376 to 400 of 436 Machine Learning Jobs in London

world, including approximately 300 of the Fortune Global 500. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. Why we're hiring: We're building the next generation of WPP Open … our AI-driven platform transforming marketing workflows across our global network. What you'll be doing: In this role, you'll design secure, scalable cloud solutions that bring advanced ML and data science into production - partnering closely with technical and business stakeholders across the organisation. You'll combine hands-on technical leadership with architectural ownership to ensure our solutions are … future-proof, observable, cost-efficient and delivering maximum value. Designing and delivering enterprise-grade AI/ML and Data Science platforms within complex cloud ecosystems Building serverless and containerised execution environments for ML and data workloads Developing secure, scalable patterns for cloud Infrastructure-as-Code and deployments Defining API standards, observability strategies and architectural guardrails Establishing and evolving CI/ More ❯

for leadership. Experience and Expertise Required We are looking for hands-on experience in the following core areas: Model Lifecycle Management (MLOps): Proven experience in implementing robust AI/ML pipelines for model training, validation, and deployment (e.g., using MLflow, Vertex AI, or Azure ML). Expertise in managing model evaluation, drift monitoring, and continuous improvement processes. Strong focus on More ❯

for leadership. Experience and Expertise Required We are looking for hands-on experience in the following core areas: Model Lifecycle Management (MLOps): Proven experience in implementing robust AI/ML pipelines for model training, validation, and deployment (e.g., using MLflow, Vertex AI, or Azure ML). Expertise in managing model evaluation, drift monitoring, and continuous improvement processes. Strong focus on More ❯

service. This role requires extensive experience across all Identity and Access Management core disciples including identity management, identity governance and administration, privileged access, and conditional access and in particular, machine identities. It also requires deep technical skills in the DevSecOps. This role will support the transformation of IAM into a modern, automated, predictable and customer-oriented function. The ideal … candidate will excel at Microsoft Entra ID technologies, Microsoft Azure, workload identities, managed accounts, machine identity management, and translation of identified requirements into practical identity architecture and design. ROLE & RESPONSIBILITIES IAM Strategy and Architecture for Artificial Intelligence Leverage extensive knowledge and experience across all IAM disciplines to design, implement and continuously improve the portions of the organisational IAM architecture … AI governance. Integrate security into the SDLC from the ground up, ensuring AI models and systems are secure by default. Define and enforce secure coding practices for AI/ML components and APIs. Identify and assess threats specific to AI systems, such as model inversion, data poisoning, adversarial attacks, and model theft. Implement model encryption, and access controls to prevent More ❯

and guidelines. Develop and implement strategies for training, fine-tuning, and optimizing generative AI Application Design to ensure high performance, scalability, and cost-effectiveness, leveraging Amazon's AI/ML services and infrastructure. Support the integration of Gen AI applications into existing 3rd Party applications like SAML (Okta, Azure AD), with AWS Services like IDC, DynamoDB, ensuring seamless integration, scalability … and adherence to security best practices. Collaborate with cross-functional teams, such as Gen AI Strategists, Customer Project Managers, user experience designers, and AWS AI/ML specialists, to ensure the effective integration of generative AI outputs into end-user applications, while considering user experience, accessibility, and ethical implications. Collaborate with Customer and AWS Security specialists to design, deliver, and … standards. Lead and contribute the development of reusable tools, libraries, and frameworks for building and deploying Amazon Q Applications, fostering collaboration and knowledge sharing within the Amazon AI/ML community. About The Team The AWS Amazon Q-CST leverages deep knowledge of AWS data services and data analytics in collaboration with our sales and partner teams to propose, architect More ❯

Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 5+ years of hands-on experience in a dedicated AI/ML engineering role, with a demonstrable track record of building and shipping complex systems. Expert-level proficiency in Python and its core AI/ML libraries (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex More ❯

with strong flexibility for remote work. Your Role Design, build, and deploy generative AI systems (LLMs, retrieval-augmented architectures, embedding pipelines, agents) from prototype to production. Lead the full ML lifecycle: data extraction, modelling, fine-tuning, training, inference, deployment, and monitoring. Collaborate with product, engineering, and data teams to translate business needs into working AI solutions. Establish standards for prompt … safety). Optimise models for scalability, latency, cost, and accuracy in live environments. Mentor engineers and raise the overall technical bar of the team. You Bring 5+ years of ML/AI engineering experience, including 3+ years deploying generative AI (LLMs, fine-tuning, RAG) in production. Strong technical grounding in Python, TensorFlow/PyTorch, transformer architectures (GPT, Llama, Mistral), vector … databases, and prompt engineering frameworks. Proven record of delivering measurable ROI from AI projects. Solid engineering fundamentals: version control, CI/CD for ML, observability, API integration, and cloud infrastructure (AWS/Azure/GCP). Confident communicator able to explain complex trade-offs to non-technical stakeholders. UK-based and available for two days per week in the London More ❯

and AI-driven analytics across the organisation. Key Responsibilities: Design, build, and maintain scalable ETL data pipelines to support AI, chatbot, and analytics use cases. Collaborate with data scientists, ML engineers, and product teams to deliver clean, reliable data for model training and real-time inference. Enable chatbot platforms by integrating structured and unstructured data sources for conversational AI applications. … or similar. Advanced SQL skills and experience with large-scale relational and cloud-based databases. Hands-on experience with Tableau for data visualisation and dashboarding. Exposure to AI/ML environments , including data preparation for chatbot training and deployment. Familiarity with chatbot frameworks is a plus Experience with cloud platforms (AWS, GCP, or Azure) and modern data architectures (e.g. data More ❯

scripts or tools that speed up delivery and improve outcomes. Keep communication clear and aligned across teams and stakeholders. Continuous Improvement Stay up to date with cloud, automation, and ML technologies. Share ideas that help us deliver and scale better every time. Requirements Experience & technical skills Bachelor's degree in Computer Science, Software Engineering, or a related field. Up to … in spotting gaps, suggesting improvements, and helping the team move faster. If you have any of this, even better Experience with PostgreSQL database design. Familiarity with computer vision or ML frameworks (e.g. PyTorch). Exposure to DevOps tools such as Docker, Kubernetes, or CI/CD pipelines. Understanding of cloud platforms (GCP, AWS), API integrations, or data engineering best practices. More ❯

/CAM libraries. Experience with parallel computing, GPU acceleration, or high-performance systems. Exposure to continuous integration, automated testing, and modern development workflows. Background in optimization, heuristic search, or machine learning-based decision systems. More ❯

Join Us as a Technical Team/AI/ML Engineer – AutoSafe Are you passionate about AI safety and trustworthy AI systems? Do you want to build the next-generation platform that proactively protects LLMs and AI agents from harmful, biased, or unsafe outputs? If yes, we want you on our founding team. About Bayora: Bayora is a research-driven … with real-world AI applications across domains. Collaborate on research-to-product translation, turning cutting-edge AI safety research into deployable tools. We're Looking For: Experienced AI/ML engineer with strong Python, PyTorch, or TensorFlow skills. Familiarity with LLMs, reinforcement learning, or generative AI. Passion for AI safety, alignment, or ethics. Problem-solver mindset; comfortable building from More ❯

with proven track record) Build data pipelines from scratch that process millions of mobile analytics events to predict user conversions weeks in advance Direct business impact - your pipelines feed ML models that help subscription apps optimise £millions in ad spend What We Do Day30 helps subscription apps improve paid acquisition ROI by providing predictive signals to optimise ad spend. We … connect directly to mobile measurement partners (MMPs) to analyse behavioural event data, build ML models that predict high-value conversions weeks in advance, and deliver these predictions to advertising platforms without compromising user privacy. We're a two-founder London startup combining deep expertise in performance marketing and machine learning. As our founding data engineer, you'll work directly … We're looking for someone who loves working with data - someone who gets excited about finding edge cases, building robust pipelines, and seeing their clean, validated datasets power accurate ML predictions. What You'll Do Data Pipeline Engineering Build production ETL pipelines that process mobile analytics events from AppsFlyer, Adjust, and other MMPs Engineer features for ML models: temporal patterns More ❯

Hybrid - London) Industry: Global Consumer Marketplace/App Department: Product & Insights A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide. What You'll Do Act as the lead data scientist for a core product domain Drive deep product analytics … and engagement Design, analyse, and interpret experiments across the product ecosystem Influence product strategy by connecting insights to business goals Improve datasets, dashboards, and analytical tooling Work closely with ML teams on discovery, ranking, and personalisation initiatives What We're Looking For Expert-level SQL + solid Python for product analytics Hands-on A/B testing experience (design + … Strong understanding of ETL/debugging data issues Excellent communication and stakeholder management skills Commercially-minded with experience balancing user and business needs Bonus: marketplace experience or exposure to ML-driven products Why Apply High-impact role shaping core product decisions Great benefits, flexible work, and strong wellbeing support Opportunity to work closely with ML teams and influence a global More ❯

Engineer who gets excited about turning messy, multi-source data into elegant, AI-ready architectures. This person will be the architect behind the curtain, making sure their behavioural scientists, ML engineers, and analysts have the rocket fuel they need. What they'll actually do: Build rock-solid data pipelines across AWS (S3, Glue, Athena, Bedrock, OpenSearch) and Microsoft (Fabric, Power … BI) Wrangle data from everywhere: RDS, MongoDB, HubSpot, S3 lakes—you name it Create the data foundations for their AI/ML initiatives (RAG workflows, LLMs, embeddings) Make Power BI dashboards that actually refresh when they're supposed to Implement governance that doesn't make people want to scream (metadata tagging, lineage tracking, the good stuff) Collaborate with brilliant behavioural More ❯

What you'll do Establish Agile foundations, ceremonies and team rhythms for a new GenAI squad Bring clarity to roles, priorities and collaboration across functions Support iterative GenAI/ML experimentation using flow metrics Facilitate ceremonies adapted to technical discovery and AI workflows Break down complex work into testable, incremental units Coach the squad through early-stage formation, ambiguity and … rapid learning Foster psychological safety, engagement and continuous improvement Work with engineering, data, architecture, security and wider … delivery teams What we're looking for Senior-level Scrum Master experience Proven background supporting greenfield or low-maturity teams Strong technical understanding (data pipelines, APIs, cloud, AI/ML lifecycle) Experience with AI/ML or data-driven teams is highly desirable Excellent coaching, facilitation and communication skills Insurance/financial services background Available immediately or on =4-week More ❯

ComfyUI nodes). Prior work in architectural visualization, design tech, or VFX pipelines. Familiarity with CAD/BIM or 3D rendering software. How This Role Differs from a Traditional ML Engineer This is not a research-heavy ML role optimising for academic benchmarks (FID, IS, etc.). Instead, success is measured by: Design quality & usability: how consistent, controllable, and aesthetically … unsolved design problems. Creative judgement: applying an architectural or visual design lens to AI evaluation. Applied prototyping: building fast, practical pipelines and UIs rather than focusing solely on production ML systems. If you thrive on hands-on generative AI work and love the idea of shaping tools for designers and architects, this is the role for you. Why join Gendo More ❯

to operate in multiple industries, including Financial Services, Resources, Products, Communications and Health & Public Services. In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying business and organisational challenges The More ❯

/3 days a week 6 month contract Inside of IR25 £750 - £800 per day My client is seeking a highly skilled software engineer to join its AI/ML team, contributing to the development of cutting-edge applications that accelerate drug discovery and enable personalised therapies. The ideal candidate will have strong Python backend development experience, preferably with FastAPI … DevOps practices, and automated testing. While a background in life sciences is a plus, a passion for improving healthcare through technology is essential. The role involves integrating AI/ML components into scalable web applications, collaborating across technical teams, and continuously improving software quality and performance. Key responsibilities Back end development for a Python web application Integration of AI/… ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices, including automated test suites and documentation Develop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them Participate in code reviews, continuously improving personal standards as well as the wider team and More ❯

Microsoft InTune Familiarity with GDPR and data protection requirements Desirable Certifications such as Security+, CEH, GIAC Experience with cloud security (Azure/AWS/GCP) Exposure to AI/ML tools in security contexts Experience with MDM platforms and mobile security Skills & Attributes Strong analytical and problem-solving skills Clear and confident communication skills Ability to work independently and collaborate … effectively Detail-focused, adaptable, and proactive Motivated by learning and professional development A full job spec is available on request, alongside a discussion on salary and the wonderful benefits this company has to offer. More ❯

Microsoft InTune Familiarity with GDPR and data protection requirements Desirable Certifications such as Security+, CEH, GIAC Experience with cloud security (Azure/AWS/GCP) Exposure to AI/ML tools in security contexts Experience with MDM platforms and mobile security Skills & Attributes Strong analytical and problem-solving skills Clear and confident communication skills Ability to work independently and collaborate … effectively Detail-focused, adaptable, and proactive Motivated by learning and professional development A full job spec is available on request, alongside a discussion on salary and the wonderful benefits this company has to offer. More ❯

Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL Preferred Qualifications Experience with AI/ML model More ❯

understanding of Lakehouse and medallion architectural models Hands‐on experience with Microsoft Fabric and/or Databricks in operational or data platforms Demonstrated ability to integrate AI components (e.g., ML pipelines, predictive analytics) into production environments Familiarity with enterprise service management tooling, particularly ServiceNow In‐depth knowledge of metadata, lineage, governance, and data security frameworks Strong communication and stakeholder engagement … and employee development. At UBDS Group, employees are given unique opportunities to work on cutting-edge projects across a diverse range of industries, exposing them to new challenges and learning opportunities that are pivotal for professional growth. The Group's culture emphasises continuous improvement, offering ample training programs, mentorship, and the chance to gain certifications that enhance their skills More ❯

do Build our automation frameworks and QA processes from scratch Lead test strategy across backend, frontend & APIs Create automated test suites integrated into CI/CD Collaborate with Engineering & ML teams to ensure high-quality releases Champion quality across the organisation What we’re looking for 5+ years QA experience with a strong automation focus Proven experience setting up test …/JavaScript test frameworks Experience with Playwright, Cypress or similar Cloud & CI/CD exposure (AWS/GCP/Azure, GitHub Actions, GitLab CI) Bonus: experience testing AI/ML systems Why join us? Build the QA discipline your way High impact role in a fast-scaling AI product company Competitive salary + equity Flexible working (remote/hybrid) Future More ❯

variants) to real-time performance. MLflow & Databricks Mastery: Lead the optimal integration and use of MLflow for model registry, experiment tracking, and deployment within the Databricks platform. DevOps for ML: Build and automate robust CI/CD pipelines using GIT to ensure stable, reliable, and frequent model releases. Performance Engineering: Profile and optimise large-scale Spark/Python codebases for … embed MLOps standards into the core Data Engineering team. Key Skills: Must Have: MLOps: Proven experience designing and implementing end-to-end MLOps processes in a production environment. Cloud ML Stack: Expert proficiency with Databricks and MLflow . Big Data/Coding: Expert Apache Spark and Python engineering experience on large datasets. Core Engineering: Strong experience with GIT for version More ❯

Technology Product Owner, AI Data Analytics, Microsoft Stack, Azure, Data Engineering, ML, Azure, Remote with Travel Technology Product Owner required to join a global Professional Services business based in Central London. However, this is practically a remote role, but when travel is required (to London, Europe and the States on occasions. We need someone who has come from a Development … track, analyze, and interpret KPIs to guide product improvements and communicate results to stakeholders. Technical acumen: Solid understanding of modern data platforms, including experience with medallion architecture, AI/ML applications, and cloud-native infrastructures. Communication skills:Excellent communication skills for conveying technical concepts to various audiences, including engineers, business partners, and senior leadership. Collaboration and flexibility: Experience working with More ❯