751 to 775 of 2,927 Machine Learning Jobs in London

cloud-native data solutions that enable trusted, high-quality data across the organisation. You will help establish the data foundations required for advanced analytics, machine learning, AI, and GenAI use cases. Business Development: Act as a trusted advisor and subject matter expert during sales and pre-sales activities ...

investment banking environments Strong communication and stakeholder management skills Willingness to work in a hybrid model based in London, UK Exposure to AI/ML-powered tooling in software engineering or DevOps workflows Experience integrating automation or AI tools into CI/CD pipelines or developer workflows Career Stage Senior ...

Ryan Competitive Compensation and BenefitsBusiness Connectivity Reimbursement (Phone/Internet)Gym Membership or Equipment ReimbursementLinkedIn Learning SubscriptionFlexible Work EnvironmentTuition Reimbursement After One Year of ServiceAccelerated Career PathAward-Winning Culture & Community OutreachThe Full Stack AI Engineer is an early-career software engineering role focused on building and delivering full-stack … tools while maintaining ownership and understanding of the code produced.Education and Experience:Bachelor’s or master’s degree in Computer Science, Engineering, AI/ML, or a related technical field, or equivalent relevant experience.Suitable for recent graduates and candidates with approximately 0-3 years of professional software engineering experience.Strong foundation ...

technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on AI/ML workloads within high‐performance compute (HPC) environments Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that … Technical Account Manager in Cloud Infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on AI/ML inference Fluency in cloud computing concepts, architecture, and technologies with hands‐on experience in designing and implementing cloud solutions Proven track record with building customer relationships ...

Experience in a customer-facing role, engaging with customer executives, technologists or partners to solve business problems with advanced technologies Experience with AI/ML technologies Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience ...

Experience building or integrating AI-powered applications and services. Familiarity with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or machine learning workflows. Experience integrating AI APIs and platforms such … OpenAI, Anthropic, Azure AI, or similar technologies. Knowledge of vector databases, embeddings, prompt engineering, and AI application architecture. Experience with Python for AI/ML-related development. Exposure to MLOps practices and AI model deployment pipelines. Contributions to open-source projects or technical communities. Competitive Salary Bonus Scheme Private Healthcare ...

leading technology company in the UK is seeking a Software Engineer for AI/ML to improve machine learning model performance. The ideal candidate will hold a PhD and possess skills in artificial intelligence, data mining, and software design. Responsibilities include scaling data optimization techniques and collaborating with ...

Terraform Knowledge of basic logging and monitoring practice Knowledge of basic access controls, policies and approaches particularly on Cloud services Consultancy Skills Enthusiasm for learning and self-development and sharing that within a team and organisation Good communication skills Showcasing and presentation skills Desire to work in a cross … essential, but it’s highly desirable! Working at a technology consultancy Working with data scientists to productionise advanced data deliverables, such as machine learning models Working within the public sector Experience of working in Agile practices such as Scrum, XP, and/or Kanban We are hiring ...

data-driven platforms. Familiarity with cloud infrastructure (Azure, AWS, GCP). Experience working in scale-up environments with evolving priorities. Exposure to ML/AI systems or knowledge-based platforms Benefits of joining us Cutting-Edge Technology: Work with modern AI, from machine learning models to agentic systems … prioritize productivity and work-life balance Real-World Impact: Build AI systems that accelerate global technological innovation Continuous Learning: Opportunities to grow in ML engineering, product design, and systems architecture Hybrid Working: 2-3 days per week from our Shoreditch Please note During periods where we receive very high ...

Accenture is seeking a Data Science Manager in London to lead and inspire teams of data scientists, develop scalable machine learning solutions, and partner with clients on business-impacting … analytics projects. You’ll drive technical directions, solve complex problems, and help accelerate data-driven decisions across industries. The role requires deep expertise in ML methods (Deep Learning, transformers, XGBoost), strong communication, and ability to manage multi-disciplinary projects with #J-18808-Ljbffr ...

Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting‐edge technologies like AI, Machine Learning, Generative AI, and Large Language Models ...

Software Engineer, AI/ML, PhD, Early Career Google London, UK Apply Currently enrolled in or graduated from a PhD program. Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam Fighting, or related fields. Experience in computer science and software … trusted partner to enable growth and solve their most critical business problems. Responsibilities Help scaling data optimization techniques improving the performance and quality of ML models. Work closely with our Research teams as well as ML practitioners to identify, build and iterate on engineering tools, processing pipelines, data optimization techniques. ...

Spotify is seeking a Senior Machine Learning Engineering Manager in London to lead a 10–12 strong ML engineering team, including Staff engineers, in a hybrid role. You will shape the group’s direction, drive audio, text, and video understanding initiatives, and scale the team while remaining hands ...

that expand platform usage. The Impact You Will Have Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins Own frontline technical relationships … leading technical customer conversations - discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics Strong presentation and demo skills - you will build and present a live solution during the interview Bachelor ...

extracting insights from structured and unstructured data for our core customer base – Corporates, Banks, Professional Services, and Asset Managers Develop and maintain robust ML and data pipelines for experimentation and deployment. Design, build, and optimize risk models for analytics and generative AI applications using our proprietary NLP data generation process. … Collaborate cross functionally with Economists, Industry Analysts, Political Scientists, and Developers. Explain ML/NLP model outputs and methodologies to non-technical stakeholders. You May be a Good Fit if: Substantial experience querying, cleaning, compiling, and analyzing big data. Familiarity applying various computational social science methods including data mining, data ...

automate, or accelerate parts of the simulation workflow (e.g. automated case setup, intelligent meshing decisions, workflow orchestration across CAD–mesh–solve–post) AI/ML for model training and inference — how machine learning models are trained on simulation data and used for fast inference (e.g. surrogate/reduced … order models, ML-assisted design space exploration) You don't need deep expertise in both — authentic curiosity and working familiarity with either is a strong differentiator on top of solid CFD fundamentals. Key Responsibilities The Application Engineer is expected to work closely with current and potential customers to understand their ...

quality and reusable code, with a strong command of Git and CI/CD practices. The capacity to thoughtfully evaluate statistical and/or machine learning techniques, and proficiently apply them in practical scenarios while interpreting results, considering the assumptions and limitations inherent in the methods. Experienceinleading … however you can contribute more if you wish), Life Assurance (3x salary), an Electric Vehicle salary sacrifice schemeand a Give As You Earn scheme. Learning & Development: Individual learning budgets, support for training and certifications, and reimbursement for one annual professional subscription (approval required). Recognition & Rewards: Employee recognition ...

Permanent As a Data Modeller , you will play a key role in designing, developing and maintaining enterprise data models that enable analytics, reporting, AI, machine learning and business intelligence initiatives. You will translate complex business requirements into scalable, high-quality data solutions, ensuring data is structured, governed … succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity ...

proposing and implementing their mitigations) Modelling, structuring and storing data along with their data flows for uses including - but not limited to - analytics, machine learning, data mining, compliance, business intelligence, sharing with applications and organisations Harvesting and ingesting structured and unstructured data in different formats and standards Integrating ...

. Familiarity with BI, data visualisation, and DevOps principles. Strong understanding of data governance, security, and compliance frameworks (GDPR, CCPA, HIPAA). Exposure to machine learning and AI integration within modern data platforms. Experience, Qualifications, And Education Experience: Minimum 8–12 years in data architecture, engineering, or consulting ...

problem-solving skills and ability to work effectively within agile, cross-functional teams. Desirableskills andexperience: Experience building platforms or applications that support Data Science, Machine Learning, or AI workloads. Experience with MLOps tooling such as MLflow, Kubeflow, Vertex AI, or similar technologies. Knowledge of workflow orchestration platforms such ...

/global-offices into your browser.We’re seeking someone to join our team as a Developer to focus on the development of GenerativeAI and Machine Learning software.Technology is a strategic partner to our business units, collaborating with the world’s leading technology companies to redefine our operations ...

large or complex datasets. Experience integrating internal and external APIs, services and data sources into applications. Good working knowledge of data, AI and machine learning concepts. Experience building or integrating AI-powered features into web applications, tools or business workflows. Familiarity with generative AI tools and coding assistants ...

global-offices into your browser. We’re seeking someone to join our team as a Developer to focus on the development of GenerativeAI and Machine Learning software. Technology is a strategic partner to our business units, collaborating with the world’s leading technology companies to redefine our operations ...

fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. Key Responsibilities: Develop Data Engineering solutions ...