251 to 275 of 605 Machine Learning Jobs in London

sales and engineering to refine offerings Requirements Experience in Solution Engineering, Pre-Sales, Sales Engineering or Technical Consulting Strong knowledge of LLMs, Generative AI, Machine Learning Hands-on with LangChain, OpenAI, GPT or similar tools Programming experience in Python Experience with APIs, integrations and REST services Cloud exposure ...

Candidate Key attributes of a suitable Data Scientist or Senior Data Scientist (Agentic AI) Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such ...

prevention. Responsibilities Lead global risk, trading, and quant analytics teams across MT4/MT5 and proprietary platforms. Build and implement quantitative risk models using machine learning/AI for client classification, order-flow analysis, and predictive risk monitoring. Analyse CFD order flows (with a focus on gold ...

opportunity to work at the heart of a highly data-driven trading environment, building the platforms and pipelines that power advanced analytics, machine learning and systematic trading strategies. The firm operates across global energy and commodities markets and is known for combining quantitative research, advanced analytics and modern ...

responsibilities: Own full MMM project cycles - from data strategy and modelling to insights, activation, and client recommendations. Apply econometrics, regression, Bayesian methods, and machine learning to large, complex datasets. Produce dashboards, decisioning tools, and visual analytics using internal frameworks. Translate technical outputs into clear, strategic recommendations for senior ...

structures and caching mechanisms that ensure low-latency and high availability. Integrate AI & Blockchain Solutions – Work closely with AI and Web3 teams to power machine learning models, smart contracts, and tokenized assets . Collaborate with Front-End & DevOps Teams – Ensure seamless API integrations, CI/CD deployments ...

environment across global teams Nice to Have Degree in Computer Science or a related discipline from a Tier 1 academic group Experience with production machine learning or LLM-based systems Exposure to enterprise data platforms or similar tools Frontend development experience (e.g., React) Familiarity with distributed computing frameworks ...

Experience implementing governance frameworks and best practices for AI systems. Strong problem-solving and analytical skills. Desirable Experience Experience with Azure AI Studio, Azure Machine Learning, or Cognitive Services. Familiarity with DevOps practices and CI/CD pipelines within the Microsoft ecosystem. Experience integrating AI solutions with Microsoft ...

landscape and the challenges and opportunities faced by government agencies Deep knowledge of data analytics and related technologies, including cloud computing, artificial intelligence, and machine learning Excellent communication, presentation, and negotiation skills Proven leadership ability, with a track record of building and motivating high-performing teams. ...

most value. What They're Looking For Science or Engineering degree from a leading university Hands-on experience applying AI/ML in financial markets, trading, or investment research Familiarity with time series analysis and financial data Full-stack proficiency: Python (backend) and React JS (frontend) Experience with LLM inference ...

upsell opportunities, driving revenue growth and expanding market share. Platform engineering, microservices, reusable AI components, ontologies, knowledge graph engineering. Data and AI engineering, ML pipelines. Client analytics experience. AI-enhanced document and workflow automation on Cloud Enable agentic workflows, including automated processing of unstructured data and documents as well ...

across Europe (EMEA exposure essential) Ability to engage both technical and business stakeholders Excellent presentation and communication skills Highly Desirable: Exposure to AI/ML/data-driven platforms in financial services Knowledge of cloud architectures (AWS, Azure, GCP) Experience with modernisation/core transformation programmes Fluency in an additional ...

efforts in the UK market. The ideal candidate will have a proven track record in selling digital transformation solutions around Data, Cloud, AI/ML, GenAI and a deep understanding of the Retail, CPG, and Manufacturing sectors. This role requires a strategic thinker with excellent leadership skills, who can drive ...

package for the right candidate. Essential requirements: Strong academic background — a rigorous foundation matters here At least 2 years working with AI or ML systems in production and 3–5 years of substantive software/platform engineering Deep JavaScript/Node.js skills Azure Fluency JSON data structures, REST API design ...

derivatives pricing across Front Office, Model validation or Risk functions within financial services Solid background in stochastic calculus and data science including AI/ML techniques Experience with flow and exotic products in one or more asset classes Strong programming skills (e.g. C++, Rust, Python) and familiarity with software development ...

required; advanced university degree preferred. Hands-on experience with AI development platforms (e.g., GitHub Copilot, AWS KIRO, Microsoft Copilot Studio). Strong understanding of ML, LLMs, generative AI, prompt engineering, evaluation, and safe-use patterns. Solid knowledge of software development, system design, API integration, and AI workflows linked to enterprise ...

both strategic and hands-on levels. Desirable: Previous VP Engineering experience. Experience in a scale-up or high-growth environment. Knowledge of AI/ML integration in product development. Familiarity with SOC 2, ISO 27001, and GDPR compliance. Background in SaaS, fintech, or enterprise software. Experience customising Trading Systems (e.g. ...

small team Strong communication skills and willingness to ask for support when needed Bonus Points Experience designing data models to support AI/ML or LLM-based analytics Interest in using AI tools to enhance developer productivity Exposure to semantic layers or metrics layers Experience with customer data Ability ...

technical audiences Escalate risks and propose mitigation strategies proactively Support documentation of architecture, pipelines, and operational processes Good to Have Exposure to AI/ML data workflows (feature engineering, model inputs, MLOps basics) Awareness of LLMs/Agentic AI architectures from a data platform perspective Experience with other platforms such ...

data management, software engineering, security, and scalability. Awareness of a wide range of established and emerging technologies, including Data use for AI and ML, and Data for enhancing automation and decision making. We are looking for someone who is passionate about technology, enjoys problem-solving, and has a collaborative mindset. ...

software application security and mobile security. Experience implementing and improving DevSecOps processes in cloud native (AWS or GCP) environments. Knowledge of AI/ML security risks and governance frameworks like ISO 42001 or NIST AI RMF. Experience leading security operations, incident response, and threat management. Ability to work collaboratively with ...

York, Lisbon, Singapore, and remoteOur team is hiring a senior technical leader in the Principal Data Scientist. We are seeking a practitioner with extensive ML/AI product development experience who can drive innovation at scale, guide cross-functional initiatives, and meaningfully contribute to Bitsight’s long-term business … technical strategy. Specifically, this role will be in charge of designing and deploying advanced, production-grade ML/AI applications within our AI-driven entity mapping and Graph of Internet Assets (GIA) data engine, leveraging advanced graph technology and ML/AI models to discover complex entity and asset relationships ...

methodologies. Deep understanding of machine learning, statistical modelling, and optimisation techniques. Strong programming skills (Python preferred) and experience with modern AI/ML frameworks. Proven experience delivering AI solutions in complex or high‐security environments. Desirable Skills Experience with MLOps, LLMOps, or production‐grade AI deployments. Knowledge … vector databases, RAG, and prompt engineering techniques. Exposure to government, defence, or national security domains. Who This Role Suits A senior‐level AI/ML specialist who wants to apply cutting‐edge AI in meaningful real‐world contexts. An expert comfortable taking LLM‐based projects from concept through evaluation ...

business transformation. This includes: Core Google Cloud Platform (GCP) Solutions Google Cloud Platform (GCP) – compute, networking, serverless, containers Vertex AI, GenAI, AI/ML Platforms – advanced AI solutions and managed services BigQuery & Data Analytics – data warehouses, analytics pipelines Anthos, Kubernetes & Cloud Infrastructure modernisation Security, governance, and compliance tooling Integration with … Google Workspace and collaboration platforms Searce Services You’ll Represent Cloud modernisation & migration consulting Data & analytics implementation Applied AI & machine learning solutions Full-stack engineering and product delivery Future of work transformation using collaboration platforms Managed cloud services & ongoing optimisation You will engage CxOs and enterprise stakeholders ...

highly quantitative field, strong programming skills and the ability to work from first principles, learn quickly and communicate complex research clearly. Prior experience in machine learning or AI security is welcome but not essential, and eligibility for Developed Vetting (DV) clearance is required. Your Profile We are looking … challenge of applying rigorous mathematical and experimental thinking to complex AI security problems. Experience in areas such as optimisation, robustness, verification, deep learning, cybersecurity or AI red teaming would be an advantage, but just as important is the ability to move comfortably between theory, modelling and experimentation, engage with ...