer - knowledge graphs, ontologies, vector search, and semantic retrieval - grounding the solution … Degree or equivalent REQUIRED SKILLS/EXPERIENCE: Extensive experience in designing & deploying enterprise grade advanced ai solutions using agentic,generativeand classical AI/ML using at least one cloud vendor. Proven experience in the LLM and Generative AI space. Well versed in architecting and operationalizing LLM driven application architecture patterns. ...

## Machine Learning Quality EngineerApplylocations: GBR-London-10 Paternoster Square: IND-Hyderabad-CapitaLandtime type: Full timeposted on: Posted Todayjob requisition id: R0120981Corporate Engineering AI (CE AI) TeamThe Corporate Engineering AI team is the central enablement and platform delivery function for LSEG’s internal agentic AI ecosystem. The team … tool misuse, invalid inputs, and latency amplification.\* Produce testing evidence required for Permit to Build (PTB) and Permit to Operate (PTO).\* Partner with ML Engineers to embed testability and evaluation hooks into MCP servers and Skills.\* Help define the long‐term quality and governance model for federated MCP contributions ...

Your leadership and expertise will help us deliver reliable, scalable solutions that transform how we serve our clients. Job Summary: As an Applied AI ML Director in the International Consumer Bank (ICB) team, you will drive the end-to-end delivery of high-impact AI and machine learning … ensure production-ready deployments. Your role combines technical depth, people leadership, and strong delivery discipline. You will help shape our Applied AI/ML strategy and foster a culture of excellence and innovation. Job Responsibilities: Own end-to-end AI delivery, partnering with the business to identify use cases ...

software solutions for XVA risk systems, writing and reviewing production-quality code while ensuring alignment with enterprise architecture standards. Build and integrate AI and Machine Learning solutions into core XVA workflows — applying Generative AI tooling to automate processes, improve analytical accuracy, and measurably accelerate engineering output. Take … infrastructure as code. Master's degree in Computer Science, Finance, or a related field; professional certifications such as PMP, CSM, or AI/ML credentials are a plus. Prior experience applying AI or automation specifically within risk analytics, trading systems, or regulatory reporting workflows. This job description provides a high ...

software solutions for XVA risk systems, writing and reviewing production-quality code while ensuring alignment with enterprise architecture standards.* Build and integrate AI and Machine Learning solutions into core XVA workflows — applying Generative AI tooling to automate processes, improve analytical accuracy, and measurably accelerate engineering output.* Take … infrastructure as code.* Master's degree in Computer Science, Finance, or a related field; professional certifications such as PMP, CSM, or AI/ML credentials are a plus.* Prior experience applying AI or automation specifically within risk analytics, trading systems, or regulatory reporting workflows.This job description provides a high-level ...

make them happen. About the roleAs a Principal Machine Learning Engineer, you'll serve as the definitive technical authority on ML engineering across the organisation, setting the standard for how we design, build, and scale AI systems. You will own the architectural vision for our most complex … ensures our technical foundations are built to last. What you'll be doing: Defining and owning the organisation-wide technical vision for ML engineering, establishing architectural standards and engineering practices that scale across teams and clients. Overseeing the end-to-end delivery of flagship, business-critical ML programmes, spanning multiple ...

techniques such as time-series methods, machine learning and NLP to extract value from dataAnalyze large data sets using advanced statistical and ML methods to identify trading opportunitiesHelp to develop statistical and ML based tools and techniques to solve complex data related problems throughout the firm. Typical … Primary focus throughout the day is on researching new statistical and ML techniques and exploring datasetsDiscuss and present research results with other researchersDeploy and monitor models used to generate trading signals. Required Qualifications: Quantitative background - includes advanced degrees in computer science, machine learning/NLP, statistics, signal processing ...

values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies ML/GenAI Delivery in Enterprise: 5+ years of experience leading end-to-end delivery of AI/Machine Learning initiatives across complex environments Agile … Certified Cloud Practitioner, or equivalent delivery/Agile certifications (e.g., SAFe, Scrum Master) are highly desirable Responsibilities Oversee planning, execution, and release of multiple ML/Gen AI projects aligned with strategic objectives Manage dependencies across internal and external squads, ensuring smooth progress and timely delivery of product increments Facilitate ...

challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such … dedicated Career Manager to help you develop your career and guide you on your journey through BAE Don't know a particular technology? Your learning and development is key to your future career and we provide a range of excellent training courses to enable you to upskill ...

challenges! It would be great if you also had experience in some of these, but if not we’ll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such … dedicated Career Manager to help you develop your career and guide you on your journey through BAE Don’t know a particular technology? Your learning and development is key to your future career and we provide a range of excellent training courses to enable you to upskill ...

Spotify AB is looking for a Senior Staff Machine Learning Engineer to build and scale ML systems for content understanding and decision-making across the platform. This role is foundational to ensuring high-quality content delivery while enabling innovative interactions. You will shape the machine learning strategy and collaborate with various teams to uphold content standards. The position offers flexibility to work from home and numerous learning opportunities. #J-18808-Ljbffr ...

projects. Engineering Domain Expertise: 2+ years of dedicated experience managing programs focused directly on core engineering infrastructure, platform services, or distributed systems. AI/ML Literacy: Strong foundational understanding of the Generative AI lifecycle, including LLM utilization for structured downstream tasks, model fine-tuning, and performance evaluation. Masterful Communication: Proven … iterative development methodologies and modern project management tooling (Jira, Linear, etc.).Growth Mindset: An insatiable appetite for learning and deeply engaging with modern ML/GenAI practices and infrastructure. Nice-to-Have QualificationsEngineering Roots: Strong software engineering fundamentals, ideally with prior professional experience as a software engineer or data ...

Technical Lead, Machine Learning, you own the execution layer of A1's intelligence. You translate research direction into reliable, scalable, production-grade ML systems. This role sits at the intersection of research, infrastructure, and product. You are responsible for making models trainable, deployable, observable, and performant under real … world constraints. What You'll Do Own end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment. Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation. Architect and operate scalable inference systems, balancing latency ...

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 them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such ...

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 them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such ...

Machine Learning Engineer to own retrieval and knowledge representation components at the heart of Scale GP. You will drive end-to-end ML deliverables, from research and prototyping to production deployment, working across knowledge bases, vector stores, RAG pipelines, and context engines that power enterprise agents. Ideally … have 5+ years building production ML/AI systems, a strong CS/ML degree, and deep retrieval knowledge. #J-18808-Ljbffr ...

looking for a Senior AI Platform Engineer to help design, build, and evolve the core AI platform that enables Generative AI, Agentic AI, and machine learning applications across the business. This is an opportunity to join at the beginning of the platform's journey. Rather than inheriting … YouThis role will be a great fit if you: AI Platform EngineeringHave 5+ years of software engineering experience, including 2+ years building AI/ML platforms, Generative AI applications, or production machine learning systems. Have experience designing and deploying enterprise AI applications into production with a strong focus ...

collaboration with senior technical customers and cross-functional teams. The role is suited to a senior engineer with deep expertise in AI/ML security, modern software engineering, and secure-by-design approaches. You will champion secure architectures, embed DevSecOps practices, and help elevate engineering capability as the organisation adopts … looking for Experience operating as a senior security engineer and leading engineering initiatives in a DevSecOps environment. Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands-on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow ...

Machine Learning Software Stack. You will work closely with the QA and development teams to get an understanding of how our ML SW stack is built, helping to ensure good build practices, and proving that the stack works together and is reproducible in secure, sandboxed environments. Responsibilities … Duties Developing ourinternal toolingforbuilding,testingand integrating togetherthe ML Software Stack Developing tools and technical processes for Software Releases Providing guidanceto developersonbestbuildpracticesand dependency management Communicatingregularly withdevelopers,tech leads,andsoftwarearchitectsaboutaspects of the MLSoftware Stack Working closely with QA and the ML Software Stack to resolve any integration issues Contributing fixes towards ...