451 to 475 of 2,937 Machine Learning Jobs in London

Software Developer (Python, JavaScript, ML) - London/Hybrid Day rate: £500 - £800 (inside IR35) Duration: 6 - 12 months Start: ASAP Hybrid: 3 days on site per week About the Role My client is looking for a Software Developer with AI, Python and JavaScript experience to join on a contract basis. … digital products, ensuring seamless user experiences. Collaborate with AI specialists to test and deploy models, ensuring they meet performance, security and scalability requirements. Continuous Learning and Improvement – Stay up to date with the latest AI and machine learning technologies, incorporating new tools and techniques into your development ...

unique is welcome; join us and let’s build what’s next - together! Role Overview We are seeking a Platform Lead to spearhead our ML Ops infrastructure, cost-optimisation, and deployment strategies. You will manage a talented team of DevOps engineers while remaining deeply technical and hands-on. Your primary … mission is to build, scale, and secure the foundational platforms for our machine learning (ML) and generative AI (GenAI) models while maintaining financial accountability. Your Impact Team Leadership & Collaboration: Lead and manage a dedicated DevOps team, mentoring both junior and senior engineers while collaborating closely with Data Science ...

orchestration, state and context management, failure handling, human-in-the-loop experiences, and operational controls Define validation approaches and success measures for AI and ML products, using appropriate offline and online metrics, experimentation, quality thresholds, error analysis, and business impact measures Use customer, campaign, and product data to identify opportunities … Science, or related technical field; or equivalent related professional experience 8+ years of product management experience, including significant ownership of data, platform, automation, AI, ML, or decisioning products Demonstrated experience taking AI or ML capabilities from problem definition or prototype through production launch and ongoing operation at scale Strong understanding ...

innovative data scientist within the Data Science team, you will design and implement ML solutions to enhance investment processes, elevate client experiences, and streamline operations. Initially,you will be focused on developing solutions to support our ESG and Stewardship functions with a heavy focus on content extraction, search and principals … qualifications, capabilities, and skills Master's degree or a PHD in Computer Science or Engineering or quantitative or STEM discipline. Experience delivering AI/ML product and managing stakeholder relationships Proven experience in NLP and working with LLMs Proficiency in programming languages such as Python and familiarity with ML libraries ...

data teams to deploy and operate AI workloads efficiently. What you'll be doing: Building and managing cloud-native infrastructure to support AI and ML applications. Designing and maintaining Kubernetes environments for production workloads. Developing and managing Infrastructure as Code using Terraform. Supporting CI/CD pipelines and platform automation … initiatives. Improving platform reliability, observability and scalability. Collaborating closely with Software Engineers, Data Engineers and ML teams to optimise deployment workflows and infrastructure performance. Essential experience: Strong commercial experience with Kubernetes. Hands-on experience building Infrastructure as Code using Terraform. Experience working with cloud platforms such as AWS, Azure ...

Faculty Science Limited is seeking a Machine Learning Engineer to bring production-grade ML solutions to real-world client projects. You will help design scalable software architectures, validate technical feasibility, and ensure timely delivery of high-quality ML systems in collaboration with cross-functional teams. The role requires … hands-on experience with ML lifecycles, Python, cloud platforms, and container orchestration, along with the ability to communicate complex concepts to both #J-18808-Ljbffr ...

opportunities to thrive. Win as a Team: We’re looking for a Machine Learning Engineer to help build and run production-ready ML systems that make a real impact across the business. You’ll work closely with Data Scientists and engineering teams, shaping the ML roadmap, developing scalable … driving innovation while growing your career. You’ll make an impact by: Office location – London or Horsham, 3 days a week. Build and automate ML pipelines for feature engineering, model training, and model scoring using Python, PySpark, Databricks, and MLflow. Productionise Data Science models, converting notebooks into modular, tested, production ...

projects.* Provide technical guidance and support to junior analysts.* Be proficient in Python, stay up-to-date on the latest advancements in AI and machine learning.* Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop … need*** Bachelor's degree (2:1 or above) in a numerical subject (Computer Science, Mathematics, Statistics, Physics, Engineering).* Solid experience in data analysis, machine learning, and AI development.* Hands-on experience with cloud-based AI platforms and tools.* Proficiency in programming languages such as Python and SQL. ...

bridge. You partner with the wet lab team to design experiments with computational endpoints in mind, and with the data engineering and ML teams in London to ensure smooth data handoff. Your Background PhD in computational biology, bioinformatics, microbial genomics, or a related quantitative life-science field; or MSc with … environment. Nice to Have Experience building reproducible pipelines with Nextflow, Snakemake, or similar. Familiarity with machine learning concepts and comfort collaborating with ML engineers on feature engineering or model evaluation. Experience with metabolomics data processing or LC-MS-based workflows. (This is a significant focus area for us. ...

business value while at the same time minimizing cost of ownership of our technology estate. Responsibilities and Impact Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment. Design, build, and operate … degrade or fail in production. Partner closely with engineering, data platform, product, and business teams to translate complex analytical problems into scalable, production-ready ML systems that deliver measurable operational and business outcomes. Act as a hands‐on technical authority and multiplier, reviewing models, guiding senior practitioners, improving data quality ...

scale Required qualifications, capabilities, and skills PhD in Computer Science, Engineering, or related fields Programming skills in Python Proficient understanding of fundamental AI and ML techniques Practical experience with statistical data analysis and experimental design Curiosity, creativity, resourcefulness, and a collaborative spirit Effective verbal and written communication skills with technical … teams with diverse backgrounds Interest in problems related to the financial services domain Preferred qualifications, capabilities, and skills Research publications in prominent AI/ML, Software Engineering venues (e.g., conferences, journals) Practical experience with ML platforms such as TensorFlow/Keras, PyTorch Comfort with rapid prototyping and disciplined software development ...

demand and decide network handovers. That's 10+ models running in the critical path of a live logistics network where quality is non-negotiable. ML Stack Highlights Python and Rust. We keep things simple but use the right tool for the job Rust with ONNX in-process model execution where … Kubernetes, with extensive use of BigQuery The Opportunity As a Senior Machine Learning Engineer at Relay, you'll: Own critical part of ML: productionising of our models end-to-end, from training pipeline through live integration to measured business impact. Build and mature our ML Platform. Evolve ...

Gravitas Group is seeking an AI/Machine Learning Engineer to join a small, agile team developing cutting-edge … solutions in a dynamic environment. The role focuses on building and deploying machine learning models, primarily in Gen AI and classical ML, supporting the company's innovative projects. You will prototype models, build production pipelines, and work across Gen AI and classical ML to deliver robust, scalable solutions ...

Software Engineer III at JPMorgan Chase within the International Consumer Bank MLOps team, you will design, build, and deploy scalable AI/ML solutions that promote innovation and enhance the banking experience. You will collaborate with data scientists, product managers, and engineering teams to translate business initiatives into robust, customer … identifying and solving problems effectively Build reliable, easy-to-operate systems Continuously update and upgrade technologies and patterns Maintain and improve deployed AI/ML models and microservices throughout the software development lifecycle, including production and incident management Ensure compliance and security in AI/ML solution deployment and operation ...

programming decisions based on data-driven insights. Create compelling visualizations and dashboards to communicate insights effectively to stakeholders. Deliver robust, well-writtencode Workwith our Machine LearningEngineersand Data Engineers to build and deploy compliant,efficientand scalable data science models Engage with key stakeholders (SkyStudio, Contentand Strategy,Merchandising and Product management … work What you’ll bring Essential criteria: Proven commercial experience applying at least two advanced data science techniques, such as Predictive Modelling, Optimisation, Unsupervised Learning, or NLP. Experience building and deploying production-grade machine learning solutions at scale in a cloud environment. Strong Python programming skills with ...

Machine Learning Engineer (Voice) - London An AI-native engineering org. Agents across coding, reviewing, QA, ops, support, scheduling. You'll help turn the company itself into an intelligent system. Speech-to-speech agents that feel like a person in the room. Interruptions, back-channels, noisy kitchens, hearing aids ...

procurement or operational processes, sufficient to engage credibly with operational leaders and translate AI capability into value. Technical depth: Experience with modern AI and ML platforms such as PyTorch, TensorFlow, Azure ML and AWS SageMaker, data architecture and pipelines, and integration with OT, SCADA or ERP systems. Familiarity with NVIDIA … concepts to non‐technical senior audiences. A relevant degree in Computer Science, Engineering, Mathematics, Data Science or equivalent; advanced qualifications or recognised AI and ML credentials are an advantage. About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations ...

procurement or operational processes, sufficient to engage credibly with operational leaders and translate AI capability into value. Technical depth: Experience with modern AI and ML platforms such as PyTorch, TensorFlow, Azure ML and AWS SageMaker, data architecture and pipelines, and integration with OT, SCADA or ERP systems. Familiarity with NVIDIA … concepts to non-technical senior audiences. A relevant degree in Computer Science, Engineering, Mathematics, Data Science or equivalent; advanced qualifications or recognised AI and ML credentials are an advantage. #J-18808-Ljbffr ...

notebooks, clusters); Azure Machine Learning models and endpoints; Power BI dashboards and dataset refreshes. Monitor and troubleshoot failures in pipelines, jobs, and ML workflows using Azure Monitor, Log Analytics, and custom alerting. DevOps & Automation Maintain CI/CD pipelines using Azure DevOps, GitHub Actions, etc., for ADF, Databricks … ML model deployments. Develop automation scripts in Python, PowerShell, or Bash to reduce manual intervention and improve service reliability. SQL and Data Warehouse Operations Write, optimize, and troubleshoot SQL queries for data validation, root cause analysis, and report troubleshooting. Support and maintain data warehouse environments such as Azure Synapse Analytics ...

creativity and design. All underpinned by technology created with purpose.We’re looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks … pitch contribution, and client hosting at events.* Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development.* Learning & development – Training to support your career development and the skills demand within the company, certifications etc.## **YOUR PROFILE**We’d love to meet someone ...

system end to end, covering roadmap, modelling strategy, release planning, measurement and production performance. Lead and develop a team of four data scientists and ML engineers, setting priorities and maintaining high technical standards. Own the full product lifecycle for AI products, from opportunity identification through launch, monitoring and iteration. Partner … learning or applied AI, ideally including production systems at significant scale in an adtech environment. A track record of owning AI/ML products end to end, from initial idea through production release and measured business impact Experience leading, coaching or managing data scientists, ML engineers or closely ...

environment. You are comfortable rolling up your sleeves to write complex SQL, engineer your own features, and deploy baseline models (heuristics or simple ML) quickly to prove value before iterating toward complex solutions. End-to-End Execution: Own the complete model lifecycle, from data extraction and feature engineering to deployment … junior data scientists and analysts, helping them troubleshoot roadblocks and adopt best practices. Experience & Skills: 5+ years of applied experience in Data Science or ML Engineering, with a track record of delivering production-ready models that drive measurable business value. Technical Proficiency: Strong expertise in Python and SQL. Deep familiarity ...

Data team, working within Risk & Fraud. The brief is simple: reduce fraud without adding friction for good users. In practice that means ML models, deterministic rules and signal tuning, and working directly with our external risk vendors. You own that work end to end, from the question, to what ships … analyze A/B and multivariate experiments, identify conversion bottlenecks (KYC, payment method, geo), and partner with PMs and designers to ship measurable improvements. ML/AI modeling. Design, train, and deploy machine learning models, from classification and forecasting to clustering and recommendation, that power decisions inside ...

Expert – Expert in building and evaluating Generative AI solutions and Large Language Models (LLMs) for various use cases. Experience in developing and implementing machine learning models, including predictive, forecasting, classification, and deep learning models. CX Data Experience - Hands-on experience in customer behaviour analytics, marketing, commercial …/EPOS, digital, social and loyalty. AI Delivery Excellence – Proven experience owning workstreams including planning, execution, and successful delivery of insights or AI/ML POCs, MVPs and production grade solutions. Programming Experience - Skilled in using programming languages such as Python Cloud Expertise - Knowledge of cloud platforms and tools ...

Creandum Advisor LLP is looking for a Senior Staff Machine Learning Engineer to build and scale ML systems that ensure safety, policy enforcement, and compliance across Spotify’s content. This role involves defining machine learning strategies, developing automated decisioning systems, and collaborating across teams to maintain … high standards of content quality. The ideal candidate should have strong experience with production-grade ML systems and modern frameworks like PyTorch and TensorFlow. The position offers flexibility to work from home while requiring occasional in-person meetings. #J-18808-Ljbffr ...