251 to 275 of 566 Machine Learning Jobs in Central London

Insights: Oversee the design, development, and deployment of sophisticated analytics models to uncover deep insights into pricing, customer behaviour, and business dynamics. Implement advanced machine learning and statistical techniques to predict trends and optimize operational efficiencies. Provide actionable insights and strategic recommendations to senior stakeholders. Collaboration & Influence: Collaborate … etc.), or equivalent experience. Extensive experience in advanced analytics, with a commercial or consulting background. Strong programming skills in Python and experience with developing ML/statistical models, particularly in pricing (e.g., price elasticity, revenue management, dynamic pricing). Experience with data visualization tools (e.g., Tableau, PowerBI) and data management More ❯

team that thrives on delivering impact and innovation at speed. The role We’re searching for Staff Compiler Engineers to architect and build the ML backend (compiler, run-time, and debugger) for our next-generation OPTUs. You will own integration with PyTorch, Tensorflow, JAX, and MXNet down to our low … techniques (layout, fusion, scheduling, tiling) to eliminate bottlenecks and maximize throughput. Mentor & Define Standards: Lead code reviews, coach peers, and define best practices in ML backend and performance engineering for your team. Guide Technology Direction: Stay ahead of GPU, AI accelerator, and optical computing trends; propose and prototype innovations. Skills … Experience 7+ years of experience in software engineering with a focus on C/C++ programming. Extensive experience in ML framework internals, compilers, low-level programming, and optimisation techniques. Extensive experience optimising Tensorflow, PyTorch or JAX deep learning models. Extensive experience with multiple toolchains like LLVM, OpenXLA/XLA More ❯

place. Establish governance & guardrails - craft policies, model cards, and internal frameworks that ensure compliance with NHS, MDR, ISO 13485, GDPR, and emerging AI/ML regulations. Build & mentor a world-class team - recruit and develop Researchers, ML Engineers, and Data Scientists who thrive on collaboration and experimentation. Collaborate cross-functionally … partner with customers, product, and regulatory teams to translate research into safe, user-centric features. Qualifications Degree or equivalent experience in Machine Learning, NLP, Computational Linguistics, or … a related field. Demonstrated success shipping LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP frameworks (PyTorch, TensorFlow, JAX) and orchestration stacks (LangChain, LlamaIndex, vector databases). Proven track record driving AI governance, model risk management, and compliance More ❯

problem-solving and communication skills Other Info: Hybrid role with office attendance in central London on Mondays and Thursdays Interest in data science and machine learning is a plus More ❯

problem-solving and communication skills Other Info: Hybrid role with office attendance in central London on Mondays and Thursdays Interest in data science and machine learning is a plus More ❯

experience in Data Science or Quantitative roles within finance. Proficiency in Python and SQL, with experience in libraries like pandas and numpy. Experience with machine learning frameworks and statistical tools. Familiarity with financial data sources, APIs, and data modeling. Ability to design and maintain scalable data pipelines. Excellent More ❯

exposure to Python, Databricks, and Azure as you grow into the role. There is also future potential to gain exposure in data science and machine learning projects as the team evolves. Day-to-Day Responsibilities: Build and maintain SQL queries and Looker dashboards for reporting and visualisation Develop More ❯

etc. DevOps experience ?" CI/CD, Test Automation, Containerization ?" tools and processes Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. In-depth, hands-on experience in developing web/mobile applications or platform with either Java/J2EE or .NET tech More ❯

etc. DevOps experience ?" CI/CD, Test Automation, Containerization ?" tools and processes Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. In-depth, hands-on experience in developing web/mobile applications or platform with either Java/J2EE or .NET tech More ❯

actions to improve customer experience and web performance. Create comprehensive reports on data availability and enhance the presentation of availability information to customers. Utilize machine learning libraries for attribution and propensity modelling. Mentor junior data engineers and contribute to the overall data strategy. Qualifications Extensive experience as a More ❯

experience and UX journey mapping methodologies. Previous experience applying AI within a B2B media environment would be highly prized. Therefore, knowledge of programming languages, machine learning, LLMs, and data science are all desirable. Experience Required At least five years of product marketing experience in a position involving direct More ❯

with data, analytics and technology to solve problems and drive business improvement Interest in infrastructure industry sectors Innovative thinking Understanding of Artificial Intelligence and Machine Learning techniques and their application to business problems Excellent facilitation and communication skills (both written and verbal) Ability to bring complex data, analytics More ❯

skills and a meticulous approach to problem-solving. Desirable Experience: Familiarity with Azure. Experience working in the autonomous vehicle sector. Exposure to AI/ML-based systems. Benefits: A hybrid working policy that balances collaboration in the office with flexibility at home. The opportunity to work on cutting-edge technology More ❯

familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) Strong data visualisation skills (Power BI, Tableau) and experience designing client-facing dashboards A passion for social impact and a drive to help us succeed More ❯

SaaS or large enterprise application. Certifications: AWS Certified Solutions Architect, Google Professional Cloud Architect, Azure Solutions Architect Expert. Experience in data architecture, AI/ML integration, and observability frameworks . More ❯

ideally with real-time or high-throughput processing components Solid understanding of modern software architecture, infrastructure, security, and devops practices Familiarity with AI/ML development lifecycles (MLOps) and data infrastructure Experience leveraging cloud technologies Strong execution mindset: able to break down complex problems and lead teams to delivery Experience More ❯

We're Hiring: Staff Engineer (ML-Native/Software Engineering) – Remote Hi everyone! 👋 I’m currently hiring for a Staff Engineer to join a global tech company that’s shaping the future of online safety and digital experiences. This role is ideal for someone who lives at the intersection of … strong software engineering , and wants to build real-world systems that make a difference. 🧠 What You'll Be Doing: Designing & building scalable systems—from ML pipelines to microservices and APIs Owning full lifecycle delivery: from research notebooks or rough concepts to clean, robust, and reliable production code Collaborating across teams … thrive on solving problems end-to-end, not just prototyping Deep backend/software engineering experience (we use modern cloud platforms, containers, APIs, etc.) ML-native thinking: you're excited by ML, know when (and when not) to apply it, and can scale it pragmatically Strong systems design, architecture, and More ❯

clients to understand business challenges and identify where AI and data-driven solutions can drive value Architect and implement scalable, production-ready solutions using machine learning , large language models , cognitive services , and modern data pipelines Collaborate with multidisciplinary teams across strategy, engineering, and design to build end-to … specialist technology consultancy environment Strong technical proficiency across Azure Synapse , Data Lake , Databricks , Power BI , Microsoft Fabric , and relevant AI services (e.g. Azure OpenAI, ML Studio) Deep understanding of modern data architectures, data governance, and operationalisation of AI models in cloud environments Experience leading client engagements, presenting to senior stakeholders … projects that make a real impact across industries Collaborate with some of the best minds in the AI and data space Access to continuous learning, Microsoft certifications, and cutting-edge tools Competitive salary, bonus scheme, and flexible working options A people-first culture that values innovation, growth, and balance More ❯

of technically challenging and high-value initiatives. Collaborative Environment: Work with cross-functional teams where your voice is heard and your ideas drive action. Learning & Development: Access to a £6,000 annual training budget, generous share options, and clear career progression. What You’ll Do Lead Teams: Manage multiple … and inclusive team culture. Manage Delivery: Collaborate with stakeholders to ensure alignment, timely delivery, and lasting value. Innovate: Apply advanced analytics, data engineering, and machine learning to address complex business challenges. What You’ll Bring 10+ years’ experience in software development, particularly with web applications. Proficiency with Python More ❯

ll play a key role in architecting modern data platforms using Snowflake , SQL , Python , and leading cloud technologies to support advanced analytics, reporting, and machine learning initiatives across the business. Key Responsibilities: Design and maintain end-to-end data architectures, data models, and pipelines in Snowflake and cloud … Lakehouse). Familiarity with BI/visualization tools (Tableau, Power BI, Looker). Knowledge of streaming data tools (Kafka, Kinesis). Background in supporting ML/AI pipelines or data science environments. More ❯

gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We’re seeking a highly skilled Senior Reinforcement Learning (RL) Control Engineer to develop locomotion and whole body control skills for our humanoid robots. You’ll be at the cutting edge of robotics … designing robust controllers for walking, balancing while manipulating, fall recovery, and other advanced mobility tasks. We’re seeking candidates with deep expertise in reinforcement learning and a strong track record of deploying control systems on physical robots. Our Mission: At Humanoid we strive to create the world’s leading … software and perception teams to integrate control strategies into the full-stack robotic system. Required Qualifications : Master’s or PhD in Robotics, Control Systems, Machine Learning, or a related field. At least 3+ years of experience in the design and implementation of control systems for legged robots, focusing More ❯

and Responsibilities - Gathering requirements from clients and leading on client engagements. - Designing, evaluating, and implementing on-premise, cloud-based and hybrid data science and machine learning techniques and algorithms. - Supporting client engagements, including pitches and presentations. Skills and Qualifications - Experience leading on client engagements across multiple projects. - Experience More ❯

forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization. Communicate findings and recommendations to stakeholders in a clear and concise More ❯

delivery. Required Skills and Experience: Strong Python skills, with proven experience in developing robust, scalable applications Strong FastAPI experience Strong background in AI or machine learning implementation – must have commercial experience in LLMs Ability to work in cross-functional teams within agile environments. Excellent problem-solving and communication More ❯

forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization. Communicate findings and recommendations to stakeholders in a clear and concise More ❯