451 to 475 of 1,111 Machine Learning Jobs in England

security, opportunities, policy, and risk mitigation made by governments and AI developers. We're a close-knit, unusually interdisciplinary team—made up of machine learning researchers and engineers, software engineers, virologists and bacteriologists, behavioural research scientists, biosecurity experts, long-standing CB policy specialists and talented generalists—who work … done all three, but you should be comfortable with at least one and keen to grow into the others. Familiarity with the AI/ML ecosystem: OpenAI-compatible APIs, PyTorch, and the tooling around LLM-based systems. Ability to work across multiple teams, understanding varied research needs and delivering reliable ...

delivering and deploying applications and software to cloud or on-prem environments across National Security projects. The team deliver DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission ...

environment Strong prioritisation skills, with a focus on delivering the highest-value outcomes Understanding of fraud detection approaches, including rules-based systems, analytics and machine learning Experience working with transaction data, identity signals and risk-scoring models Ability to quickly understand technical systems, architecture and constraints Strong experience ...

safety-critical environments. Familiarity with technologies such as: Azure and AWS Docker and Kubernetes Apache Kafka and NiFi Node.js and TypeScript MongoDB AI and Machine Learning technologies Security Requirements Due to the nature of the work, candidates must either hold current UK Security Clearance or be eligible ...

/or Python development Azure Data Factory (ADF) Azure Synapse Analytics Azure Data Lake Storage Power BI development and data modelling Exposure to AI, Machine Learning, or advanced analytics projects Microsoft certifications such as DP-600 or DP-203 Experience working within large-scale transformation or cloud migration ...

some of the UK's most important defence, intelligence and cyber programmes. You'll join teams delivering cutting-edge capabilities across DevSecOps, Artificial Intelligence, Machine Learning, Cyber Security and Geospatial Intelligence, working with modern technologies in complex operational environments. Due to the nature of the work, candidates must ...

Experience implementing governance frameworks and best practices for AI systems. Strong problem-solving and analytical skills. Desirable Experience Experience with Azure AI Studio, Azure Machine Learning, or Cognitive Services. Familiarity with DevOps practices and CI/CD pipelines within the Microsoft ecosystem. Experience integrating AI solutions with Microsoft ...

Experience implementing governance frameworks and best practices for AI systems. Strong problem-solving and analytical skills. Desirable Experience Experience with Azure AI Studio, Azure Machine Learning, or Cognitive Services. Familiarity with DevOps practices and CI/CD pipelines within the Microsoft ecosystem. Experience integrating AI solutions with Microsoft ...

solutions and present actionable insights to stakeholders. Communicate results clearly to key decision-makers to influence pricing strategies. Advance the adoption of statistical and machine-learning methods within pricing, in collaboration with Modelling, Optimisation, and Street Pricing. What we're looking for: Experience in general insurance pricing with ...

they move into production. What you will bring to the role: Extensive experience in enterprise or solution architecture, with a strong focus on AI, machine learning, or distributed systems. Proven expertise in Generative AI technologies, including Large Language Models, agentic frameworks, and vector databases. Strong command ...

must have written production grade code in C#, C++ or Python for application development (not web apps or embedded) and an interest in pushing Machine Learning over time. Crucially we are looking for experience with AWS Cloud/Distributed Computing to be considered. Your new role In this ...

services. 2. Fraud Detection and Prevention Real-Time Monitoring : Implement AI algorithms to detect and flag unusual transactions in real-time. Predictive Analytics : Use machine learning models to predict potential fraud based on historical data and behavioural patterns. 3. Loan Processing Automation Credit Scoring : AI can evaluate creditworthiness ...

pipelines using Python and SQL, managing the full data lifecycle from ingestion through to processing and validation. Youll also have hands-on experience applying machine learning and computer vision techniques, such as detection, classification, segmentation, and anomaly detection, to solve complex, real-world challenges. You will work both ...

across fragmented equity markets. Develop and improve execution models that account for market impact, timing risk, and other key cost drivers. Leverage AI and machine learning tools across the development lifecycle, from accelerating research and prototyping to enhancing model validation, code review, and continuous performance monitoring in production. ...

Practice Technology Offering is broad, covering a wide array of Advisory and Data Services: Comprehensive eDiscovery services, including data processing, AI/GenAI/machine learning, managed review, productions, and support through arbitration and trial. Full-spectrum eDiscovery advisory, covering budgeting, vendor management, data transfer protocols, project oversight ...

safety, reliability, and interpretability are built into everything you deliver. What were looking for Were looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: Strong Python development experience Hands ...

take ownership of technical decisions Nice to have (but not required): Experience with Python in backend, data, or automation contexts Exposure to AI/ML or large language model-based systems Kubernetes and container orchestration experience Tech environment Languages: Java (primary), other JVM languages welcome; Python a plus Frameworks: Spring ...

enhance security policies, standards, and procedures across the organisation.* Manage the information security risk program, maintaining a comprehensive risk register.* Oversee AI/ML security risk management, including the development of policies for generative AI technologies.* Collaborate with Financial Crime and Anti-Fraud teams to mitigate cyber risks related ...

design, dashboard development, data modeling/semantic layers, and instrumentation concepts) sufficient to partner effectively with data and engineering teams. Familiarity with AI/ML-enabled tools and practical applications that support product management, workflow efficiency, insight generation, or decision support. Knowledge of governance considerations related to AI, model risk ...

team of engineers remotely, challenged architectural decisions, and driven the right practices for the team. Full-stack data experience at scale : Ingestion, ML/AI modelling, analytics. You've designed complex end-to-end solutions, not just one layer of the stack. Google Cloud hands-on experience: BigQuery, Analytics ...

enhance security policies, standards, and procedures across the organisation.* Manage the information security risk program, maintaining a comprehensive risk register.* Oversee AI/ML security risk management, including the development of policies for generative AI technologies.* Collaborate with Financial Crime and Anti-Fraud teams to mitigate cyber risks related ...

experience in conducting or leading financial crime risk assessments and/or change impact assessments. Experience delivering data-driven products, including applying AI/ML in Financial Crime contexts and building or enhancing case management systems and investigator tooling. Experience developing products for investment platforms or digital consumer banking, ideally ...

executive audiences Collaborate across globally distributed teams with awareness of time zone considerations and asynchronous work patterns Guide teams in embedding AI/ML features—prompt engineering, model inference, feature pipelines—into platform services Contribute to technical planning, architecture decisions, and incident retrospectives Platform & Product Mindset Apply product thinking ...

environments with strict data governance requirements.Engineering Rigor. Track record of building observable, testable, well-documented systems. Experience with CI/CD for data and ML pipelines, data quality frameworks, and infrastructure-as-code practices.Communication & Influence. Ability to translate between deep technical architecture and business strategy. Comfortable presenting to C-suite ...

discipline frontend, backend, mobile, and quality. You will report to the VP of Engineering. You bring deep technical knowledge and a strong appetite for learning especially around agentic AI and how it is reshaping the way software is built. Your hands‐on coding focuses on the engineering organisation itself … both. Practical experience integrating, evaluating, or productionising machine learning systems not necessarily as a researcher, but as someone who has shipped ML‐powered features. Active, current hands‐on experience with agentic development tools: Claude Code, Cursor, Codex, or equivalent used as a daily part of your own engineering ...