376 to 400 of 599 Machine Learning Jobs in London

investment banking areas. The ideal candidate will have significant experience in AI engineering and investment banking, with a solid understanding of data science and machine learning. This role offers a hybrid work model and a competitive salary, alongside a range of employee benefits aimed at promoting a supportive workplace ...

data and AI initiatives. This role requires expertise in Generative AI and large language models, alongside a strong background in customer behaviour analytics and machine learning. The ideal candidate will have exceptional project management skills and experience in building cross-functional teams to deliver transformative solutions. Flexible working arrangements ...

model accuracy, and work closely with cross-functional teams. The ideal candidate will have over 7 years of experience in data science and applied ML, possess strong mathematical skills, and be proficient in Python and SQL. A commitment to diversity and equal opportunity is paramount. #J-18808-Ljbffr ...

trading, analytics or modelling Strong knowledge of Gas, LNG & Power markets Experience with Python (pandas, NumPy) and data-heavy environments Understanding of forecasting/ML workflows Strong stakeholder and Agile delivery skills ...

Kubernetes, Kafka, React, LLMs The role requires strong experience in a back-end language, solid SQL skills, and a good understanding of AI/ML in production environments. You should be comfortable working across both technical and business domains, with a track record of delivering scalable systems. This ...

cost Build evaluation frameworks for model quality and relevance Integrate LLM systems into production environments Required Skills & Experience 4+ years in AI/ML engineering Strong Python Experience with LLMs and generative AI systems Experience with vector databases (Pinecone, Weaviate, FAISS, etc.) Experience building production AI systems Nice to Have ...

implementing scalable, multi-source data pipelines and architecture About you: Strong experience with Python and AWS Deep knowledge of data pipelines, AI/ML systems and modelling Experience with LLM- or NLP-powered platforms Strong focus on scalable, reliable system design Please apply now and reach out to Adam ...

tooling (e.g., Jira) Hands-on experience with a range of databases and storage technologies: Elastic, Mongo, Cassandra, Redis, S3 Desirable Skills PyTorch, AI/ML, NLP, LLMs Experience with the Atlassian Suite, GitHub, Linux CLI Broader data handling and advanced model-driven development exposure To learn more, please do reach ...

problem-solving, organizational, interpersonal, communication, and motivational skills; ability to thrive under pressure while supporting team well-being. AI Familiarity : Knowledge of AI/ML tools or concepts (e.g., supporting AI-driven support agents or diagnostics). ...

e.g., Jira) Hands-on experience with a range of databases and storage technologies: xehkeey Elastic, Mongo, Cassandra, Redis, S3 Desirable Skills PyTorch, AI/ML, NLP, LLMs Experience with the Atlassian Suite, GitHub, Linux CLI Broader data handling and advanced model-driven development exposure To learn more, please do reach ...

sales pipeline Stay up to date with market trends and emerging technologies Key Services AI-led digital transformation Intelligent product development AI/ML integration Agile DevOps Legacy system modernisation Low-code application development Skills & Experience 13 years experience in sales or client-facing roles (ideally within IT or technology ...

lifecycle of data-intensive platforms and AI solutions aligned with AIPX architecture. Technical Direction: Provide guidance across cloud engineering, data modeling, and ML model monitoring. Engineering Excellence: Enforce best practices in coding standards, DevOps/MLOps pipelines, and automated SDLC. Stakeholder Management: Translate complex business requirements into actionable technical backlogs ...

troubleshooting, and stakeholder engagement capability. Good to Have UIPath Certifications (RPA Developer Advanced, Solution Architect). Knowledge of AI automation, Document Understanding AI, and ML-based extraction. Familiarity with cloud Orchestrator (Azure/AWS) and containerized bots ...

/automation best practices and frameworks Key Skills & Experience Proven experience delivering AI, automation, or digital transformation programmes Strong understanding of AI/ML and intelligent automation technologies (e.g. RPA, NLP) Excellent stakeholder management and communication skills Experience working in Agile delivery environments Ability to bridge the gap between technical ...

tooling (e.g., Jira) Hands-on experience with a range of databases and storage technologies: Elastic, Mongo, Cassandra, Redis, S3 Desirable Skills PyTorch, AI/ML, NLP, LLMs Experience with the Atlassian Suite, GitHub, Linux CLI Broader data handling and advanced model-driven development exposure To learn more, please do reach ...

systems that process real-time data from distributed edge devices Lead technical decisions across architecture, tooling, and system design Collaborate with data scientists and ML engineers to deploy models into production Mentor engineers and contribute to engineering best practices Improve observability, monitoring, and incident response processes Write maintainable, well-tested ...

product and founders, and being part of something early with serious upside this is exactly that. Required Skills: 25 years experience in AI/ML Engineering or Applied AI roles Experience building or deploying LLM-driven applications or tools Strong Python skills and familiarity with modern AI tooling Understanding ...

Communication: Clear, compelling communicator able to generate alignment and energy, even in challenging decision scenarios. Data Savvy: Solid understanding of customer data, AI/ML capabilities and data platforms; technically curious with awareness of emerging trends. Proactive & Pragmatic: Self-starter with strong judgement, able to deliver clarity in ambiguity, make ...

Program Increment (PI) cycles Champion best practice across data products, including: BI dashboards and reporting Data APIs and feeds Cloud and hybrid data platforms ML models and services Data models and governance frameworks Master data management Act as the voice of the Data Platform, aligning technical capability with business demand ...

SaaS pre-sales (vs. pure services consulting) Experience with automation tools, infrastructure-as-code (Terraform, CloudFormation), or DevOps practices Understanding of AI/ML concepts and emerging agentic AI architectures Equal Employment Opportunity Trianz is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed ...

solid ROS2 experience * Strong understanding of kinematics, estimation, optimisation, geometry and transformation management (TF2) Desirable experience includes semantic mapping, distributed systems, DDS middleware and ML-driven scene understanding. This role would suit a senior engineer who enjoys solving complex spatial problems, influencing architectural direction and seeing their work deployed ...

Data Science to develop a growing team of data scientists and set the technical direction for data initiatives. This role will involve transitioning towards machine learning engineering, ensuring model ownership from … research to deployment, and collaborating with senior stakeholders across multiple domains. Ideal candidates have proven leadership in data science and a strong background in ML model deployment. This role offers a competitive salary in a dynamic environment. #J-18808-Ljbffr ...

CVPR, ICCV, or ECCV and is eager to apply that experience in a fast-paced, applied R&D environment. Requirements PhD in Computer Vision, Machine Learning, Robotics, or a related field. Strong research background in object detection, tracking, segmentation, or visual understanding, VLM's, VLA's Proven record … publications in CVPR, ICCV, ECCV, or comparable conferences. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. 1-3 years industry experience. What We Offer Competitive salary and equity package. Access to high-performance computing infrastructure. Opportunities for publication, collaboration, and attending top-tier conferences. ...

should have a bachelor’s degree or higher in a STEM subject (or equivalent portfolio/work experience). You must have familiarity with ML frameworks such as scikit-learn, PyTorch and a strong grasp of statistical inference, hypothesis testing and experimental design. In your career so far, you will … have ideally gained hands-on project experience of implementing at least 1 machine learning algorithm and will have the ability to interpret and explain complex analysis in simple terms to stakeholders and team members (expert and non-expert alike). The business has offices across ...

Data Scientist – Energy & Production ML Climate Tech Startup | London, UK (Hybrid) About the role We're hiring a data scientist who ships. You'll own the full lifecycle of your work: from research and prototyping through to production deployment, monitoring, and iteration. You'll build machine learning models … that operate reliably at scale, controlling thousands of EV chargers, batteries, and heating systems. We use real-time market data and ML to shift energy consumption to times when it's cheaper and greener. This is 50/50 data science and production engineering. You'll write clean Python code ...