401 to 425 of 461 Machine Learning Jobs in London

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 ...

days) - £70,000-£80,000 + meaningful equity Company Our client is a London-based, well-funded startup specialising in analytics and predictive ML models . They help mobile apps optimise ad spend by analysing behavioural data and delivering predictive signals for high-value conversions. As the first data engineer … data pipelines and infrastructure, including: Build production ETL pipelines processing millions of mobile analytics events from MMPs like AppsFlyer and Adjust Engineer features for ML models, including temporal patterns, user behaviour sequences, and campaign attribution Ensure data quality via validation, deduplication, schema checks, and defensive programming Optimise pandas/Polars ...

been experimenting and building innovative solutions using the latest and greatest technology Proven experience in a technical role, with a focus on AI/ML Hands-on experience with AI Workbenches on major cloud platforms, such as Gemini Enterprise, Azure AI Agent Familiarity with GenAI frameworks and libraries like LangChain … space A professional certification in a major cloud platform (e.g., Google Professional Cloud Architect, Azure Solutions Architect Expert). Experience delivering production AI/ML services for scaled end-user consumption within the retail or CPG industry. What’s in it for you? At Accenture in addition to a competitive ...

data, AI, cloud, and digital solutions. They are committed to providing a platform for talented technologists to accelerate their careers through diverse projects, continuous learning, and robust support from senior consultants. If you are driven by curiosity and a desire to make a real impact, this is an excellent … building end-to-end data pipelines for ingestion, transformation, and loading, setting up efficient data lakes and warehouses, and collaborating closely with analysts, ML engineers, and platform teams. The ideal candidate enjoys solving complex problems, thinking critically, and is eager to experiment with the latest tools and ideas. The role ...

techniques to improve operational efficiency and deliver production-ready solutions. Key Responsibilities Apply exploration-exploitation methods and optimisation techniques (surrogate models, Bayesian optimisation, imitation learning). Build dynamic feedback control models and stochastic simulation models. Develop and solve Linear Programming and other optimisation problems. Deliver end-to-end, productionised … including Databricks). Work with cross-functional teams to define problems, test solutions, and implement improvements. Qualifications . Strong skills in optimisation, simulation, or machine learning. Proficient in Python and cloud platforms (Azure preferred). Randstad Technologies is acting as an Employment Business in relation to this vacancy. ...

through to deployment What We’re Looking For Strong experience with Python & SQL for AI and data work Hands-on experience building AI or ML-powered applications Familiarity with Google Cloud (Vertex AI, Gemini, or similar tools) Comfortable working in a high-pace, real-world environment Someone curious, pragmatic … research for research’s sake This is truly unique and will only suit a certain type of person. If you’re interested in learning more, please apply and we’ll give you a call to discuss if your experience is aligned. ...

small engineering team. Ideal candidates will have experience building scalable e-commerce systems, integrating third-party platforms (e.g., Shopify), and applying AI/ML to enhance performance and automation. Responsibilities Lead and mentor a small engineering team Architect and build scalable integrations across the e-commerce ecosystem Develop new features … roadmap Maintain high code quality, performance, and reliability Communicate effectively with both technical and non-technical stakeholders Implement data optimisation strategies Apply AI/ML technologies where relevant Troubleshoot and resolve issues across systems and integrations Improve and participate in agile development practices Conduct code reviews and mentor junior engineers ...

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 … 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 ...

device testing across major retail estates Manage incidents from first alert through to identifying product-level or architectural issues Collaborate closely with Engineering, ML, and Product teams to improve reliability and performance Translate complex technical issues into clear, confident guidance for enterprise retail stakeholders Act as the dedicated technical point … Solutions Engineer (deeply technical) Platform Support Engineer/SRE-lite Technical Account Manager with hands-on ownership Engineers experienced with distributed systems, IoT, or ML/AI platforms Why Join? Work across AI, computer vision, , hardware, and cloud technologies Significant technical variety, no two problems are the same Direct input ...

vector search, to push the boundaries of how AI can be applied to connectivity challenges. Our stack Backend: PHP (Laravel), Python (for AI/ML workflows) Frontend: React, Next.js (preferred), with flexibility for other modern frameworks Infrastructure: AWS (including Lambda, S3, DynamoDB), DigitalOcean Data: MySQL, Redis, NoSQL stores Dev tools … diversity and are committed to creating an inclusive environment for all employees. Tags/Skills: Lead Software Engineer, Laravel, React, Python, AWS, AI/ML, n8n, Claude Code, Cursor, Docker, Startups, DevOps ...

.NET Developer, C# 14 - Financial Consultancy - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS ...

Primary Location: London · Canary Wharf HQ (on-site) Plexe is building AI agents that turn simple plain-English prompts into full production ML applications, including data pipelines, models, and more. We're backed by Y Combinator (X25) and were named one of our batch's "Top-10 AI agent startups … give you a deeper understanding of our customers' needs and enable you to contribute meaningfully to the core product, including engineering multi-agent system, ML model serving, and more. You'll significantly boost your career prospects by working with a team extremely skilled engineers and taking full ownership of entire ...

APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality, security, and governance. Provide input on data architecture. Qualifications 5+ years of experience in data engineering, including significant experience … Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare data for model training and deploy AI models ...

data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. UK Citizen with SC (minimum). Desirable OCI and OIC experience. Exposure to ML/AI concepts and ability to support ...

intelligent workflows using modern AI tooling, contribute to cloud infrastructure and CI/CD pipelines, and experiment with emerging technologies in data engineering and machine learning. You'll have meaningful influence over architecture, tooling, and product direction while operating in a highly collaborative, early-stage team. What … development experience (e.g., Flutter). Benefits Flexible hybrid working model Generous Equity High ownership and autonomy Opportunity to influence architecture and product direction Fast learning environment with exposure to AI and modern cloud tooling Competitive compensation and early-stage growth opportunity Interview Process Short introductory call In-person technical ...

with Linux, SQL, Docker, AWS/GCP/Azure Lead pilots, rollouts and on-device testing across major retail estates Collaborate with Engineering, ML, and Product to improve reliability + performance Manage incidents from first alert to identifying product-level bugs Translate complex technical issues into clear, actionable guidance … with real ownership experience in live customer environments, ideally within RetailTech (SaaS), PoS systems, edge AI, computer vision, or IoT . You understand: Edge ML pipelines (training, validation, orchestration) Retail IT infrastructure (PoS, SCO, store networks) Integration frameworks (APIs, SDKs, cloud-edge sync) Technical Requirements Strong troubleshooting across: SQL Linux ...

assessing and improving an established Snowflake environment, driving cost optimisation, enhancing operational rigour, and supporting the team's move toward predictive analytics and ML Ops workflows. Role The Data Engineer will own and assess the Snowflake platform, proposing and executing optimisation around performance, cost, scalability, and architecture improvements. Lead … automate reliable deployment of data transformations. Provide deep insight into Snowflake infrastructure, including cost and pricing models, performance tuning, and resource governance. Support ML Ops/predictive analytics operationalisation - managing updates, performance monitoring, and change rollout rather than building models from scratch. Be a technical mentor and knowledge resource within ...

focuses on the US lending portfolio, working with a high-impact team with plenty of ownership and autonomy! THE ROLE Developing credit risk predictive ML models for US lending portfolios, primarily scorecard-based models Building and enhancing income models, early repayment models, and forecasting models Driving automation of lending decisions … modelling process - from data extraction and feature engineering through to deployment (no separate engineering hand-off) REQUIREMENTS Strong data science/modelling experience using ML techniques Background in Financial services, Banking, Insurance or Gambling Strong Python HOW TO APPLY Please apply below or send ...

models, and retrieval-augmented generation (RAG) systems Design evaluation frameworks addressing bias, hallucination detection, and business impact Explore novel AI applications while integrating traditional ML techniques where appropriate Who We're Looking For For Senior Engineers: 5–8+ years building robust, scalable software systems Full-stack development capability across modern … hands-on experimentation with tools like ChatGPT, Claude, GitHub Copilot For Principal Engineers: 8+ years delivering complex, enterprise-grade software Proven AI/ML expertise with production deployment experience Advanced knowledge of transformer architectures, foundation models, and prompt engineering Senior stakeholder engagement experience and ability to lead high-level ...

assets at scale. This gives us one of the most unique and physically accurate 3D datasets in the world. Now we’re building an ML-powered pipeline that can automatically predict material properties (diffuse, roughness, specular, metallic, normals) from photogrammetry input alone - without flash. This is made possible by tapping … asset creation workflows. Work with frontend developers to design and implement high-performance APIs that deliver exceptional user experiences. Integrate with ML infrastructure to orchestrate model workflows, manage job queues, and deliver results to users. This is a high-impact role for someone that loves to define and bring completely ...

analytics. t’s about building scalable, high-throughput systems that handle millions of events per day. You’ll work autonomously, collaborate closely with the ML/AI team , and help shape the company’s data architecture as they expand. Specifically, you can expect to be involved in the following: Technical … implement modern data tools independently . Experience with high-throughput systems (millions of events/day is ideal). Strong collaboration skills with ML/AI teams —understanding their data needs is critical. Autonomy, problem-solving, and excellent communication —this is a founding role. BENEFITS The successful Founding Data Engineer ...

Databases (SQL and/or NoSQL) Comfortable deploying and maintaining systems in production NICE-TO-HAVES: Experience with: NLP/sentiment analysis LLMs or ML pipelines Familiarity with: Cloud platforms (AWS, GCP, or similar) Basic data visualisation/dashboards Prior startup or early-stage experience How You Work: You like … least not yet) Not a large team with layers of management Not a place to coast or over-abstract Not a “research-only” ML role There is a clear path to senior technical leadership as the company grows. Compensation: £70k–£90k base salary (depending on experience) Meaningful equity with standard ...

sales engineering teams Broad technical foundation across areas such as cloud infrastructure, security and compliance, APIs, integrations, and modern approaches to AI/ML Demonstrated success in supporting large enterprise opportunities, from proof-of-value through to close This company values a top academic history so are looking … Presales Specialist/AI Presales Consultant/SaaS Integrations/APIs/Security/Compliance/AWS/Azure/GCP/NLP/ML/ISO27001/SOC2/GDPR ...

.NET Developer, .NET 10.0, C# 14 - Global Internet Icon - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML ...

.NET Developer (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS Living Standard, Programmer, Full Stack ...