2,326 to 2,350 of 2,755 Machine Learning Jobs in London

skills with the ability to influence cross-functional teams. Strong communication and presentation skills, including engagement with senior business stakeholders. Knowledge of AI/ML capabilities, customer data ecosystems, and modern data platforms. Ability to interpret data and customer insights to drive product decisions and business outcomes. Demonstrated experience delivering … such as Snowflake, Azure Data Lake, or similar cloud-based technologies. Understanding of model monitoring, observability, and performance tracking practices. Exposure to AI/ML-enabled products and data monetization initiatives. Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature ...

that incorporate GenAI and LLM platforms for example Claude, OpenAI, Gemini or equivalent alongside agent orchestration and tool use and design scalable AI and ML solutions aligned to business goals, integrating them into existing enterprise landscapes, and embed appropriate LLMOps controls, evaluation and Responsible AI Governance. Strategy, operating model … first‐class services we are known for. Please note that with all of our roles, you should expect some in‐person time for collaboration, learning and building relationships with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work ...

work on the entire company's backend code base: data models, algorithms, data pipelines, infrastructure, APIs, complex database queries, LLM agent pipelines, ML models. Deploy, manage and support on-premise deployments of Circuit Mind’s software. Learn, use, and improve best practices and processes for high-quality software development. … days a week in the office. 5 weeks per year to work wherever you want in the world. London Bridge office. Extended parental leave. Learning and development budget to support your professional development. Yearly retreat. Access to Circuit Mind's cutting edge EDA platform. At Circuit Mind we value ...

someone who can drive innovation while delivering under tight timelines and high expectations. The role You will lead multidisciplinary engineering teams (AI/ML, data, software, platform) to deliver AI capabilities that are trusted, adopted, and production-grade . You’ll partner with senior stakeholders & Product Managers to define outcomes … Lead engineering execution across multiple teams, ensuring clear ownership boundaries, interfaces, and ways of working Drive pragmatic technical direction across AI systems: LLM/ML deployment patterns, model lifecycle, monitoring, and iteration Ensure production readiness: security, reliability, observability, governance, and cost awareness (FinOps mindset) Unblock teams through active problem-solving ...

enterprise architecture, technical consulting, or technical pre-sales in Data and AI domains.Deep, hands-on technical expertise across enterprise data platforms, AI/ML, Generative AI, and agentic architectures — including Salesforce Agentforce, Data360, and the Salesforce platform.Demonstrated experience engaging C-level executives (CDO, CTO, CIO, CDAO) as a trusted technical … with hyperscalers vs. Salesforce. Deep familiarity with Informatica (IDMC) for enterprise data integration and MDM, alongside Snowflake, Databricks, BigQuery, and Redshift.AI & Agentic Architecture Foundational ML concepts, data preparation, Python, applied AI, Generative AI, prompt engineering, retrieval-augmented generation (RAG), vector stores, and agentic architectures. Hands-on familiarity with platforms like ...

CirlceCI etc Awareness of the latest developments in testing tools and design patterns Bonus Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud Whats in It for You? At Scale Factory … lifestyle. Social Events: From annual kick-offs and Christmas parties to team socials and sporting events, we love celebrating success together. Training & Development: Tailored learning opportunities and full support for certifications to keep your skills sharp. Lets Build the Future Together Were on the lookout for passionate, talented individuals ...

CirlceCI etc Awareness of the latest developments in testing tools and design patterns Bonus Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud What's in It for You? At Scale … lifestyle. Social Events: From annual kick-offs and Christmas parties to team socials and sporting events, we love celebrating success together. Training & Development: Tailored learning opportunities and full support for certifications to keep your skills sharp. Let's Build the Future Together We're on the lookout for passionate ...

with Business Analysts and internal stakeholders to bridge the gap between commercial requirements and technical implementation. Technical RequirementsProfessional Experience: 5+ years in AI/ML engineering with a documented history of moving complex models from research into production. Python Mastery: Deep proficiency in Python. You have a strong commitment … 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. teamworkOur core values dictate how we live and work. We're an ethical ...

need? We are fully aware that it is uncommon for a candidate to have all skills required, and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more, we do want to hear from … engineering roadmaps. Nice to Have: Experience with MarTech tooling or reverse ETL setups (e.g., HighTouch, Braze, vendor API integrations).Familiarity with modern AI/ML data integration practices. Background in fintech or fast-scaling tech platform environments. Additional InformationAdditional InformationInterested? Find out more: Wise Tech StackWise Engineering BlogEngineering career mapFor ...

Analysts and internal stakeholders to bridge the gap between commercial requirements and technical implementation. Qualifications Technical Requirements Professional Experience: 5+ years in AI/ML engineering with a documented history of moving complex models from research into production. Python Mastery: Deep proficiency in Python . You have a strong commitment … 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 ...

just a few years. 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let’s create tomorrow, together, today. About the role and team: You'll be bringing SRE discipline … Have 4+ years' experience in DevOps, SRE, or platform engineering, including production ownership of Kubernetes-based systems. Have hands‐on experience operating AI or ML systems in production — model serving, LLM inference, or MLOps pipelines — a strong plus. Are strong in Python for automation and operational tooling, with production experience ...

senior level with evidence of growing scope and initiative.* Experience in cybersecurity, email security, or adjacent enterprise SaaS domains preferred.* Familiarity with AI/ML concepts including prompt engineering, model evaluation, retrieval-augmented generation, and agent orchestration frameworks is valuable but can be developed in-role.* Prior experience … have real customer impact. You will be immersed in a dynamic environment that recognizes and celebrates your achievements.Mimecast offers formal and ‘on the job’ learning opportunities, maintains a comprehensive benefits package that helps our employees and their family members to sustain a healthy lifestyle, and importantly - working in cross ...

Agile environments with a continuous improvement mindsetExperience leading change across technology, process or ways of workingHands-on experience using or introducing AI or ML tools within engineering teamsTechnical foundationsSolid understanding of cloud-native architecture, AWS and distributed systemsProficiency in at least one modern programming languageStrong grasp of system design … physical, and financial well-being. Growth and development: we invest in your professional learning. Our Altus Intelligence Academy offers over 150,000 hours of learning content. Flexible work model: our Activity-Based Work model provides flexibility to align your work location to the needs of the work ...

Agile environments with a continuous improvement mindsetExperience leading change across technology, process or ways of workingHands-on experience using or introducing AI or ML tools within engineering teamsTechnical foundationsSolid understanding of cloud-native architecture, AWS and distributed systemsProficiency in at least one modern programming languageStrong grasp of system design … physical, and financial well-being. Growth and development: we invest in your professional learning. Our Altus Intelligence Academy offers over 150,000 hours of learning content. Flexible work model: our Activity-Based Work model provides flexibility to align your work location to the needs of the work ...

This is founding-engineer territory. The team is small, the problem is unsolved, and the market is massive. You're not joining a machine that's already running. You're building it. The architecture decisions you make in the next 6 months will define the platform for years. … just ship features. Experience in financial markets, algo-trading, or prediction market platforms (Polymarket, Manifold, etc.) Quantitative background in maths, statistics, or probability theory ML experience including random forests, regression models, scikit-learn, and PyTorch AWS infrastructure experience deploying containerised applications and managing cloud environments (EC2, Lambda, RDS) Open-source ...

Experience navigating compliance frameworks relevant to European financial services and insurance (DORA, NIS2, SOC 2, PCI-DSS, and national regulators' guidance on AI/ML such as FCA/PRA, BaFin, ACPR, FINMA).A track record of leading complex, high-stakes engagements with CISOs, security teams, and compliance officers … team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional ...

outcomes. You will engage at executive level across revenue authorities, finance ministries, and consulting partners. You will understand how data, analytics, and AI/ML can transform fiscal operations and will navigate the data sovereignty landscape unique to government finance, including sovereign cloud positioning. You will define go-to-market … countries. Build executive relationships with tax authority leaders, finance ministry decision-makers, central bank executives, and partner organisations. Translate data, analytics, and AI/ML capabilities into propositions that resonate with government leaders focused on revenue collection, citizen experience. Navigate data sovereignty requirements unique to tax, positioning sovereign cloud solutions ...

form around a problem and own the product end to end. No throwing models over a wall. What you'll do Take AI and ML systems from ideation to production Build GenAI applications with LLMs and orchestration frameworks, evaluation, safety and cost built in Write clean, production grade Python … technical stakeholdersMinimum technical requirements - Important - please read before applying Python - strong and production-grade. There's a live coding exercise at interview. ML, full lifecycle - framing through training, deployment, monitoring and retraining. In production, not in a notebook. GenAI/LLMs - applications built with LLMs and orchestration frameworks, shipped ...

queues, serverless, logging/monitoring, secrets. Git workflows and CI/CD pipelines Debugging & problem-solving skills with strong ownership across the SDLC.Generative AI & ML Requirements Experience building agents Vector databases and RAG patterns (indexing, chunking, embeddings, retrieval). LLM integration (OpenAI, Azure OpenAI, Anthropic, or open source models) with … design, safety/guardrails, and cost/perf tuning. Nice to have - Highly desirable: experience with AgentCore, AWS Neptune, Amazon API gateway- Familiarity with ML fundamentals relevant to content generation (embeddings, tokenization, evaluation, fine tuning/LoRA, prompt+retrieval evaluation)- Frontend development with React (TypeScript preferred) to build the application ...

writing clean, high-performance code Expertise with Python (FastAPI) Pydantic Postgres SQLAlchemy AWS Experience with distributed systems tools (e.g. Redis, Celery) Any experience with ML inference - GCP, Modal would be useful Background working with streaming data or IoT/edge environments Previous experience in fast-paced or startup-style settings … ability to work effectively in cross-functional teams If you're excited by the idea of working on cutting-edge platforms that integrate ML, Computer vision, data, AI, and real-world systems, this could be the role for you. To learn more, please contact Matt Andrews at IC Resources. ...

cloud-native architecture, security and engineering governance. Experience evaluating and integrating third-party Financial Crime or Risk technology platforms. An understanding of AI/ML and GenAI architecture, particularly within regulated environments. Knowledge of responsible AI principles including explainability, human-in-the-loop controls, model governance and auditability. The ability … particularly relevant: Salesforce Financial Services Cloud | Snowflake | ComplyAdvantage | OCS | SQL | Python | REST APIs | Event-Driven Architecture | Cloud | CI/CD | DevSecOps | AI/ML | GenAI | LLMs | RAG | Data Governance | Data Lineage If you have the above experience please apply immediately ... ...

first senior data hire to architect and lead the data infrastructure behind our AI platform, real-time pipelines, analytics, vector databases, and ML data workflows, setting the standards the whole future data team will be built on. This is an individual contributor role: you'll be the senior technical owner … storage architectures across operational and AI workloads Develop and manage batch and real-time data pipelines Build and optimise vector search, retrieval, and ML data pipelines Own data reliability, security, and governance Implement monitoring, observability, and data quality frameworks Set the culture, standards, and hiring bar for the data function ...

first senior data hire to architect and lead the data infrastructure behind our AI platform, real-time pipelines, analytics, vector databases, and ML data workflows, setting the standards the whole future data team will be built on. This is an individual contributor role: you'll be the senior technical owner … storage architectures across operational and AI workloads Develop and manage batch and real-time data pipelines Build and optimise vector search, retrieval, and ML data pipelines Own data reliability, security, and governance Implement monitoring, observability, and data quality frameworks Set the culture, standards, and hiring bar for the data function ...

aligned with Lakehouse best practices. Lead delivery of production-grade data platforms — ingestion, transformation, orchestration, governance through Unity Catalog, and downstream BI/ML enablement. Lead large-scale migrations (legacy DW/ETL, Hadoop, on-prem estates) and cloud transformation projects to Databricks on Azure/AWS/GCP, including … price them, and defend them under fire. Modern edge — strong Python/SQL/Scala, CI/CD for data platforms, and comfort integrating ML/AI (MLflow, LLM APIs like OpenAI and Anthropic) into what you build. Certified credibility — Databricks Data Engineer Professional/SA accreditations strongly preferred. Founder ...

Bachelor’s or higher) in Computer Science, Data Science, Engineering, Informatics, or a related field.* Strong hands-on experience building and deploying AI/ML/DL/NLP/LLM systems in production environments.* Proficiency in Python and modern AI frameworks and tools (e.g. PyTorch, Transformers, Scikit-learn, OpenAI … e.g. EHR platforms such as Epic or Cerner).* Experience building commercial software products in regulated environments.* Publications or research experience in AI/ML/DL/NLP/LLM or biomedical informatics.* Startup or scale-up experience.## Perks and Benefits* Flexible working hours.* Benefits include private medical insurance ...