26 to 50 of 102 Machine Learning Jobs in Central London

ahead in a fast moving market. What you'll do: Lead the development and maintenance of predictive models (GLMs) and price optimisation techniques, including machine learning algorithms (GBM), Lifetime Value models (LTV), and fair pricing principles. Provide technical leadership on WTW Radar and Emblem, driving effective and efficient … continuous improvement. What we're looking for: Previous experience in general insurance pricing. Strong technical expertise in predictive modelling techniques (e.g. GLMs and machine learning models). Proficiency in programming languages such as R, Python, PySpark, SAS, or SQL. Good knowledge of Azure Databricks and modern data technologies. ...

well-documented, and aligned with governance standards. Contribute to data quality improvement, monitoring, and issue resolution activities. Collaborate with wider data teams to support machine learning, predictive analytics, and AI use cases. Follow established deployment, governance, and change management processes. Requirements Experience delivering data engineering solutions within … discipline, or equivalent commercial experience. What's on Offer Opportunity to work on a modern cloud-based data platform. Exposure to analytics, AI, and machine learning initiatives. Collaborative environment with a strong focus on data-driven decision making. The chance to contribute to the ongoing evolution of enterprise ...

role also offers exposure to areas such as data warehousing, self-service reporting, data governance and the technical preparation needed for ethical AI and machine learning activity. The organisation offers a strong benefits package, and the hybrid pattern provides a sensible balance between office collaboration and focused work … would also be beneficial, as would familiarity with public sector, economic development or strategic reporting frameworks. Knowledge of ethical AI or preparing data for machine learning would also be relevant. This is a hybrid role based in Central London, with 1-2 days per week expected ...

within your specialist market. Manage candidates throughout the recruitment process, from initial approach through to offer and onboarding. Develop strong market knowledge across AI, machine learning, software engineering and adjacent technology disciplines. Use a combination of LinkedIn, headhunting, referrals, networking and creative sourcing strategies to identify hard … Looking For 2–5 years' recruitment experience , with strong tenure and a proven track record of delivering consistently. Experience recruiting within AI, Machine Learning, Data, Software Engineering or another closely adjacent technology market . Strong delivery capability, with genuine confidence in sourcing and headhunting. Experience recruiting for roles ...

relevant backgrounds may include: Fixed Income/Credit Quantitative Analyst Fixed Income/Credit Quantitative Developer Fixed Income/Credit Data Engineer/Machine Learning SME Fixed Income/Credit Research Analyst Fixed Income/Credit Portfolio Manager Investment Technology, or Front Office Strategy Specialist within a Hedge … technologies. Key Requirements Strong understanding of Fixed Income and/or Credit products and investment processes. Hands-on exposure to AI, machine learning, data engineering or workflow automation. Strong analytical, numerical and problem-solving capabilities. Experience building or working with custom GPTs, AI assistants, connectors or AI-enabled ...

exceptional engineers with groundbreaking businesses that are shaping the future. We operate across Cloud (DevOps, SRE, Platform Engineering, DevSecOps, Performance Engineering) and Data & AI (Machine Learning, MLOps, Data Engineering, AI Research, and related domains). Through our portfolio of innovative startups and our corporate venture arm (Harrison Clarke … experience placing technical talent into startups or technology companies Strong domain knowledge or demonstrable interest in Cloud, Data, AI, DevOps/SRE, Platform Engineering, Machine Learning or related fields Excellent stakeholder management skills, comfortable engaging at founder and senior engineering leadership level Entrepreneurial attitude with a genuine desire ...

things well: deliver high-impact technical training to corporate clients, and coach apprentices through to successful completion. If you've got strong AI/ML/Data expertise and enjoy both classroom-style delivery and 1-2-1 learner support, this is a broad, high-visibility role with real autonomy …/Data curriculum evolves. The role: Design and deliver technical learning content across AI, Machine Learning and Data Science — covering Python, ML frameworks, cloud platforms and applied AI use cases Work directly with corporate clients to understand capability gaps and shape tailored, blended learning solutions across ...

deployment processes using modern DevOps tools (e.g., Git, Docker, Helm, CI/CD pipelines). Collaborate with the Data Science team to help integrate ML-driven analytics into front office workflows. Qualifications: Currently pursuing a Bachelors or Masters degree in Computer Science, Engineering, Management Information Systems, or related technical field ...

combine strong technical capability with a consulting mindset, enjoying the challenge of solving complex business problems through AI.You'll have: Significant experience leading AI, machine learning, or agentic AI projects from concept through production. Strong software engineering skills using languages such as Python or TypeScript. Experience designing cloud ...

Senior Data Modeller , you will play a key role in designing, developing and maintaining enterprise data models that enable analytics, reporting, AI, machine learning and business intelligence initiatives. You will translate complex business requirements into scalable, high-quality data solutions, ensuring data is structured, governed and optimised ...

Working knowledge of DevOps practices, infrastructure as code, and automated testing for data pipelines. Desirable Databricks Certifications highly desired (e.g., Data Engineer, Data Analyst, Machine Learning, or Architect). Experience delivering governance frameworks, catalogue implementations, and operating models. Exposure to MLOps and analytics enablement. ...

metrics, and release assurance Ensure compliance with accessibility, security, and performance standards Key Skills & Experience Essential Strong experience delivering quality assurance for AI/ML solutions across the full lifecycle Hands-on expertise with Microsoft-based environments (e.g. Azure testing tools, AI platforms) Proficiency in one or more: Python, Java ...

networking . Ability to take ownership of production systems and drive continuous improvement initiatives. Desirable: Microsoft Azure experience. Experience deploying and supporting AI/ML applications in production environments. Exposure to Large Language Models (LLMs), NLP, or agent-based systems. Experience with observability and monitoring tools such as Sentry , Prometheus ...

Purview, Entra ID, DLP, or Insider Risk tools Understanding of ISO 27001, Agile ways of working Knowledge of statistics, data science, or AI/ML applied to cybersecurity Relevant certifications (MS-500, AZ-500, SC-series, Security+, GSOC, CCSK) Perks & Benefits Hybrid/remote working options Flexible benefits package Opportunity ...

Establish programme governance, reporting, metrics, and delivery mechanisms to provide transparency and drive accountability **Coordinate the development and deployment of data platforms, AI/ML capabilities, data quality solutions, and operational workflows **Ensure adherence to data governance, security, privacy, regulatory, and AI risk management requirements Skills & Experience: **Strong experience leading … large-scale technology, data, or AI programmes **Proven experience delivering enterprise data platforms, analytics, AI/ML, or digital transformation initiatives **Strong understanding of data management, data governance, cloud platforms, analytics, and AI/ML lifecycles **Strong experience with data quality, metadata management, master data management, knowledge graphs, or data ...

Understanding of data architecture concepts, including data warehousing and data lakes. Exposure to cloud computing environments such as Microsoft Azure. Exposure to predictive analytics, machine learning, AI-enabled analytics or advanced statistical methods. Experience working with customer, commercial, subscription, product usage or behavioural datasets. Behaviors and Mindset: Demonstrates … reliable. Works collaboratively across Customer Insights, Product, Commercial, Technology and Data teams to build a more joined-up view of the customer. Shares learning openly, seeks input from others and helps translate business questions into clear analytical approaches. Acts with agility by adapting to changing priorities, working through ambiguity ...

operate as a business, rather than being treated as a standalone specialism. You should understand the fundamentals of Generative AI, agentic AI, machine learning and AI-enabled automation sufficiently to manage programmes where these capabilities form part of the solution. Experience delivering AI, automation or data-enabled transformation ...

guide product improvements and communicate results to stakeholders Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures Communication skills:Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership Knows ...

product lifecycle. Skills & Experience Needed Strong Data Product Management experience, ideally within AI, analytics or machine learning products. Good understanding of AI, ML and emerging Agentic AI concepts and their business applications. Ability to translate business challenges into product opportunities and roadmaps. Excellent stakeholder management and communication skills. ...

team with access to cutting-edge multiomic and interventional datasets, advanced computational infrastructure, and deep interdisciplinary expertise, and a culture that embraces modern ML tooling, including agentic workflows, to accelerate research iteration. The role exists to drive imaging data science: curate training-ready imaging datasets, design evaluation that distinguishes biological … will Curate training-ready imaging datasets across cell painting and brightfield assays. Drive evaluation design for imaging modalities in close partnership with ML and data scientists. Surface what models learn about cellular morphology, identify failure modes, and feed findings back into modelling decisions. Partner with wet lab assay teams from ...

support population health management and analytics. This is an excellent opportunity to contribute to products that help improve healthcare outcomes through advanced analytics and machine learning. This is initially a 2-month contract , with the potential for extension or a longer-term opportunity for high-performing consultants. Key Responsibilities … PySpark (essential). Experience designing and building analytics/data pipelines. Strong SQL skills and experience working with large datasets. Experience developing and deploying machine learning models. Experience collaborating with cross-functional engineering and product teams. Highly Desirable Experience working with NHS, healthcare, or population health data. Population ...

needs and business plans that extend to our global markets. Empower Business Initiatives and facilitate decision making from both a user-centric perspective and machine learning capability. Minimum Qualifications: Recent 5+ years of experience in product management (mobile apps and web apps) in creating/mapping customer user ...

including Git, testing, CI/CD, and configuration-as-code. Proficiency in SQL, PostgreSQL, JSON/YAML, and Python. Experience in developing AI/ML solutions using third-party platforms and APIs. Systems thinking with experience in running production data or AI systems. Knowledge of RESTful APIs, cloud services ...

enabled services, coordinating cross-functional teams of data/knowledge analysts, engineers and product specialists. Manage delivery of AI solutions leveraging automation capabilities, machine learning, natural language processing, generative and agentic AI, from initiation through to handover. Oversee integration of AI capabilities into existing enterprise systems … tracking velocity, quality and technical debt with the engineering team. Manage cross-team dependencies across data pipelines, APIs and cloud infrastructure, working closely with ML engineers and platform teams. Experience At least 12 years IT industry experience across project and programme management and service delivery, including delivering AI-enabled, digital ...

commercial customers, and is scaling quickly as the product goes to market. The role The successful candidate will work across the AI and ML systems behind the platform. The team is small, so the focus can chage week to week and the role offers real breadth from day one. That … needed A strong degree in computer science or a related STEM subject from a leading university Hands on exposure to LLM APIs or machine learning through projects, internships or placements Curiosity and the instinct to dig into the data when something looks wrong Experience with Go, Python ...