2,301 to 2,325 of 2,754 Machine Learning Jobs in London

financial services buyersDesign and lead proof of concept engagements covering risk analytics, regulatory data platforms, real-time fraud detection, customer intelligence, and AI/ML workloads in FSI environmentsAct as a subject matter expert on financial services data architecture, translating complex regulatory and technical requirements into practical, production-ready Snowflake … customersDeep understanding of financial services data use cases including risk management, regulatory reporting (Basel, MiFID II, GDPR), market data, fraud analytics, and AI/ML for credit and customer intelligenceStrong hands-on expertise with cloud data platforms, ideally including Snowflake, and the ability to architect and demo enterprise-grade solutions ...

implementing complex analytical logic that translate nuanced geopolitical and financial risk into structured, interpretable outputs Building and maintaining scalable data pipelines and graph-based ML systems that power risk scoring and entity analysis Partnering closely with Research, Product, and Engineering teams to understand evolving risk frameworks and translate them into … methods to complex, real-world problems Proficiency in Python, SQL, and working with graph databases or knowledge graph structures Experience with graph analysis, graph ML, or network analysis — professional experience is a strong differentiator Comfort working across research and data engineering contexts — this role spans all three Experience with Docker ...

LangGraph, LangChain, Haystack or similar , together with the ability to work below the framework level when required. Experience designing and deploying AI/ML systems into genuine production environments. Strong understanding of model inference, latency, performance, data pipelines, state, memory and tool/function calling. Experience building search and retrieval … development principles, including ISO 27001, NIST or OWASP. Experience within defence, national security or other highly regulated environments. Contributions to open-source AI/ML projects. Security Clearance Due to the nature of the work, applicants must be eligible to obtain UK security clearance . Candidates will generally need ...

Senior ML Engineer – Document Extraction Locations: London (Hybrid, 3 days onsite), Portugal (Hybrid or Remote) Department: Engineering Reports to: Engineering Manager Job Type: Full-Time Job Summary We’re looking for a Senior Software Engineer to join our Document Fraud team, where you’ll build products that delight customers across … documents globally. Lead the technical design of complex features and systems, taking ownership from RFC through implementation to production deployment. Build and optimise production ML systems: develop repeatable pipelines for training, evaluating, and deploying LLM models; implement GPU optimisations for inference; design advanced labeling workflows to improve model accuracy ...

Accelerate Delivery: Apply standardised processes and automated testing to streamline development and reduce time-to-market while managing terabytes of data daily. Driving AI & ML Initiatives: Champion LLMOps & MLOps Strategy, set the architectural framework for building, training, and deploying AI/ML models with automation and regulatory compliance in mind. …/Spring, Python, Docker, Kubernetes, AWS and DevOps methodologies. Familiarity with Spark, Iceberg, Parquet, and other solutions for large‐scale data processing. AI/ML & Analytics Background: Competent in ML & analytics, with exposure to LLMOps and MLOps practices (pipeline automation, model governance). Comfortable leading the architecture of AI solutions ...

infrastructure, and administering Kubernetes clusters across multi-region AWS environments. You'll work alongside experienced and passionate engineers who enjoy solving tough challenges and learning from one another. This is a hands-on team Lead role where you will balance technical expertise with team leadership. Elliptic is building … resilience through SLOs, error budgets, and chaos engineering. Working knowledge of LLM-based services and AI infrastructure. You don't need to be an ML engineer, but you should be comfortable deploying, securing, and operating AI Gateways and services (e.g. Kong AI Gateway, LangGraph deployments, or similar)You'll Thrive ...

predictive signals. Building world-class research tooling to speed up Algo Developers' research iteration. Aiding the development and deployment of very large deep learning models for HRT's live trading. Improving HRT's monetization systems which turn our predictions into profitable trades. Evaluating sim vs. live differences to improve … superlative reviews. Experience with supporting internal users is preferred; bonus if you have real hands-on experience with quant research and/or ML/Deep Learning platforms. Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit, pytorch, etc.)Candidates should ...

pragmatic resolution of validation events/failures, ensuring required records are maintained. Maintain awareness in developments in Artificial Intelligence (AI) and Machine Leaning (ML), including Generative AI, Agentic AI and Large Language Models (LLM) and their use in the development of IXICO computerized systems and products/services. Ensure … Excellent knowledge and experience of Information Security requirements & controls (ISO 27001/SOC2). Knowledge of SaMD regulatory requirements, including the integration of AI & ML into SaMD. Self-starter, organised with a character aligned to IXICO’s core values of Accountability, Ability, Agility and Aspiration. Excellent Microsoft Office package experience ...

work and finding a balance between perfection and practicality. FTI's AI build team is technology-agnostic with software engineering expertise to deploy advanced ML/AI methodologies at scale. Our engagements include using NLP for automated document classification, geospatial modeling of electric vehicle demand, demand forecasting, predictive maintenance, price … simultaneously managing smaller projects or workstreams on larger projects. You will showcase your expertise across a number of technical areas including programming, AI/ML and best practices. What You'll DoData ManagementDevelop and oversee comprehensive ETL processesDesign and maintain functional relational databasesStructure and perform quality control procedures for data ...

work and finding a balance between perfection and practicality. FTI's AI build team is technology-agnostic with software engineering expertise to deploy advanced ML/AI methodologies at scale. Our engagements include using NLP for automated document classification, geospatial modeling of electric vehicle demand, demand forecasting, predictive maintenance, price … including strong knowledge of database structure and efficiency. Proficiency in the following version control language: GitProficiency in any of the following AI/ML frameworks: Huggingface, Torch, Tensforflow, Scikit-Learn, and SpacyExperience in of any of the following additional platforms related to MLOps: MLFlow, dbt, Docker, Kubernetes. Experience with working ...

work and finding a balance between perfection and practicality.FTI's AI build team is technology-agnostic with software engineering expertise to deploy advanced ML/AI methodologies at scale. Our engagements include using NLP for automated document classification, geospatial modeling of electric vehicle demand, demand forecasting, predictive maintenance, price optimization … including strong knowledge of database structure and efficiency.* Proficiency in the following version control language: Git* Proficiency in any of the following AI/ML frameworks: Huggingface, Torch, Tensforflow, Scikit-Learn, and Spacy* Experience in of any of the following additional platforms related to MLOps: MLFlow, dbt, Docker, Kubernetes.* Experience ...

strong external perspective that informs Dynatrace’s internal strategy.What will help you succeedMinimum Requirements12+ years of progressive experience in enterprise technology, AI/ML, or digital transformation leadership — with at least 3–5 years in a senior director or equivalent role with demonstrated portfolio ownership.Preferred RequirementsDemonstrated success shaping and operationalizing … hours offer you the flexibility you need.AI-driven workflowsUse AI as your daily teammate to automate tasks and focus on what matters.Learn & developCompany-wide learning perks, designated team's learning days, and more.Volunteering dayA day of paid volunteer time to support a community or cause you care about.Regular ...

agile team that designs, builds, and operates the services that make large language models usable at scale. This is an infrastructure-meets-ML role: you don't need to be an ML researcher, but you should be excited to learn how model architectures and inference constraints translate into real production ...

shaping the future of fintech – and we're just getting started. There are a myriad of opportunities to use AI/ML as part of business processes in checkout, and we're looking for an expert to help us make these a reality. Unlike many such roles, this … opportunity to truly drive innovation at scale that matters. We're looking for a Staff Level AL/ML engineer to accelerate our adoption into the AI era; helping us set our AI vision and show us what is possible. As part of the Data and AI platform team ...

scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will Own large new areas within our product Work across backend, frontend … interacting with LLMs and ML models Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Be able, and willing, to multi-task and learn new technologies quickly Ideally you'd have 7+ years of full ...

Leveraged AI‐assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation Experience building or integrating AI/ML‐powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context‐appropriate automated testing to inform software design choices and catch bugs … balance technology choices while delivering high‐quality work within deadlines Leading architecture and software design discussions Collaborating on systems that involve the full ML lifecycle from data ingestion and preprocessing, to model deployment, integration, and performance monitoring Generating new potential solutions to challenges (technical and non‐technical) in partnership with ...

role in our Global AI & Data Science team to design, develop and deploy data science models across Marketing, Commercial and Digital, delivering impactful ML solutions. You will collaborate with product owners, data engineers and ML engineers, write production code, define metrics, and contribute to responsible AI governance and model deployment. … strong academic background (MS or PhD) with Python, R and SQL, plus hands-on ML experience with frameworks such as #J-18808-Ljbffr ...

case studies, and reference accounts. Qualification 5–10+ years in Customer Success, Technical Account Management, or related enterprise‐facing roles, ideally in AI/ML infrastructure, cloud computing, or deep‐tech hardware or software. Demonstrated ability to manage complex, multi‐stakeholder accounts and build executive‐level relationships with technical … business audiences. Working knowledge of AI/ML workflows, large language models (LLMs), or HPC infrastructure — enough to credibly engage with data science and ML engineering teams. Proven track record of driving adoption, retention, and expansion within a technical enterprise product. Excellent project management skills with the ability to manage ...

teamsAI & Data (Practical, Not Theoretical)Hands‐on experience with: LLMs and modern AI toolingRAG systems, embeddings, vector searchAgentic patterns (tools, planners, evaluators)Experience productionising ML/AI systems (monitoring, failure modes, iteration)Pragmatic mindset: understands where AI adds value — and where it doesn'tWays of WorkingAgent‐first, spec‐driven … engineersBias toward shipping, learning, and iteratingNice to Have (But Not Required)Experience with logistics, optimization, or simulation‐heavy domainsBackground in data engineering or ML platformsExperience building developer tools or internal platformsExposure to regulated or security‐conscious environmentsTech StackBackend: Python (Django/FastAPI), TypeScript (Node.js)Frontend: ReactAI: LLMs, RAG pipelines ...

product infrastructure that support education product features and platform experiencesMove quickly from prototype to production, balancing speed, quality, maintainability, and user impactIntegrate and productize ML/AI solutions in close collaboration with digital experience and platform engineering teamsBuild and maintain automation, plugins or SDKs for CAD platforms (e.g., Fusion, Revit … participate actively in code reviews and design discussions; follow security and data-handling best practicesCollaborate closely with product managers, designers, researchers, frontend engineers, ML engineers, and platform teams to turn ambiguous problems into shipped featuresDocument designs, APIs, runbooks and hand-off materials to product teams, and help onboard other engineers ...

customer obsession and technical excellence. A key dimension of this role is helping customers understand how AWS foundational services underpin and enable AI/ML transformation — ensuring infrastructure readiness, performance optimization, and security posture as customers scale their AI ambitions. Key Job Responsibilities Team Leadership & Management Build, coach, and retain … domain areas Identify patterns in customer needs across the region to inform product priorities, especially at the intersection of core infrastructure and AI/ML workloads Represent AWS in executive-level discussions, public speaking engagements, industry events, and written content that demonstrates how AWS infrastructure delivers customer value Basic Qualifications ...

Platform Engineer to build and own the infrastructure that underpins our AI-driven materials discovery platform. You'll work directly with world-renowned ML researchers and software engineers to accelerate real scientific breakthroughs by making model training, experimentation, and deployment fast, reliable, and reproducible. This is a foundational hire. … configuration, job scheduling, and cost optimisation. Build and maintain CI/CD pipelines that support rapid model iteration, automated testing, and safe deployments. Support ML workflow orchestration; experiment tracking, training run management, and data pipeline reliability. Ensure reproducibility across research and production environments through containerisation and rigorous environment management. Define ...

design and review infrastructure, and your instinct for security and reliability makes the whole platform better.* You unblock people. Data engineers, ML engineers, and Data teams depend on the platform to move fast. You’re the person who understands what they need, builds the right foundations, and makes sure … across the organisation* Operate and evolve GCP data platform services - BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub - in close collaboration with data and ML engineering teams* Support IAM, service account design, and security posture across the platform, enforcing least-privilege principles* Lead incident response and root cause analysis ...

client, a leading global SaaS organisation is looking for a Senior Data Analyst to work on exciting AI/ML user experience projects for a 12 month contract. Hybrid with 3 days on site. Responsibilities; Providing data sources that help build the AI/ML user experience Build and maintain ...

client, a leading global SaaS organisation is looking for a Senior Data Analyst to work on exciting AI/ML user experience projects for a 12 month contract. Hybrid with 3 days on site. Responsibilities; Providing data sources that help build the AI/ML user experience Build and maintain ...