326 to 350 of 691 Machine Learning Jobs in the City of London

support the launch of the Axola app. You will take ownership of the technical delivery across frontend, backend, cloud and mobile, working closely with the founder and AI/ML engineers. Your responsibilities will include developing the web platform and mobile app, building APIs, supporting integrations, and deploying machine learning models into production. Requirements: Strong full-stack development …/Android apps. Backend expertise (databases, APIs, authentication, security). Cloud experience ( AWS/GCP/Azure , Docker, Kubernetes, CI/CD pipelines). Ability to integrate and deploy ML models into production. Startup mindset — ability to deliver with limited resources and wear multiple hats. Passion for sport and technology is a strong plus. What we offer: Competitive salary (depending More ❯

. The Role: You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: Develop and deploy machine learning models Solve complex data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or … Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background in working to strict project deadlines Palantir More ❯

. 🌳🌳🌳 The Role: You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: Develop and deploy machine learning models Solve complex data problems in a big data environment Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or … Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background in working to strict project deadlines Palantir More ❯

Stay hands-on while advising business leaders on data-driven decisions. Drive improvements in client and customer outcomes through active data analysis and modeling. Develop and refine predictive and machine learning models. Build and optimize customer lifetime value and key metric models. Continuously improve analytics and model accuracy. Lead and contribute to scalable model … deployment in production. Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1 day onsite per week onsite in Central London. This role cannot provide visa sponsorship. More ❯

frameworks (e.g. LangChain, CrewAI, AutoGen) Promote responsible and ethical AI standards across solutions What You’ll Bring Strong background in software/platform/DevOps architecture with AI/ML exposure Experience in using Azure Open AI and/or AWS Bedrock Hands-on experience deploying agentic or autonomous AI systems in production. Proficiency in Python Excellent communicator with consulting … or client-facing experience Knowledge of AI governance, interpretability, and bias mitigation principles Desirable Familiarity with IaC (Terraform, Bicep) Previous exposure to Machine Learning, Data Science or MLOps System Design More ❯

frameworks (e.g. LangChain, CrewAI, AutoGen) Promote responsible and ethical AI standards across solutions What You’ll Bring Strong background in software/platform/DevOps architecture with AI/ML exposure Experience in using Azure Open AI and/or AWS Bedrock Hands-on experience deploying agentic or autonomous AI systems in production. Proficiency in Python Excellent communicator with consulting … or client-facing experience Knowledge of AI governance, interpretability, and bias mitigation principles Desirable Familiarity with IaC (Terraform, Bicep) Previous exposure to Machine Learning, Data Science or MLOps System Design More ❯

Model Context Protocol. Develop internal tooling that supports AI-native workflows. Establish best practices for prompt engineering, model fine-tuning, and evaluation. Stay current with developments in AI/ML and apply relevant research to product needs. Participate in design reviews, code reviews, and incident response. Qualifications Bachelor’s degree in Computer Science, Engineering, or equivalent. Required Skills Software development … experience with proven expertise in at least one programming language (Python/Java/Typescript) with experience building APIs and integrating backend systems. Solid Machine Learning fundamentals. Model Context Protocol for managing context and tool interfaces for agents. LLM integration patterns, including prompt orchestration and tool calling. Retrieval-Augmented Generation (RAG) for dynamic context injection. Understanding of user More ❯

you’ll sit within the underwriting data science team, helping to develop and deploy high-impact climate and natural catastrophe models. Key Responsibilities Design and enhance statistical models and ML algorithms to better forecast weather and natural hazard risks (wildfires, hail, tsunamis, etc.) Build performant, scalable tools to price and monitor risk in real-world environments Translate client needs into … Prior experience (internship or full-time) in data science or climate risk modelling Strong grasp of statistical modelling and machine learning techniques Proficiency in Python and common ML libraries (e.g. scikit-learn) Curious, pragmatic, and driven to solve real-world problems with high social impact Passionate about the intersection of data science, insurance, and climate resilience If this More ❯

you’ll sit within the underwriting data science team, helping to develop and deploy high-impact climate and natural catastrophe models. Key Responsibilities Design and enhance statistical models and ML algorithms to better forecast weather and natural hazard risks (wildfires, hail, tsunamis, etc.) Build performant, scalable tools to price and monitor risk in real-world environments Translate client needs into … Prior experience (internship or full-time) in data science or climate risk modelling Strong grasp of statistical modelling and machine learning techniques Proficiency in Python and common ML libraries (e.g. scikit-learn) Curious, pragmatic, and driven to solve real-world problems with high social impact Passionate about the intersection of data science, insurance, and climate resilience If this More ❯

better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour … a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1–2 days onsite per week onsite in Central London. How to Apply: Please register your interest by sending your CV to More ❯

better understand their market position, optimise marketing spend, and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour … a global solution Requirements: MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Experience in Consumer/Marketing Analytics Strong proficiency in Python and experience with relevant ML libraries/frameworks. Please note: This role requires 1–2 days onsite per week onsite in Central London. How to Apply: Please register your interest by sending your CV to More ❯

services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging with C-level executives. Please note that this role does not offer More ❯

services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging with C-level executives. Please note that this role does not offer More ❯

years of development experience who thrives in a collaborative, office-based environment. Their core software product helps leading industrial organizations enhance asset performance by applying data science and machine learning to minimize waste and boost reliability. Full Stack Developer Opportunity Location: London (Office-based, collaborative team) Salary: £55,000 - £65,000 Industry: Data Analytics/Software Start: ASAP More ❯

implementing cloud-based data architectures (AWS, Azure, or Google Cloud). Strong analytical mindset with the ability to translate complex data insights into clear business impact. Working knowledge of machine learning and advanced analytics (e.g., TensorFlow, PyTorch, Scikit-learn). Exceptional stakeholder management skills, comfortable engaging with C-suite executives and senior investors. Strong knowledge of data governance More ❯

implementing cloud-based data architectures (AWS, Azure, or Google Cloud). Strong analytical mindset with the ability to translate complex data insights into clear business impact. Working knowledge of machine learning and advanced analytics (e.g., TensorFlow, PyTorch, Scikit-learn). Exceptional stakeholder management skills, comfortable engaging with C-suite executives and senior investors. Strong knowledge of data governance More ❯

end project delivery , including conceptualisation, commercialisation, and implementation of data and AI solutions. Strong understanding of data strategy, governance, and platform architecture . Demonstrable technical background in applying statistical, machine learning, or data science techniques to solve business problems, particularly in data quality or data validation. Experience with use case development and data monetisation is highly desirable. Exceptional More ❯

end project delivery , including conceptualisation, commercialisation, and implementation of data and AI solutions. Strong understanding of data strategy, governance, and platform architecture . Demonstrable technical background in applying statistical, machine learning, or data science techniques to solve business problems, particularly in data quality or data validation. Experience with use case development and data monetisation is highly desirable. Exceptional More ❯

AI. Our CEO, Danyal, has extensive experience in Private Equity and Investment Banking at top-tier institutions including AEA Investors, Citigroup, and Deutsche Bank. Our CTO, Callum, brings significant Machine Learning and AI experience from leading defense companies like QinetiQ and retail tech startups such as Standard AI. The entire team consists of early-stage startup veterans passionate More ❯

AI. Our CEO, Danyal, has extensive experience in Private Equity and Investment Banking at top-tier institutions including AEA Investors, Citigroup, and Deutsche Bank. Our CTO, Callum, brings significant Machine Learning and AI experience from leading defense companies like QinetiQ and retail tech startups such as Standard AI. The entire team consists of early-stage startup veterans passionate More ❯

cloud security (AWS; exposure to Azure, GCP, and on-premise environments also valuable). Areas of Knowledge/Skillset: Emergent Technology Governance Artificial Intelligence Data Security within AI Systems Machine Learning AI Operation Cyber recovery IT Infrastructure, Cloud Risk and Regulation Experience in financial services environments. Ability to work across both strategic (roadmaps, future planning) and tactical (delivery More ❯

cloud security (AWS; exposure to Azure, GCP, and on-premise environments also valuable). Areas of Knowledge/Skillset: Emergent Technology Governance Artificial Intelligence Data Security within AI Systems Machine Learning AI Operation Cyber recovery IT Infrastructure, Cloud Risk and Regulation Experience in financial services environments. Ability to work across both strategic (roadmaps, future planning) and tactical (delivery More ❯

domain. You are interested in doing research, trying new things and pushing the boundaries, going beyond what’s already known. You have experience in using most modern frameworks for machine learning and deep learning. You have great coding skills in Python and you care about writing clean code. You have experience with SDLC tools (Git), preferably CI/ More ❯

with distributed systems and cloud platforms Proficiency in database design (e.g. PostgreSQL) Familiarity with Docker, IaC tools (Terraform), and monitoring stacks Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven More ❯

a key project to modernise the UK energy market. They are seeking a Data Engineer to join the team and contribute to a cutting-edge platform for analytics and machine learning. They are looking for a skilled data engineer with experience in Databricks, Spark, and Python, who can deliver high-impact data products. This role offers the opportunity to More ❯