251 to 275 of 1,145 Machine Learning Jobs in London

production, including reusable data products, reliable pipelines, and governed access patterns. Partnering with senior leaders across Product, Tech, and Commercial to unlock opportunities in machine learning, automation, and advanced analytics. Driving a culture of data-led decision-making, ensuring every data initiative is connected to real-world customer … clear business value for non-technical stakeholders. Confidence with modern data stacks (AWS focus), data governance, and the infrastructure required to run AI and ML at scale. ATS Optimization Keywords Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique ...

Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within … Proven expertise in using Palantir Foundry's ontology to model data in ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine learning pipelines. Deep understanding of Foundry's data governance and metadata management: Strong knowledge of how Palantir Foundry manages data governance, metadata, lineage ...

Stay up to date with emerging AI technologies and recommend improvements to existing solutions What They're Looking For Experience as an AI Engineer, Machine Learning Engineer or Software Engineer with a strong focus on AI Hands-on experience building and deploying AI or machine learning ...

ground up - no legacy, no patchwork systems - just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in‐store shopping experience. We are taking an almighty swing of the bat; it is difficult, full of risk … exactly why we are here. The Role We’re looking for a Full Stack Engineer to work closely with product, design, mobile, and machine learning team members to design & build experiences that re‐define in‐store shopping. We believe that agentic, LLM‐driven workflows are here to stay ...

models and AI agents, ensuring decisions are executed safely, consistently, and effectively at scale Make animpactby buildingahigh-performing Data Science andMachine Learning (ML)Engineering capabilitythatdrivesinnovation and business outcomes through AI and advanced analytics What you'll do As a Data Science & AI Lead … production-grade solutions, ensuring technical feasibility, scalability, and integrity. Moreover, you’ll build and lead a multi-disciplinary Data Science capability, encompassing Data Scientists, ML Engineers, and MLOps specialists, ensuring strong technical depth, continuous development, and clear progression across the function. In addition, you’ll be: Acting as the single ...

ready. Responsibilities: Designing enterprise-scale AWS data and analytics architectures Leading the delivery of cloud-native data platforms across the full data lifecycle Integrating machine learning, Generative AI and large language model capabilities into business solutions Defining data governance, security and architecture standards Advising senior stakeholders on technology … analytics services Experience designing both batch and real-time data processing solutions Knowledge of modern cloud architecture patterns including APIs and microservices Experience implementing machine learning, Generative AI and AI-enabled solutions Strong understanding of data governance, security and compliance requirements Excellent communication and leadership skills What ...

Senior Recruitment Consultant – Data, AI & Machine Learning (Contract/Interim) 📍 London (Shoreditch HQ) | 🌍 Hybrid working 💸 £35,000 – £45,000 basic + uncapped commission Looking to dominate the fastest-moving market in tech? At Arrows Group, we know that in the world of AI and Machine Learning … Benelux/Dutch markets, helping our clients scale at pace. What you'll be doing: Lead a high-velocity Data/AI/ML contract desk, managing the full lifecycle from lead gen to deployment. Cultivate a deep network of immediately available freelance specialists (Data Scientists, ML Engineers, AI Researchers ...

Senior Project Manager - eDiscovery, AI/GenAI/machine learning Our client is looking to recruit a Senior Project Manager (eDiscovery, AI/GenAI/machine learning) on a permanent basis to lead the full lifecycle of litigation technology projects, from early case assessment through trial ...

Artificial Intelligence and Machine Learning workloads. As AWS continues to build and scale, our data centres increasingly host high‐density AI/ML and accelerated computing alongside our established services, and you will lead the teams that keep this critical infrastructure running safely, reliably and at pace. … centres or critical infrastructure. Experience in one or more IT infrastructure domains (storage, compute, networking, security, software development, systems administration, database engineering or administration, machine learning, cloud infrastructure, big data, DevOps or other IT infrastructure domain). Experience in trust and safety compliance or risk. Amazon ...

join our AML Risk team in London. This role is a unique opportunity to work on building out the lead Data Science team and machine learning based technical solutions in the AML Risk team, which owns AML detection across all of the Wise licenses. This is an exciting … customers. About the Role: In the Anti-Money Laundering (AML) Risk team we are developing systems which are a mixture of unsupervised and supervised learning, with GenAI to detect and mitigate Financial Crime on a global scale. You will be making sure the AML Risk Data Science team ...

organisation supporting scientific information, intelligence, and data-driven decision-making across research and development as part of a highly experienced team with plenty of learning and training opportunities. The company has a highly collaborative environment where data science, AI, and scientific expertise are combined to generate insights from biomedical … stakeholders Strong communication and organisational skills as regular interaction with a range of stakeholders is a core part of the job Experience with NLP, machine learning, scientific datasets, or biomedical literature is a significant advantage - preferably gained from working in a pharmaceutical, biotech diagnostics, CRO or consultancy company ...

ReqID: FEQ327R501 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide … enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‐edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact ...

team. This is an exciting opportunity to work on cutting-edge AI programmes, designing and delivering enterprise-scale solutions across Generative AI, Agentic AI, Machine Learning and Intelligent Automation. Working with major clients across a range of industries, you'll play a key role in defining AI strategy … solutions within complex environments. You'll have strong experience across: Generative AI Agentic AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering Machine Learning Intelligent Automation MLOps and LLMOps You'll also have experience working with technologies such as OpenAI, Azure OpenAI, Hugging Face, Llama ...

platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.What You Will Be DoingWe are looking for strong Data and Solution Architects who are passionate and focused … legacy systems to scalable, cloud-native solutions.Design and implement lakehouse architectures that unify data lakes and data warehouses for advanced analytics and AI/ML workloads.Partner with other solution architects to assess solution alignment to the overall architectural blueprint – and drive proposal writing, solution direction, pricing and costingOwns Solution Development ...

embedded across specialty lines.**Skills and Experience Specification:**Hard Skills* Strong applied data science capability (using Python/R to apply statistical modelling and machine learning techniques) including model design, feature engineering, validation, version control and documentation, with key focus on transparency and explainability throughout.* Sound statistical … analytical foundations (probability theory, GLMs, time series analysis) and comprehensive understanding of modern machine learning techniques and modelling approaches (e.g. random forest, XGBoost, GBMs).* Experience working with complex, sparse, or imperfect datasets.* Solid SQL, data handling and data visualisation skills.Soft Skills* Ability to navigate ambiguity and structure ...

decisions are executed safely, consistently, and effectively at scale. Make an impact by building a high-performing Data Science and Machine Learning (ML) Engineering capability that drives innovation and business outcomes through AI and advanced analytics. Responsibilities Own the end-to-end Data Science and AI agenda, delivering … strategies into automated, production-grade solutions with technical feasibility, scalability, and integrity. Build and lead a multi-disciplinary Data Science capability, encompassing Data Scientists, ML Engineers, and MLOps specialists, ensuring strong technical depth, continuous development, and clear progression across the function. Act as the single-threaded owner for the automation ...

hallucinations and provide clear, explainable outputs. Partner with data, BI, and technology teams to optimise semantic models for AI readiness. Apply data science, machine learning, NLP, and advanced analytics techniques to enhance insight generation and anomaly detection. Contribute to the organisation's long-term Data & AI strategy, influencing … responsible AI adoption. Coach and support analytics teams in developing AI-ready modelling and insight capabilities. About You Strong experience in Data Science, Machine Learning, Applied Analytics, or a related field. Proven ability to develop strategy and influence senior stakeholders, including executive-level audiences. Hands-on experience with ...

modelling and decisioning capability. Responsibilities: Building and improving credit risk and decisioning models using Open Banking, bureau and internal lending data Developing scorecards and machine learning models to support underwriting decisions Deploying, monitoring and maintaining models within AWS production environments Analysing portfolio performance, arrears, defaults and customer behaviour … experience building credit risk or decisioning models within lending (insurance backgrounds may also be considered) Strong experience with scorecards, logistic regression and/or machine learning models Good understanding of how models influence real lending decisions and commercial outcomes Experience deploying and maintaining models within production environments Strong ...

commercial analysis Own and execute strategic initiatives and be accountable for their growth and success Lead the rollout and adoption of the existing Machine Learning module (AVA) across the customer base Design, develop, and optimise AI-powered booking solutions to improve vehicle allocation across repair networks Support strategic … technology businesses Strong analytical and problem-solving capabilities with the ability to interpret complex data sets and generate actionable insights Familiarity with AI and Machine Learning concepts, products, and applications Commercial mindset with the ambition and capability to own product performance and growth initiatives Experience supporting strategic initiatives ...

senior leadership and business functions Establishing robust data governance frameworks, ownership models and data quality standards Shaping the organisation's approach to AI and machine learning, identifying opportunities to create measurable business value Overseeing modern data platforms, architecture and analytics capabilities Delivering strategic insight that influences commercial, operational … proven track record of developing and implementing enterprise data strategies Strong expertise across analytics, reporting, business intelligence and strategic insight Experience leading advanced analytics, machine learning or data science functions Knowledge of data governance, data quality and enterprise data management best practices Experience operating within large, complex ...

based data solutions. You Will Work With Designing end-to-end AWS data platforms Building modern data lakes, warehouses and analytics solutions Implementing Machine Learning and Generative AI capabilities Defining cloud architecture and technical roadmaps Working across batch and real-time data processing environments Driving data governance, security … Architect, Data Architect or Cloud Architect Strong AWS data platform expertise Experience with modern data technologies such as Redshift, Databricks or Snowflake Knowledge of Machine Learning, AI or Generative AI technologies Strong understanding of data governance and security Experience delivering enterprise-scale cloud solutions Excellent stakeholder management skills ...

existing .NET-based platform and distributed computing architecture. Apply distributed computing principles to build scalable, resilient, and secure solutions. Integrate AI and machine learning capabilities into prototype applications, including the selection, evaluation, and implementation of appropriate models. Collaborate with technical architects and engineering teams to align new capabilities … rapid prototypes, proofs of concept, or innovation-focused software solutions. Strong appreciation for user-centred design and building intuitive user experiences. Experience integrating AI, machine learning, or advanced analytics capabilities into software applications. Ability to evaluate, select, and integrate appropriate AI models, including large language models and related ...

looking for a Principal Research Scientist in London to drive machine learning research in their Systematic Equities business. You'll mentor researchers and guide strategic research direction while collaborating on pioneering projects with access to exceptional datasets and computing resources. The ideal candidate will hold … related field and have a strong publication record, aiming to influence the future of machine learning at a leading trading firm. #J-18808-Ljbffr ...

Design mathematical models and optimisation algorithms for complex industrial decision-making problems. Develop quantum, quantum-inspired, and hybrid quantum-classical algorithms. Investigate AI and machine learning techniques that complement optimisation workflows. Evaluate new computational approaches for emerging hardware and software platforms. Software Engineering Develop high-quality scientific software … Quantum Computing, or a related field. Strong expertise in one or more of the following: Mathematical Optimisation Quantum Computing Quantum Algorithms Artificial Intelligence/Machine Learning Scientific Computing High-Performance Computing (HPC) Strong programming skills in Python, C++, Julia, Rust, or similar languages. Experience developing scientific software ...

Design mathematical models and optimisation algorithms for complex industrial decision-making problems. Develop quantum, quantum-inspired, and hybrid quantum-classical algorithms. Investigate AI and machine learning techniques that complement optimisation workflows. Evaluate new computational approaches for emerging hardware and software platforms. Software Engineering Develop high-quality scientific software … Quantum Computing, or a related field. Strong expertise in one or more of the following: Mathematical Optimisation Quantum Computing Quantum Algorithms Artificial Intelligence/Machine Learning Scientific Computing High-Performance Computing (HPC) Strong programming skills in Python, C++, Julia, Rust, or similar languages. Experience developing scientific software ...