301 to 325 of 772 Machine Learning Jobs in the City of London

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots More ❯

This role will play a key part in developing the tools, infrastructure and analytics that drive the firm’s ESG and sustainability capabilities. Key Responsibilities: Build analytics tools and machine learning models to assess ESG and sustainability characteristics of companies Design and implement scalable, high-performance sustainability data systems and infrastructure Develop, maintain and enhance dashboards and tools More ❯

This role will play a key part in developing the tools, infrastructure and analytics that drive the firm’s ESG and sustainability capabilities. Key Responsibilities: Build analytics tools and machine learning models to assess ESG and sustainability characteristics of companies Design and implement scalable, high-performance sustainability data systems and infrastructure Develop, maintain and enhance dashboards and tools More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with More ❯

intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Bonus points if you have exposure to MLOps tools and workflows. Passion for Cutting-Edge AI – You actively experiment with More ❯

of the UK’s most exciting Intelligent Automation companies, powering content for a huge number of brands globally, optimising how they distribute and monetise content, whilst using cutting-edge machine learning and predictive AI. The Role As Head of Engineering, you’ll lead a lean, high-performing tea, bringing structure and technical direction to a fast-paced, product More ❯

of the UK’s most exciting Intelligent Automation companies, powering content for a huge number of brands globally, optimising how they distribute and monetise content, whilst using cutting-edge machine learning and predictive AI. The Role As Head of Engineering, you’ll lead a lean, high-performing tea, bringing structure and technical direction to a fast-paced, product More ❯

processes that can be enhanced through AI tools. Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. Skilled in using LangChain, LangGraph, vector databases, and prompt engineering. More ❯

containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning frameworks (e.g. PyTorch, TensorFlow, or similar). Interest in AI-driven automation, predictive analytics , and intelligent risk modelling . Experience with Rust , WebAssembly , or cross-runtime architectures More ❯

processes that can be enhanced through AI tools. Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. Skilled in using LangChain, LangGraph, vector databases, and prompt engineering. More ❯

containerisation (Kubernetes, Docker) and modern DevOps practices . Experience in front-office risk, trading, or analytics systems within financial markets. Desirable/Highly Valued Skills: Exposure to AI and machine learning frameworks (e.g. PyTorch, TensorFlow, or similar). Interest in AI-driven automation, predictive analytics , and intelligent risk modelling . Experience with Rust , WebAssembly , or cross-runtime architectures More ❯

such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects More ❯

such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects More ❯

footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

client hosts a modern tech stack and the successful candidate will be responsible for driving future state investment solutions, enhancing productivity through automation, and will leverage Gen AI and ML techniques to drive efficiencies. Key skills required for this role as follows: Extensive experience in the asset management industry, specifically within Fixed Income, and specifically within front office. Strong understanding More ❯

client hosts a modern tech stack and the successful candidate will be responsible for driving future state investment solutions, enhancing productivity through automation, and will leverage Gen AI and ML techniques to drive efficiencies. Key skills required for this role as follows: Extensive experience in the asset management industry, specifically within Fixed Income, and specifically within front office. Strong understanding More ❯

target data architecture for current and newly merged businesses Leading a lean, high-performing Data function (staying ~20% hands-on), partnering closely with C- Suite Owning the AI/ML roadmap, including for insights, automation and driving measurable business outcomes To be successful in this role, you will need: Strong proven experience running data teams and managing data technology strategy More ❯

target data architecture for current and newly merged businesses Leading a lean, high-performing Data function (staying ~20% hands-on), partnering closely with C- Suite Owning the AI/ML roadmap, including for insights, automation and driving measurable business outcomes To be successful in this role, you will need: Strong proven experience running data teams and managing data technology strategy More ❯

years’ experience across forensics, fraud, risk, or compliance analytics Demonstrable consulting or cross-functional delivery experience in FS or fintech Proven leadership of technical or investigative teams Familiarity with ML, LLMs, or automation in regulatory or fraud contexts Experience in data engineering and AI technologies (Added bonus: Python, Azure, ETL) Key Details Location: London (2–3 days/week in More ❯

years’ experience across forensics, fraud, risk, or compliance analytics Demonstrable consulting or cross-functional delivery experience in FS or fintech Proven leadership of technical or investigative teams Familiarity with ML, LLMs, or automation in regulatory or fraud contexts Experience in data engineering and AI technologies (Added bonus: Python, Azure, ETL) Key Details Location: London (2–3 days/week in More ❯

Build, Jenkins, GitHub Actions. Proven experience with Terraform and other IaC tools. Experience in multi-cloud environments . Familiarity with monitoring tools such as Prometheus Exposure to AI/ML infrastructure and data workflows in financial services. More ❯

Build, Jenkins, GitHub Actions. Proven experience with Terraform and other IaC tools. Experience in multi-cloud environments . Familiarity with monitoring tools such as Prometheus Exposure to AI/ML infrastructure and data workflows in financial services. More ❯

including cloud warehouses, APIs, and operational systems Define semantic layers using dbt and Delta Live Tables to ensure consistency across analytics and AI use cases Enable Generative AI and ML workloads by designing pipelines for vector search, RAG, and feature engineering Implement secure access and governance controls including RBAC, SSO, token policies, and pseudonymisation frameworks Support batch and streaming data More ❯

effective GenAI systems leveraging cloud platforms (Azure, AWS, GCP). Define integration patterns with existing enterprise systems (ERP, CRM, data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model providers (OpenAI, Anthropic, Mistral, etc.). Lead PoCs and pilot deployments, ensuring alignment More ❯