326 to 350 of 923 Machine Learning Jobs in London

on cloud/remote systems, Git workflows, and CI/CD tools like Jenkins. Proficiency in at least one programming language: Java, Scala, Python. Basic understanding of AI and machine learning concepts to support intelligent data processing and troubleshoot related platform components. Nice to have Proven incident management skills, with the ability to manage the support lifecycle independently. More ❯

Strong architectural understanding across AWS, Azure, GCP , and Snowflake Familiarity with Apache Spark, SQL/NoSQL databases, and programming (Python, R, Java) Knowledge of data visualisation, DevOps principles, and ML/AI integration into data architectures Strong grasp of data governance, security, and regulatory compliance (GDPR, HIPAA, etc.) Exceptional communication and stakeholder engagement skills Bonus Points For: Experience with CI More ❯

risk, sales, marketing, and operational leaders to ensure alignment and maximise the strategic value of data across all company priorities. Culture & Excellence: Cultivate a vibrant culture of curiosity, continuous learning, and technical excellence within your team. Stay abreast of industry trends and best practices in analytics, experimentation, and behavioural science, encouraging your team to do the same. Proactively problem … team-wide projects, effectively bringing teams together to plan solutions around problems using OKRs and KPIs that deliver tangible impact. Advanced Analytics: Practical experience using and applying AI/machine learning techniques and building predictive models to generate deeper insights. At Funding Circle we are committed to building diverse teams so please apply even if your past experience … Cover, financial coaching through Octopus Money Coach, a tax-advantaged share scheme, a free mortgage advisor partnership and discounts across numerous retailers through Perks at Work. Development: Dedicated annual Learning & Development allowance and full access to internal learning platform. Lifestyle: Electric Car Scheme, Cycle to Work scheme, Season Ticket Loans, and more! And finally, we have award winning More ❯

it, how to store it, how to structure it, how to transform it, and how to consume it for data-centric functionality including data APIs, data monetisation, Gen AI, machine learning, management information, and reporting. Joining Deloitte provides access to strong training and learning opportunities. You will work in fast-paced teams with talented, motivated colleagues and More ❯

language querying, automated insights) to enhance stakeholder engagement. Champion self-service analytics, enabling business teams to explore data confidently without over-reliance on BI specialists. Use advanced statistical and machine learning techniques to identify trends, forecast outcomes, and surface revenue-generation opportunities. Stay at the forefront of AI/BI technology trends, evaluating and deploying emerging tools that … streaming analytics for faster operational decision-making. Leadership & Stakeholder Engagement Lead, mentor, and develop a team of BI developers, data analysts, and product owners. Foster a culture of continuous learning, innovation, and data literacy across the business. Collaborate cross-functionally with IT, Marketing, Sales, Finance, and Operations to ensure analytics is embedded in decision-making. About You Required Skills … DAX), and Power Query skills, with a deep understanding of data modelling and semantic modelling best practices. Extensive experience with Azure Synapse, Azure Data Lake/OneLake, and Azure ML Studio. Proficiency in Python for data analysis, automation, exposure to machine learning. Familiarity with CI/CD for data models, Git-based version control, and automated testing frameworks. Exposure More ❯

apply advanced machine learning techniques to improve underwriting quality and enhance financial product offerings. Key Responsibilities Build and refine credit risk models using state-of-the-art ML techniques. Translate business challenges into data-driven solutions. Deploy and monitor models autonomously, without reliance on a separate ML engineering team. Clearly communicate insights and recommendations to stakeholders. What We … re Looking For Strong Python experience, with knowledge of ML techniques. Familiarity with the credit industry, financial products, and data-driven risk modelling. Experience across Credit modelling, lending, PoD etc Strong educational background from a top university in a STEM subject A proactive problem solver who thrives in a fast-paced environment. Strong communication skills and a collaborative mindset. Interest … in ML engineering and data engineering. Strong SQL skills. If this role looks of interest to you, please apply below, or reach out to Joseph Gregory More ❯

apply advanced machine learning techniques to improve underwriting quality and enhance financial product offerings. Key Responsibilities Build and refine credit risk models using state-of-the-art ML techniques. Translate business challenges into data-driven solutions. Deploy and monitor models autonomously, without reliance on a separate ML engineering team. Clearly communicate insights and recommendations to stakeholders. What We … re Looking For Strong Python experience, with knowledge of ML techniques. Familiarity with the credit industry, financial products, and data-driven risk modelling. Experience across Credit modelling, lending, PoD etc Strong educational background from a top university in a STEM subject A proactive problem solver who thrives in a fast-paced environment. Strong communication skills and a collaborative mindset. Interest … in ML engineering and data engineering. Strong SQL skills. If this role looks of interest to you, please apply below, or reach out to Joseph Gregory More ❯

that may restrict the use of cloud-based or internet-connected AI services. You will collaborate closely with cross-functional teams to shape the roadmap and execution of offline machine learning models and governed AI capabilities designed for highly regulated environments. You will also play a key role in advancing adoption of the Model Context Protocol (MCP), ensuring … maintainability. Required Skills, Experience & Values: The successful candidate will possess the following skills, abilities and experience: 3+ years of product management or product ownership experience, ideally in AI/ML or data-driven products. Degree in Computer Science, Engineering, Data Science, or a related field. Solid understanding of AI/ML concepts, pipelines, and constraints. Experience working closely with data … fast-paced, iterative, and agile environment. Preferred Experience: Solid understanding of cyber security concepts such as threat detection, SIEM, anomaly detection, and incident response. Experience with tools for tracking ML models in production (e.g., MLflow). We encourage you to apply even if your experience is not a 100% match with the position. We are looking for someone with relevant More ❯

solutions for pricing financial securities and delivering unrivaled valuations and reference data to major sell-side and buy-side institutions. The Impact: The team leverages cloud technologies and diverse machine learning techniques to build and scale solutions which can process and deliver millions of data points within strict client SLAs so that our clients can get insightful information … worldwide and strive to build a more prosperous future for all. Benefits Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off. Continuous Learning: Access to resources to grow your career. Invest in Your Future: Competitive pay, retirement planning, education support, and financial wellness programs. Family Friendly Perks: Perks for partners and dependents. More ❯

in data analysis tools and programming languages such as Python, R, or SQL. Experience with visualisation platforms (Tableau, Power BI) and a talent for storytelling with data. Knowledge of machine learning, AI, or agile methodologies is advantageous. Why Join Us? This role offers the chance to influence strategic decisions at the highest level, work on high-impact projects More ❯

in data analysis tools and programming languages such as Python, R, or SQL. Experience with visualisation platforms (Tableau, Power BI) and a talent for storytelling with data. Knowledge of machine learning, AI, or agile methodologies is advantageous. Why Join Us? This role offers the chance to influence strategic decisions at the highest level, work on high-impact projects More ❯

in data analysis tools and programming languages such as Python, R, or SQL. Experience with visualisation platforms (Tableau, Power BI) and a talent for storytelling with data. Knowledge of machine learning, AI, or agile methodologies is advantageous. Why Join Us? This role offers the chance to influence strategic decisions at the highest level, work on high-impact projects More ❯

in data analysis tools and programming languages such as Python, R, or SQL. Experience with visualisation platforms (Tableau, Power BI) and a talent for storytelling with data. Knowledge of machine learning, AI, or agile methodologies is advantageous. Why Join Us? This role offers the chance to influence strategic decisions at the highest level, work on high-impact projects More ❯

role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure) Exposure to Jupyter notebooks , and understanding of how machine learning models are developed and deployed Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree in a quantitative or More ❯

role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud deployment (Terraform, microservices, Azure) Exposure to Jupyter notebooks , and understanding of how machine learning models are developed and deployed Experience in fast-paced or start-up environments where you’ve contributed across the stack Background & Education Degree in a quantitative or More ❯

BDD, Performance/Load testing etc. " DevOps experience - CI/CD, Test Automation, Containerization - tools and processes " Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. " In-depth, hands-on experience in developing web/mobile applications or platform with either Java/J2EE or .NET tech stack and database technologies such More ❯

pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. At Goldman Sachs, our culture is one of teamwork, innovation and meritocracy. We often say our people are More ❯

databases and data modelling (Data Vault, Dimensional) Proficiency with ETL tools and cloud platforms (AWS, Azure or GCP) Experience working in Agile and DevOps environments Knowledge of AI/ML applications in data workflows is desirable Familiarity with visualisation tools like Power BI, Tableau, or Qlik More ❯

and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and More ❯

and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and More ❯

and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and More ❯

and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and More ❯

and static code analysis tools (e.g. SonarQube) Agile methodologies (Scrum, Kanban, Lean) Desirable Skills Cloud platforms: AWS, Azure Containerisation: Docker, Kubernetes Machine Learning frameworks (AWS/Azure ML, TensorFlow) Relational, document, or graph databases Configuration management and deployment (Ansible) If you are a DV-clearable Senior Platform Engineer ready to make your expertise count in a challenging and More ❯

Key Responsibilities Design and build high-performance tools and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure. Develop platform-level test solutions and automation frameworks using Python, Terraform, and modern cloud-native practices. Contribute to the platform’s CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks at every … stage. Lead initiatives that drive testability, platform resilience, and validation as code across all layers of the ML platform stack. Collaborate with engineering, MLOps, and infrastructure teams to embed quality engineering deeply into platform components. Build reusable components that support scalability, modularity, and self-service quality tooling. Mentor junior engineers and influence technical standards across the Test Engineering Program. Required … Infrastructure as Code using Terraform to manage and provision cloud infrastructure. Strong understanding of software engineering best practices: code quality, reliability, performance optimization, and observability. Preferred Qualifications Exposure to machine learning workflows, model lifecycle management, or data engineering platforms. Experience with distributed systems, event-driven architectures (e.g., Kafka), and big data platforms (e.g., Spark, Databricks). Familiarity with More ❯

internal expert on Data and AI, the Director collaborates with executive colleagues to develop data-enabled solutions for strategic challenges and influences the adoption of advanced technologies such as machine learning, generative AI, and digital twins. They must communicate effectively with both technical and non-technical audiences. Externally, the role involves engaging with the board, shareholders, and regulators … Deep expertise in data strategy, governance, architecture, and enterprise data platforms. Extensive experience delivering large data programmes, ideally alongside CRM or ERP transformations. Strong technical knowledge of AI/ML, cloud data platforms, and visualization tools like Power BI and Azure. Excellent strategic thinking and problem-solving skills, translating business goals into data-driven solutions. Effective communicator with the ability More ❯