24 of 24 Remote Anomaly Detection Jobs in the UK

models using relevant datasets to achieve optimal performance Implement strategies for continuous model improvement and optimization Data Mining & Analysis Apply data mining techniques such as clustering, classification, regression, and anomaly detection to discover patterns and trends in large datasets. Analyze and preprocess large datasets to extract meaningful insights and features for model training Code Review and Documentation More ❯

a related field. Background in generative modeling , Bayesian deep learning , signal/image processing , or graph models . Experience applying probabilistic models in real-world applications (e.g., recommendation systems, anomaly detection, personalized healthcare, etc.). Understanding of modern ML pipelines and MLOps (e.g., MLFlow, Weights & Biases). Experience with recent trends such as foundation models , causal inference More ❯

Technology Group is dedicated to creating immersive and unforgettable gaming experiences. As we continue to push the boundaries of technology, we are seeking a talented Principal Engineers specializing in Anomaly Detection to join our dynamic R&D team. We are on a mission to revolutionize our QA processes by developing cutting-edge technologies that automatically detect bugs … game streams. This is a unique opportunity to contribute to a global effort in making our QA processes more efficient and effective. As a Staff Machine Learning Engineer in Anomaly Detection, you will be the technical lead in a research team focused on advancing our anomaly detection technology, driving technical excellence and innovation. The … machine learning models to detect anomalies in game streams. Your expertise will help shape the future of gaming by ensuring high-quality player experiences. What you'll be doing: Anomaly Detection Development: Design, develop, and implement novel anomaly detection algorithms to automatically identify bugs and glitches in game streams. Research and Innovation: Lead research More ❯

Staff Machine Learning Engineer, Anomaly Detection United Kingdom, London Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation … Technology Group is dedicated to creating immersive and unforgettable gaming experiences. As we continue to push the boundaries of technology, we are seeking a talented Principal Engineers specializing in Anomaly Detection to join our dynamic R&D team. We are on a mission to revolutionize our QA processes by developing cutting-edge technologies that automatically detect bugs … game streams. This is a unique opportunity to contribute to a global effort in making our QA processes more efficient and effective. As a Staff Machine Learning Engineer in Anomaly Detection, you will be the technical lead in a research team focused on advancing our anomaly detection technology, driving technical excellence and innovation. The More ❯

Staff Machine Learning Engineer, Anomaly Detection United Kingdom, London Check all associated application documentation thoroughly before clicking on the apply button at the bottom of this description. Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing … Technology Group is dedicated to creating immersive and unforgettable gaming experiences. As we continue to push the boundaries of technology, we are seeking a talented Principal Engineers specializing in Anomaly Detection to join our dynamic R&D team. We are on a mission to revolutionize our QA processes by developing cutting-edge technologies that automatically detect bugs … game streams. This is a unique opportunity to contribute to a global effort in making our QA processes more efficient and effective. As a Staff Machine Learning Engineer in Anomaly Detection, you will be the technical lead in a research team focused on advancing our anomaly detection technology, driving technical excellence and innovation. The More ❯

functional approach to solving complex quantitative encounters. The TaCC team has a global remit, across all products, businesses and regions in the Investment and Corporate Banks, to develop bespoke anomaly detection models. Our subject matter and datasets are complex, continually evolving and varied, so we are recruiting people who are highly motivated and highly skilled. You will … including ability to independently drive research Excellent communication skills, both written and verbal, with ability to manage multiple stakeholders (beneficial) Understanding financial markets, risk (for example Know Your Client), anomaly detection/Machine Learning (ML), project management How we'll support you Flexible working to assist you balance your personal priorities Coaching and support from experts in More ❯

extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics at a high scale. As a senior manager, you are expected to create an alignment across different divisions, focus on strategic business KPIs … other managers to collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business. Responsibilities Lead the development and optimization of spam and fraud detection systems using machine learning and rule-based engines. Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end fraud solutions. More ❯

performance analysis tools (Broadcom DXNetOps, Appneta, Wireshark, DataDog). Telecommunications (MPLS, Optical Networks, ISPs, CDNs, SLAs) required. Networking (WAN, LAN, Routing:BGP,OSPF,VxLAN, NFV, IPv4, QoS, Traffic Profiling, Anomaly Detection, Disaster Recovery, Business Continuity, Continuous Availability, High Availability). Successful candidate will align to the following: Possess exceptional interpersonal skills, technical communication skills, as well as More ❯

Requirements • Experience in identifying opportunities for product or business improvements and measuring the success of those initiatives. • Experience in applying modelling techniques e.g. time series forecasting, segmentation/clustering, anomaly detection. If this great opportunity interests you, please make an application to our Recruitment Partner, Datatech Analytics More ❯

other SOCs and cybersecurity researchers to identify analytics, threat intelligence, and tradecraft that benefit the Blue Team. Communicate funding and prioritization suggestions and lead implementation when needed. Develop complex, anomaly-based KQL analytics and playbooks for detection in M365, Linux, and Windows environments. Review open-source research on threats affecting cloud services and VMs, prioritizing and implementing … relevant findings. Research vulnerabilities, produce proof-of-concept exploits, and emulate adversary TTPs for training and detection evaluation. Review red team and pentest findings to improve detection rules. Provide forensic support and threat emulation to improve alert triage and accuracy. Identify gaps in SOC processes, data collection, and analysis, demonstrating the need for improvements through scenarios … AWS knowledge preferred. Understanding of Windows Active Directory and Windows OS fundamentals. Networking fundamentals experience. Experience with CI/CD and source control systems. Experience in developing malware and anomaly detections. Use of statistical methods for anomaly detection. Proficiency with Microsoft Sentinel and/or XDR. Strong skills in writing complex KQL analytics/searches. Awareness of current More ❯

science into core product features Contribute to a collaborative team culture focused on technical excellence and real-world results Stay informed on new techniques and research relevant to detection, classification and real-time ML systems Ideal Background: Hands-on experience building and maintaining machine learning models in production Strong skills in Python , SQL , and modern cloud environments (AWS … and model monitoring best practices Practical mindset with the ability to balance technical depth with speed of delivery Bonus: exposure to large-scale digital data environments, classification problems, or anomaly detection Why This Role? Work at the intersection of real-time data, machine learning, and product innovation Join a lean and collaborative team where data science is More ❯

science into core product features Contribute to a collaborative team culture focused on technical excellence and real-world results Stay informed on new techniques and research relevant to detection, classification and real-time ML systems Ideal Background: Hands-on experience building and maintaining machine learning models in production Strong skills in Python , SQL , and modern cloud environments (AWS … and model monitoring best practices Practical mindset with the ability to balance technical depth with speed of delivery Bonus: exposure to large-scale digital data environments, classification problems, or anomaly detection Why This Role? Work at the intersection of real-time data, machine learning, and product innovation Join a lean and collaborative team where data science is More ❯

analysis, or EA, with 5+ years in finance systems. Proven expertise with finance operating models and KPIs (EBITDA, NPV, DSO). Experience with AI/ML in finance (e.g., anomaly detection, predictive AR). Skills & Tools Deep knowledge of SaaS, PaaS, microservices, data analytics, and EA frameworks. Familiarity with IT governance, DevOps, agile methodologies, and financial modeling. More ❯

analysis, or EA, with 5+ years in finance systems. Proven expertise with finance operating models and KPIs (EBITDA, NPV, DSO). Experience with AI/ML in finance (e.g., anomaly detection, predictive AR). Skills & Tools Deep knowledge of SaaS, PaaS, microservices, data analytics, and EA frameworks. Familiarity with IT governance, DevOps, agile methodologies, and financial modeling. More ❯

z2bz0 years of experience applying machine learning to time-series or physiological data. Strong foundation in signal processing and time-series modeling (e.g., deep learning, classical ML, anomaly detection). Proficient in Python and ML frameworks such as PyTorch or TensorFlow. Familiarity with FDA regulatory pathways for medical software (e.g., 510(k), De Novo), and standards like More ❯

health. Dashboard Development: Assist teams in creating clear, informative, and actionable dashboards to improve system visibility. Automation & Alerting: Automate monitoring and alerting processes, including enrichment strategies and ML-driven anomaly detection where applicable. Cross-Team Collaboration: Work closely with ICO and product development teams to ensure seamless visibility into system and service performance. Strategic Observability: Partner with More ❯

with a strong focus on performance, explainability, and cost-efficiency. What You'll Bring: Deep applied experience in ML/DL , with bonus points for work in threat detection , phishing , or abuse detection Proven ability to design and deploy full-stack AI pipelines in production Strong … experience in backend engineering , ideally with Go and ML frameworks like PyTorch or TensorFlow Familiarity with MLOps , cloud infrastructure (AWS) , Kubernetes , and Terraform Experience evaluating and deploying models (including anomaly detection, RAG, and clustering) in noisy, evolving data environments Nice to Have: Experience with Perl Knowledge of threat intelligence integration and MCP architectures Location: Hybrid - 2 days More ❯

Join a world-leading cybercrime SaaS organisation in an exciting Senior/Principal AI Engineer role to deliver robust and impactful AI-based solutions to advance threat detection efficiency. Our client is headquartered in the UK and, whilst being well-established with significant sector success behind them, serving the largest names globally across the banking and government spaces … , malware analysis, phishing and/or abuse detection. Experience building production-grade AI pipelines, including data ingestion, feature engineering, validation, model deployment, and monitoring. Experience designing and implementing anomaly detection, classification, clustering, and retrieval across vision and language models, ideally for identifying cyber threats (URLs, domains, phishing, botnets, etc.) Proficient in a major backend language (ideally More ❯

Join a world-leading cybercrime SaaS organisation in an exciting Senior/Principal AI Engineer role to deliver robust and impactful AI-based solutions to advance threat detection efficiency. Our client is headquartered in the UK and, whilst being well-established with significant sector success behind them, serving the largest names globally across the banking and government spaces … , malware analysis, phishing and/or abuse detection. Experience building production-grade AI pipelines, including data ingestion, feature engineering, validation, model deployment, and monitoring. Experience designing and implementing anomaly detection, classification, clustering, and retrieval across vision and language models, ideally for identifying cyber threats (URLs, domains, phishing, botnets, etc.) Proficient in a major backend language (ideally More ❯

or more organisational environments such as enterprise, edge/deployed environments or cloud . Demonstrable knowledge of cyber detection (e.g., threat identification/intelligence, real-time monitoring, anomaly detection) and cyber response (e.g. incident response, eradication and remediation, recovery, post-incident analysis). DevSecOps. Zero Trust Architecture (ZTA) expertise for enterprise, cloud and air-gapped More ❯

on a highly visible team with leadership opportunities and significant ownership of strategic initiatives. In this role, you will: Build and evolve products for fleet security (e.g. theft detection, engine immobilization) and public sector operations (e.g. asset planning, route insights) Use AI and data to deliver insights that help customers optimize fleet usage and improve safety Work directly … customer insights to go-to-market An ideal candidate also has: Experience in IoT, fleet/telematics, security, or public sector tech Familiarity with AI/ML features or anomaly detection Startup or high-growth company experience Location: Preferred: United Kingdom (close collaboration with our engineering team in Poland). Samsara's Compensation Philosophy: Samsara's compensation More ❯

about AI, developer tooling, and open-source innovation. You'll collaborate with cross-functional teams to bring AI-powered capabilities to life from intelligent documentation assistants to code generation, anomaly detection, search improvements, and beyond. Responsibilities Design, develop, and deploy AI/ML models and systems that enhance the Appwrite platform. Identify opportunities to integrate AI features More ❯

features for accuracy and relevance Provide input on: Common workflows for mainly small but also mid-sized businesses (e.g. cashflow, month-end close) Data needed for forecasting, reporting, or anomaly detection Edge cases, limitations, and realistic expectations around automation Contribute to user research planning, interviews, and testing when needed Help translate technical product ideas into accounting-relevant … goals Strong communicator: can explain financial concepts to non-experts Open to collaborating with product managers, engineers, and designers Nice to Have Exposure to AI tools in finance (e.g. anomaly detection, categorisation, forecasting models) Experience working in or with software companies or digital tools Understanding of APIs, data integrations, or how financial systems connect All profiles will More ❯

features for accuracy and relevance Provide input on: Common workflows for mainly small but also mid-sized businesses (e.g. cashflow, month-end close) Data needed for forecasting, reporting, or anomaly detection Edge cases, limitations, and realistic expectations around automation Contribute to user research planning, interviews, and testing when needed Help translate technical product ideas into accounting-relevant … goals Strong communicator: can explain financial concepts to non-experts Open to collaborating with product managers, engineers, and designers Nice to Have Exposure to AI tools in finance (e.g. anomaly detection, categorisation, forecasting models) Experience working in or with software companies or digital tools Understanding of APIs, data integrations, or how financial systems connect All profiles will More ❯