576 to 600 of 668 Machine Learning Jobs in London

Board level Establish best-in-class governance, validation and model risk frameworks Experience: Proven experience leading and scaling Data Science teams Strong background in ML/AI, ideally including Generative AI applications Deep expertise in Python and modern ML frameworks Experience delivering models that directly impact underwriting, pricing, and profitability ...

Consumer Marketplace/App Department: Product & Insights A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide. What You'll Do Act as the lead data scientist for a core … interpret experiments across the product ecosystem Influence product strategy by connecting insights to business goals Improve datasets, dashboards, and analytical tooling Work closely with ML teams on discovery, ranking, and personalisation initiatives What We're Looking For Expert-level SQL + solid Python for product analytics Hands-on A/ ...

About Us At Neuraco, we're building the world's first robot learning cloud service ( https://www.neuracore.com/). Our platform eliminates the complexity of traditional robotics development by providing a complete end-to-end solution for data collection, model training, and deployment that works across different … tasks • Strong understanding of networking, security, and Linux systems administration • Excellent communication skills and a collaborative, team-first mindset • (Nice to Have) Experience supporting ML/AI infrastructure or GPU-based workloads • (Nice to Have) Familiarity with robotics or edge computing deployment pipelines ...

Essential skills: 15+ years overall in software/solution architecture with 7 + years in cloud (Azure) and 5 + years in AI/ML or Azure AI solutioning. Proven experience leading production-grade solutions using Azure OpenAI , Azure AI Foundry , Azure AI Document Intelligence, Azure Data Factory, Azure ML ...

optimisation, and observability Architect and implement multi-cloud, data lake, and data warehouse platforms Design scalable data pipelines, integration workflows, and analytics solutions Apply ML/AI frameworks, semantic models, and BI/visualisation tools to solve client challenges Operate as a strategic and technical leader across client engagements, guiding … Azure, GCP) and data technologies such as Snowflake, Databricks, or equivalent Experience with programming/scripting, data integration, ETL pipelines, and orchestration Knowledge of ML/AI frameworks, BI/analytics platforms, and semantic data modelling Strong client-facing skills with the ability to translate business needs into technical solutions ...

project delivery for some of the leading FTSE-100 companies, shaping how they apply data, analytics, and innovation across their business lifecycle Continuous learning and growth through Accenture’s world-class training programs, mentorship, and access to cutting-edge tools and knowledge A collaborative, purpose-driven culture that encourages … Business Data Cloud (BDC) with SAP S/4HANA and non-SAP platforms, enabling seamless data sharing and collaboration for AI/ML use cases across the enterprise. Collaborate with cross-functional teams to identify, prioritize, and deliver AI-powered use cases leveraging SAP Business AI, focusing on domains like ...

architecture boards, and executive communications. Required Qualifications Bachelors or Masters degree in Computer Science, Data Science, or related field. Deep expertise in AI/ML architectures, including LLMs, data platforms, knowledge graphs, and MLOps concepts. Strong understanding of hybrid/multi-cloud architectures, APIs, microservices, and event-driven systems. Excellent … develop enterprise technology strategy and governance frameworks. Preferred Experience Strong experience in a enterprise, solution, or data architecture role, including large-scale AI/ML implementations. Experience evaluating and integrating AI platforms and emerging technologies (e.g. generative AI). Familiarity with enterprise architecture frameworks (e.g. TOGAF) and cloud architecture certifications. ...

data pipelines -designing, building, and maintaining ETL/ELT workflows that ensure high-quality, reliable data across the platform. Deploy and support production ML systems - from forecasting models to LLM-driven and agentic workflows -with proper monitoring, versioning, and CI/CD. Act as a go-to technical partner … TensorFlow. Data Engineering Fundamentals: Strong understanding of data architecture, data modelling, and scalable data solutions. You have hands-on experience deploying and running ML systems in production, including model serving and monitoring. Cloud Platforms: Familiarity with AWS or Azure, including services like Apache Airflow, Terraform, or SageMaker. Data Quality Management ...

technologies such as MongoDB , Redis , Elasticsearch and related tools Define best practices across caching , indexing , search optimisation , and distributed data patterns Lead AI/ML integration into enterprise systems, including model deployment, inference optimisation and real-time analytics Collaborate with data science, engineering, infrastructure and business teams to deliver scalable … MongoDB (schema design, scaling, performance tuning) Redis (high-speed caching, distributed access patterns) Elasticsearch (search architecture and indexing strategies) Strong experience embedding AI/ML into enterprise platforms Advanced understanding of distributed systems, micro-services, and data modelling Experience operating within regulated financial services environments Cloud and containerisation expertise ...

Conduct QA on creatives, ad tags, and tracking before launch. Analyse delivery and performance, providing actionable insights to improve results. Set up and manage machine learning-driven targeting campaigns for clients. Product Delivery & Coordination Coordinate GMS campaign setup, including articles, dashboards, microsites, and client ABM target lists. Maintain ...

looking for a Senior Security Consultant with deep expertise in cybersecurity and practical experience in securing AI/ML systems. In this role, you will help clients navigate the rapidly evolving threat landscape of artificial intelligence. You will work across strategy, architecture, and hands-on technical analysis to design resilient … systems for high-impact environments. Key Responsibilities AI/ML Security Oversight: Evaluate and secure the entire AI lifecycle, including model governance, data pipelines, and deployment patterns. Threat Modeling: Conduct advanced security assessments and risk analysis across cloud, on-premise, and hybrid environments. Risk Mitigation: Advise clients on emerging ...

small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible … system for millions of users. Build convenient CI/CD processes and testing pipelines to support quick iterative development and system stability. Work on ML model development with our team to build robust data pipelines and deploy ML models. Analyse large corpora of data and build real-time recommendation systems. ...

will join a collaborative cross functional unit working across engineering, product and data. The Role Develop and deploy production grade Python and deep learning models. Build NLP and LLM features including embeddings, intent detection and conversational AI. Contribute to end to end pipelines using cloud services, microservices and containerisation. … performance. Present work clearly in team sessions and contribute to technical decision making. Your Skills and Experience Strong Python skills and experience deploying ML models into production. Hands on experience with LLMs, NLP, embeddings and conversational AI. Practical experience with deep learning frameworks and cloud environments. Exposure to microservices ...

want to build production-grade ML systems powering the clean energy transition? Have you deployed and scaled ML models on AWS in real-world environments? Are you ready to take ownership of MLOps in a fast-growing cleantech scale-up? A rapidly scaling London-based energy tech company is building … tech, deep data capability and strong industry partnerships to accelerate the shift to sustainable transport. The Data team is now expanding to support growing ML workloads. They’re hiring an MLOps Engineer to own and scale ML infrastructure across computer vision and broader DS/ML use cases. This role ...

including Financial Services, Resources, Products, Communications and Health & Public Services. In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying ...

performance. The team has delivered pricing optimisation systems, cost modelling platforms, and store analytics tools for global retailers - blending commercial strategy with hands-on ML and engineering. You’ll lead technical delivery of solutions that touch everything from supplier negotiations to customer experience design. Expect to work in cross-functional … projects from idea to value. They’re hiring at Lead (3–5 years) and Principal (5–10+ years) levels. Key Responsibilities • Build and deploy ML tools for pricing, operations, and layout optimisation • Translate commercial priorities into robust, data-driven solutions • Partner with client stakeholders to iterate and embed ML ...

Data Scientist – MRO AI Solutions (Embedded in Operations) Role Purpose We are seeking a highly skilled Data Scientist to develop advanced AI and ML models that unlock operational value within a major corporation's maintenance, repair, and operations (MRO) function. The role requires the ability to translate complex data insights … performance metrics. Develop scalable and reusable AI solutions that can be generalized for other operational units. Required Skills & Experience Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong statistical, analytical, and problem-solving skills. Experience with a wide range of Data Science techniques (ML, optimization, simulation, GenAI, etc.). ...

support strategic decision-making and ensure the consistent delivery of high-quality, high-impact AI solutions. Responsibilities Lead the design and delivery of AI, ML and Generative AI applications across major digital transformation initiatives. Translate business and technical objectives into engineering roadmaps and implementation strategies. Develop scalable AI systems using … model performance. Collaborate with cross-functional teams to ensure seamless integration of AI capabilities into existing platforms. Skills and Experience Proven experience developing AI, ML or Generative AI applications within complex environments. Strong expertise in Python, LLMs, prompt engineering and model evaluation. Experience with AWS cloud services - particularly Bedrock, Lambda ...

data, AI, cloud, and digital solutions. They are committed to providing a platform for talented technologists to accelerate their careers through diverse projects, continuous learning, and robust support from senior consultants. If you are driven by curiosity and a desire to make a real impact, this is an excellent … building end-to-end data pipelines for ingestion, transformation, and loading, setting up efficient data lakes and warehouses, and collaborating closely with analysts, ML engineers, and platform teams. The ideal candidate enjoys solving complex problems, thinking critically, and is eager to experiment with the latest tools and ideas. The role ...

protection requirements Great to have: Certifications such as Security+, CEH, GIAC Experience with cloud security (Azure/AWS/GCP) Exposure to AI/ML tools in security contexts Experience with MDM platforms and mobile security Skills & Attributes Strong analytical and problem-solving skills Clear and confident communication skills Ability … work independently and collaborate effectively Detail-focused, adaptable, and proactive Motivated by learning and professional development Project Management experience A full job spec is available on request, alongside a discussion on salary and the wonderful benefits this company has to offer. ...

looking to build out their current team with multiple hires. They offer a lot of autonomy and excellent progression opportunities with dedicated learning and development time within the role. An ideal candidate will understand real problems, get hands-on where needed, and help customers figure out what’s worth … workshops, running demos, or translating between technical and non-technical stakeholders. Experience Required: A real understanding of AI systems (LLMs and traditional ML), not just surface-level usage The ability to get technical when needed and explain concepts clearly Experience working directly with clients and knowing when to challenge assumptions ...

structured data representations (tables, graphs, schemas) Build training, simulation, and evaluation environments for long-horizon, multi-step agent behavior Develop self-supervised and reinforcement learning objectives for improving agent reliability and correctness Integrate foundation model embeddings and symbolic components into agent workflows Own agent systems end-to-end, from … engineering problems MSc/PhD in Mathematics, Physics, Computer Science, or a related field Strong hands-on experience building LLM-based systems with modern ML tooling (PyTorch, Ray, JAX) Experience designing agentic systems (planning, memory, tool use, multi-step reasoning) Strong understanding of transformers and foundation model behavior Comfortable owning ...

Python, PyTorch, and LLMs (OpenAI, Anthropic, etc.), integrated into real user workflows Familiarity with MLOps tools and CI/CD for both traditional and ML-driven systems Strong backend and API development skills - comfortable owning systems end-to-end, from data pipelines to user-facing interfaces Passion for building clean … challenging assumptions, and shaping product direction in ambiguous environments Bonus Points Prior startup or 0→1 product experience Contributions to open-source AI/ML projects Experience with aviation, aerospace, or other safety-critical domains You Should Apply If... You love building real products that users depend on - not just ...

doing Designing and building backend services using Java and/or Python Delivering cloud-native applications in AWS environments Working with AI/ML solutions, including LLM inference and RAG-based semantic search Owning the full SDLC : system design, development, testing, deployment, and operational stability What we're looking … Java and/or Python Hands-on experience delivering systems on AWS Solid understanding of cloud-native and distributed architectures Exposure to AI/ML platforms, i deally LLM-based solutions (e.g. RAG, OpenAI, Claude) Experience working in regulated or enterprise environments Interested? Apply now for immediate consideration. ...

Data Engineering Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Bricks, ML, Azure, Mainly Remote Data Engineering/Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe … guide product improvements and communicate results to stakeholders Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures. Communication skills:Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership Collaboration ...