526 to 550 of 902 Machine Learning Jobs in London

teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting The Role We're looking for a hands-on MI Manager to lead the development and delivery of More ❯

cloud. AWS has been continually expanding its services to support virtually any workload, and it now has more than 240 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, media, and application development, deployment, and management from 105 Availability Zones within 33 geographic regions, with More ❯

and Development to Mobilize the Enterprise. Proven experience in leading large-scale product organizations, ideally within AI, AdTech, or data-driven environments. Deep understanding of AI-powered predictive intelligence, machine learning frameworks, and scalable product architectures. Specific experience with Large Marketing Models (LMMs) and their application in optimizing audience performance is highly desirable. Strong knowledge of privacy-first More ❯

Development to Mobilize the Enterprise . Proven experience in leading large-scale product organizations, ideally within AI, AdTech, or data-driven environments. Deep understanding of AI-powered predictive intelligence, machine learning frameworks, and scalable product architectures. Specific experience with Large Marketing Models (LMMs) and their application in optimizing audience performance is highly desirable. Strong knowledge of privacy-first More ❯

Development to Mobilize the Enterprise . Proven experience in leading large-scale product organizations, ideally within AI, AdTech, or data-driven environments. Deep understanding of AI-powered predictive intelligence, machine learning frameworks, and scalable product architectures. Specific experience with Large Marketing Models (LMMs) and their application in optimizing audience performance is highly desirable. Strong knowledge of privacy-first More ❯

and Development to Mobilize the Enterprise. Proven experience in leading large-scale product organizations, ideally within AI, AdTech, or data-driven environments. Deep understanding of AI-powered predictive intelligence, machine learning frameworks, and scalable product architectures. Specific experience with Large Marketing Models (LMMs) and their application in optimizing audience performance is highly desirable. Strong knowledge of privacy-first More ❯

its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up More ❯

Azure, AWS, or GCP). Proficiency in BI tools (Power BI or Tableau). Strong commercial awareness and stakeholder management skills. Hands-on with, or exposure to, AI/ML techniques. This role cannot sponsor. Apply below More ❯

Azure, AWS, or GCP). Proficiency in BI tools (Power BI or Tableau). Strong commercial awareness and stakeholder management skills. Hands-on with, or exposure to, AI/ML techniques. This role cannot sponsor. Apply below More ❯

with architects, engineers, and business teams to embed solutions effectively. Produce clear reporting on outcomes and outline recommendations for scaling. Required Experience Advanced proficiency in Python for AI/ML development. Hands-on experience with LLMs , including prompt engineering and applied use cases. Track record of designing, deploying, and testing AI Agents in production environments. Strong understanding of cloud deployments More ❯

working in a fast-paced financial services/FinTech environment - Azure cloud exposure would be useful - Strong communication and stakeholder engagement skills - Any experience integrating automation/AI/ML solutions into existing platforms would be a real plus In return this Python Software Engineer will receive - Base salary of up to £65,000 - Long term, full remote working - Bonus More ❯

working in a fast-paced financial services/FinTech environment - Azure cloud exposure would be useful - Strong communication and stakeholder engagement skills - Any experience integrating automation/AI/ML solutions into existing platforms would be a real plus In return this Python Software Engineer will receive - Base salary of up to £65,000 - Long term, full remote working - Bonus More ❯

robust, scalable and secure platforms based on Linux and Kubernetes. This is a hands-on, growth-oriented role offering the exposure to new technologies and opportunities in AI/ML, networking and security. Duties and Responsibilities Design, implement, and maintain reliable and scalable Linux-based platforms. Design, implement, and maintain Kubernetes clusters on premises and public cloud. Automate operations using More ❯

React, Next.JS, Node.js, Python, and AWS. Strong understanding of software architecture, design patterns, and best practices. Experience with cloud infrastructure and services, particularly AWS. Experience working with AI/ML toolings Excellent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment. Strong communication and interpersonal skills, with the ability to articulate complex technical concepts More ❯

For more information With Ascendion, you: Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering. At Ascendion you have high chances of project extension or redeployment to other clients. Additionally, you can also share CV of anyone More ❯

For more information With Ascendion, you: Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering. At Ascendion you have high chances of project extension or redeployment to other clients. Additionally, you can also share CV of anyone More ❯

assessments . What We Offer Opportunity to work on cutting-edge IT/OT convergence projects with global client. Exposure to next-generation industrial technologies including Cloud, AI/ML, and Digital Twin. Collaborative, innovative environment with strong professional growth opportunities. *Rates depend on experience and client requirements More ❯

and development skills Has both technical breadth and depth and great client engagement skills Knowledge or appreciation of some the listed technologies; Foreman; Puppet; Satellite; Ansible; Nagios; AI/ML; Big Data; Elastic Search; IaaS; PaaS; HPC; DevOps; AWS; Azure; Kubernetes, Docker, OpenShift; Linux based applications What we will do for you: Competitive compensation Pension scheme DXC Select Our comprehensive More ❯

engineering team - Proficient programming skills in C or C++ - Demonstrated experience developing AI solutions for embedded systems PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - Experience with machine learning and AI model development - Experience with computer vision and deep learning frameworks - Understanding of cloud service architectures - Degree in Computer Science or related technical field - Ability More ❯

join one of our Insurance clients on a 6-month contract. Inside IR35 Hybrid- 1 day a week onsite Required: Experience working in Python for data manipulation, analysis, and machine learning. Knowledge of vector database/indexes Skills in data pipeline creation, ETL processes, and working with large datasets. Experience working with Microsoft Azure services, including Azure Machine Learning, Azure Search Index, Azure Data Factory and Azure Open AI Knowledge of the core concepts of Gen AI, RAG data pipelines experience Experience working with Lang chain Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy. More ❯

your manager and the technical leads on your team. You'll also regularly interact with world-famous researchers and other incredible staff, including alumni from Anthropic, DeepMind, OpenAI and ML professors from Oxford and Cambridge. In addition to Junior roles, Senior, Staff and Principal RE positions are available for candidates with the required seniority and experience. Person Specification You may … be a good fit if you have some of the following skills, experience and attitudes: Experience working on machine learning, AI, AI security, computer security, information security, or some other security discipline in industry, in academia, or independently. Experience working with a world-class research team comprised of both scientists and engineers (e.g. in a top-3 lab More ❯

graduates are equipped to deliver strategic insights and drive innovation and decision making across diverse sectors. The course combines advanced technical skills in data science, analytics, artificial intelligence and machine learning with a strong foundation in business strategy and governance. Managing this provision in a fast-paced university where creative worlds collide with business is a rare opportunity … knowledge, and a strong understanding of current industry practice; you will bring the dynamism to inspire our students; and you will bring the experience to facilitate a high-quality learning environment. The leader we are seeking will have the knowledge, industry contacts and vision to build the course and develop new opportunities in the discipline. Empower yourself to lead More ❯

deliver comprehensive course materials, that will equip students with an understandingof database systems, internet technologies, data, cyber security, networking, and business information systems. You will undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: All aspects of planning, delivering, and assessing … student work, ensuring that all learning outcomes are met Developing, updating, and improving course materials as appropriate Using a variety of learning and teaching methods/materials Actively engaging in staff development activities, peer observations, meetings and other administrative duties Understanding and keeping up to date with latest developments in your field and student support practices Working towards … or more of the following areas: Programming and software development Web development Database systems Cloud computing Networking Cybersecurity IoT and emerging technologies Business IT systems IT management AI and Machine Learning Operating Systems UI/UX You will have experience supervising student work and providing support and feedback You will have experience of accurate reporting and abilityto maintain More ❯

supportive and inclusive environment. Work-Life Balance: Enjoy a flexible work environment and competitive benefits that support your professional and personal goals. Continuous Development: Benefit from opportunities for ongoing learning and development, staying at the forefront of data management trends. Key Responsibilities: Data Governance and Ethics: Develop and implement comprehensive data governance frameworks that align with business objectives and … and identify areas for improvement. Develop tailored recommendations to enhance data quality, governance, and utilisation. Cutting-Edge Solutions: Implement innovative data management solutions leveraging advanced technologies such as AI, machine learning, and automation. Stay abreast of emerging trends and industry best practices to drive competitive advantage. Client Collaboration: Foster strong partnerships with clients to understand their unique challenges More ❯

products and/or features in business lending or working capital environments Technical Proficiency: Demonstrated experience working on complex technical products, such as platforms, distributed systems, data science/machine learning applications, computer vision, embedded systems, robotics, or similar technologies. Communication: Exceptional communication skills, both written and verbal, with the ability to clearly articulate complex technical concepts to … empathy for customers and an unwillingness to compromise on user-centred products. Track record of building successful products (ideally financial) using data, customer feedback, common sense, and/or machine learning. 5+ years of experience in tech industry as product owner/team lead building customer facing products. 5+ years of experience in creating products, ideally in high-growth More ❯