226 to 250 of 459 Machine Learning Jobs in London

leadership, including acting as a key partner to the Director of AI Y our Skills and Experience * Strong commercial experience in AI engineering or machine learning, ideally evolving from a data science background * Proven experience building and deploying LLM based applications in production environments * Experience working with cloud ...

processes Experience with Python or R for advanced analytics, automation, or experimentation Knowledge of statistical methods and experimentation (A/B testing) preferred Machine learning and Generative AI experience is a plus Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical ...

processes Experience with Python or R for advanced analytics, automation, or experimentation Knowledge of statistical methods and experimentation (A/B testing) preferred Machine learning and Generative AI experience is a plus Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical ...

with backlog ownership Ability to translate complex technical concepts into business value Strong stakeholder management and communication skills Desirable experience Exposure to AI/Machine Learning within data platforms Experience in regulated or data-sensitive environments Knowledge of data governance and risk frameworks Experience supporting large-scale platform ...

market strategies and sales performance Data Science & Modelling Design, develop, and iterate on predictive models that drive measurable business impact Apply statistical and machine learning techniques to large, complex datasets Ensure models are scalable, interpretable, and aligned with business needs Data Collaboration & Enablement Work closely with Data Engineering ...

industry: meet the most innovative partners, deliver cutting-edge projects, and see the industry from backstage. Sooner than you think, you’ll talk about Machine Learning, DevOps and AI like a pro. Progress: Every day offers new challenges and new opportunities to learn. At Artefact, we take training ...

with LLMs, Generative AI, NLP, or AI-powered digital products. Expert understanding of conversational design frameworks, prompt design, and dialogue management. Experience working alongside Machine Learning, Data Science, or AI Engineering teams. Strong analytical mindset with experience using data and experimentation to drive decisions. Knowledge of AI governance ...

consultative approach with clients to win new work. Proven experience delivering AI solutions in complex environments. Strong technical knowledge of AI for example, Machine Learning, AWS AI, Azure AI, GenAI and Agents. Experience with digital assistant solutions enhanced by AI such as Microsoft Copilot. Demonstrable experience with Retrieval ...

data collection and research at their institutions. Run technical quality checks on incoming data, and pre- and post-processing of datasets prepared for the machine learning teams. Manage data platforms for HIPAA-compliant data collection and processing. About you We are looking for somebody who is excited ...

integrating with enterprise systems./li li Comfortable with Python./li li Familiarity with common LLM frameworks and tools, or a background in machine learning or data science./li li Excitement for engaging in cross organisational collaboration, working through trade offs, and balancing competing priorities./ ...

event-driven architectures Strong consulting and stakeholder management experience, with the ability to bridge business and technical teams Knowledge of AI/ML enablement platforms and supporting infrastructure such as AWS SageMaker Strong leadership, communication, delivery governance, and programme management capabilities If this sounds you, please apply ...

stakeholders Familiarity with AI tools to accelerate your own workflow Preferred Skills Dagster or Airflow experience is a nice to have Any exposure to ML workflows or real-time pipelines Pay range and compensation package £100,000 to £130,000 base salary plus equity, with annual top-ups. Private health ...

Factory. Snowflake Toolkit: Hands-on with Snowpipe, Streams, Tasks, Dynamic Tables, and Stored Procedures. Nice to Have: Exposure to DBT, Snowpark, Snowflake AI/ML, Airflow, and Snowflake administration (RBAC, warehouse sizing). Mindset: Strong problem-solving abilities with an ownership mindset for end-to-end delivery. This ...

Article 15. Technical Requirements AWS Bedrock Expert: Hands-on experience with Bedrock Agents, Knowledge Bases, and model lifecycle management. AI/ML Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP ...

pharma, biopharma, or large-scale manufacturing/supply chain./li li Strong technical fluency: data engineering & pipelines, cloud platforms, data science & AI/ML product delivery, MLOps/DataOps principles./li li Skilled at influencing product direction across cross functional, multi-region teams./li li A strategic ...

Request, Knowledge) and working knowledge of ITOM components (Discovery, CMDB, Event Management, Service Mapping). Advanced Modules: Demonstrated experience with CSM, Service Bridge, and ML Ops principles for AI model lifecycle management. Web Development: Experience with Service Portal development, including HTML, CSS, AngularJS, and Glide scripting. Technical Components : Familiarity with ...

/CD, automation, and platform reliability Running production workloads with high availability requirements Plus, experience with one or more of the following: MLOps or ML platform engineering RAG architectures, embeddings, or vector search Model serving, observability or performance optimisation Data/AI workflow orchestration in Databricks or similar ecosystems ...

Life, Health, and P&C insurance. Drive adoption of AI and automation for efficiency and risk reduction. Lead digital initiatives using data, analytics, and ML models. Collaborate with internal teams to deliver measurable business outcomes. Qualifications: Bachelor s degree in Business, Technology, or a related field; MBA preferred. ...

accelerators, and reusable frameworks as the CoE scales What We’re Looking For Minimum 3 years’ experience building and deploying Generative AI or applied ML systems Strong hands-on engineering background – you actively code, build, test, and deploy Experience with: RAG architectures and vector databases Hugging Face models, pipelines ...

Professional insurance designations (CPCU, AIC, or similar) Experience with API-first architectures and system integrations Knowledge of InsurTech trends including automated underwriting, Gen AI & ML applications, and digital distribution channels Understanding of actuarial concepts and rating algorithm implementation Experience with cloud-based Insurtech solutions and SaaS/PaaS delivery models ...

chain planning. Deep domain knowledge of retail/CPG business models, performance metrics, and seasonal dynamics. Strong technical fluency in data platforms, AI/ML, and cloud technologies. Demonstrated ability to grow client relationships, influence leadership, and deliver commercial impact. Experience in pre-sales, proposal development, and thought leadership within ...

Proven ability to troubleshoot complex data pipelines and platform issues Experience migrating data from diverse sources (RDBMS, SAP, Salesforce, GIS, PI Historian) Exposure to Machine Learning, Generative AI, and Agentic AI Strong … stakeholder engagement and collaboration with BI/analytics teams Nice to Have: Experience within the Energy/Utilities sector Hands-on experience with Azure ML or advanced analytics platforms Prior involvement in large-scale data transformation or data strategy programmes If you're interested in this role, click 'apply ...

Deliver clear handover documentation outlining model status, limitations and recommended next steps. Your Skills & Experience Strong experience building, maintaining and productionising data science and machine learning models. Confident working with Python … modern analytics or data science environment. Solid SQL skills and experience using transformation frameworks such as dbt. Experience working with cloud-based data and ML platforms such as Databricks. Comfortable owning existing models, improving reliability and driving stakeholder adoption. Familiarity with version control using Git. Exposure to customer analytics, retention ...

traction and are now operating at enterprise scale. Their products are widely adopted across industries, with a strong focus on innovation in AI and machine learning. The environment is collaborative, product-led, and focused on delivering measurable outcomes. The Role Define and build evaluation frameworks to measure the performance … commercial experience in data science or product analytics within a product-led organisation Advanced proficiency in Python and SQL Experience working with AI or machine learning products, particularly NLP or text-based data Strong understanding of experimentation, evaluation frameworks, and statistical analysis Ability to work with large, complex ...

solutions; strong familiarity with Microsoft 365 and the Power Platform is advantageous. Knowledge of AI and data-driven solutions (including Generative AI, NLP and machine learning) and their practical application to legal workflows. Strength in requirements gathering, solution scoping, process mapping and change management; able to translate complex … manage multiple engagements, prioritise effectively and see initiatives through to completion. Credibility and intellectual rigour, with strong listening skills and a commitment to continuous learning and innovation. Confident, positive approach; comfortable interacting with individuals at all levels of the organisation. ...