801 to 825 of 1,964 Machine Learning Jobs in London

CFA Certification or progress toward completion. Familiarity with third-party credit platforms (e.g., Bloomberg, FactSet, MSCI). Experience with data visualization tools (e.g., Tableau, Power BI). Exposure to machine learning or AI frameworks in financial modeling is a plus. A collaborative, team-oriented mindset with a passion for continuous learning and innovation. PGIM welcomes all applicants More ❯

engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity. You will have a technical background in Data Engineering or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our largest customers across all vertical sectors, focusing on establishing the Databricks Data Intelligence Platform as their platform of More ❯

needs into engineering solutions for government or enterprise clients Strong engineering background in areas like Computer Science, Mathematics, Software Engineering, Physics, or Data Science Experience in Software Engineering or Machine Learning Preferred Qualifications Experience partnering with engineering teams to design, scope, and deploy complex AI solutions Background working with National Security customers, ideally as a former end-user More ❯

in complex customer interactions and sales lifecycle in a technical pre-sales capacity. You will have a technical background in Data Engineering (DE) or Data Warehousing (DWH) or a Machine Learning/AI background You will be working with our largest customers across Retail or Consumer Package Goods (CPG) vertical sectors, focusing on establishing the Databricks Data Intelligence More ❯

ensure high availability and performance of our applications. Security: Ensure robust security practices and compliance throughout our infrastructure and deployment processes. Collaboration: Work closely with software engineers, AI/ML engineers, and other stakeholders to support development and operations needs. Automation: Automate repetitive tasks and improve overall efficiency through the use of scripting and configuration management tools (Ansible, Terraform, etc. More ❯

Senior GenAI Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed GenAI development life cycle to enable the building and maintenance of our ML systems. Our teams make extensive use of open source technologies such as Kubernetes, KServe, MCP, Envoy AI Gateway, Buildpacks and other cloud-native and GenAI technologies. From technical governance to More ❯

with AWS/GCP/Azure, Postgres/MySQL, and Redis. Microservices & DevOps : Solid grasp of microservices, Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, Jenkins) AI/ML Foundations : Familiarity (or eagerness to learn) LLM libraries, vector stores, and RAG paradigms Sector specific knowledge: Experience with financial data systems or forecasting models Communication & Collaboration : Skilled at articulating technical More ❯

as Datadog Hands-on experience in test artefact creation, Test management and Defect Management testing tools Specific training or certifications in Quality Assurance is preferred Experience validating AI/ML data pipelines, models, and/or AI-augmented data solutions. Strong analytical and problem-solving skills with attention to detail. Boston Consulting Group is an Equal Opportunity Employer. All qualified More ❯

principles Experience with IaC and DevOps tooling such Terraform, Packer, Ansible, Chef, Gitlab Experience with containerization technologies and orchestration tools Familiarity with data preprocessing and feature engineering techniques for ML model training. Familiarity with MLOps tooling Benefits Be part of a creative, world-leading team Competitive salary and share options scheme Contributory pension scheme Private Medical Insurance Life Assurance Cycle More ❯

exposure to Blue, Athena, Genesis, and EEL pipelines is highly desirable. Consulting background preferred, with a focus on delivering high-quality solutions and adding value to clients. Knowledge of ML Ops and machine learning concepts is a plus - If not, you will get exposure in this role! If you are someone who really quality controls your output and More ❯

provide deep customer insights, predict behaviour, and enable hyper-targeted marketing. Responsibilities: Lead the organization’s data science initiatives, developing advanced analytics strategies, and driving innovation through AI and machine learning Develop and implement the company’s data science strategy to drive business growth. Stay ahead of emerging trends in … data science, AI, and big data technologies. Challenge the status quo and always look for ways to improve data science Oversee the development, deployment, and optimisation of AI/ML models. Partner with business leaders to identify key challenges and opportunities. Requirements: PhD or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proven leadership … a data science or AI-driven organization. Proficient in Python (core skill), with strong experience in SQL, AWS, and CI/CD pipelines Strong technical expertise in AI/ML and advanced analytics. Excellent problem-solving, communication, and stakeholder management skills. Strategic vision and business acumen. **Please note that this role does not offer visa sponsorship** How to Apply: Register More ❯

provide deep customer insights, predict behaviour, and enable hyper-targeted marketing. Responsibilities: Lead the organization’s data science initiatives, developing advanced analytics strategies, and driving innovation through AI and machine learning Develop and implement the company’s data science strategy to drive business growth. Stay ahead of emerging trends in … data science, AI, and big data technologies. Challenge the status quo and always look for ways to improve data science Oversee the development, deployment, and optimisation of AI/ML models. Partner with business leaders to identify key challenges and opportunities. Requirements: PhD or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proven leadership … a data science or AI-driven organization. Proficient in Python (core skill), with strong experience in SQL, AWS, and CI/CD pipelines Strong technical expertise in AI/ML and advanced analytics. Excellent problem-solving, communication, and stakeholder management skills. Strategic vision and business acumen. **Please note that this role does not offer visa sponsorship** How to Apply: Register More ❯

when the right vacancy comes along. The Data & Science Org At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to … working from home and a parent-friendly working culture Access to free mortgage advice Cycle to Work Scheme or Season Ticket Loans, depending how you wish to travel Excellent learning and development opportunities and access to RooLearn, our learning platform, packed with high-quality training and content Regular Employee Resource Group (ERG) led social events - examples include dinners More ❯

real-time availability. You will establish robust monitoring and alerting mechanisms to proactively surface issues and maintain seamless operations at scale. Harness advanced analytics, statistical modeling, and AI/ML tools to extract transformative insights. Your strategic analyses will uncover root causes, influence high-stakes decisions, and inform the executive roadmap with clarity and precision. Design and deliver mission-critical … Industry experience in payments, in a technical, operational, or strategic leadership role - preferably within a payment service provider, fintech, or financial institution. Proven track record of leveraging advanced analytics, machine learning, and artificial intelligence to identify growth opportunities, streamline operations, and optimize cost structures. Our Benefits: 34 days of vacation (including public holidays) Group private medical insurance Group … pension (6% contributed) and group income protection Employee Stock Purchase Plan (ESPP) Mental Health & Family Forming Benefits Learning and Development Benefits We are committed to nondiscrimination across our global organization and in all of our business operations. Employment is determined based upon personal capabilities and qualifications without discrimination on the basis of race, creed, color, religion, sex, gender identification More ❯

II, Selection Monitoring Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. In order to drive expansion of the Amazon catalog, we use machine learning and cluster-computing technologies to process billions of products and algorithmically find products not already sold on Amazon. We work with structured, semi-structured and Visually Rich … problems - Efficiently Crawl web, Automate extraction of relevant information from large amounts of Visually Rich Documents and optimize key processes - Design, develop, evaluate and deploy, innovative and highly scalable ML models - Work closely with software engineering teams to drive real-time model implementations - Establish scalable, efficient, automated processes for large scale model development, model validation and model maintenance - Leading projects … and mentoring other scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical 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 ❯

applications. Build and optimise performant data pipelines using Polars, FastAPI, and Python, ensuring fast response times and efficient memory usage. Collaborate closely with front end engineers, product managers, and machine learning engineers to deliver seamless, user-focused features. Implement API-first architecture practices, with careful attention to schema design, versioning, and documentation. Work across the AWS stack, deploying … unlock the full value of data and AI-driven insights. Behind every insight we deliver is a fast, reliable, and intelligent API infrastructure-designed to serve curated data and machine-generated intelligence in milliseconds. You'll be working with a modern Python stack to build the systems that make this possible: robust data services, scalable APIs, and infrastructure that … or Fastify and up-to-date with modern Python best practices, including tools such as Ruff, UV and PyEnv. Experience working on data-heavy platforms or with AI/ML outputs exposed via APIs Proficient in designing, building, and scaling RESTful APIs (GraphQL experience is a bonus). Strong knowledge of cloud infrastructure, especially the AWS stack (Lambda, ECS, S3 More ❯

improve the lives of people in financial difficulty at scale.The data team sits at the heart of Ophelos and is responsible for developing: The Ophelos Decision Engine - a reinforcement learning algorithm that determines the most effective actions for each customer, enhancing results and minimising unwanted interactions OphelosGPT - our generative AI model for empathetic, context-aware customer communication Advanced NLP … we aim to scale our LLM-powered products, run extensive feature experimentation and upgrade our decisioning engine In this role, you'll get to: Take ownership of high-impact ML and LLM features from ideation through to production deployment Design and run feature experimentation and A/B testing to optimise model performance and product outcomes Research, prototype, and productionise … we are looking for someone with: Strong Python skills, particularly within the data science ecosystem (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow, visualisation libraries) 4+ years of experience delivering machine learning products end-to-end in production Hands-on experience with LLMs - fine-tuning, prompt engineering, vector databases, or RAG pipelines Proven experience with A/B testing 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 ❯

platforms (AWS, Azure, or GCP) and big data environments. MBA or other relevant advanced degree. What We Offer Access to cutting-edge tools and world-class training in AI, machine learning, and advanced analytics. A collaborative culture that values diversity of thought and innovation. Opportunities to work with Fortune 500 clients and tackle real-world marketing challenges . … and partners to enable delivery of the outstanding services we are known for. Please note that with all our roles, you should expect some in-person time for collaboration, learning and building rapport with clients, peers, leaders and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. Accenture is … their best work. At Accenture, we see well-being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces. Join Accenture to work at the heart of change. Visit More ❯

delivering working systems from prototypes and high-level specs taking ideas from the research team, turning them into production-quality systems, and shipping them quickly.Youll work closely with researchers, ML engineers, and leadership to turn ambitious ideas into real products. You'll be expected to move fast, handle ambiguity, and fill the critical execution gap between research and production. This … into production-quality software Own deliverables end-to-end: take specifications, clarify requirements, and execute to completion Build systems that are correct, reliable, maintainable, and performant Work closely with ML researchers and engineers to integrate research outputs into functional systems Own critical engineering tasks with high standards and attention to detail data pipelines, API integrations, testing, error handling, system integration … and correctness Comfortable in fast-moving, ambiguous environments where priorities shift quickly Bias for ownership: you see what needs to get done and take responsibility for delivering Experience supporting ML research or building ML infrastructure is a plus What We Offer Competitive salary and early-stage equity package A high-trust, execution-first culture with minimal bureaucracy Direct ownership of More ❯

delivering working systems from prototypes and high-level specs taking ideas from the research team, turning them into production-quality systems, and shipping them quickly.Youll work closely with researchers, ML engineers, and leadership to turn ambitious ideas into real products. You'll be expected to move fast, handle ambiguity, and fill the critical execution gap between research and production. This … into production-quality software Own deliverables end-to-end: take specifications, clarify requirements, and execute to completion Build systems that are correct, reliable, maintainable, and performant Work closely with ML researchers and engineers to integrate research outputs into functional systems Own critical engineering tasks with high standards and attention to detail data pipelines, API integrations, testing, error handling, system integration … and correctness Comfortable in fast-moving, ambiguous environments where priorities shift quickly Bias for ownership: you see what needs to get done and take responsibility for delivering Experience supporting ML research or building ML infrastructure is a plus What We Offer Competitive salary and early-stage equity package A high-trust, execution-first culture with minimal bureaucracy Direct ownership of More ❯

the engineering solution. Skills, knowledge and expertise We seek candidates with a range of skills and experience; please apply even if you don't meet all criteria. Enthusiasm for learning and self-development Proficiency in Git (including Github Actions) and understanding of branch strategies Experience gathering and meeting requirements from clients and users on data projects Strong experience in … Docker and virtual environments in CI/CD Engaging with senior stakeholders for requirements gathering Collaborating with engineers via pair or mob programming Working with data scientists to productionize machine learning models Knowledge of statistics Collaborating across multidisciplinary teams Experience within the public sector Support in applying If you need this job description in another format or require More ❯

working systems from prototypes and high-level specs taking ideas from the research team, turning them into production-quality systems, and shipping them quickly. Youll work closely with researchers, ML engineers, and leadership to turn ambitious ideas into real products. You'll be expected to move fast, handle ambiguity, and fill the critical execution gap between research and production. This … into production-quality software Own deliverables end-to-end: take specifications, clarify requirements, and execute to completion Build systems that are correct, reliable, maintainable, and performant Work closely with ML researchers and engineers to integrate research outputs into functional systems Own critical engineering tasks with high standards and attention to detail data pipelines, API integrations, testing, error handling, system integration … and correctness Comfortable in fast-moving, ambiguous environments where priorities shift quickly Bias for ownership: you see what needs to get done and take responsibility for delivering Experience supporting ML research or building ML infrastructure is a plus What We Offer Competitive salary and early-stage equity package A high-trust, execution-first culture with minimal bureaucracy Direct ownership of More ❯