651 to 675 of 1,303 Machine Learning Jobs in England

platform, including fair value engines, portfolio and risk management, client segmentation and RFQ workflows. Apply appropriate analytical techniques, ranging from statistical methods to modern machine learning where relevant. Take ownership of projects from inception through to production deployment, coordinating with stakeholders including Trading, KDB, QA, DevOps … integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively ...

Structure (WBS) methodologies to guarantee on-time, high-impact deployments. 3. Organisation Leadership: Empowering, structuring, and upskilling a global technology footprint, bridging the "AI Learning Gap" across cross-functional business units. 4. Commercial Acumen: Managing complex technology investments, driving Build vs. Buy options, and proving tangible ROI indicators … environment, vision, and operational resources while collaborating closely with Business Intelligence, Marketing, and ESG/CSR units. AI Adoption: Operationalising advanced AI frameworks, ensuring machine learning models move out of sandbox environments and into live, localized exploitation. Business Continuity Planning: Securing the core business. You will insulate ...

collaborating across teams to resolve data issues in a timely and effective manner. Tool Evaluation & Implementation: Evaluate, select, and implement market-leading AI/ML automation platforms and technologies to support all data quality initiatives. Stakeholder Collaboration: Work closely alongside business stakeholders, data stewards, and IT teams to understand technical … with proven experience implementing automation and AI for data profiling, cleansing, and standardisation. Tool Proficiency: Proficiency in AI-driven data automation tools, understanding of machine learning principles, and exceptional capabilities in SQL, spreadsheets, and other data analysis tools. (Experience with Google applications is a plus). Governance & Standards ...

risk, counterparty credit risk, regulatory risk capital and derivative valuation adjustments. Our solutions combine advanced analytics and technology, including a fully vectorized pricing library, machine learning, and a scalable Big Data stack, and are used by clients ranging from the largest tier-one banks to smaller specialist firms. … financial services or risk management environment. Curiosity about how financial institutions use risk analytics to support decision-making. A proactive approach to learning, including willingness to shadow, observe, and learn from experienced colleagues. Commitment to delivering high-quality work, taking ownership of tasks, and supporting the wider team. About ...

experience with a proof assistant (Lean, Coq, Isabelle, or similar). Preferred qualifications 2 years of experience with compiler infrastructure (Low Level Virtual Machine (LLVM) or GNU Compiler Collection (GCC)) or programming language formalization. 1 year of experience with large language models or machine learning for code ...

travel to/around London Would you be interested in joining Google Cloud's premier AI partner, driving transformation for world-class businesses through machine learning, data engineering, and analytics? This business is Google Cloud's leading specialist in AI and data, working at the cutting edge ...

techniques for code analysis and verification. A Master’s degree and programming experience in languages like Java, C++, or Python, along with knowledge in machine learning are essential. Join us in shaping the future of AWS security and AI-driven solutions. #J-18808-Ljbffr ...

travel to/around London Would you be interested in joining Google Cloud's premier AI partner, driving transformation for world-class businesses through machine learning, data engineering, and analytics? This business is Google Cloud's leading specialist xkybehq in AI and data, working at the cutting edge ...

Engineer to work on products used daily by leading global media and publishing organisations. Founded over a decade ago, the company builds data-driven, machine-learning-led products that operate at scale, helping publishers make smarter decisions around content, engagement, and audience growth. This is a hands ...

have experience implementing AI at an enterprise-level. You will be familiar with the definition and implementation of policies and strategy. Any background in machine learning and data science would be advantageous but is not essential. The team has a hybrid working policy. You would ...

with cutting-edge technology companies, from high-growth startups to established global businesses, helping them hire top talent across Data Science, Data Engineering, Analytics, Machine Learning, and wider AI functions. With a strong international presence and a performance-led culture, the business offers a clear platform to build ...

adopted across the organisation. The Role You will be responsible for defining and evolving data architecture capabilities that support operational reporting, advanced analytics, machine learning, and AI-driven solutions. Working closely with data engineering, analytics, governance, security, and business stakeholders, you will help shape the organisation's data ...

architecture or related fields. Deep knowledge of modern data architecture, cloud platforms (Azure, AWS, Databricks), ETL/ELT. Experience with metadata management, AI/Machine Learning integration. Strong communication and stakeholder engagement skills. Understanding of information security, privacy, and compliance regulations. Hybrid position in the City of London ...

exciting permanent opportunity has become available working with a fast-growing start-up who are at the forefront of intelligent interaction for accounting, blending machine learning, natural language processing, and human-centred design to create autonomous systems that redefine engagement with technology. As the Full Stack Software Developer ...

years of relevant experience Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus Capacity to multi-task in a fast paced environment while keeping strong attention to detail Coding ...

.- Excellent communication and collaboration skills, combined with a growth mindset and focus on delivering user and business value.Nice to Have:- Understanding of basic machine learning concepts and experience building data pipelines.- Mentorship experience, helping team members grow and contributing to a culture of continuous learning.### Skills Required ...

Technical Experience Experience with the following technologies would be highly advantageous: Scala or Java or Python TypeScript AWS (Amazon Web Services) Exposure to AI, machine learning platforms, data‐intensive applications or cloud‐native architectures would also be beneficial. What’s on Offer? Salary ...

communication skills * Ability to translate data into meaningful business insights * Experience working with large datasets and delivering actionable recommendations * An interest in AI, machine learning or automation technologies * Experience within Retail, Ecommerce, Consumer or Multi-site businesses would be advantageous If you're looking for a role where ...

recommending changes where appropriate Desirable - Experience designing Azure-based Customer data solutions, including storage, transformation, metadata management, orchestration, lineage, and logging. Understanding of Machine Learning/AI applications for Customer personalization. Familiarity with capabilities supported by Databricks for Customer data processing. Experience with Agile delivery methodology Review ...

senior data architecture role Strong knowledge of data architecture principles including data modelling and platform design Experience designing data solutions for analytics, reporting and Machine Learning use cases Experience working within regulated environments (e.g. financial services, insurance, banking) Strong stakeholder management skills with the ability to communicate complex ...

senior data architecture role Strong knowledge of data architecture principles including data modelling and platform design Experience designing data solutions for analytics, reporting and Machine Learning use cases Experience working within regulated environments (e.g. financial services, insurance, banking) Strong stakeholder management skills with the ability to communicate complex ...

operated at Principal or Lead level in an AI focused engineering environment. You will need strong experience designing and delivering AI or machine learning solutions. Hands on experience with LLMs and prompt engineering is important. Experience with cloud platforms is expected and GCP would be ideal. You should ...

agents and agentic workflows. Experience building knowledge management or search platforms. Experience with vector databases and semantic search technologies. Exposure to data engineering and machine learning workflows. Experience taking AI solutions from proof-of-concept through to production adoption. We believe in equal opportunity for all and actively ...

recommending changes where appropriate Desirable - Experience designing Azure-based Customer data solutions, including storage, transformation, metadata management, orchestration, lineage, and logging. Understanding of Machine Learning/AI applications for Customer personalization. Familiarity with capabilities supported by Databricks for Customer data processing. Experience with Agile delivery methodology Review ...

Technical Experience Experience with the following technologies would be highly advantageous: Scala or Java or Python TypeScript AWS (Amazon Web Services) Exposure to AI, machine learning platforms, data-intensive applications or cloud-native architectures would also be beneficial. What's on Offer? Salary ...