526 to 550 of 1,444 Machine Learning Jobs in London

decide on next steps. Own Your Responsibilities : Your work will directly affect our product and be deployed into production. What Were Looking For 2+ years of professional AI/ML engineering experience (or equivalent). Python expert with strong software engineering fundamentals. Experience with DevOps/ML Ops practices: CI/CD pipelines (e.g. GitHub Actions), containerisation (Docker), automated testing More ❯

First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution, The role operates globally in collaboration with teams engineering teams across core products. Technical Leadership - Provide strong technical leadership More ❯

First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution, The role operates globally in collaboration with teams engineering teams across core products. Technical Leadership - Provide strong technical leadership More ❯

the Data Engineering Manager , the Data Engineer will support and enhance the reliability of our research and analysis platform, which leverages open-source intelligence, data mining, network analysis, and machine learning to generate unparalleled insights on networks engaged in illicit financial activity. Key focus areas include system architecture, code quality, automation, and observability. To the right person, this More ❯

Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine Learning) Governance & Infrastructure: Centralised Data Catalogue & Access Control (Okta) Job Scheduling & Monitoring (AWS, Splunk) Agile Data Engineering with centralised code repositories BI Data Portal: Power BI However this coexists More ❯

Data Lake & Storage: Databricks Delta Lake, Amazon S3 Data Transformation: dbt Cloud Data Warehouse: Snowflake Analytics & Reporting: Power BI, Excel, Snowflake SQL REST API Advanced Analytics: Databricks (AI & Machine Learning) Governance & Infrastructure: Centralised Data Catalogue & Access Control (Okta) Job Scheduling & Monitoring (AWS, Splunk) Agile Data Engineering with centralised code repositories BI Data Portal: Power BI However this coexists More ❯

the transportation and operations either from a business or technical position - Experience with AWS Services and products (S3, Redshift, AuroraDB, DynamoDB, Lambda, EC2 etc.) - Experience in Data Science and Machine Learning - Experience in Software development, DevOps and software frameworks (Django, React etc.) - Ability to own and lead workshops and weekly status updates with business stakeholders Amazon is an More ❯

Azure Experience of handling information security and privacy challenges Interest and awareness in emerging technologies In addition, the following experience would be valuable: An appreciation of Artificial Intelligence and Machine Learning Academic and prior experience A university degree, 2:1 (or equivalent) or above is usually preferred, however we would be open to outstanding candidates who may have More ❯

socket programming, test automation framework design and development, etc. • You will spend efforts studying and designing the new methodologies and techniques to facilitate testing, including the state-of-art Machine Learning and Deep Learning methods. Basic qualifications • Experience in manual testing and automated testing • 1+ year of experience working as a Quality Assurance Engineer • Bachelor's degree More ❯

to drive safer roads and fairer insurance through data. The Telematics team transforms raw phone sensor data into meaningful insights about how people drive. Using advanced signal processing and machine learning, we process high-frequency data to extract behavioural signals that power our understanding of driving quality, context, and risk. About the Role As a Senior Data Scientist … you will be doing Design and build robust behavioural features and factors from telematics data. Develop end-to-end pipelines in Python and SQL, from quick heuristics to full ML models. Prioritise simple, robust solutions that scale, whether rule-based or ML-driven. Collaborate with Software Engineers and Product Managers to deploy features and validate impact. Lead experiments, explore new … translate ambiguous problems into structured, testable ideas and share insights across technical and non-technical teams. A growth mindset: you're curious, open to feedback, and driven to keep learning and improving. Nice to Have Experience working with noisy, high-frequency, or sensor/time-series data (e.g. GPS, accelerometer), and making sense of it. Experience with digital signal More ❯

you'll help build a fairer credit system. The Role We're looking for an experienced MLOps Engineer for a 3-month contract to lead the development of our ML deployment, testing, monitoring, and feature engineering pipelines . You'll be responsible for establishing best practices and production-grade systems to support our machine learning workflows from training … ensure stability and quality. - Establish model monitoring and alerting frameworks for real-time and batch inference (e.g., model drift detection, performance degradation). - Build CI/CD pipelines for ML workflows (training, evaluation, deployment), integrating with tools such as GitHub Actions , CodePipeline , or Jenkins . - Create internal documentation and onboarding guides for engineering and data teams to adopt new MLOps … practices. What We're Looking For - 3+ years of experience in MLOps, DevOps, or ML infrastructure roles. - Deep familiarity with AWS services , especially SageMaker , S3, Lambda, CloudWatch, IAM, and optionally Glue or Athena. - Strong experience with MLflow , experiment tracking , and model versioning. - Proven experience setting up and managing a feature store , and driving best practices for feature engineering in production More ❯

to process real-time and historical data for audience segmentation. Identity Resolution : Lead the integration of identity resolution solutions to unify first- and third-party data sources. AI/ML Integration : Apply machine learning models to enhance audience classification and predictive targeting. Cross-Functional Collaboration : Partner with AdOps, Sales, and Strategy teams to align data capabilities with campaign … e.g., LiveRamp, Adobe, or custom solutions). Strong programming skills in Python or similar languages. Deep understanding of programmatic advertising ecosystems and privacy regulations (e.g., GDPR). Experience applying ML/AI for segmentation or targeting. Excellent communication skills We Are Aspire Ltd are a Disability Confident Commited employer More ❯

workflow capabilities. The ideal candidate thrives in a highly technical role and will design and develop software using cutting edge technologies consisting of web applications, data pipelines, big data, machine learning and multi-cloud. Active participation in all scrum ceremonies, follow AGILE best practices effectively. Play a key role in the development team to build high-quality, high … Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing More ❯

behavior. Develop predictive models to forecast customer activities and trends. Collaborate with cross-functional teams to implement data-driven strategies. Define and track key performance indicators (KPIs). Utilize machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: Master's or … B tests. Familiarity with Bayesian statistics, especially for hypothesis testing. Extra points for good knowledge of Bayesian programming (PyMC3, etc). Experience with application of optimization theory or reinforcement learning based on automated A/B testing. Projects you might expect to work on: Predicting future expected value and future potential value of individual customers. Real-time prediction of … work from home per quarter (during your first 3 months, you'll be in the office full-time). Benefits & Perks: Monthly meal allowance. Gym allowance. Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training. Support for New Parents: - 52 weeks of maternity leave, with 21 weeks being fully paid. More ❯

Delta Live Tables. Collaborate with stakeholders to define technical requirements and propose Databricks-based solutions. Drive best practices for data engineering. Help clients realise the potential of data science, machine learning, and scaled data processing within Azure/Databricks ecosystem. Mentor junior engineers and support their personal development. Take ownership for the delivery of core solution components. Support More ❯

and visualisation Communicate insights clearly to all audiences Mentor junior team members and support capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL More ❯

and visualisation Communicate insights clearly to all audiences Mentor junior team members and support capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL More ❯

we want from you: Relevant consulting experience, ideally within management or technology consultancy, with a proven track record of successful end-to-end project delivery Technical understanding of AI, machine learning and combinatorial optimisation methods (e.g., solving NP-hard problems) Hands-on experience collaborating with technical experts—data scientists, optimisation specialists and engineers—to translate client needs into More ❯

security Collaborate with business analysts, data scientists, and stakeholders across underwriting, finance, and ops Contribute to solution design, development assurance, and platform evolution Support delivery of data models, APIs, ML integrations, and reporting tools Key Skills: Hands on experience designing and delivering solutions using Azure services including Azure Data Factory, Azure Databricks, Azure Synapse, Azure Storage, Azure DevOps. Proven track 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 ❯

them. To meet the growing demand for AWS Services around the globe, we need exceptionally motivated people who are driven by learning and innovation. The AWS AI/ML team helps to support and operate some of the most comprehensive artificial intelligence and machine learning services in the world. From SageMaker to Bedrock to Amazon Q, the … AI/ML team manage some of the most exciting, rapidly evolving services in AWS. If you join us, you'll be part of a world-class team in a dynamic environment that has the entrepreneurial feel of a start-up. This is an opportunity to operate and engineer systems on a massive scale and to gain world class experience … in cloud computing, artificial intelligence and machine learning. You'll be surrounded by people who are passionate about their field, believe that first class service is critical to customer success and are committed to rapid iteration and continual improvement. Top reasons to join our team: • Be a catalyst to deliver truly disruptive products that are growing rapidly • Define, build 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 ❯

practices for distributed systems. Strong written and verbal communication skills. Problem-solver with a proactive mindset. Bonus Skills: Experience with Snowflake for data warehousing and data operations. Exposure to ML Ops practices and machine learning deployment. Familiarity with security tools, vulnerability scanners, and compliance frameworks. Experience with other IaC or configuration tools (e.g., Ansible, Chef, Puppet). Understanding 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 ❯