76 to 100 of 184 Machine Learning Jobs in Central London

where analytics directly influences operational and strategic decision making. The role • Delivering data science and analytical solutions from discovery through to deployment • Applying AI, machine learning and optimisation techniques to solve complex operational challenges • Developing predictive, simulation and scenario-planning models • Working with large, complex and often geospatial ...

Candidate Key attributes of a suitable AI Engineer or Senior AI Engineer include: 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 ...

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 ...

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. ...

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 ...

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 ...

Experience Core Experience • 15+ years of experience in technology consulting, digital transformation, or advanced analytics • 5+ years of hands on experience in AI/ML, with strong recent focus on Generative AI and Agentic AI • Proven experience leading complex enterprise deals and large scale solutioning efforts Technical Expertise • Strong hands ...

maintain legacy. Reports to the Operations Director with fractional CTO advisory support. Clear progression as the platform matures into data migration, AI/ML automation and client-facing services. Remote-first, UK-based. Occasional travel to London HQ and acquisition sites. Judged on delivery. ...

want to build ML models that directly drive real customer and lending decisions? Have you worked on customer prediction problems like pricing, forecasting, or segmentation? Are you ready to join a fast-paced fintech where Data Science sits at the core of the business? We’re hiring a Data Scientist … applied machine learning, owning models end to end and working closely with Product and business stakeholders. Key Responsibilities Build and deploy production ML models used in live decision-making Work on customer prediction problems including pricing, forecasting, and segmentation Develop models using Python and SQL on large-scale ...

model selection. 3. Required Skills & Experience 15+ years of experience in technology consulting or enterprise software, with at least 5 years in AI/ML leadership roles. Deep hands-on expertise across the Microsoft AI stack: Azure OpenAI Service, Azure AI Foundry, Semantic Kernel, Copilot Studio, Power Platform, and Microsoft … Familiarity with MLOps pipelines, Azure Machine Learning, and model governance tooling. Contributions to open-source AI projects or publications in AI/ML domains. Experience with multi-cloud AI strategies and interoperability with AWS Bedrock or Google Vertex AI. ...

looking for a Machine Learning Engineer who excels at turning AI research into scalable, production-grade reality. You will be responsible for the 'heavy lifting' building the frameworks that allow our AI models to reason, the pipelines that feed them, and the infrastructure that ensures they are fast ...

product and company Key skillsets: You are a 2025/2026 graduate from a top university in Manufacturing Engineering, Engineering Science, Computer Science, AI, Machine Learning, or a related discipline You demonstrate strong software engineering fundamentals You have hands-on experience building AI systems or working with LLMs ...

most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around ...

deploying AI responsibly at scale Required Skills 10–15+ years in software/data engineering or related technical roles 5+ years in AI/ML, with recent GenAI/LLM exposure Proven track record designing and implementing AI solutions in enterprise settings Strong knowledge of LLMs, APIs (OpenAI, Azure OpenAI ...

internal visibility, alongside experienced Data Scientists and AI Engineers. Role Summary You’ll help design, build, and deploy AI-powered applications using both traditional ML and modern LLM tooling. Projects include AI sales assistants, underwriting automation, internal summarisation systems, and workflow efficiency tools. Key Responsibilities • Build and deploy production-grade ...

Article 15. Technical Requirements AWS Bedrock Expert: Hands-on experience with Bedrock Agents, Knowledge Bases, and model lifecycle management. AI/ML Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP ...

feel like a typical year) Background requred: – Degree in a relevant discipline (Maths, Engineering, Computer Science, etc.) – ~4+ years in AI/ML engineering, or strong software engineering with AI exposure – Experience taking LLM or agent-based systems into production – Strong understanding of system design: orchestration, memory, deployment, monitoring – Exposure ...

Life, Health, and P&C insurance. Drive adoption of AI and automation for efficiency and risk reduction. Lead digital initiatives using data, analytics, and ML models. Collaborate with internal teams to deliver measurable business outcomes. Qualifications: Bachelor s degree in Business, Technology, or a related field; MBA preferred. ...

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 ...

publications role. It is a role for someone who wants to do serious science and see it matter. WHAT YOU BRING PhD in Machine Learning from a leading research institution 7+ years leading applied AI research teams in a commercial environment with access to large-scale, unique data … Deep expertise in at least two of: LLMs and foundation models (pretraining, fine-tuning, distillation), physics-informed neural networks, or reinforcement learning Experience with agent frameworks, tool-use planning and workflow orchestration Systems-level fluency across data pipelines, training infrastructure and inference (PyTorch, JAX, TensorFlow) Strong MLOps discipline ...

/or Python Background in financial services, fintech, or capital markets Experience building distributed systems or high-performance platforms Exposure to AI/machine learning applications (production or applied) Solid understanding of APIs, cloud infrastructure, and system design Bonus: experience with trading systems, digital assets, or blockchain Tech ...

market and AI adoption strategies Required Skills & Experience 4+ years experience in product management or digital product delivery Strong understanding of AI/machine learning concepts and capabilities Experience working closely with engineering and technical teams Ability to define product strategy and prioritise roadmaps Strong communication and stakeholder ...

years of relevant experience Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus Capacity to multi-task in a fast paced environment while keeping strong attention to detail Coding ...

Article 15. Technical Requirements AWS Bedrock Expert: Hands-on experience with Bedrock Agents, Knowledge Bases, and model lifecycle management. AI/ML Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP ...

free therapy sessions, discounts, social clubs, and more) What you’ll be doing: Depending on project, you’ll work across:Data AnalyticsBusiness IntelligenceData EngineeringAI & Machine Learning. You’ll help businesses: Analyse large datasetsBuild dashboards and reportsAutomate processesCreate insight that drives decisions Tech you’ll be exposed to includes: Python ...