1,351 to 1,375 of 2,292 Machine Learning Jobs in London

solution architects, cybersecurity experts, and IT operations teams. · Manage multi-million-dollar global IT budgets and transformation programs. · Spearhead digital innovation, introducing AI/ML, blockchain, IoT, and edge computing where applicable. · Partner with business leaders to shape customer-centric technology strategies that accelerate growth. Requirements Qualifications · Bachelor’s or More ❯

solution architects, cybersecurity experts, and IT operations teams. · Manage multi-million-dollar global IT budgets and transformation programs. · Spearhead digital innovation, introducing AI/ML, blockchain, IoT, and edge computing where applicable. · Partner with business leaders to shape customer-centric technology strategies that accelerate growth. Requirements Qualifications · Bachelor’s or More ❯

landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages pervasive data quality and advanced AI/ML capabilities that lead to better decisions, faster. We excel in integration and governance solutions that work with diverse data sources, and our real-time analytics More ❯

skills in Python/R and strong familiarity with numeric libraries and methods. Strong expertise in time series analysis (financial econometrics and/or ML). Strong knowledge of options strategies and pricing models and risk metrics. Good communicator and synthesiser of complex material (written and spoken). Core data More ❯

industries, including fintech, e-commerce, logistics, insurance, biotech, cybersecurity, and more. Our world-class team of over 600 experts develop web, mobile, AI/ML, and enterprise solutions for world-renowned companies, including Fortune 500 firms and emerging startups. We have 3 development centers in Europe, a representative office in More ❯

ex CTO, ex CDO, full stack developers, ex Cyber warfare commanders, Digital Product Owners from the world's leading brands, and innovative AI/ML researchers. What You'll Bring We're looking for exceptional talent to join the team. You will typically have: 5 to 10 years' experience of More ❯

Copilot. Technical Strategy and Implementation: Oversee the development and deployment of high-throughput, low-latency applications in a Cloud-Native world. Leverage AI/ML technologies to enhance productivity across the SDLC phases and develop innovative business solutions and products. Project and Stakeholder Management: Manage cross-functional priorities and maintain More ❯

deployment and continuous evaluation. Our AI initiatives span categorization, summarization, data analysis, automated content generation, and rich media analysis - leveraging both existing AI/ML tools (LLMs, RAG, embeddings, agentic workflows) and custom solutions. You'll collaborate across teams to build practical, scalable AI solutions - where precision matters. With a More ❯

awareness of cloud services. Valued Extras: Experience with R&D, IP, or life sciences data (e.g., patents, journals, bioinformatics). Familiarity with AI/ML applications or data transformation pipelines. Basic understanding of IT security frameworks and cloud compliance (e.g., SOC 2, ISO 27001). Examples of past technical prototypes More ❯

opportunities and threats posed by innovation and industry convergence Knowledge of, and passion for, key technology advancements, trends and disciplines including cloud, AI/ML, IoT, blockchain, AR/VR and sustainable IT, based on previous experience and interest in the latest innovations. Relevant experience with large scale digital and More ❯

of emerging technology, and how these can support the organisational strategy. The postholder has responsibility for creating new applications and enriching existing applications with ML or other AI capabilities, such as NLP, image recognition or optimization. They should be able to embed, integrate and deploy AI models that best support More ❯

on the backend; you'll be working within a microservices environment with CI/CD and collaborating with backend software engineers on AI and Machine Learning elements of the product. There's continual learning and self-development opportunities within a collaborative team environment. Location/WFH: You … lifecycle through to testing You have a good appreciation of UI/UX You're collaborative, motivated and keen to progress your career, continually learning with a results driven mindset What's in it for you: As a Software Engineer/Full Stack Developer you will earn a competitive More ❯

on the backend; you'll be working within a microservices environment with CI/CD and collaborating with backend software engineers on AI and Machine Learning elements of the product. There's continual learning and self-development opportunities within a collaborative team environment. Location/WFH: You … lifecycle through to testing You have a good appreciation of UI/UX You're collaborative, motivated and keen to progress your career, continually learning with a results driven mindset What's in it for you: As a Software Engineer/Full Stack Developer you will earn a competitive More ❯

and the unique challenges posed by AI technologies. What you'll be doing: AI Security Architecture: Design and implement secure architectures for AI/ML models, data pipelines, and related infrastructure. Develop security policies and procedures specific to AI systems. Evaluate and select security tools and technologies for AI environments. … standards (e.g., NIST, ISO 27001). Proven experience as a Security Architect, with a strong focus on AI security. Deep understanding of AI/ML concepts, including model development, data pipelines, and deployment. Strong understanding of ethical AI principles and practices. Experience with AI security tools and technologies. Knowledge of … adversarial machine learning techniques. Familiarity with AI governance frameworks. Experience with data security and privacy regulations (e.g., GDPR, CCPA). Experience with DevSecOps practices. Strong analytical and problem-solving skills, with the ability to assess complex situations and develop effective solutions. Excellent communication, collaboration, problem-solving and presentation More ❯

and will require someone who can be in London 3 days per week. We are looking for the following: Proficient in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations. Experienced in developing and implementing AI solutions, including classification, clustering, anomaly … to model building, evaluation, and visualization. Proficient in Python programming and SQL, with experience in production-level code and data analysis libraries. Familiar with ML Ops, model development workflows, and feature engineering techniques. Capable of manipulating data and developing models accessible for business use, with experience in Azure AI Search. … Adept with software development methodologies, code versioning (e.g., GitLab), and project tracking tools (e.g., JIRA). Enthusiastic about learning new technologies and adept at problem-solving and delivering production-ready solutions. Additional knowledge in Cloud Computing, Big Data tools, visualization tools, and containerization tools is beneficial. If this is More ❯

and will require someone who can be in London 3 days per week. We are looking for the following: Proficient in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations. Experienced in developing and implementing AI solutions, including classification, clustering, anomaly … to model building, evaluation, and visualization. Proficient in Python programming and SQL, with experience in production-level code and data analysis libraries. Familiar with ML Ops, model development workflows, and feature engineering techniques. Capable of manipulating data and developing models accessible for business use, with experience in Azure AI Search. … Adept with software development methodologies, code versioning (e.g., GitLab), and project tracking tools (e.g., JIRA). Enthusiastic about learning new technologies and adept at problem-solving and delivering production-ready solutions. Additional knowledge in Cloud Computing, Big Data tools, visualization tools, and containerization tools is beneficial. If this is More ❯

growth. Develop strategies leveraging data science for decision-making in investment, trading, and other quantitative domains, aligning with clients' business goals. Utilize advanced analytics, machine learning, and predictive modeling to interpret market signals and forecast trends, providing clients with a competitive edge. Strengthen client relationships to sustain Accenture … s profile as a trusted advisor and partner. Support and mentor junior team members, fostering continuous learning and innovation. Travel: As needed, up to 100% Qualifications: You have had exposure to one or more of the following industries: energy, chemicals, soft commodities, agriculture, metals, mining, utilities, transportation, consumer goods … parts and constructing clear reasoning and analyses, using quantitative analysis methods, statistics & data-driven thinking. You have energy and drive, a passion for continuous learning and mastering new topics, and an understanding of how forces like digital and the energy transition will shape the future business landscape. You are More ❯

including front ends and decision-support toolsets, inclusive of native Palantir tooling and integrated front ends. Collaborate with team members to implement AI and machine learning models against user problems. Engage in continuous learning and development This is a permanent position requiring onsite working in London with More ❯

household name in the UK insurance space on the search for a Lead Data Scientist. They are looking for someone to help spearhead their Machine Learning Initiatives. In this role, you will have the … opportunity to be either a technical lead, or more of a people manager. RESPONSIBILITIES: Lead the end-to-end design, development, and implementation of ML/AI models Develop and deploy Large Language Models (LLMs) and/or internal chatbot systems. Collaborate with cross-functional teams to identify opportunities for More ❯

household name in the UK insurance space on the search for a Lead Data Scientist. They are looking for someone to help spearhead their Machine Learning Initiatives. In this role, you will have the … opportunity to be either a technical lead, or more of a people manager. RESPONSIBILITIES: Lead the end-to-end design, development, and implementation of ML/AI models Develop and deploy Large Language Models (LLMs) and/or internal chatbot systems. Collaborate with cross-functional teams to identify opportunities for More ❯

technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply. We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required. Below is a detailed breakdown of … all the technologies we use: Backend: Python Frontend: Typescript and React Kubernetes for deployment GCP for underlying infrastructure Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures, and skill levels to apply. It is okay to not meet all requirements listed as we are looking … different industry verticals such as healthcare, surveillance, retail, agriculture, and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields. More ❯

re dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability. StackAdapt is … a Remote First company, and we are open to candidates located anywhere in the UK for this position. What you'll be doing: Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the-art methods, to development using … a deep understanding of classic methods. Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms. Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights. What you'll bring to the table: Have a Masters degree or PhD More ❯

opportunities BASIC QUALIFICATIONS - 10+ years of technology related sales, business development or equivalent experience - 5+ years of sales management experience PREFERRED QUALIFICATIONS - Experience with machine learning, AI, or GenAI/LLM in a business development/partner capacity. - Deep understanding of GenAI … market landscape, ecosystem, and ability to articulate technology and value proposition - Experience driving partnerships and developing joint go-to-market strategies with AI/ML model providers or ISV/SaaS companies Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our More ❯

of Thomson Reuters Legal and Compliance products which includes the market-leading HighQ, Legal Tracker, Thought Trace, Practical Law, Westlaw, Regulatory Intelligence, and Compliance Learning services. We are looking for an individual that can demonstrate self-sufficient success and the ability to find, manage and close high-value deals. … selling and strategic account planning. Experience with CRM systems and sales analytics tools. Preferred Qualifications: MBA or relevant advanced degree. Experience in AI or machine learning industry. Proven success in managing commercial-level accounts. Track record of developing and nurturing partner relationships. Key Success Measures: Sales performance (quota … way forward with the latest AI solutions and address real-world challenges in legal, tax, compliance, and news. Backed by our commitment to continuous learning and market-leading benefits, you'll be prepared to grow, lead, and thrive in an AI-enabled future. This includes: Industry-Leading Benefits: We More ❯

and non-technical audiences through written reports, presentations, and external publications. BASIC QUALIFICATIONS PhD, or a Master's degree and experience in CS, CE, ML or related field Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language … any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in building machine learning models for business applications PREFERRED QUALIFICATIONS Experience using Unix/Linux Experience in professional software development Amazon is an equal opportunities employer. More ❯