651 to 675 of 794 Machine Learning Jobs in the City of London

agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‐time streams). Partner with PMs/CX to evolve taxonomies, schemas, and guardrails; translate business problems into shipped ML features. 10% Align & showcase Gather requirements from CX and product leads, demo new capabilities to execs & customers, and document impact with precision/recall, alert quality, latency, and cost metrics. … no silos, and carry work from prototype to production. 🛠️ AI‐native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). 7–10 years building production ML/back‐end systems; 2+ years leading while coding. Expert Python ; strong back‐end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams). Agents & RAG: Fluency with at More ❯

agents into ticketing, voice, and analytics stacks (APIs, webhooks, real‐time streams). Partner with PMs/CX to evolve taxonomies, schemas, and guardrails; translate business problems into shipped ML features. 10% Align & showcase Gather requirements from CX and product leads, demo new capabilities to execs & customers, and document impact with precision/recall, alert quality, latency, and cost metrics. … no silos, and carry work from prototype to production. 🛠️ AI‐native dev tools are your daily drivers: Cursor, v0, Claude Code (or similar). 7–10 years building production ML/back‐end systems; 2+ years leading while coding. Expert Python ; strong back‐end chops (e.g., FastAPI, gRPC, Postgres, pub/sub/streams). Agents & RAG: Fluency with at More ❯

will collaborate with design and user research to gather feedback, ensuring our platform meets both technical and user needs. If you are passionate about building next-generation AI/ML products, thrive in a fast-paced Agile environment, and excel at collaborating with engineers to solve complex problems, then this role is for you. Responsibilities Work closely with software engineering … experience as a software engineer, SRE/DevOps engineer, or similar technical role is highly valued and will help deeply engage with the engineering team. Familiarity with AI/ML infrastructure or HPC (high-performance computing) environments. Understanding of GPU computing, cloud computing services, or data centre operations is a plus. Experience working at a startup or in a rapidly More ❯

will collaborate with design and user research to gather feedback, ensuring our platform meets both technical and user needs. If you are passionate about building next-generation AI/ML products, thrive in a fast-paced Agile environment, and excel at collaborating with engineers to solve complex problems, then this role is for you. Responsibilities Work closely with software engineering … experience as a software engineer, SRE/DevOps engineer, or similar technical role is highly valued and will help deeply engage with the engineering team. Familiarity with AI/ML infrastructure or HPC (high-performance computing) environments. Understanding of GPU computing, cloud computing services, or data centre operations is a plus. Experience working at a startup or in a rapidly More ❯

Staff Software Engineer – AI/ML (Business Systems Intelligence) London (Hybrid – 2 days per week in office) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be … mentor other engineers, and help define how AI and automation are adopted across the company. What You’ll Do Lead the design, architecture, and implementation of internal AI/ML systems for business intelligence. Build robust APIs, microservices, and data pipelines to power intelligent, data-driven tools. Develop retrieval-augmented generation (RAG) systems using vector databases for contextual AI. Set … backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate). Proficiency in Python plus at least one other backend language (TypeScript or Java preferred). Proven experience with AWS , containerisation, and More ❯

Staff Software Engineer – AI/ML (Business Systems Intelligence) London (Hybrid – 2 days per week in office) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be … mentor other engineers, and help define how AI and automation are adopted across the company. What You’ll Do Lead the design, architecture, and implementation of internal AI/ML systems for business intelligence. Build robust APIs, microservices, and data pipelines to power intelligent, data-driven tools. Develop retrieval-augmented generation (RAG) systems using vector databases for contextual AI. Set … backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate). Proficiency in Python plus at least one other backend language (TypeScript or Java preferred). Proven experience with AWS , containerisation, and More ❯

and quantitative analysts to deliver reliable, high-performance software solutions; Develop and maintain .NET-based applications within a high-performance grid computing environment; Driving innovation by exploring new technologies, machine learning and cutting edge tools to advance competitive edge. Who You Are: Recent graduate with stellar academics and 1-5 years of relevant experience Strong proficiency in C# More ❯

and quantitative analysts to deliver reliable, high-performance software solutions; Develop and maintain .NET-based applications within a high-performance grid computing environment; Driving innovation by exploring new technologies, machine learning and cutting edge tools to advance competitive edge. Who You Are: Recent graduate with stellar academics and 1-5 years of relevant experience Strong proficiency in C# More ❯

help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE We are looking for a GEN AI/ML Engineer who can collaborate with stakeholders to understand business challenges and translate them into technical solutions. Build and iterate AI-powered solutions, integrating LLMs and other AI components into business … Excellent communication and stakeholder engagement skills. Ability to work in ambiguous, fast-moving environments with minimal oversight. Experience in financial services or regulated industries. Familiarity with AWS AI/ML toolsets such as Amazon Bedrock, SageMaker, Jumpstart, POD, Kendra, and Lambda. Exposure to DevOps tools and practices such as Terraform, Ansible, and CI/CD pipelines. Understanding of data privacy More ❯

help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE We are looking for a GEN AI/ML Engineer who can collaborate with stakeholders to understand business challenges and translate them into technical solutions. Build and iterate AI-powered solutions, integrating LLMs and other AI components into business … Excellent communication and stakeholder engagement skills. Ability to work in ambiguous, fast-moving environments with minimal oversight. Experience in financial services or regulated industries. Familiarity with AWS AI/ML toolsets such as Amazon Bedrock, SageMaker, Jumpstart, POD, Kendra, and Lambda. Exposure to DevOps tools and practices such as Terraform, Ansible, and CI/CD pipelines. Understanding of data privacy More ❯

the long-term innovation roadmap. Team Leadership & Development Lead and mentor a team of data and AI architects , fostering a culture of collaboration, technical excellence, and innovation. Drive continuous learning and skill development in the data and AI domains. Qualifications Minimum Requirements: Bachelor’s degree in Computer Science, Computer Engineering, Information Systems , or a related field. 12+ years of …/NoSQL databases , data security , and performance optimization . Strong understanding of AI frameworks and scalable infrastructure . Preferred: Master’s or Ph.D. in a related field. Experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn). Prior experience with healthcare or biomedical data . Certification in data governance or architecture (CDMP, DAMA, TOGAF). More ❯

the long-term innovation roadmap. Team Leadership & Development Lead and mentor a team of data and AI architects , fostering a culture of collaboration, technical excellence, and innovation. Drive continuous learning and skill development in the data and AI domains. Qualifications Minimum Requirements: Bachelor’s degree in Computer Science, Computer Engineering, Information Systems , or a related field. 12+ years of …/NoSQL databases , data security , and performance optimization . Strong understanding of AI frameworks and scalable infrastructure . Preferred: Master’s or Ph.D. in a related field. Experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn). Prior experience with healthcare or biomedical data . Certification in data governance or architecture (CDMP, DAMA, TOGAF). More ❯

with stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance More ❯

how world-class compute, infrastructure, and DevOps platforms power AI and scientific discovery at global scale? We’re partnering with a pioneering research-driven organisation investing heavily in AI, ML, and next-generation cloud infrastructure , now seeking a Director of (Platform, Compute, Infrastructure, DevOps) Product Management to lead a portfolio that underpins one of the world’s most advanced digital … R&D ecosystems. 💡 Why this role? Lead the product strategy and roadmap for platform services enabling AI, ML, and data-driven science. Build and mentor a team of high-performing Product Managers , setting standards for excellence and delivery. Collaborate with engineering, data science, and research leaders to ensure platforms scale securely and efficiently across global teams. Shape the vision for More ❯

how world-class compute, infrastructure, and DevOps platforms power AI and scientific discovery at global scale? We’re partnering with a pioneering research-driven organisation investing heavily in AI, ML, and next-generation cloud infrastructure , now seeking a Director of (Platform, Compute, Infrastructure, DevOps) Product Management to lead a portfolio that underpins one of the world’s most advanced digital … R&D ecosystems. 💡 Why this role? Lead the product strategy and roadmap for platform services enabling AI, ML, and data-driven science. Build and mentor a team of high-performing Product Managers , setting standards for excellence and delivery. Collaborate with engineering, data science, and research leaders to ensure platforms scale securely and efficiently across global teams. Shape the vision for More ❯

AI, data processing, and scalable web architectures. Tech Stack Frontend: JavaScript, React Backend: Node.js, Python Infrastructure: AWS/GCP (experience with modern cloud environments is a plus) AI/ML: Exposure to applied AI, data models, or large language models preferred Tooling: GitHub, Docker, CI/CD pipelines About You 7+ years of professional experience in software engineering, with at … least 2 years in a leadership or management role. Strong background in full-stack JavaScript development (React + Node.js). Experience working with or integrating AI/ML systems or APIs. Proven ability to lead high-performing teams in a fast-paced, product-led environment. Excellent communication skills and a collaborative mindset. Comfortable balancing strategic thinking with hands-on delivery. More ❯

AI, data processing, and scalable web architectures. Tech Stack Frontend: JavaScript, React Backend: Node.js, Python Infrastructure: AWS/GCP (experience with modern cloud environments is a plus) AI/ML: Exposure to applied AI, data models, or large language models preferred Tooling: GitHub, Docker, CI/CD pipelines About You 7+ years of professional experience in software engineering, with at … least 2 years in a leadership or management role. Strong background in full-stack JavaScript development (React + Node.js). Experience working with or integrating AI/ML systems or APIs. Proven ability to lead high-performing teams in a fast-paced, product-led environment. Excellent communication skills and a collaborative mindset. Comfortable balancing strategic thinking with hands-on delivery. More ❯

Write clean, testable, and maintainable code. ->Collaborate in an agile environment, participating in sprint planning, code reviews, and team knowledge-sharing sessions. Tech Stack ->TypeScript ->Next.js ->Node.js ->GCP ->AWS (ML) ->CI/CD with GitHub actions and workflows ->SQL (PostgreSQL, MySQL) ->NoSQL (MongoDB, Firestore, Redis) ->RESTful APIs - GraphQL Requirements for Tech For Good (Audio Intelligence) | Innovative Products | Mid-Level (Back … who can balance delivering features with maintaining code quality. ->Strong communication skills and ability to collaborate across teams. Nice to haves... ->Python experience. ->GCP experience. ->Experience with AI/ML-powered applications. ->Exposure to real-time data processing. ->Knowledge of CI/CD pipelines and automated testing. Remuneration & Benefits £50K - £65k + Equity (once probation is passed) 40 days holiday More ❯

to senior stakeholders in Product, Operations, Architecture, and Cyber Security. Communicate risks, roadmaps, and progress transparently and effectively. Innovation & Emerging Tech Stay ahead of technology trends, particularly AI/ML, cloud computing (Azure, GCP), and data platforms — and explore how they can elevate our product offerings. Budget & Supplier Management Manage the technology budget, ensuring optimal resource allocation. Lead vendor/… complex environments. Deep understanding of agile methodologies, modern DevOps practices, and global delivery models (onshore/offshore). Excellent leadership, communication, and stakeholder management skills. Experience with AI/ML technologies is a significant advantage. Strong business acumen with the ability to align tech initiatives to broader strategic goals. Our offer At Kantar we have an integrated way of rewarding More ❯

to senior stakeholders in Product, Operations, Architecture, and Cyber Security. Communicate risks, roadmaps, and progress transparently and effectively. Innovation & Emerging Tech Stay ahead of technology trends, particularly AI/ML, cloud computing (Azure, GCP), and data platforms — and explore how they can elevate our product offerings. Budget & Supplier Management Manage the technology budget, ensuring optimal resource allocation. Lead vendor/… complex environments. Deep understanding of agile methodologies, modern DevOps practices, and global delivery models (onshore/offshore). Excellent leadership, communication, and stakeholder management skills. Experience with AI/ML technologies is a significant advantage. Strong business acumen with the ability to align tech initiatives to broader strategic goals. Our offer At Kantar we have an integrated way of rewarding More ❯

class prompts and interaction patterns to ensure consistency and reusability. Person Specifications: Core Qualifications (Must-Haves) Experience: 2-3 years of hands-on professional experience in an AI Engineer, ML Engineer, Data Scientist or Python development role with a focus on AI/ML applications. Prompt Engineering: Proven ability to design and iterate on prompts for real-world LLM applications … e.g., Google Cloud Run, AWS Lambda) is a plus. Our generous benefits package includes: Hybrid working [ 2 days in office/3 days remote] Private Health Insurance Employee Wellbeing Learning and Development Programmes Staff social engagement activities More benefits are available and will be discussed once successful. These benefits are applicable to Malta based candidates. “GIMO is committed to More ❯

class prompts and interaction patterns to ensure consistency and reusability. Person Specifications: Core Qualifications (Must-Haves) Experience: 2-3 years of hands-on professional experience in an AI Engineer, ML Engineer, Data Scientist or Python development role with a focus on AI/ML applications. Prompt Engineering: Proven ability to design and iterate on prompts for real-world LLM applications … e.g., Google Cloud Run, AWS Lambda) is a plus. Our generous benefits package includes: Hybrid working [ 2 days in office/3 days remote] Private Health Insurance Employee Wellbeing Learning and Development Programmes Staff social engagement activities More benefits are available and will be discussed once successful. These benefits are applicable to Malta based candidates. “GIMO is committed to More ❯

Integrations: Implement new connections and be the master and owner of these integrations. - Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. - ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries - Model Hosting … in building and monitoring production services or APIs. Experience with third-party APIs is essential. - Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions - Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists. - Infra: Deep Knowledge of Docker, Git, cloud networking, and cloud security More ❯

Staff Software Engineer – AI/ML (London (Hybrid – 2 days per week in office) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead … with large language models — creating intelligent tools and insights that enhance the way teams operate. What You’ll Do Lead the design, architecture, and implementation of internal AI/ML systems for business intelligence. Build robust APIs, microservices, and data pipelines to power intelligent, data-driven tools. Develop retrieval-augmented generation (RAG) systems using vector databases for contextual AI. Set … backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate). Proficiency in Python plus at least one other backend language (TypeScript or Java preferred). Proven experience with AWS , containerisation, and More ❯

Staff Software Engineer – AI/ML (London (Hybrid – 2 days per week in office) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead … with large language models — creating intelligent tools and insights that enhance the way teams operate. What You’ll Do Lead the design, architecture, and implementation of internal AI/ML systems for business intelligence. Build robust APIs, microservices, and data pipelines to power intelligent, data-driven tools. Develop retrieval-augmented generation (RAG) systems using vector databases for contextual AI. Set … backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate). Proficiency in Python plus at least one other backend language (TypeScript or Java preferred). Proven experience with AWS , containerisation, and More ❯