1,076 to 1,100 of 2,565 Machine Learning Jobs in London

productivity improvements and cost optimisation through intelligent automation Essential Skills for the Artificial Intelligence Architect: Proven experience architecting solutions across Generative AI, Agentic AI, machine learning and automation Strong understanding of prompt engineering, RAG pipelines, model tuning, MLOps and LLMOps Experience delivering enterprise-scale RAG solutions using LLMs … experience with core GenAI frameworks and agent-based AI concepts Strong deployment experience on at least one major cloud platform including AI and ML services Solid software engineering foundation for building scalable, maintainable AI systems Advanced Python expertise with AI and ML frameworks Experience with MLOps and LLMOps tooling including ...

software stack for engineering and manufacturing. We are seeking a Senior Machine Learning Engineer in Delivery who can lead end-to-end ML deployments, collaborate with data scientists and customers, and drive architecture for scalable data/ML systems. You’ll travel internationally and work in a hybrid ...

guide teams through adopting new practices and ways of working.## ## **What Makes You Unique:*** **AI Subject Matter Expertise:** Direct experience implementing generative AI, machine learning, or automated workflow tools within a CPG marketing function or digital agency.* **CPG & Premium Brand Stewardship:** Marketing experience within a large multinational … consumer packaged goods (CPG), spirits, or premium lifestyle brand environment.* **Curiosity & Innovation:** Champions a culture of curiosity, rapid experimentation, continuous learning, and responsible experimentation #LI #J-18808-Ljbffr ...

model reuse, version control, and deployment efficiency. Lead the design, development, and optimization of conceptual, logical, and physical data models to support analytics, reporting, machine learning, and transactional use cases. Collaborate with data engineering and architecture teams to ensure models are performance-optimized and aligned with storage, compute … Physicalised data models and data products build Contribute to client proposals, RFP responses, and thought leadership related to enterprise data modelling and AI/ML readiness. Skills and attributes for success We’re looking for people with a passion for the delivery of data technology solutions that deliver positive outcomes ...

continuous improvement. Support vendor evaluation and strategic technology partnerships where appropriate. What You BringSignificant experience in Product Management, Product Strategy, Data Products, AI/ML solutions, or related technology disciplines. Experience within financial services, fintech, transaction banking, trade finance, corporate banking, banking channels, payments, or enterprise software environments. Strong understanding … Strong analytical, problem-solving, communication, and stakeholder management skills, with the ability to turn complex requirements into clear product priorities. Exposure to AI/ML technologies, generative AI, workflow automation, analytics platforms, or data-driven product development would be highly beneficial. Knowledge of Trade Finance, Trade Processing, Corporate Banking, Payments ...

J.P. Morgan in London seeks a Vice President Machine Learning Data Scientist to lead design, development, and deployment of ML/AI in Payments. You will own end-to-end delivery from framing problems to scalable MLOps and governance, mentoring engineers and data scientists, and shaping production ...

across the firm. Take the next step in your career. Responsibilities We are looking for exceptional engineers to help us build out a mature ML research and deploy pipeline as part of our ML Workflows team. This is an exciting role. You will develop green‐field solutions to meet highly … complex ML interdependency requirements. Where off‐the‐shelf tools fall‐short, you’ll build custom solutions to define best practice across quantitative research. Future Projects Implementing best practice feature and model stores Properly versioning features, data and models Improving inference compute utilisation via model serving CI/CD for ML ...

that will impact millions of citizensGenerating high-quality training data for national LLMsUpskilling and advisory services to spread the impact of AIScale is hiring ML Research Engineers to bridge the gap between emerging AI capabilities and mission-critical, real-world impact. In our Global Public Sector (GPS) division … beyond standard academic datasets. Advanced Degree: A Master's or PhD in Computer Science, Mathematics, or a related field (with a focus on ML) is preferred, but we value demonstrated impact and engineering excellence. Nice to HavesAgentic Systems Expert: Deep experience in building multi-agent systems, including chain-of-thought ...

Role: Sr. Gen AI ArchitectEmployment : Permanent Location: London,UK - hybrid Skills: Minimum of 7 years of experience in AI/ML architecture or a related role. Proven experience in designing and deploying generative AI models and solutions. Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging … Azure, Google Cloud) and deploying AI solutions in cloud environments. Technical Skills: Proficiency in programming languages such as Python, Java, or C++.Strong understanding of machine learning algorithms, deep learningFull-Time ...

working in a shared-delivery model where tasks are distributed across the wider Data Science team. How You'll Make an Impact Advance our ML-Driven Forecasting: Own, maintain, and continuously enhance our ML-driven revenue growth models. You will be responsible for pushing these models to the next level … data. Champion Best Practices: Lead by example within your team and the broader data community by applying best practices in analytics and machine learning, from data collection to deployment and analysis. What We're Looking For Strong proficiency in SQL and Python with experience building and maintaining predictive ...

commodities trading business? Were seeking Senior Business Analysts who can offer experience of; Working within a Commodities Trading organisation Working on delivering AI, ML or highly advanced data analytics solutions Were seeking the above because as a Senior BA youll be acting as an important bridge between business and technology … capability maps, acceptance criteria and business outcomes. Drive solution alignment across business, product and engineering teams. For context any relevant Data/AI/ML projects experience that aligns well with the below should be highlighted in your CV. Experience delivering AI, Machine Learning or Advanced Analytics solutions. ...

/ELT tools such as Fivetran or Airbyte Experience designing and operating production data pipelines, including CI/CD practices for data and ML workflows Strong engineering fundamentals: version control, testing, monitoring and documentation Comfortable working directly with AI coding assistants (e.g. Claude, Claude Code, GitHub Copilot) as part … deterministic or probabilistic matching pipelines Experience with event streaming architectures (e.g. real‐time ingestion, sub‐second/sub‐minute latency pipelines) Exposure to productionising machine learning or forecasting models (e.g. XGBoost, AutoGluon, Meridian, Robyn) built by data scientists Experience with reverse ETL and activation into media ...

improvement. Support vendor evaluation and strategic technology partnerships where appropriate. What You Bring Significant experience in Product Management, Product Strategy, Data Products, AI/ML solutions, or related technology disciplines. Experience within financial services, fintech, transaction banking, trade finance, corporate banking, banking channels, payments, or enterprise software environments. Strong understanding … Strong analytical, problem-solving, communication, and stakeholder management skills, with the ability to turn complex requirements into clear product priorities. Exposure to AI/ML technologies, generative AI, workflow automation, analytics platforms, or data-driven product development would be highly beneficial. Knowledge of Trade Finance, Trade Processing, Corporate Banking, Payments ...

Connect is seeking a Senior Machine Learning Engineer to design, deploy, and optimize Conversational AI and Data Analytics platforms. You will bridge AI research and production, focusing on scaling ASR, TTS, and LLM pipelines across hybrid cloud and edge environments. You will implement production … grade pipelines, containerize workflows, and contribute to MLOps, AI model serving, and API development. The role requires deep expertise in Python, PyTorch, and modern ML tooling. #J-18808-Ljbffr ...

consumer lending, and regulatory considerations Proficiency in SQL and at least one modelling/programming language (Python, R) Experience with A/B testing, machine learning, collections modelling and churn management Ability to translate complex analyses into clear recommendations for business stakeholders High ownership mindset and comfort working … work on innovative and impactful projects A dynamic, diverse, and collaborative environment where every team member’s voice is recognised and valued Continuous learning and career growth opportunities Competitive salary, individual performance bonuses, and firmwide performance bonus The company covered health insurance plans Pension plans What to expect ...

Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion. All of our collectives are doing innovative work, many of which have machine learning and AI at the forefront—from fighting financial crime to building smarter financial tools—and you may have the opportunity to join … your skills, experience, preferences and aligning with the business need! Our backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, we’d love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering ...

Creandum is looking for a Staff Machine Learning Engineer to build and scale ML systems for content understanding across audio, video, text, and images. In this pivotal role, you will develop models to enhance content quality and safety, ensuring high-quality experiences for users. This position offers flexibility ...

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 ...

Skills Senior product management experience for technical platform or infrastructure products, delivering complex roadmaps in regulated environments with minimal oversight. Strong understanding of the machine learning lifecycle and what it takes to move models and AI applications from experiment to production. Outstanding stakeholder management and influence; builds trust … requirements into product strategy and execution. Excellent written and verbal communication skills in English. Preferred Qualifications, Capabilities & Skills Product management experience for AI/ML, MLOps, or data platforms. Familiarity with MLOps concepts and frameworks, such as MLflow, Amazon SageMaker, and feature stores. Familiarity with AI concepts, such as Retrieval ...

business recommendations Experience presenting insights and recommendations to stakeholders or clients Strong communication skills with the confidence to engage directly with customers Understanding of machine learning techniques and model development lifecycle Experience working with Databricks would be highly advantageous Exposure to cloud-based analytics environments, particularly Azure … collaboration across Data Science, Analytics, and Product teams Clear opportunities to develop both technical and client-facing skills A supportive environment that encourages continuous learning and professional growth How to Apply If you're a Data Scientist looking to work on impactful predictive modelling projects while developing your client ...

learn new things.**It is also considered a bonus if you have:*** Understanding of service-oriented architectures and building cloud-based products.* Experience with Machine Learning, Computer Vision, AI technologies.* We are looking for a team player who thinks holistically, enjoys solving complex problems and thrives working autonomously … scheme.* Employee stock purchase plan.* Flexible working options.* Private medical care.* Life assurance.* Enhanced maternity and paternity pay.* Career development support and wide ranging learning opportunities.* Employee health and wellbeing support EAP, wellbeing guidance etc.* Carbon neutral initiatives/goals.* Corporate social responsibility initiatives including support for volunteering days. ...

related experience).Programming experience in Python and/or R, with the ability to produce well-structured, testable code. Experience working with AI/machine learning models, including understanding model design, limitations, performance monitoring and validation considerations. Comfortable working with autonomy and ownership—proactive in identifying weaknesses, escalating … enthusiastic, with a strong sense of ownership and accountability. Client-focused and pragmatic, balancing rigorous analysis with practical outcomes. Curious, adaptable and committed to learning, with openness to new ideas and approaches. A strong critical thinker, able to evaluate issues from multiple perspectives and make sound, evidence-based judgements. ...

source of process for its own sake. You're technically fluent enough to hold your own with strong engineers: you can translate an ML model, a streaming architecture or a latency constraint into a business trade-off a stakeholder can act on, and tell a real architectural limit from … thinking - able to see the big picture and make connections across teams and issues. Technical acumen: the ability to translate highly technical engineering constraints (machine learning models, streaming architectures, latency) into clear business trade-offs for non-technical stakeholders. Deep domain fluency in identity and access management, subscription ...

following structured branching, pull request, and code review workflows. Familiarity with or a strong interest in the application of AI and agentic frameworks, and machine learning principles to generate conversational analytics, predictive and advanced marketing insights. Comfortable working in modern cloud data environments (e.g., Snowflake, BigQuery, Databricks, Fabric … solutions. Leadership and mentorship: Proven experience in coaching and mentoring junior team members. You actively foster a culture of technical excellence, collaboration, and continuous learning within the team. Autonomy and critical thinking: You are a self-starter who can think critically, identify issues and opportunities autonomously, and take ...