1,051 to 1,075 of 2,224 Machine Learning Jobs in London

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 … design and evaluation of A/B tests. Familiarity with Bayesian statistics, especially for hypothesis testing. 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 … level customer segmentation driven by predictive models. Here's what we offer: 25 days of annual leave. 5 days of sick leave. Access to learning resources (Udemy, LinkedIn, O'Reilly). At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally More ❯

improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What You'll Do Teradata's comprehensive suite of AI/ML technologies and capabilities, externally branded as ClearScape Analytics, enable the largest and most analytically sophisticated organizations in the world operationalize analytics at-scale on the … in business or analytics related field. 8-12 years of experience selling, consulting and/or leveraging software & services specifically in the AI/ML and data analytics space Demonstrated success in developing and managing complex enterprise software sales and/or large account relationships in the focus industry. Proven … selling statistical, machine learning, text, path, AI, etc. AI &/or GenAI solutions Has awareness and comprehension of the latest AI/ML & GenAI analytics techniques and how they apply to business decisions. Possesses excellent presentation, communication, and interpersonal skills Thrives in teamwork environment, is collaborative and recognizes More ❯

improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What You'll Do Teradata's comprehensive suite of AI/ML technologies and capabilities, externally branded as ClearScape Analytics, enable the largest and most analytically sophisticated organizations in the world operationalize analytics at-scale on the … in business or analytics related field. 8-12 years of experience selling, consulting and/or leveraging software & services specifically in the AI/ML and data analytics space Demonstrated success in developing and managing complex enterprise software sales and/or large account relationships in the focus industry. Proven … selling statistical, machine learning, text, path, AI, etc. AI &/or GenAI solutions Has awareness and comprehension of the latest AI/ML & GenAI analytics techniques and how they apply to business decisions. Possesses excellent presentation, communication, and interpersonal skills Thrives in teamwork environment, is collaborative and recognizes More ❯

comes along. The Data & Science Org At Deliveroo, we have an outstanding data science organization with a mission to enable high-quality human and machine decision-making. We collaborate across the company-product, business, and platform teams-using analysis, experimentation, causal inference, and machine learning techniques. We … data science management team. We have an active community with guest lecturers, study groups, mentorship programs, and a robust technical review process, providing many learning opportunities. Data Scientists can advance as technical leads or as people managers. Our data scientists come from diverse backgrounds, united by excellence. Many are More ❯

improves the lives of shoppers and sellers around the world. Overview of the role The Business Research Analyst will be responsible for Data and Machine learning part of continuous improvement projects across the Discoverability space. This will require collaboration with local and global teams. The Research Analyst should … train model to generate product to product relationship and product to brand & model relationship. The Research Analyst is also expected to continuously improve the ML/LLM solutions in terms of precision & recall, efficiency and scalability. The Research Analyst should be able to write clear and detailed functional specifications based … focus on the quality, productivity, and scalability of our services. Find the scalable solution for business problem by executing pilots and build Deterministic and ML/LLM models. Manages meetings, business and technical discussions regarding their part of the projects. Makes recommendations and decisions that impact development schedules and the More ❯

for our SaaS products. As part of the product development capability here at Orgvue, we make use of emerging technologies bringing many opportunities for learning and innovation. As a Lead Software Engineer, you will: Play a high impact role in driving our AI journey, helping intelligent org design become … that enhance data quality and assist some of the world's biggest brands in making excellent decisions with regards to their organisation. Apply deep machine learning and software engineering expertise to prototype, evaluate, and productionise models across a range of use cases, including structured and unstructured data. Work … skills with a collaborative mindset-thriving in cross-functional teams with engineers, product managers, and designers. A growth mindset with a passion for continuous learning and improvement, and a willingness to explore new techniques, frameworks, or technologies. Benefits: Hybrid working - 1+ days a week in the London office Wellbeing More ❯

and the unique challenges posed by AI technologies. What you'll be doing: AI Security Architecture: Design and implement secure architectures for AI/ML models, data pipelines, and related infrastructure. Develop security policies and procedures specific to AI systems. Evaluate and select security tools and technologies for AI environments. … standards (e.g., NIST, ISO 27001). Proven experience as a Security Architect, with a strong focus on AI security. Deep understanding of AI/ML concepts, including model development, data pipelines, and deployment. Strong understanding of ethical AI principles and practices. Experience with AI security tools and technologies. Knowledge of … adversarial machine learning techniques. Familiarity with AI governance frameworks. Experience with data security and privacy regulations (e.g., GDPR, CCPA). Experience with DevSecOps practices. Strong analytical and problem-solving skills, with the ability to assess complex situations and develop effective solutions. Excellent communication, collaboration, problem-solving and presentation More ❯

The ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, and structuring … Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and More ❯

The ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, and structuring … Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and More ❯

with business use cases Contribute to and lead code reviews, automated testing, and DevOps CI/CD processes Advise on and implement AI/machine learning pipelines in Python where applicable Work with stakeholders across Technology, Operations, and Investment teams to gather requirements and deliver solutions Provide mentoring … paced, regulated environments Excellent communication and stakeholder management skills Nice to have: Experience with financial modelling and asset management tools Knowledge of AI/ML integrations in Python More ❯

with business use cases Contribute to and lead code reviews, automated testing, and DevOps CI/CD processes Advise on and implement AI/machine learning pipelines in Python where applicable Work with stakeholders across Technology, Operations, and Investment teams to gather requirements and deliver solutions Provide mentoring … paced, regulated environments Excellent communication and stakeholder management skills Nice to have: Experience with financial modelling and asset management tools Knowledge of AI/ML integrations in Python More ❯

experience delivering high-impact AI solutions across marketing and customer experience. What You'll Do Model & Build: Support the design and deployment of pragmatic machine learning solutions - from feature engineering in SQL to model development in Python, and deploying in production environments like AWS. Explore & Prototype: Help bring … Have: A degree in a STEM discipline (Computer Science, Maths, Engineering, etc.) or equivalent practical experience. 2-4 years of experience delivering DS/ML solutions in production environments - ideally in settings where you've had to wear multiple hats (e.g., startups, small teams). Fluency in Python and SQL More ❯

AWS Enterprise Support, you will play a crucial role in fostering our customers' innovative and transformative endeavors across various technologies, including GenAI, AI/ML, Compute, Storage, Database, Big Data, Application-level Services, Networking, Serverless, Deployment, Security and more. This is not a sales role; instead, it offers you the … be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career … in an internal enterprise or external customer-facing environment as a technical lead - Experience with AWS services or other cloud offerings - Gen-AI and Machine Learning experience is a plus. - MBA is a plus. Amazon is an equal opportunity employer and does not discriminate on the basis of More ❯

communicate effectively with stakeholders and present insights. As a key member of our dynamic team, you will also help nurture a culture of continuous learning and innovation, ensuring that we remain at the forefront of Responsible Investing. The ideal candidate is ambitious, determined, and self-motivated, and able to … regional offices and time zones. Proficient in financial analysis, modelling, and statistics, with experience extracting insights from heterogeneous multi-dimensional datasets. Ability to apply machine learning techniques (e.g., scikit-learn, PyTorch, TensorFlow) and present complex data visually using Matplotlib, seaborn, or Streamlit. Fluent in Python, with experience working More ❯

At Cloud Bridge , we transform how businesses use AWS cloud services. We specialise in Consultancy, Managed Services, Cloud Governance, FinOps, and AI/ML to unlock AWS's full potential. Recognised as AWS's Rising Star Partner of the Year for 2023 in EMEA and 2022 in the UK&I … Have) Experience with Redshift, Neptune, Timestream, or other AWS data services. Knowledge of multi-cloud (GCP/Azure) and hybrid cloud environments. Familiarity with machine learning & analytics pipelines on AWS. Experience working on AWS MAP-funded modernisation projects. Benefits Overview 25 Days Paid Time-off Birthday Leave Company More ❯

to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart … life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun More ❯

and extensible data models for Amazon's extensive product catalog. Ensure our ontologies provide comprehensive domain coverage that are available for both human and machine ingestion and inference. Create new schema using Generative Artificial Intelligence (generative AI) models. Analyze website metrics and product discovery behaviors to make data-driven … . Proficiency in SQL, SPARQL. Familiarity with software engineering life cycle. Familiarity with ontology manipulation programming libraries. Exposure to data science and/or machine learning, including graph embedding. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and More ❯

that we fight Financial Crime a little differently at Monzo. You'll work in a team with dedicated Financial Crime engineers, data scientists and machine learning experts, which helps us to spot, assess and prevent crime quickly. We choose not to split out different areas of crime, either. … offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences And much more, see our full list of benefits here The Interview More ❯

Azure, Google Cloud) Strong problem-solving skills Excellent communication skills Preferred Qualifications: Experience in the retail sector Knowledge of data visualisation tools Understanding of machine learning concepts If this sounds like your next challenge, please apply now. More ❯

Engineering will work in a Data Rich Testing environment, and be will be tasked with building their own team to help deploy cutting edge Machine Learning techniques in a number of different areas of the company. Reporting into the Head of Data Science & working closely with the CTO More ❯

Environment Power BI DevOps SQL Data Factory Synapse Analysis Services T-SQL DAX M-Query Python Advantageous Requirements Purview Implementation/Master Data Management Machine Learning Model Development/Delivery MS Fabric Experience DP-203 Azure Data Engineering Associate DP-500 Enterprise Data Analyst PL-300 Power BI More ❯

You have hands-on experience processing with large tick datasets and research at scale. You demonstrate in-depth knowledge of statistical modelling and inference, machine learning, and optimization techniques. You have proven experience in quantitative trading with a demonstrable track record. You have excellent problem-solving and analytical More ❯

Mathematics, Computer Science or Engineering). At least 1 - 2 years of experience in quantitative analytics or data modelling. Deep understanding of predictive modelling, machine learning, clustering and classification techniques. Fluency in a programming language (Python, C, C++, Java, SQL). Familiarity with Big Data frameworks and visualization More ❯

Mathematics, Computer Science or Engineering). At least 1 - 2 years of experience in quantitative analytics or data modelling. Deep understanding of predictive modelling, machine learning, clustering and classification techniques. Fluency in a programming language (Python, C, C++, Java, SQL). Familiarity with Big Data frameworks and visualization More ❯

and processing from heterogeneous sources; familiarity with tools like Apache Spark or Hadoop. Proficiency with cloud platforms (AWS, GCP, Azure). Familiarity with major machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). *NGS and RNA experience is not strong enough, Python, Physics and Protein dynamics/structures More ❯