226 to 250 of 1,811 Machine Learning Jobs in London

DevOps · Technical Degree (Computer Science, Maths, Engineering or equivalent) and/or relevant tech experience. · Fluent written and verbal communication skills in English · A passion for technology and for learning PREFERRED QUALIFICATIONS · Experience designing, building, refactoring or operating large scale and impactful IT systems - either on premises or in the cloud · Working knowledge of cloud native architectures · Knowledge of …/or scripting, Infrastructure as Code etc. · In-depth working knowledge in a technology domain such as distributed internet-scale web or mobile applications, DevOps, Serverless, Big Data, Analytics, Machine Learning, enterprise workloads (SAP, VMware, Windows etc.), high-performance databases (SQL and/or NoSQL), complex networking implementations, highly secured workloads etc. · Experience working in a customer-facing More ❯

on delivering exceptional and engaging digital experiences. JOB PURPOSE We are looking for an AI Consultant who not only knows exactly how to create impact with algorithms, big data, machine learning, and generative AI, but can also translate our tech offerings to our current and future clients as well as our wider digital marketing teams internally. As an … parents. Social and Cultural Events, plenty of opportunities to connect with colleagues through organised activities and celebrations. Inspirational Talks, bringing the outside in with regular guest speakers and events. Learning and Development, supporting your growth with continuous opportunities to learn and advance. Buddy Programme: You will be paired with a 'Buddy' to help you through your first weeks at More ❯

using AI-powered tools and frameworks Develop POCs that demonstrate how AI can streamline content creation, campaign management, reporting, and media production workflows. Build custom AI solutions using AI & ML frameworks, and cloud technologies Implement workflow automation using low-code/no-code platforms when applicable Create API integrations between marketing tools, CRM systems, and content management platforms using MCP … automation platforms, and Marketing Tech developments WHAT WE ARE LOOKING FOR Degree in Computer Science, Data Science, Engineering, or related technical field 2+ years of experience in AI/ML development with a focus on practical applications Strong proficiency in Python and relevant AI libraries (TensorFlow, PyTorch, Hugging Face) Hands-on experience with workflow automation platforms like N8N, AirTable, and … parents. Social and Cultural Events, plenty of opportunities to connect with colleagues through organised activities and celebrations. Inspirational Talks, bringing the outside in with regular guest speakers and events. Learning and Development, supporting your growth with continuous opportunities to learn and advance. Buddy Programme: You will be paired with a 'Buddy' to help you through your first weeks' at More ❯

and transparent. Our Neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language – our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. To meet the demands of our increasing commercial traction, we are looking for a smart, dedicated senior software engineer to join our world More ❯

in executing their Big Data strategies by designing and building operational data platforms: ETL pipelines, data anonymization pipelines, data lakes, near real-time streaming data hubs, web services, and machine learning models for training and scoring. Collaborate closely with partners, strategy consultants, and data scientists in an agile environment that values personal initiative. Share knowledge by providing technical More ❯

system support, monitoring & troubleshooting. Experience of working in environments with high information security standards to meet needs of ISO27001, SOC2 and GDPR etc Experience with AI and/or Machine Learning Project planning and management experience. Experience with finance systems i.e. Sage, Qube, IRIS or similar. Experience with CRMs such as HubSpot or similar. More ❯

you will work closely with our business units. Our technology teams offer an environment with exciting challenges - supporting and developing legacy systems or introducing modern technologies such as AI, machine learning, and highly automated trading applications. Our Technology department, comprising around 300 employees, works largely in an agile manner using a Scrumban approach. It covers areas such as More ❯

communication and collaboration skills. Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect Expert. Experience with big data technologies like Hadoop, Spark, or Databricks. Familiarity with machine learning and AI concepts. If you encounter any suspicious mail, advertisements, or persons who offer jobs at Wipro, please email us at helpdesk.recruitment@wipro.com . Do not email More ❯

Kafka or similar. Familiarity with containerization and orchestration (Docker and ECS) for data workflows. Exposure to BI tools such as Tableau or Power BI for data visualization. Understanding of machine learning pipelines and how they integrate with data engineering processes. Certification in cloud data engineering (e.g., AWS Certified Data Analytics) What We'll Offer You In Return: The More ❯

system support, monitoring & troubleshooting. Experience of working in environments with high information security standards to meet needs of ISO27001, SOC2 and GDPR etc Experience with AI and/or Machine Learning Project planning and management experience. Experience with finance systems i.e. Sage, Qube, IRIS or similar. Experience with CRMs such as HubSpot or similar. Adecco acts as an More ❯

system support, monitoring & troubleshooting. Experience of working in environments with high information security standards to meet needs of ISO27001, SOC2 and GDPR etc Experience with AI and/or Machine Learning Project planning and management experience. Experience with finance systems i.e. Sage, Qube, IRIS or similar. Experience with CRMs such as HubSpot or similar. Adecco acts as an More ❯

maintained in production—reliably and responsibly. This is a high-impact, hands-on leadership role. You’ll work across product, data science, and engineering to lead delivery of complex ML systems. You’ll also define the core MLOps capabilities for the business and establish the standards and patterns that accelerate safe, scalable AI deployment across teams. Everyone is welcome! We … don’t expect you to tick all the boxes, but would love to hear what makes you great for this role. Some of the great things you’ll do: ML Systems Design & Delivery Lead the architecture and delivery of ML systems that power real-time and batch predictions at scale Design production pipelines for training, deployment, and monitoring using modern … MLOps tooling Take ownership of technical quality, resilience, and observability of critical ML services Build reusable tools and frameworks to enable fast, safe experimentation and deployment Platform, Standards & MLOps Foundations Define and build the core MLOps capabilities for the organisation, including training pipelines, deployment frameworks, and observability tooling Establish standardised patterns and best practices to accelerate model development, testing, and More ❯

programming skills in C++, Java, or Python, with experience in low-latency environments In-depth understanding of market microstructure, order types, and exchange connectivity Proficiency in statistical analysis and machine learning techniques Experience with high-frequency trading (HFT) and algorithmic execution strategies Excellent problem-solving skills and ability to work under pressure in a fast-paced environment Preferred More ❯

client engagements Eligibility to work in the UK Desirable Skills and Experience: Experience with specific OSS/BSS vendor platforms and solutions Knowledge of data analytics and AI/ML applications within the OSS and network domain Experience with agile methodologies and DevOps practices Relevant industry certifications (e.g., ITIL, TOGAF) Prior experience in a consulting role within a major consulting … firm Personal Attributes: Strong work ethic and a results-oriented approach Intellectual curiosity and a passion for continuous learning Adaptability and resilience in a dynamic consulting environment Professionalism and a client-centric mindset If you are a highly motivated and experienced OSS and Network Domain SME looking for an exciting opportunity to make a significant impact within a leading More ❯

footballers' legs. Ki's mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days.Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing More ❯

be a good fit if you have: 7+ years of experience in partnerships, business development, sales or product management roles Deep understanding of the startup ecosystem and AI/ML technology landscape Proven ability to develop and execute complex, cross-functional go-to-market programs Experience enabling sales teams and delivering training on technical products Exceptional communication and relationship-building … many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation More ❯

effectively compete in their chosen markets. By joining us, you will be diving into a world of data-driven exploration and innovation, revolutionising financial insights through cutting-edge technologies, machine learning and predictive analytics. Your contributions will shape the future of cross-border finance, helping clients such as HSBC, Lloyds, Mastercard, PayPal, Visa and The World Bank to More ❯

Lead/Senior Machine Learning Engineer £110,000-£120,000 Bonus up to 10% Shares so as they continue to grow you benefit to Hybrid working - one day a week London (with door always open policy) Are you a innovative, decisive Machine Learning Engineer looking for your next challenge? This is your chance to join a … times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with the Data Scientists, Actuaries, and Product team to deliver scalable, production-grade ML systems. This is a super exciting time to join the business who after a number of years of great success have hit profitability and now want to grow through strategic … and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor's or Master's degree in Statistics, Data Science, Computer Science or related field Experience: Proven experience in ML model lifecycle management Core Competencies: Model lifecycle: You've got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical Methodology: You have worked More ❯

maintain conceptual integrity of our product design as it rapidly evolves? How does a data platform support operational objectives and provide analytical insight to business users, whilst also supporting ML and Generative AI supported workloads at scale? How can we quickly deliver the robust legacy system interfaces needed by our Agile development teams? Which organisational design supports project delivery most … Youre willing, and capable of being hands-on when you need to be You balance innovation and intellectual rigour with realism You love technology and want to keep on learning, with a genuine interest in understanding the challenges your users face and how you can help them Some of the Perks Flexible benefits allowance you choose how to spend More ❯

we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative AI Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at … Scale. As an ML Engineer, you’ll work with clients to train ML models to satisfy their business needs. Your work will range from training next-generation AI cybersecurity firewall LLMs to training foundation genomic models making predictions about life-saving drug proteins. Having a deep curiosity about the hardest questions about LLMs will also motivate various research opportunities on … how to apply ML to the forefront of enterprise data. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers. Work with product and research teams More ❯

Machine Learning solutions for autonomous driving. Our team tackles groundbreaking challenges in designing state-of-the-art neural networks, pioneering innovative end-to-end architectures, and advancing ML techniques in perception, prediction, and motion planning. We're passionate about pushing the boundaries of autonomous systems through deep learning and optimization, particularly in complex 3D geometric computer vision … cross-org collaborative project is synergistic with TRI’s robotics division’s efforts in Diffusion Policy and Large Behavior Models (LBM). Responsibilities Support the design and development of ML models or model components for end-to-end autonomous driving: ranging from initial data strategy, design, development, experimentation, evaluation, and deployment; Able to navigate ambiguities and address uncertainties arising from … time zones to define interfaces and requirements for an end-to-end stack; Experience MS, or higher degree, in a related field, or equivalent industry experience Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred) Experience with data sampling and data curation pipelines for autonomous driving datasets Experience in state-of-the-art architectures for end More ❯

partner for your product owners and Chapter lead, your role involves shaping the technical roadmap and implementing best practices within your product team ("Pod") and the global Chapter of ML Engineers. You will collaborate with global Chapter leads, subject matter experts, and other ML Engineers to deliver impactful AI solutions. WHAT YOU WILL DO Technological Leadership: Define architectural patterns for … instruction tuning, RLHF, or LoRA fine-tuning. Embed domain-specific ontologies into NLP workflows. Evaluation and Optimization: Analyze models for quality, latency, sustainability, and cost; implement improvements. Own the ML-Ops for your Pod. Develop experiments for model evaluation and continuous improvement. Best Practices: Establish scalable coding standards for maintainable, production-ready systems. Team Support: Mentor ML engineers to foster … tuning and optimizing LLMs for quality, latency, sustainability, and cost. Programming and NLP tools: Advanced Python, frameworks like PyTorch, TensorFlow, Hugging Face, LangChain. MLOps and deployment: Docker, Kubernetes, Azure ML Studio, MLFlow. Cloud and AI infrastructure: Experience with Azure Cloud for scalable deployment. Databases and data platforms: SQL, NoSQL, Snowflake, Databricks. OUR VALUES: CURIOSITY, OPTIMISM, AMBITION, EMPATHY We are a More ❯

Senior ML Engineer, AWS Generative AI Innovation Center Job ID: 2817053 | AWS EMEA SARL (UK Branch) The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions … that harness the power of generative AI. As an ML Engineer, you'll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. We’re looking for Engineers and Architects capable of using generative … AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities Collaborate with ML scientists and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges. Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly More ❯

maintained in production—reliably and responsibly. This is a high-impact, hands-on leadership role. You’ll work across product, data science, and engineering to lead delivery of complex ML systems. You’ll also define the core MLOps capabilities for the business and establish the standards and patterns that accelerate safe, scalable AI deployment across teams. Everyone is welcome! We … don’t expect you to tick all the boxes, but would love to hear what makes you great for this role. Some of the great things you’ll do: ML Systems Design & Delivery • Lead the architecture and delivery of ML systems that power real-time and batch predictions at scale • Design production pipelines for training, deployment, and monitoring using modern … MLOps tooling • Take ownership of technical quality, resilience, and observability of critical ML services • Build reusable tools and frameworks to enable fast, safe experimentation and deployment Platform, Standards & MLOps Foundations • Define and build the core MLOps capabilities for the organisation, including training pipelines, deployment frameworks, and observability tooling • Establish standardised patterns and best practices to accelerate model development, testing, and More ❯

projects and technologies that get deployed on devices and in the cloud. As a Machine Learning Engineer in GenAIIC, you are proficient in developing and deploying advanced ML models and pipelines to solve diverse customer problems using Gen AI. You will be working alongside scientists with terabytes of text, images, and other types of data and develop Gen … to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Key job responsibilities Our ML Engineers Collaborate Across Diverse Teams, Projects, And Environments To Have a Firsthand Impact On Our Global Customer Base. You’ll Bring a Passion For The Intersection Of Software Development With … And Machine Learning. You’ll Also Solve complex technical problems, often ones not solved before, at every layer of the stack. Design, implement, test, deploy and maintain innovative ML solutions to transform service performance, durability, cost, and security. Build high-quality, highly available, always-on products. Research implementations that deliver the best possible experiences for customers. A day in More ❯