551 to 575 of 2,937 Machine Learning Jobs in London

blog posts, and white papers. You will also have the opportunity to work with our product and engineering teams to build new statistics/ML features for all of Optimizely’s products. You will have also have the opportunity to partner with experts in academia and research to explore … Optimizely should invest in. Job Responsibilities Product and Feature Development Collaborate with product managers and engineering teams to design and implement new statistical and machine learning features across Optimizely’s product suite. Conduct rigorous testing and validation of new statistical methods and ensure seamless integration into the platform. ...

over EVM (and other) blockchain data to attribute on‐chain activity and uncover new insights. Apply advanced techniques including graph computation, statistical modeling, and machine learning to large‐scale on‐chain datasets. Identify and resolve inefficiencies in code, methodology, and workflows; ensure your work integrates cleanly into … Python and SQL, with a track record of writing clean, testable, production‐quality code. Demonstrated experience applying advanced analytical techniques (e.g. graph algorithms, ML, statistical inference) to large, messy datasets. Comfort working with EVM‐based blockchain data, or strong evidence of the aptitude to ramp up quickly on EVM data ...

experienced validators; prior work in credit, counterparty or market risk is helpful context rather than a prerequisite Relevant professional or research experience spanning AI, machine learning, quantitative analytics, software engineering, model risk management or related disciplines, we prioritize demonstrated, practical skill with advanced AI and agentic systems over … audiences, with strong written and spoken English Education A strong academic background in a technical or quantitative field such as computer science, artificial intelligence, machine learning, mathematics, physics or engineering, with a preference for candidates holding a post-graduate degree. Demonstrated, applied agentic AI capability is weighted alongside ...

Robotics software Perception and sensor fusion Localization, mapping, and navigation Motion or behaviour planning Manipulation, locomotion, or whole-body controls Artificial intelligence or machine learning Simulation and virtual testing Distributed or real-time software systems Ability to understand and evaluate software behaviour without being the primary implementation owner … model-based systems engineering, or software architecture modelling. Familiarity with functional safety, SOTIF, machinery safety, cybersecurity, or safety assurance for autonomous systems. Understanding of machine-learning performance, uncertainty, dataset coverage, and scenario-based validation. What We Offer Competitive equity: stock options with meaningful upside as we scale. 30+ ...

science that delivers tangible business results. The Role Reporting to the CTO, you'll own end-to-end data science projects, developing and deploying machine learning models that drive better customer and commercial outcomes. You'll work across: Customer segmentation, propensity modelling and churn prediction. Revenue and demand … environment. Strong Python, SQL and Jupyter skills. Hands-on experience with customer segmentation, propensity modelling and forecasting. Proven ability to deliver end-to-end machine learning projects, from analysis through to deployment. Commercially minded, with strong communication and stakeholder management skills. Experience in a consultancy or agency environment ...

developers and researchers. Skills and experience 5+ years of experience in software engineering, with a strong focus on AI and machine learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs such as OpenAI ...

product vision. As part of the wider digital and data science roadmap, will lead the design of user experiences in the software that enable machine learning and AI powered features. Will own the planning and execution of usability tests to retrospectively evaluate design effectiveness and identify areas … metrics) to support UX decisions. Familiarity with information architecture, content structure, and interaction patterns across digital platforms. Familiar with the implementation of AI and machine learning applications within a software platform, including relevant efficacy testing, oversight and governance requirements and familiarity with Sketch, or Adobe XD Problem‐solving ...

agenda Other desirable skills for this role would be: Experience working with cloud data storage (eg Azure) Insight into the potential of data science, machine learning and the use of tools such as ChatGPT, Microsoft 365 Copilot, Claude AI in the delivery of analytics. For further details, please … Being aware of how individual actions contribute to, and make a difference to, the equality agenda Desirable Insight into the potential of data science, machine learning and the use of tools such as ChatGPT, Microsoft 365 Copilot in the delivery of analytics Disclosure and Barring Service Check This ...

visibility into platform and pipeline health, data freshness, quality and cost, giving the team the information it needs to act early Apply statistical and machine‐learning techniques to spot unusual data patterns, including issues that may otherwise go unnoticed Automate detection, alerting and safe recovery of common issues … such as S3, Lambda, Step Functions and SageMaker Working with Cyber Security and Infrastructure data, such as ServiceNow, Entra ID and Active Directory Applying machine learning or AI to operational problems, such as anomaly detection AI‐assisted development with tools such as GitHub Copilot and Claude Code Streamlit ...

teams Thrives in fast-moving startup environments You might be a great fit if you Have managed annotation programs for LLMs, generative AI, or machine … learning Have experience with RLHF, preference data collection, safety evaluations, or benchmark creation Have worked in Trust & Safety, AI Safety, Content Moderation, or ML Ops Have managed distributed or global annotation teams Have experience with vendor management and outsourcing operations Bonus points Familiarity with prompt engineering and AI safety ...

will collaborate closely with cross-functional teams, including engineering, product, analytics, operations and risk management. Key Responsibilities: Lead the development and deployment of machine learning models and data science solutions to improve Receive product performance across different Wise markets Analyse large volumes of customer, transaction and product data … Develop robust data pipelines, algorithms and tools to support production-grade modelling and decision-making Stay informed about the latest advancements in data science, machine learning, and payment fraud prevention techniques to ensure state-of-the-art capabilities in the Spend domain A bit about you: Proven track ...

only company pioneering leadership coaching for large enterprises in an AI-first way.Our mission is to transform how the world\'s biggest companies approach learning and development, helping teams work better together throughAI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We\'ve been featured inHarvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America.Our clients represent the most diverse and sophisticated enterprise AI implementations globally, includingCoca-Cola, Delta, Nestlé, General Mills, Schneider Electric ...

annotation and translation guidelines for human annotators. Use Python, pandas and SQL to analyse datasets and support research workflows. Work directly with research scientists, ML/NLP engineers and data scientists , translating complex linguistic findings into actionable insights. Evaluate linguistic vendor outputs, identify error patterns and provide actionable quality feedback. … Swahili is particularly valuable . Other low-resource language expertise is highly regarded. Linguist IC3 Experience applying basic NLP techniques and ideally collaborating with ML, NLP, software engineering or data-science teams. Strong research and business communication skills, with the ability to explain linguistic findings clearly to highly technical stakeholders. ...

secure video record of every procedure; improving training, education, and collaboration. It is an intuitive asset which helps instil a culture of continuous learning, accelerates the adoption of cutting‐edge medical devices, and enhances surgical performance across the entire global workforce – improving outcomes and saving lives. Proximie was commercialised … dependable at scale. Using your deep technical expertise and real‐world production experience, you will own the platform and the infrastructure that carry our machine learning solutions out of development and into hundreds of live hospitals, and keep them performing once they are there. Job Responsibilities Take models ...

strong background in computational plasma modeling, covering areas such as plasma chemistry, sheath dynamics, ion energy distribution, and plasma-surface interactions. Awareness of machine learning in physics-based simulation workflows is a plus. You are independent, adaptable, and experienced, able to engage rapidly with semiconductor customer teams … each problem (e.g. COMSOL, HPEM, VizGlow, CFD‐ACE+), and validating outputs against experimental or industrial process data. Collaborating closely with PhysicsX Data Scientists and ML Engineers to integrate your simulation work into AI‐powered workflows. Operating independently on open‐ended, highly specialised problems—scoping, executing, and delivering with minimal oversight. ...

Junior AI Engineer/Machine Learning Engineer no experience needed From £40,000 - £65,000 *This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back* Train. Certify. Get Hired. AI is expected to generate 170 million jobs … Data+ CompTIA DataAI Practical, real-world project work designed to help you develop hands-on skills Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme ...

reliable systems that power smarter decisions? You could be part of our team, joining our Pricing and Underwriting domain to bridge the gap between machine learning, data science, and engineering. What you’ll do Shape the architecture of data products built for: analytics forecasting feature engineering customer behavior … tooling and frameworks that enable teams to: ingest data store data transform data serve their own data products confidently Partner closely with: data scientists machine learning engineers Improve and evolve the overall data infrastructure Experiment with emerging technologies Explore open-source tools Engage with the broader tech community ...

enjoys thinking, writing and speaking about the latest breakthrough advances – from scaling direct capture of CO2 from air to using quantum hardware for running machine learning algorithms – and everything in between. This is a role for someone who can take highly technical research and translate it into clear … quality, providing constructive feedback to contributors You are expected to gain exposure to a wide range of emerging technology topics, such as: AI and machine learning Autonomous and unmanned systems Biomanufacturing Digital Twins Future aerospace concepts Human‐machine interfaces Nanomaterials Satellite communications Space propulsion concepts Synthetic Biology ...

Integrating our high and low frequency systems for more optimal trading Re-architecting systems to provide a seamless path from research to production for machine learning models Enabling large-scale distributed training of machine learning models Contributing back to open-source projects Who are we looking ...

cases across finance processes.Design and implement AI-powered solutions for financial reporting, forecasting, reconciliations, variance analysis, close management, and decision support.Leverage AI Agents and machine learning capabilities to automate finance workflows and improve user experiences.Collaborate with technology teams to deploy scalable AI-enabled finance platforms.Intelligent AutomationDesign and implement … Finance Consulting programs.Strong Finance and Accounting domain expertise across R2R, P2P, O2C, Treasury, FP&A, and Controllership functions.Experience identifying and implementing AI, GenAI, Machine Learning, and Intelligent Automation solutions within finance organizations.Strong understanding of ERP platforms such as SAP, SAP S/4HANA, Oracle, Microsoft Dynamics, or equivalent ...

Hive owns. Ship applied AI into live accounting, legal and advisory workflows every week. What you bring 3+ years of experience building production-grade machine-learning, data or LLM-powered systems. Strong experience with Python, data engineering, retrieval, LLM applications and evaluation. A Master's degree in Computer … Science, Machine Learning, Data Science, Mathematics, Physics or a related quantitative field. Experience moving AI from prototype into dependable production software. You care about useful, reliable systems in customers' hands, not just impressive demos. How we work We are building something ambitious with a small, high-energy team ...

leading quantitative investment firm focused on systematic trading in global financialmarkets. Our team of researchers, developers, and financial industry professionals apply sophisticatedstatistical and machine learning models to uncover predictive signals in data and turn them into superiorinvestment returns. We believe that career fulfilment and enterprise success converge when … offering immediate group-wide impact and exposure to every area of the trading system and research platform. We place a high value on continuous learning, and this role is a rare opportunity to work alongside and learn from highly experienced quantitative developers and researchers in a collaborative and innovative ...

early-stage product initiatives, turning ambiguous problem spaces into clear product bets with measurable impact. Partner deeply with engineering and data science to bring machine learning, generative AI, and advanced analytics into production-grade products. Drive product discovery with customers and internal stakeholders to ensure solutions are grounded … with at least 3+ years in a product-focused capacity. Strong technical fluency and comfort working closely with engineers and data scientists on AI, machine learning, or data-intensive systems. Proven ability to translate complex data and models into products that users understand and trust. Excellent product judgment ...

research-driven trading firm leveraging machine learning to advance its trading capabilities. We seek a Machine Learning Engineer to build large-scale training and real-time inference pipelines, collaborate with … researchers and HPC specialists, and push the performance of GPU-accelerated systems. You will work on distributed training, low-latency inference, and open-source ML tool integration to drive faster experimentation and real-time decision making in trading environments. #J-18808-Ljbffr ...

that run on endpoints to detect signs of unauthorized or malicious activity. Continuously investigating new techniques to detect emerging forms of cybersecurity violations. Applying machine learning and statistical techniques to detect anomalies and identify suspicious or unexpected behavior. Researching and developing data identifiers (e.g. regular expressions) to detect … Strong programming skills, supported by several years of professional software engineering experience Experience with Java, C, C++, or similar languages, and an openness to learning Go Familiarity with Python , which shares syntax with Starlark (our embedded scripting language) and is commonly used to prototype models A strong interest ...