376 to 400 of 440 Machine Learning Jobs in Central London

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 ❯

apps, ensuring performance, UX quality, and seamless integration with the e-commerce ecosystem. AI & Advanced Technology: Drive AI initiatives, including product recommendation engines, computer vision, predictive analytics, and other ML-driven applications. Project & Delivery Management: Ensure projects are delivered on time, within budget, and to high-quality standards. Implement agile methodologies and best practices for engineering workflows. Infrastructure & Security: Oversee … and AI or data-driven projects. Strong expertise in Magento 2, APIs, modern web and mobile frameworks (React, PHP) and cloud infrastructure (GCP) Hands-on experience with AI/ML initiatives, including model deployment, data pipelines, and analytics integration. Demonstrated ability to architect scalable, secure, and performant systems. Strong understanding of software development life cycles, agile methodologies, and CI/… with executive oversight and decision-making. Innovative Problem Solver: Encourages experimentation, evaluates emerging technologies, and drives innovation. Collaborative Mentor: Builds high-performing teams and fosters a culture of growth, learning, and accountability. Customer-Centric: Ensures all technical initiatives ultimately enhance the user experience and business impact Application: · Application method: please email CV and Cover Letter to recruitment@classicfootballshirts.co.uk · Please More ❯

apps, ensuring performance, UX quality, and seamless integration with the e-commerce ecosystem. AI & Advanced Technology: Drive AI initiatives, including product recommendation engines, computer vision, predictive analytics, and other ML-driven applications. Project & Delivery Management: Ensure projects are delivered on time, within budget, and to high-quality standards. Implement agile methodologies and best practices for engineering workflows. Infrastructure & Security: Oversee … and AI or data-driven projects. Strong expertise in Magento 2, APIs, modern web and mobile frameworks (React, PHP) and cloud infrastructure (GCP) Hands-on experience with AI/ML initiatives, including model deployment, data pipelines, and analytics integration. Demonstrated ability to architect scalable, secure, and performant systems. Strong understanding of software development life cycles, agile methodologies, and CI/… with executive oversight and decision-making. Innovative Problem Solver: Encourages experimentation, evaluates emerging technologies, and drives innovation. Collaborative Mentor: Builds high-performing teams and fosters a culture of growth, learning, and accountability. Customer-Centric: Ensures all technical initiatives ultimately enhance the user experience and business impact Application: · Application method: please email CV and Cover Letter to recruitment@classicfootballshirts.co.uk · Please More ❯

standards. Conduct code reviews and provide technical mentorship. Collaborate with the Head of AI and Technology to align development priorities with business objectives. Foster a culture of collaboration, continuous learning, and high performance. Troubleshoot and resolve complex issues, ensuring platform reliability and uptime. Required Skills & Qualifications: 10+ years of commercial software development experience, with at least 5 years in … API design. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Excellent communication skills, capable of motivating and aligning technical teams. Desirable: Experience with AI tools, APIs, ML pipelines, containerisation (Docker/Kubernetes), event-driven architecture (Kafka/RabbitMQ). Benefits: Hybrid working model (minimum 3 days a week in office) 25 days annual leave plus bank holidays More ❯

standards. Conduct code reviews and provide technical mentorship. Collaborate with the Head of AI and Technology to align development priorities with business objectives. Foster a culture of collaboration, continuous learning, and high performance. Troubleshoot and resolve complex issues, ensuring platform reliability and uptime. Required Skills & Qualifications: 10+ years of commercial software development experience, with at least 5 years in … API design. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Excellent communication skills, capable of motivating and aligning technical teams. Desirable: Experience with AI tools, APIs, ML pipelines, containerisation (Docker/Kubernetes), event-driven architecture (Kafka/RabbitMQ). Benefits: Hybrid working model (minimum 3 days a week in office) 25 days annual leave plus bank holidays More ❯

high-speed visual search and reasoning Manage cloud infrastructure (compute, networking, storage, security, observability) Set up CI/CD pipelines for fast, reliable deployments Deploy and integrate AI/ML models into production pipelines Take a product-first approach: asking “why,” not just “how” What You’ll Need Essential Skills Startup Mindset: Bias for action, ownership, comfort with ambiguity Backend … + strong data modeling Containers: Docker; orchestration tools Infra as Code: Terraform, CloudFormation Monitoring: Prometheus, Grafana, ELK Security & Compliance: Data protection and access control Nice-to-Haves AI/ML integration (PyTorch, HF etc.) MLOps (MLflow, Kubeflow, SageMaker) Vector search (Pinecone, pgvector, Weaviate, Qdrant etc.) Video ingestion pipelines & codecs 💡Don’t worry if you haven’t used these exact tools. More ❯

high-speed visual search and reasoning Manage cloud infrastructure (compute, networking, storage, security, observability) Set up CI/CD pipelines for fast, reliable deployments Deploy and integrate AI/ML models into production pipelines Take a product-first approach: asking “why,” not just “how” What You’ll Need Essential Skills Startup Mindset: Bias for action, ownership, comfort with ambiguity Backend … + strong data modeling Containers: Docker; orchestration tools Infra as Code: Terraform, CloudFormation Monitoring: Prometheus, Grafana, ELK Security & Compliance: Data protection and access control Nice-to-Haves AI/ML integration (PyTorch, HF etc.) MLOps (MLflow, Kubeflow, SageMaker) Vector search (Pinecone, pgvector, Weaviate, Qdrant etc.) Video ingestion pipelines & codecs 💡Don’t worry if you haven’t used these exact tools. More ❯

Founding AI Engineer x 3 - Python, AI, ML, Cloud OB have partnered with an Financial Services business leveraging AI, who are looking for 3 AI/ML Engineers, to join their growing team, and play a pivotal part in developing cutting edge solutions. Founding AI Engineer x 3 - Python, AI, ML, Cloud Key Skills & Experience: 5+ years of experience within … AI/ML Engineer Strong background in AI/ML Engineering Python expertise Knowledge of ML libraries such a PyTorch or TensorFlow Cloud platform experience (AWS, Azure or GCP) Experience working in production environments, shipping and building products This role is a hybrid role with 2-days a week required in Central London offices Base salary of £80k-£150k depending … on skills and experience Visa sponsorship unfortunately unavailable Founding AI Engineer x 3 - Python, AI, ML, Cloud More ❯

Do you want to own the ML infrastructure at a frontier AI startup? Have you built cloud and ML systems from scratch, not just maintained them? Are you ready to shape the backbone of 3D generative AI? SpAItial is pioneering the development of a frontier 3D foundation model , combining cutting-edge AI, computer vision, and spatial computing to redefine how … seed funding , with half allocated to compute, SpAItial is a 10-person research-focused team moving fast towards a public demo later this year. We’re looking for a ML & Cloud Infrastructure Engineer to take ownership of our entire ML infrastructure. This isn’t a ticket-handling MLOps role — it’s a chance to build the systems that will power … frontier AI research and production at scale. Key Responsibilities: Design and deploy scalable, high-performance cloud infra for ML workloads Build and manage GPU clusters, storage systems, and distributed training environments Set up and optimise containerised workflows (Docker, Kubernetes, Terraform) Implement robust monitoring, incident response, and CI/CD practices Collaborate closely with researchers to integrate and scale experiments This More ❯

Do you want to own the ML infrastructure at a frontier AI startup? Have you built cloud and ML systems from scratch, not just maintained them? Are you ready to shape the backbone of 3D generative AI? SpAItial is pioneering the development of a frontier 3D foundation model , combining cutting-edge AI, computer vision, and spatial computing to redefine how … seed funding , with half allocated to compute, SpAItial is a 10-person research-focused team moving fast towards a public demo later this year. We’re looking for a ML & Cloud Infrastructure Engineer to take ownership of our entire ML infrastructure. This isn’t a ticket-handling MLOps role — it’s a chance to build the systems that will power … frontier AI research and production at scale. Key Responsibilities: Design and deploy scalable, high-performance cloud infra for ML workloads Build and manage GPU clusters, storage systems, and distributed training environments Set up and optimise containerised workflows (Docker, Kubernetes, Terraform) Implement robust monitoring, incident response, and CI/CD practices Collaborate closely with researchers to integrate and scale experiments This More ❯

client outcomes. Key Skills & Experience Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to translate complex technology into clear business outcomes and … collaboration, and stakeholder management skills. Proficiency in Agile methodologies and tools (Jira, Confluence). Desirable: Knowledge of cloud data technologies (SQL, NoSQL, data lakes). Experience with AI/ML frameworks and orchestration tools. Background in financial services or other regulated industries. Understanding of data processing and reconciliation solutions. What’s on Offer Competitive salary + excellent benefits package Hybrid More ❯

client outcomes. Key Skills & Experience Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to translate complex technology into clear business outcomes and … collaboration, and stakeholder management skills. Proficiency in Agile methodologies and tools (Jira, Confluence). Desirable: Knowledge of cloud data technologies (SQL, NoSQL, data lakes). Experience with AI/ML frameworks and orchestration tools. Background in financial services or other regulated industries. Understanding of data processing and reconciliation solutions. What’s on Offer Competitive salary + excellent benefits package Hybrid More ❯

Business Product Owner, Data Analytics, Azure, Data Engineering, AI, ML, Azure, Mainly Remote Product Owner (Technical and Business) required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe and the States on occasions. We need someone who has worked on LARGE and SIGNIFICANT … track, analyze, and interpret KPIs to guide product improvements and communicate results to stakeholders. Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures. Communication skills:Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership. Collaboration and flexibility: Experience working with More ❯

to the CMO (also CIO/CPO), lead a small DS team, and work cross-functionally with product, tech, innovation, and local business units. Responsibilities Set the AI/ML roadmap Lead model development (personalisation, churn, pricing) Scale internal GenAI tools across markets Ensure compliance (GDPR, EU AI Act) Influence senior stakeholders incl. CMO, CTO, CEO Requirements 10+ years in … ML/DS, including senior leadership Hands-on background in model deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

to the CMO (also CIO/CPO), lead a small DS team, and work cross-functionally with product, tech, innovation, and local business units. Responsibilities Set the AI/ML roadmap Lead model development (personalisation, churn, pricing) Scale internal GenAI tools across markets Ensure compliance (GDPR, EU AI Act) Influence senior stakeholders incl. CMO, CTO, CEO Requirements 10+ years in … ML/DS, including senior leadership Hands-on background in model deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

Data Scientist with a passion for optimisation and operations research to help take the platform to the next level. There is a strong focus on mathematical modelling and utilising ML and AI technologies to help further scale systems. Key responsibilities Develop and deploy optimisation models and algorithms for staff scheduling and warehouse workforce planning ( Metaheuristics/Heuristics). Develop mathematical … models and optimisers (beyond standard ML approaches) Evolve the existing optimiser into a scalable, production-ready system Write production-quality Python code and collaborate closely with engineers and other data scientists Mentor and coach junior data scientists whilst maintaining best practice. What they're looking for Strong Python skills (critical) Hands-on experience with optimisation/operations research/mathematical More ❯

Data Scientist with a passion for optimisation and operations research to help take the platform to the next level. There is a strong focus on mathematical modelling and utilising ML and AI technologies to help further scale systems. Key responsibilities Develop and deploy optimisation models and algorithms for staff scheduling and warehouse workforce planning ( Metaheuristics/Heuristics). Develop mathematical … models and optimisers (beyond standard ML approaches) Evolve the existing optimiser into a scalable, production-ready system Write production-quality Python code and collaborate closely with engineers and other data scientists Mentor and coach junior data scientists whilst maintaining best practice. What they're looking for Strong Python skills (critical) Hands-on experience with optimisation/operations research/mathematical More ❯

via umbrella) Contract End Date: March 27, 2026 2- 3 days onsite in Kings Cross pw required Join a forward-thinking organisation where innovation meets collaboration. Our AI/ML team is built on the principles of ownership, accountability, continuous development, and teamwork. We are committed to creating a supportive environment that fosters your career growth from day one. Key … Responsibilities: Implement front-end features for a React application that visualises and interacts with scientific data and workflow progression. Integrate AI/ML components with the frontend, backend, data, and compute infrastructure. Ensure high-quality software implementations according to best practises, including automated test suites and comprehensive documentation. Develop, measure, and monitor key metrics for all tools and services, consistently More ❯

Do you want to design and lead AI strategy across a PE portfolio? Have you built and delivered AI/ML systems that directly impacted business outcomes? Are you ready to work with board-level leaders to define how AI transforms financial services? A specialist private equity firm is hiring a Principal or Director of Data & AI to lead strategic … deliver AI & data strategies across portfolio companies and internal teams Lead technical diligence on AI-readiness and opportunities during deal evaluation Build and deploy reusable LLM/AI/ML systems (agents, copilots, etc.) to unlock value Define governance frameworks across risk, explainability, audit, and compliance Own internal AI transformation—deploying tools, platforms, and training programmes Build and manage a More ❯

Do you want to design and lead AI strategy across a PE portfolio? Have you built and delivered AI/ML systems that directly impacted business outcomes? Are you ready to work with board-level leaders to define how AI transforms financial services? A specialist private equity firm is hiring a Principal or Director of Data & AI to lead strategic … deliver AI & data strategies across portfolio companies and internal teams Lead technical diligence on AI-readiness and opportunities during deal evaluation Build and deploy reusable LLM/AI/ML systems (agents, copilots, etc.) to unlock value Define governance frameworks across risk, explainability, audit, and compliance Own internal AI transformation—deploying tools, platforms, and training programmes Build and manage a More ❯

A well-established business is looking for an accomplished Software Engineer with expert Python skills to join its organisation. Please note, this role is Outside IR35. The company embraces hybrid and flexible working so you will be able to work More ❯

office 3 days a week. You will help build and manage the robust data infrastructure that powers their AI-driven analysis platform and allows them to train their foundational ML models. You will work closely with both the ML team and the product team, managing huge datasets of binary analyses and ensuring that the data requirements of both teams are … to have: Experience working with modern cloud data warehouses like Snowflake or BigQuery. Experience working with vector databases (e.g. Qdrant) Experience/understanding of data requirements for large-scale ML training. Experience working in a fast-paced start-up environment. Some domain knowledge/interest - knowledge of compiled languages (C/C Rust etc), binary analysis. Unfortunately, this firm are More ❯

office 3 days a week. You will help build and manage the robust data infrastructure that powers their AI-driven analysis platform and allows them to train their foundational ML models. You will work closely with both the ML team and the product team, managing huge datasets of binary analyses and ensuring that the data requirements of both teams are … to have: Experience working with modern cloud data warehouses like Snowflake or BigQuery. Experience working with vector databases (e.g. Qdrant) Experience/understanding of data requirements for large-scale ML training. Experience working in a fast-paced start-up environment. Some domain knowledge/interest - knowledge of compiled languages (C/C Rust etc), binary analysis. Unfortunately, this firm are More ❯

building production AI systems with Python, PyTorch, and LLMs (OpenAI, Anthropic, etc.), integrated into real user workflows Familiarity with MLOps tools and CI/CD for both traditional and ML-driven systems Strong backend and API development skills — comfortable owning systems end-to-end, from data pipelines to user-facing interfaces Passion for building clean, usable products that solve real … fast Comfortable wearing multiple hats, challenging assumptions, and shaping product direction in ambiguous environments Bonus Points Prior startup or 0→1 product experience Contributions to open-source AI/ML projects Experience with aviation, aerospace, or other safety-critical domains You Should Apply If... You love building real products that users depend on — not just prototypes You’re excited about … from design and implementation to iteration and support You’re looking for a large team with established roadmaps and guardrails Tech Stack Core: Python, FastAPI, TypeScript, React AI/ML: OpenAI, Anthropic, computer use, evals, voice agents Infrastructure: Azure, Docker Process: 1. Talent Screen (30 min video call) 2. Hiring Manager Interview (30 min video call) 3. Take-Home Test More ❯

building production AI systems with Python, PyTorch, and LLMs (OpenAI, Anthropic, etc.), integrated into real user workflows Familiarity with MLOps tools and CI/CD for both traditional and ML-driven systems Strong backend and API development skills — comfortable owning systems end-to-end, from data pipelines to user-facing interfaces Passion for building clean, usable products that solve real … fast Comfortable wearing multiple hats, challenging assumptions, and shaping product direction in ambiguous environments Bonus Points Prior startup or 0→1 product experience Contributions to open-source AI/ML projects Experience with aviation, aerospace, or other safety-critical domains You Should Apply If... You love building real products that users depend on — not just prototypes You’re excited about … from design and implementation to iteration and support You’re looking for a large team with established roadmaps and guardrails Tech Stack Core: Python, FastAPI, TypeScript, React AI/ML: OpenAI, Anthropic, computer use, evals, voice agents Infrastructure: Azure, Docker Process: 1. Talent Screen (30 min video call) 2. Hiring Manager Interview (30 min video call) 3. Take-Home Test More ❯