1 to 25 of 49 Permanent Anomaly Detection Jobs in London

work that directly contributes to saving lives through faster, more accurate diagnosis. The Role We’re hiring a Machine Learning Engineer to lead the development of a bacterial genome anomaly detection system - building bespoke algorithms that identify unusual patterns in genomic data and support the company’s mission to prevent incorrect antibiotic prescriptions. You’ll design and … test novel ML methods using foundational pre-trained genomic embeddings and custom anomaly-detection architectures , turning proprietary data into interpretable, high-impact models. This is a deep research role: success will come through rapid iteration, creativity, and scientific curiosity rather than polished productisation. It’s well suited to someone who thrives in a small, autonomous team, enjoys … experimental algorithm development, and wants their work to have measurable real-world impact. What You’ll Do Design and implement bespoke anomaly-detection models for bacterial genomes Develop, train, and benchmark transformer-based and foundation-model approaches for genome representation Conduct rapid, iterative research , evaluating ideas through experiments rather than long production cycles Collaborate with bioinformatics, microbiology More ❯

work that directly contributes to saving lives through faster, more accurate diagnosis. The Role We’re hiring a Machine Learning Engineer to lead the development of a bacterial genome anomaly detection system - building bespoke algorithms that identify unusual patterns in genomic data and support the company’s mission to prevent incorrect antibiotic prescriptions. You’ll design and … test novel ML methods using foundational pre-trained genomic embeddings and custom anomaly-detection architectures , turning proprietary data into interpretable, high-impact models. This is a deep research role: success will come through rapid iteration, creativity, and scientific curiosity rather than polished productisation. It’s well suited to someone who thrives in a small, autonomous team, enjoys … experimental algorithm development, and wants their work to have measurable real-world impact. What You’ll Do Design and implement bespoke anomaly-detection models for bacterial genomes Develop, train, and benchmark transformer-based and foundation-model approaches for genome representation Conduct rapid, iterative research , evaluating ideas through experiments rather than long production cycles Collaborate with bioinformatics, microbiology More ❯

false positive rate, coverage completeness). * Stand up monitoring processes and integrate telemetry sources across SIEM, EDR, identity, network, and cloud platforms. * Ensure monitoring outputs are actionable, enriching detection and response activities and informing risk and compliance stakeholders. Technical Architecture & Integration * Design and implement a continuous monitoring reference architecture, leveraging SIEM, SOAR, UEBA, and threat intelligence. * Establish enterprise … MTTR, false positive rates, and coverage completeness. * Familiarity with frameworks like NIST CSF, MITRE ATT&CK, and ISO 27001, with experience applying these to monitoring. * Experience in threat hunting, anomaly detection, and behavioral analytics. * Strong leadership skills: able to recruit, mentor, and develop a high-performing team in a newly established function. * Executive presence: able to present … identify control gaps and inform improvements. * Translates complex monitoring outputs into actionable insights for stakeholders across IT, Risk, and Security. * Innovates in detection methodologies, leveraging behavioral analytics, anomaly detection, and adversary simulations. * Acts as a problem-solver during incidents, ensuring monitoring outputs guide rapid containment and response. Effectiveness & Value Creation * Leads the build-out of More ❯

trading strategies, with full ownership from design to deployment. Responsibilities Develop and maintain the quant technology stack supporting systematic crypto trading. Lead applied AI/ML initiatives, including anomaly detection, LLM integration, and predictive modelling. Design and deploy scalable, real-time applications using deep learning and statistical techniques. Collaborate with Researchers and Traders to implement and optimise … quantitative or trading environment. Strong Python programming skills and a solid foundation in statistics and machine learning. Proven experience delivering production-grade AI/ML applications, including LLMs and anomaly detection models. Familiarity with cloud infrastructure (AWS preferred), container orchestration (Kubernetes), and workflow tools (Airflow, Argo). Experience with observability tools (e.g., Grafana, CloudWatch) and RESTful API More ❯

trading strategies, with full ownership from design to deployment. Responsibilities Develop and maintain the quant technology stack supporting systematic crypto trading. Lead applied AI/ML initiatives, including anomaly detection, LLM integration, and predictive modelling. Design and deploy scalable, real-time applications using deep learning and statistical techniques. Collaborate with Researchers and Traders to implement and optimise … quantitative or trading environment. Strong Python programming skills and a solid foundation in statistics and machine learning. Proven experience delivering production-grade AI/ML applications, including LLMs and anomaly detection models. Familiarity with cloud infrastructure (AWS preferred), container orchestration (Kubernetes), and workflow tools (Airflow, Argo). Experience with observability tools (e.g., Grafana, CloudWatch) and RESTful API More ❯

trading strategies, with full ownership from design to deployment. Responsibilities Develop and maintain the quant technology stack supporting systematic crypto trading. Lead applied AI/ML initiatives, including anomaly detection, LLM integration, and predictive modelling. Design and deploy scalable, real-time applications using deep learning and statistical techniques. Collaborate with Researchers and Traders to implement and optimise … quantitative or trading environment. Strong Python programming skills and a solid foundation in statistics and machine learning. Proven experience delivering production-grade AI/ML applications, including LLMs and anomaly detection models. Familiarity with cloud infrastructure (AWS preferred), container orchestration (Kubernetes), and workflow tools (Airflow, Argo). Experience with observability tools (e.g., Grafana, CloudWatch) and RESTful API More ❯

trading strategies, with full ownership from design to deployment. Responsibilities Develop and maintain the quant technology stack supporting systematic crypto trading. Lead applied AI/ML initiatives, including anomaly detection, LLM integration, and predictive modelling. Design and deploy scalable, real-time applications using deep learning and statistical techniques. Collaborate with Researchers and Traders to implement and optimise … quantitative or trading environment. Strong Python programming skills and a solid foundation in statistics and machine learning. Proven experience delivering production-grade AI/ML applications, including LLMs and anomaly detection models. Familiarity with cloud infrastructure (AWS preferred), container orchestration (Kubernetes), and workflow tools (Airflow, Argo). Experience with observability tools (e.g., Grafana, CloudWatch) and RESTful API More ❯

Senior Machine Learning Engineer - Behavioural Modeling & Threat Detection - £160,000+ - Fully Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just their engineering … written and verbal communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent More ❯

Senior Machine Learning Engineer - Behavioural Modeling & Threat Detection - £160,000+ - Fully Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just their engineering … written and verbal communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent More ❯

and billions of transactions annually. Leveraging proven data science, including our proprietary consortium data, our customers use our risk-based, machine learning platform to deliver the highest fraud detection rates, lowest false positive rates, and lowest customer intervention in the industry. We stop fraud, not customers. See what others can't at What you'll achieve As a … analysis to uncover trends and actionable insights. Create data visualizations, reports, dashboards, and perform data audits. Leverage predictive models to optimize customer experiences and drive business outcomes. Create automated anomaly detection systems to monitor and ensure data quality and operational performance. Qualifications Bachelor's degree in Data Science, Computer Science, or a related field. Doctorate in a … of data engineering, analysis and analytics, as well as machine learning. 6+ years of experience working in Data Science, preferably within a Software organization. Experience with financial fraud detection and prevention is a major advantage. Advanced proficiency in Python for data science and machine learning applications. Familiarity with cloud-based infrastructure, preferably Azure. Expertise with Data Warehousing/ More ❯

the context of A2A payments or other financial transaction systems is a strong plus. Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. … Experience Required skills Hands-on experience building and deploying ML models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data Proven success collaborating with product and engineering teams to ship ML-based features and … experience, OR equivalent Nice to Have Demonstrated ability to design and validate features using transactional and behavioral data from financial services Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the More ❯

the context of A2A payments or other financial transaction systems is a strong plus. Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. … Experience Required skills Hands-on experience building and deploying ML models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data Proven success collaborating with product and engineering teams to ship ML-based features and … experience, OR equivalent Nice to Have Demonstrated ability to design and validate features using transactional and behavioral data from financial services Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the More ❯

the context of A2A payments or other financial transaction systems is a strong plus. Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. … Experience Required skills Hands-on experience building and deploying ML models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data Proven success collaborating with product and engineering teams to ship ML-based features and … experience, OR equivalent Nice to Have Demonstrated ability to design and validate features using transactional and behavioral data from financial services Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the More ❯

the context of A2A payments or other financial transaction systems is a strong plus. Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. … Experience Required skills Hands-on experience building and deploying ML models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data Proven success collaborating with product and engineering teams to ship ML-based features and … experience, OR equivalent Nice to Have Demonstrated ability to design and validate features using transactional and behavioral data from financial services Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred Experience with model governance and monitoring in regulated environments Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the More ❯

completeness, timeliness, and consistency across systems. Utilise Monte Carlo for data observability, proactively detecting and resolving data quality issues. Work with data engineering teams to establish validation, profiling, and anomaly detection frameworks. Stakeholder Engagement & Support Act as a bridge between business and technical teams, ensuring alignment of data requirements. Provide training and guidance to business users on More ❯

for data quality, governance, and platform architecture. Evaluate and implement modern tools and frameworks for managing, querying, and streaming large datasets. Build and maintain automated processes for data validation, anomaly detection, and system monitoring. Support the production environment and ensure smooth data operations. Manage relationships with external data providers and ensure alignment with business needs. What You More ❯

for data quality, governance, and platform architecture. Evaluate and implement modern tools and frameworks for managing, querying, and streaming large datasets. Build and maintain automated processes for data validation, anomaly detection, and system monitoring. Support the production environment and ensure smooth data operations. Manage relationships with external data providers and ensure alignment with business needs. What You More ❯

aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real-time expense optimization. You will integrate AI into the core platform using frameworks like Laravel or Symfony, ensuring scalability for web and More ❯

aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real-time expense optimization. You will integrate AI into the core platform using frameworks like Laravel or Symfony, ensuring scalability for web and More ❯

aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real-time expense optimization. You will integrate AI into the core platform using frameworks like Laravel or Symfony, ensuring scalability for web and More ❯

aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real-time expense optimization. You will integrate AI into the core platform using frameworks like Laravel or Symfony, ensuring scalability for web and More ❯

aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real-time expense optimization. You will integrate AI into the core platform using frameworks like Laravel or Symfony, ensuring scalability for web and More ❯

aligned with business goals, such as predictive analytics for financial forecasting and automated decision-support systems. You will design, develop, and deploy machine learning models to improve features like anomaly detection, intelligent invoicing, and real-time expense optimization. You will integrate AI into the core platform using frameworks like Laravel or Symfony, ensuring scalability for web and More ❯

Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. - ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries - Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time More ❯

Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. - ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries - Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time More ❯