776 to 800 of 870 Machine Learning Jobs in the City of London

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 ❯

Security Architect – ML/AI Systems 📍 UK | Hybrid | Up to £130,000 + Package | SC Eligible We’re looking for a hands-on Security Architect with deep expertise in ML/AI systems to join a leading Security Team. This is a rare opportunity to act as a technical SME, shaping the security of AI-driven systems in high-stakes … environments. What you’ll be doing: Own and design security architectures for ML/AI systems, ensuring robust protection across all stages of the AI lifecycle. Act as the technical SME, providing guidance and solutions to complex security challenges in AI/ML deployments. Work closely with engineering, data science, and DevSecOps teams to embed security best practices. Assess and … mitigate risks specific to AI models, data pipelines, and ML/AI frameworks. Influence security strategy and contribute to cutting-edge AI security initiatives. Experience & Skills Required: Proven hands-on experience securing ML/AI systems (not theoretical knowledge). Deep technical expertise in AI/ML architectures, data pipelines, and model lifecycle security. Strong understanding of threat modeling, risk More ❯

Security Architect – ML/AI Systems 📍 UK | Hybrid | Up to £130,000 + Package | SC Eligible We’re looking for a hands-on Security Architect with deep expertise in ML/AI systems to join a leading Security Team. This is a rare opportunity to act as a technical SME, shaping the security of AI-driven systems in high-stakes … environments. What you’ll be doing: Own and design security architectures for ML/AI systems, ensuring robust protection across all stages of the AI lifecycle. Act as the technical SME, providing guidance and solutions to complex security challenges in AI/ML deployments. Work closely with engineering, data science, and DevSecOps teams to embed security best practices. Assess and … mitigate risks specific to AI models, data pipelines, and ML/AI frameworks. Influence security strategy and contribute to cutting-edge AI security initiatives. Experience & Skills Required: Proven hands-on experience securing ML/AI systems (not theoretical knowledge). Deep technical expertise in AI/ML architectures, data pipelines, and model lifecycle security. Strong understanding of threat modeling, risk More ❯

Suite, Axure, and interactive prototyping. A portfolio showing beautiful, functional, user-focused designs. A visionary yet pragmatic approach, with sharp attention to detail. Bonus points if you’ve designed machine learning-driven products, worked with design systems, or have a knack for microcopy. More ❯

Suite, Axure, and interactive prototyping. A portfolio showing beautiful, functional, user-focused designs. A visionary yet pragmatic approach, with sharp attention to detail. Bonus points if you’ve designed machine learning-driven products, worked with design systems, or have a knack for microcopy. More ❯

Clearable Candidates Only Areti Group is working with one of the UK's fastest-growing, well-funded tech start-ups, is hiring Multiple Data Engineers/Data Scientists/ML Analysts to join our cutting-edge team in London. We're on a mission to scale rapidly – with plans to grow by 40 heads this year – and this is your More ❯

Clearable Candidates Only Areti Group is working with one of the UK's fastest-growing, well-funded tech start-ups, is hiring Multiple Data Engineers/Data Scientists/ML Analysts to join our cutting-edge team in London. We're on a mission to scale rapidly – with plans to grow by 40 heads this year – and this is your More ❯

Senior Data Scientist Paying up to £85,000 + bonus Hybrid in London AI/ML-Driven PropTech I am currently working with start/scale up within the PropTech sector looking to hire a Data Scientist to work on high-impact predictive modelling projects in a fast-growing company. This role offers the opportunity to work end-to-end … on ML models, helping to revolutionise the property industry by leveraging data-driven insights. As a Data Scientist, you’ll be building and optimising predictive models to understand trends in the property market, such as likelihood of sale and customer retention. You’ll work closely with Data Engineers and Product teams to drive AI/ML innovation while ensuring models … in cloud-based data environments. A problem-solver with a commercial mindset who can translate data insights into business impact. Why Join? Fast-growing company with exciting AI/ML-driven initiatives . Clear career progression – structured frameworks for growth . Hybrid working – flexibility with 2-3 days per week in London HQ . Be part of a collaborative and More ❯

ll be the strategic and technical visionary transforming revolutionary nanopore technology into world-changing insights. Define organisational strategy, build and inspire a world-class team, set technical vision for ML integration with nanopore technology, and champion industry-leading standards from research to production Represent the company at major conferences and strategic partnerships, collaborate with stakeholders to unlock innovation opportunities, and … all levels Proven track record translating cutting-edge research into production systems Advanced degree (PhD preferred) in quantitative discipline Extensive Python programming/modeling experience, and deep expertise in ML for time-series and probabilistic modeling Having an established network in computational biology/ML communities would be desirable as well as high-impact publications or open-source contributions, biotech More ❯

systems, APIs, and data stores using Python, Java, or Node.js backends. Collaborate with architects to define scalable and secure AI service architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous improvement processes. Optimize inference performance More ❯

Specialist) Location: London Permanent: Full-time Salary: Up to £120k plus bonus About the Role A unique opportunity for a senior security professional with deep expertise in AI and Machine Learning. This position plays a key role in shaping enterprise security architecture and governance for AI-driven systems. The … role involves developing strategies, defining security frameworks, and influencing stakeholders across the organisation to ensure secure and ethical use of AI technologies. Key Responsibilities Define and implement AI/ML security strategies, policies, and architecture standards. Lead enterprise-level AI security risk assessments and mitigation planning. Oversee data protection, privacy, and compliance for AI systems. Champion ethical AI and contribute … governance frameworks. Collaborate with senior stakeholders to embed security across AI lifecycles. Skills & Experience 7+ years’ experience in cybersecurity with a focus on architecture. Strong knowledge of AI/ML concepts, risks, and security controls. Experience designing secure AI architectures and pipelines. Understanding of data privacy and regulatory frameworks (GDPR, ISO 27001, NIST). DevSecOps and cloud security expertise across More ❯

Specialist) Location: London Permanent: Full-time Salary: Up to £120k plus bonus About the Role A unique opportunity for a senior security professional with deep expertise in AI and Machine Learning. This position plays a key role in shaping enterprise security architecture and governance for AI-driven systems. The … role involves developing strategies, defining security frameworks, and influencing stakeholders across the organisation to ensure secure and ethical use of AI technologies. Key Responsibilities Define and implement AI/ML security strategies, policies, and architecture standards. Lead enterprise-level AI security risk assessments and mitigation planning. Oversee data protection, privacy, and compliance for AI systems. Champion ethical AI and contribute … governance frameworks. Collaborate with senior stakeholders to embed security across AI lifecycles. Skills & Experience 7+ years’ experience in cybersecurity with a focus on architecture. Strong knowledge of AI/ML concepts, risks, and security controls. Experience designing secure AI architectures and pipelines. Understanding of data privacy and regulatory frameworks (GDPR, ISO 27001, NIST). DevSecOps and cloud security expertise across More ❯

to align capabilities and avoid duplication. Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes. Mentor junior engineers and set best practices for AI/ML infrastructure. Influence across organisational boundaries and champion modern engineering trends. Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity More ❯

to align capabilities and avoid duplication. Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes. Mentor junior engineers and set best practices for AI/ML infrastructure. Influence across organisational boundaries and champion modern engineering trends. Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Python (Java familiarity More ❯

possible in 3D content creation. What you’ll do Build and scale backend services and APIs for web and desktop applications. Design and implement distributed systems for async processing, ML workflows, and asset pipelines. Own authentication, billing, and subscription systems — ensuring reliability and seamless user experience. Drive observability, performance tuning, and deployment automation across the stack. Collaborate closely with product … frontend, and ML teams to deliver features that delight and scale. You should have 5+ years of experience developing production-grade backend systems and APIs. Strong skills in Python (FastAPI or similar) and modern cloud infrastructure. Deep understanding of system design, scalability, and reliability . A product-oriented mindset — you design with end users and UX impact in mind. Passion … interfaces. Nice-to-haves Experience with cloud-native infrastructure (AWS, GCP, or Azure). Familiarity with auth, billing, or subscription systems . Background in 3D graphics, creative tooling, or ML pipelines . Knowledge of observability tools like Grafana, Prometheus, or OpenTelemetry. This is a rare opportunity to join an early-stage team backed by leading deep-tech investors, building the More ❯

possible in 3D content creation. What you’ll do Build and scale backend services and APIs for web and desktop applications. Design and implement distributed systems for async processing, ML workflows, and asset pipelines. Own authentication, billing, and subscription systems — ensuring reliability and seamless user experience. Drive observability, performance tuning, and deployment automation across the stack. Collaborate closely with product … frontend, and ML teams to deliver features that delight and scale. You should have 5+ years of experience developing production-grade backend systems and APIs. Strong skills in Python (FastAPI or similar) and modern cloud infrastructure. Deep understanding of system design, scalability, and reliability . A product-oriented mindset — you design with end users and UX impact in mind. Passion … interfaces. Nice-to-haves Experience with cloud-native infrastructure (AWS, GCP, or Azure). Familiarity with auth, billing, or subscription systems . Background in 3D graphics, creative tooling, or ML pipelines . Knowledge of observability tools like Grafana, Prometheus, or OpenTelemetry. This is a rare opportunity to join an early-stage team backed by leading deep-tech investors, building the More ❯

technical field Over 7 years of experience with at least 1 year working hands-on with large language models to solve complex problems Strong foundation in both AI/ML concepts and backend engineering principles Experience working in fast-paced environments where requirements evolve rapidly Technical Skills LLM & Agent Development : Hands-on experience building applications with large language models, implementing … advanced prompting techniques, RAG systems, and agentic workflows Backend Engineering : Proficient in Python and backend frameworks (e.g. FastAPI, Django, Flask); understanding of distributed systems and scalable architectures AI/ML Frameworks : Experience with PyTorch, Hugging Face Transformers, LangChain, or similar frameworks for building LLM applications Data & Storage Systems : Comfortable with databases (PostgreSQL, MySQL), vector databases, and embedding systems for retrieval … Infrastructure : Knowledge of cloud platforms, containerisation, and deploying ML workloads to production Desirable Experience Exposure to research-driven product development or academic AI research Experience with multi-agent systems, simulation frameworks, or agent-based modeling Knowledge of fine-tuning workflows, model optimization, and experiment tracking Understanding of statistical validation and data quality assessment Personal Attributes Strong ownership mentality—you see More ❯

technical field Over 7 years of experience with at least 1 year working hands-on with large language models to solve complex problems Strong foundation in both AI/ML concepts and backend engineering principles Experience working in fast-paced environments where requirements evolve rapidly Technical Skills LLM & Agent Development : Hands-on experience building applications with large language models, implementing … advanced prompting techniques, RAG systems, and agentic workflows Backend Engineering : Proficient in Python and backend frameworks (e.g. FastAPI, Django, Flask); understanding of distributed systems and scalable architectures AI/ML Frameworks : Experience with PyTorch, Hugging Face Transformers, LangChain, or similar frameworks for building LLM applications Data & Storage Systems : Comfortable with databases (PostgreSQL, MySQL), vector databases, and embedding systems for retrieval … Infrastructure : Knowledge of cloud platforms, containerisation, and deploying ML workloads to production Desirable Experience Exposure to research-driven product development or academic AI research Experience with multi-agent systems, simulation frameworks, or agent-based modeling Knowledge of fine-tuning workflows, model optimization, and experiment tracking Understanding of statistical validation and data quality assessment Personal Attributes Strong ownership mentality—you see More ❯

software engineering. Strong background in TypeScript + React or Python , and solid understanding of SQL . Experience building and maintaining technically complex products. Excited by solving hard problems and learning fast. Excellent communication skills — able … to explain not just what happened, but why. Bonus: You tinker, learn, and build in your spare time. 🚫 What We’re Not Looking For Data scientists or AI/ML engineers focused on agent frameworks (e.g. LangChain). Short-term contractors or job hoppers — this is a hands-on, long-term build role. If you want to work on deep More ❯

working, 3 days a week in Central London We’re hiring an Engineering Lead for a high-growth, AI-driven company that’s reshaping how businesses leverage data and machine learning. This is an opportunity to work closely with the founder to lead technical strategy, manage and scale the engineering and data science teams, and help shape the product … cross-functional team of engineers and data scientists, with the remit to scale and eventually manage 4 squads. Key Responsibilities Act as technical lead across engineering, data science, and ML/AI Directly manage and grow engineering and data science teams Make architectural decisions and ensure high technical standards Translate product vision into engineering roadmaps and execution plans Provide rapid … hands-on guidance Tech Environment Backend: Node.js/NestJS (must-have) Frontend: React/Angular (either is fine) Python: Not day-to-day, but strong understanding needed to oversee ML/data science function Cloud: GCP stack (AWS or Azure acceptable) Full-stack preferred, backend-leaning also welcome You’ll Excel If You Have: Previous startup leadership experience (founder, founding More ❯

software engineering. Strong background in TypeScript + React or Python , and solid understanding of SQL . Experience building and maintaining technically complex products. Excited by solving hard problems and learning fast. Excellent communication skills — able to … explain not just what happened, but why . Bonus: You tinker, learn, and build in your spare time. 🚫 What We’re Not Looking For Data scientists or AI/ML engineers focused on agent frameworks (e.g. LangChain). Short-term contractors or job hoppers — this is a hands-on, long-term build role. If you want to work on deep More ❯

Be Doing Build and scale the company’s first AI R&D function from the ground up Design and deploy intelligent agents, models, and automation frameworks Experiment with LLMs, ML, and agentic systems using live production data Integrate third-party APIs (OpenAI, Microsoft, Anthropic) into core SaaS products Develop reusable architectures and rapid prototypes that move from idea to value … Someone who can move from concept to code without getting lost in the theory. You’ve already built or deployed real-world AI systems. You understand LLMs, NLP, and ML frameworks like TensorFlow, PyTorch, or LangChain. You know your way around Azure, AWS, or GCP, and you’re confident designing APIs, microservices, and data pipelines. Maybe you’ve come from … uses AI — not in theory, but in practice. Your work will influence thousands of schools worldwide, enabling educators to make smarter decisions, freeing up time for teachers, and creating learning experiences that truly adapt to every individual. You’ll help define what AI in education actually looks like. This is your chance to put your fingerprints on something with More ❯

Be Doing Build and scale the company’s first AI R&D function from the ground up Design and deploy intelligent agents, models, and automation frameworks Experiment with LLMs, ML, and agentic systems using live production data Integrate third-party APIs (OpenAI, Microsoft, Anthropic) into core SaaS products Develop reusable architectures and rapid prototypes that move from idea to value … Someone who can move from concept to code without getting lost in the theory. You’ve already built or deployed real-world AI systems. You understand LLMs, NLP, and ML frameworks like TensorFlow, PyTorch, or LangChain. You know your way around Azure, AWS, or GCP, and you’re confident designing APIs, microservices, and data pipelines. Maybe you’ve come from … uses AI — not in theory, but in practice. Your work will influence thousands of schools worldwide, enabling educators to make smarter decisions, freeing up time for teachers, and creating learning experiences that truly adapt to every individual. You’ll help define what AI in education actually looks like. This is your chance to put your fingerprints on something with More ❯

for external release later this year. Tech Stack & Skills Languages: Python (core control logic), TypeScript (backend/orchestration), some exposure to C++ is a plus. Domains: Robotics, AI/ML integration, backend and full-stack software. Frameworks: Experience with ROS (Robot Operating System) or similar robotic frameworks is advantageous. Mindset: Logical, adaptable, and excited by complex technical challenges across multiple … world, physical impact. Are comfortable jumping between low-level control code and high-level product systems. Have an interest in robotics, automation, or intelligent systems. Value ownership, visibility, and learning from a talented, close-knit team. What’s On Offer Remote-first setup (UK-based) with occasional in-person team sessions. Direct exposure to robotics, AI, and cloud-scale More ❯

bonus + benefits What You’ll Do: Work with clients to understand business goals, technical requirements, and regulatory considerations. Design and deliver innovative solutions — from data platforms, AI/ML models, and analytics pipelines to enterprise-grade architectures for banking, insurance, and trading systems. Lead or contribute to teams delivering transformation projects such as core system modernisation, digital platforms, payment … in Financial Services, Insurance, Capital Markets, or Core Banking. Solution Architecture (designing scalable, secure, and high-performance enterprise systems), or Data/AI (data engineering, data science, AI/ML, analytics solutions). Strong communication skills with the ability to engage business and technical stakeholders. Comfortable working in dynamic, client-facing roles within regulated environments. What You’ll Gain: Opportunity More ❯