101 to 125 of 215 Machine Learning Jobs in Central London

Experience: The incumbent should have 1012+ years of experience in IT services sales in the European market , with at least 5+ years selling AI, ML, and data-led solutions . Exposure to the EMEA region is highly desirable, with a proven track record of closing large, complex AI transformation deals ...

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 ...

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 ...

Inference Group is a fast-growing data and AI consultancy dedicated to helping organisations unlock their true potential through the transformative power of data, machine learning, and AI. Working with customers worldwide we help turn cutting-edge ideas into scalable, operational solutions that enhance human decision-making … deep technical expertise with a practical, delivery-focused mindset. As we grow, we're looking for like-minded people who are excited by lifelong learning, eager to challenge existing ways of working, and motivated to make a real impact in an AI-driven world. Role Overview We are continuing ...

energy trading, commodities, or financial markets. Understanding of curves, market data, pricing models, algo workflows, and analytics platforms. Quantitative skills in statistical modelling, machine learning, or computational analytics. Experience leading multi-country engineering organisations and large-scale platform transformations. Strong stakeholder management, prioritisation, and delivery discipline in fast ...

migrations, including CDC approaches Strong Python and SQL skills Understanding of data platforms (e.g. Snowflake/CDP) and ingestion pipelines Exposure to AI/ML enablement frameworks (.e.g AWS SageMaker) and supporting infrastructure for model training, deployment Familiarity with modern development and deployment frameworks Experience with dbt/ELT patterns ...

models in live production environments Who You Are: Degree in Science or Engineering, ideally from a leading university Hands-on experience applying AI/ML to financial markets, trading, or investment research Strong understanding of financial data and time series analysis Proficient in Python for backend work and React ...

with ontologies, semantic data platforms, and AI agents. Design decision systems - Go beyond modelling to architect end-to-end decision systems combining data pipelines, ML models, business rules, semantic layers and AI agents, all embedded in real workflows and operational systems. Grow the business - Drive new client relationships and expand … decision science, data science, quantitative modelling, or operations research. Proven track record applying models in live business decision environments. Strong fluency in Python, modern ML tools, and decision optimisation frameworks. Deep understanding of statistical modelling and machine learning with experience deploying models into production-scale systems. Beneficial: pricing ...

sharpness in problem solving. Evidence of personal agency in driving toward net optimal outcomes. Strong machine learning priors, ideally with experience training ML models for production use-cases. Ability to hold large, complex systems in working memory and reason clearly about mechanics and failure-modes. Attention to detail. ...

Your Responsibilities: Explore, clean, and analyse large, complex datasets to uncover patterns, trends, and opportunities that drive actionable insights. Develop, train, and validate machine learning, statistical, and predictive models that solve real business problems and deliver measurable impact. Design and run experiments (A/B tests, hypothesis tests … making. Collaborate with data engineers, analysts, product managers, and domain experts to translate business requirements into well‐defined modelling tasks. Build end‐to‐end ML pipelines—from feature engineering and preprocessing to deployment‐ready model outputs. Essential skills/knowledge/experience: Hands-on experience with GenAI, Gemini or Open ...

just building models, but delivering solutions that directly impact how the business operates. What You’ll Be Doing Designing and delivering AI/ML solutions used across the business Working directly with stakeholders to turn ideas into production-ready tools Owning the full lifecycle: concept → build → deploy → iterate Collaborating with … data and engineering teams to scale solutions effectively What They’re Looking For 2 years’ experience in AI/ML/Data Science/Engineering Degree in Computer Science, Data Science, Machine Learning or similar Strong communicator - comfortable working directly with business users Curious, proactive, and keen ...

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 ...

deliver scalable, secure, and cost optimized data platforms. * Design end to end data platforms leveraging Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and ML/AI workloads. * Define data ingestion, transformation, governance, and consumption frameworks aligned to enterprise standards. * Evaluate and recommend architectural improvements, new tools, and emerging technologies. * Develop ...

frameworks, and AI governance Working closely with senior stakeholders across product, data, and engineering What We’re Looking For 10+ years in AI/ML with strong architecture experience Proven experience with: Agentic AI/RAG systems LangChain/LangGraph or similar frameworks LLMOps and evaluation frameworks Strong AWS expertise ...

deliver scalable, secure, and cost optimized data platforms. * Design end to end data platforms leveraging Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and ML/AI workloads. * Define data ingestion, transformation, governance, and consumption frameworks aligned to enterprise standards. * Evaluate and recommend architectural improvements, new tools, and emerging technologies. * Develop ...

building and operating distributed systems in cloud-native environments Hands-on experience with Kubernetes , containers, and infrastructure tooling Experience with LLM applications, AI/ML platforms, or production AI systems Familiarity with agent frameworks , orchestration patterns, or multi-model workflows Experience with RAG , embeddings, vector databases, or retrieval systems Strong ...

Proven track record building data science platforms or research environments * Strong grounding in data engineering principles (pipelines, governance, data access) * Experience integrating AI/ML services, including Amazon Bedrock * Ability to design and expose APIs/services for data and notebook interoperability * Experience working in enterprise or regulated environments Nice ...

core robotics product. Support algorithms and systems for perception, planning, control and decision‐making. Work closely with embedded software, systems and AI/ML engineers to integrate components into the wider system. Contribute to testing, validation and optimisation to meet performance and reliability requirements. Help improve development processes, tooling ...

gets built, not just how What We're Looking For 6+ years of production software engineering experience, with a growing focus on AI and ML applications Strong command of TypeScript and Python; experience with microservices, async architecture, and AWS infrastructure Hands-on experience with LLMs, RAG workflows, or agentic systems ...

multi-region systems. Python Proficiency: Expert use of the Python stack (NumPy, SciPy, Pandas) for quantitative data analysis, backtesting, and model prototyping. Numerical Optimisation & ML: Proven experience applying numerical optimisation techniques (e.g., convex optimisation, gradient descent) and Machine Learning models to solve real-world pricing or trading problems. ...

hardware. What you will be doing: Building edge applications that process real-time vision data Developing communication layers for compute-constrained devices Deploying machine learning models into production Optimising performance (latency, memory, GPU pipelines) in C++ Enhancing observability and telemetry across the platform What We Are Looking … points if you have experience with: Edge/IoT computing Infrastructure management (e.g. Salt) Monitoring tools (e.g. Grafana) Video processing/streaming (e.g. GStreamer) ML model integration (e.g. PyTorch) Why Join? Competitive salary + regular reviews Equity in a fast-growing startup Real ownership and impact on product direction ...

environment Strong communication skills and the ability to work with both technical and non-technical colleagues Nice to Have Exposure to data science or machine learning Experience handling real-time or high-frequency data streams Background designing or maintaining data infrastructure Package Competitive salary depending on experience Performance ...

C# (You'll learn software engineering from the senior R&D engineer, who'll learn R&D from you!) Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations) Strong analytical thinking and structured evaluation skills Excellent written communication — clear, concise, decision-ready outputs Self-directed working style with ...

creating content Located in or travels to key financial hubs Areas of Sector Expertise AI, SaaS & Enterprise Software ( AI, AI infrastructure, AI/ML, model optimization, developer tools, enterprise software, SaaS, B2B SaaS, compliance SaaS, digital platforms, automation) Climate, CleanTech & Industrial Sustainability (Climate tech, cleantech, greentech, industrial decarbonization, renewable energy ...