351 to 375 of 439 Machine Learning Jobs in London

help build and mentor a high-performing team focused on deep data understanding and advanced analytics, driving the development of robust tools and solutions using cutting-edge AI/ML techniques, cloud technologies, and enterprise knowledge bases. In this strategic and hands-on role, you will engage with technical aspects, review code, monitor the impact of production GenAI models, and … Integrates advanced analytics models and applications into operational workflows to ensure business value and adoption. Guides research initiatives and pilot projects to identify and apply cutting-edge AI/ML solutions, including GenAI and agentic technologies. Implements robust drift monitoring and model retraining processes to maintain accuracy and performance (ongoing performance monitoring). Communicates analytical findings and recommendations to senior … leadership. Required Qualifications, Capabilities, and Skills Extensive experience in data science, analytics or a related field. Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment, including hands-on experience with ML Ops frameworks, tools, and best practices for model monitoring, automation, and lifecycle management. Significant leadership experience in managing More ❯

fast-scaling, Series A tech company— want to hear from you. Our client’s mission is to help subscription businesses drive customer growth and predict revenue more accurately using machine learning and AI. Their platform empowers businesses to improve customer loyalty and unlock greater revenue from existing customers. Recently listed in Sifted’s Top 100 fastest-growing startups … the company’s success Private health insurance - quality care when you need it most Monthly wellness allowance - use it on gym memberships, yoga, mental health, healthy food & more Annual learning & development budget - invest in your growth ·Hybrid working - 3 days in the office, 2 days where it suits you Top-tier equipment - everything you need to do your best More ❯

description: Stats Perform is the global leader in sports tech, delivering the most trusted sports data to the worlds biggest names in sports, media, and broadcasting. Using AI and machine learning, we transform decades of data and live game insights into powerful tools for coaches, teams, media, and sportsbooks click apply for full job details More ❯

description: Stats Perform is the global leader in sports tech, delivering the most trusted sports data to the worlds biggest names in sports, media, and broadcasting. Using AI and machine learning, we transform decades of data and live game insights into powerful tools for coaches, teams, media, and sportsbooks. The result? Smarter decisions, deeper fan engagement, and a More ❯

About the Role Mercor is seeking experienced concierge professionals to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your More ❯

About the Role Mercor is seeking experienced Producers and Directors to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on More ❯

About the Role Mercor is seeking experienced Administrative Services Managers to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on More ❯

About the Role Mercor is seeking experienced Recreation Workers to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your More ❯

About the Role Mercor is seeking experienced order clerks to support a leading AI lab in advancing research and infrastructure for next-generation machine learning systems. This engagement focuses on diagnosing and solving real issues in your domain. It's an opportunity to contribute your expertise to cutting-edge AI research while working independently and remotely on your More ❯

property law, helping thousands of people to buy, sell and remortgage their home. They provide our clients with a stress-free online experience, underpinned by our process automation and machine learning platform, and delivered through our wholly owned English law firm. Their revenue has tripled year-on-year, and they’ve carved out a reputation as client-focused More ❯

property law, helping thousands of people to buy, sell and remortgage their home. They provide our clients with a stress-free online experience, underpinned by our process automation and machine learning platform, and delivered through our wholly owned English law firm. Their revenue has tripled year-on-year, and they’ve carved out a reputation as client-focused More ❯

our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travellers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveller satisfaction. The Android Engineer III role sits within the Expedia Group Design System (EGDS) team, part More ❯

Job DescriptionYou can get further details about the nature of this opening, and what is expected from applicants, by reading the below. Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother More ❯

Senior Data Engineer - (AI/ML Deployment Experience Required) Location: London (Hybrid: Monday-Wednesday in office) Salary: £65,000-£75,000 DoE Job Ref: J13026 An AI-first SaaS company on a mission to help organisations unlock the full potential of their first-party data is seeking a forward-thinking Senior Data Engineer with strong deployment experience to help manage … pipelines in modern cloud environments (including Azure, AWS, GCP, Snowflake or Databricks). Lead CI/CD automation, environment versioning, and production deployments for data products. Integrate AI and ML outputs into scalable, automated data workflows. Implement monitoring, alerting, and data quality frameworks that ensure reliability and trust. Mentor and guide engineers, fostering a culture of excellence, innovation, and clean More ❯

Specialist, joining a market-leading disruptive software technology firm in London. Offering excellent training, career progression and prospects, this is a unique opportunity to work for a rapidly expanding machine learning software house click apply for full job details More ❯

Technical Bid Writer A fantastic opportunity for a pro-active, commercially minded Graduate with great writing ability, to join an industry-leading machine-learning software company in London. We would love to hear from high-calibre graduates who possess excellent technical acumen to train as a Technical Bid Writer to coordinate and produce compelling written bids to secure More ❯

. We make the technology to move energy usage to times when electricity is cheap and green. Our software controls vehicle charging, heating systems, and home batteries. We use machine learning to figure out what energy people will need, and when they'll need it. We control tens of thousands of energy assets, and we're growing quickly. More ❯

OpenAIs Assistant API patterns. Build high-performance RAG pipelines using: hybrid search, reranking, embedding optimization, chunking strategies and evaluation harnesses. Develop APIs, microservices and serverless workflows for scalable deployment. ML/LLM Engineering Work with AI+ML pipelines throughAzure ML,AWS SageMaker,Vertex AI,Databricks, orModal/Fly.iofor lightweight LLM deployment. Utilizevector databases(Pinecone, Weaviate, Milvus, ChromaDB, pgVector) and embedding stores. … to Have Experience withPromptOps & LLM Observabilitytools (PromptLayer, LangFuse, Humanloop, Helicone, LangSmith). Understanding ofResponsible AI, model safety, bias mitigation, evaluation frameworks and governance. Background in Computer Science, AI/ML, Engineering, or related fields. Experience deploying or fine-tuning open-source LLMs. Tech Stack LLMs: GPT-4/5, Claude 3.x, Gemini 2.x, Mistral Large, LLaMA 3, Cohere Command R+ … DeepSeek Frameworks: LangChain, LlamaIndex, Haystack, AutoGen, CrewAI Tools: GitHub Copilot, Cursor, LangSmith, LangFuse, Weights & Biases, MLflow, Humanloop Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks, Modal Infra: Python, Docker, Kubernetes, SQL/NoSQL, PyTorch, FastAPI, Redis More ❯

data scientists, helping ensure excellence and strong delivery outcomes. What You'll Do Build scalable products: Design, build and maintain robust, secure full-stack applications that integrate AI/ML models and serve our external clients and internal users across Mott MacDonald at global scale. Lead delivery: Take end-to-end technical ownership of digital product initiatives—from architecture and … collaboration. Architect with intent: Contribute to and refine system architecture decisions to support modularity, reuse, performance, and long-term maintainability. Work across Disciplines: Collaborate closely with data scientists and ML engineers to integrate models into production-grade products, and with product managers to shape roadmaps based on technical feasibility and user value. DevOps & CI/CD: Support cloud-native deployment … meaning we pay up to 24 weeks at full pay. Up to five additional days leave are provided for those with significant caring responsibilities, two of which are paid. Learning and development Primary annual professional institution subscription. A broad range of opportunities to enhance both technical and soft skills through mentoring, formal training, and self-development options. Networks, communities More ❯

across OT/IT systems, enable real-time analytics, and ensure robust data governance and quality frameworks. The engineer will collaborate with cross-functional teams to support AI/ML, GenAI, and IIoT use cases in manufacturing and industrial environments. Key Responsibilities Architect and implement cloud-native data pipelines on AWS or Azure for ingesting, transforming, and storing industrial data. … semantic models, and metadata frameworks for contextualized industrial data. Implement CI/CD pipelines for data workflows and ensure lineage, observability, and compliance across environments. Collaborate with AI/ML teams to support model training, deployment, and monitoring using MLOps frameworks. Establish and enforce data governance policies, stewardship models, and metadata management practices Monitor and improve data quality using rule More ❯

ll act as the blend of: Data & AI evangelist - educating stakeholders on possibilities and translating technical outcomes to business value. Data specialist - shaping data science strategy, building production-ready ML models, and embedding best practice. Fixer/problem-solver - helping teams refine requirements, diagnose issues, and drive real commercial outcomes. Day-to-day you will: Translate complex business problems into … research questions with quantifiable objectives. Identify, acquire, and work with structured and unstructured datasets. Build, validate, deploy, and monitor production ML models. Partner with data engineers, ML engineers, architects, and business teams to shape ML initiatives. Present insights clearly through strong data visualisation and storytelling. Uphold software engineering and MLOps best practices (testing, versioning, quality, automation). Contribute to governance … responsible model usage, and data quality standards. Mentor juniors and support code reviews. Required Experience You'll need: Strong Python experience and deep familiarity with mainstream ML libraries. Proven experience deploying and owning ML models in production. Experience working in cross-functional data teams. Strong stakeholder communication skills and the ability to explain commercial impact. Understanding of ML Ops vs More ❯

a cloud environment (AWS, Azure, or GCP). Expertise in Go, Node.js, or Java, with deep understanding of distributed systems and API design. Experience integrating or leveraging AI/ML models or services within production systems. Familiarity with AI-assisted development tools and a strong belief in data-driven, intelligent engineering. Experience with Kubernetes, Docker, and CI/CD pipelines. … of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal More ❯

A global investment firm is hiring an AI Engineer who has experience with Python, PyTorch, HuggingFace, and cloud ML deployment. Hybrid position. Paying up to £2000 per day Role and responsibilities for the AI Engineer Build ML and intelligent systems that enhance decision-making and optimize internal workflows Design foundational infrastructure and tooling for scalable AI/ML deployment Develop … service Evangelize AI internally, building awareness, excitement, and engagement across teams Experience and skills required for the AI Engineer 8 years of experience in software engineering with a strong ML focus Bachelor's in Computer Science (Master's in AI preferred) Proficiency with Python, PyTorch, HuggingFace, and cloud ML deployment Hands-on experience with LLM pipelines, RAG, and NLP or More ❯

or Master’s degree in Computer Science, Data Engineering, or related field. Certifications in cloud platforms (e.g., Azure Data Engineer, GCP Associate Cloud Engineer). Familiarity with AI/ML applications in customer engagement and personalisation. Why Join Accenture? Work with cutting-edge technologies and global clients. Be part of a diverse, inclusive, and innovation-driven culture. Access world-class … learning resources and career development programmes. Join a team that values stewardship, integrity, and client value creation. What’s in it for you: Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range of health and wellbeing benefits. These include perks such as: 30 days of leave to spend More ❯

s NI & tax deducted at source, unlike umbrella companies and no umbrella admin fees. This role suits a Lead Developer with deep cloud engineering expertise across Python, containerisation and ML platform build-outs, plus strong leadership capability. Key Skills and Experience Banking experience is essential Strong software engineering background with expert Python Hands-on experience with GitLab CI/CD … Extensive Docker containerisation & runtime experience Strong understanding of AWS SageMaker deployments Experience building developer environments for ML/quant/data-intensive workflows Knowledge of monitoring, logging, reporting and test automation Proven team leadership of small development teams Strong understanding of data ingestion, preprocessing and transformation Experience embedding GenAI or agentic frameworks is highly desirable Familiarity with model lifecycle, versioning More ❯