101 to 125 of 439 Machine Learning Jobs in London

or MSc) in a quantitative or technical field (Statistics, Mathematics, Physics, Computer Science, Machine Learning) Strong programming skills in Python (production-level) and SQL; confident with modern ML/AI libraries such as scikit-learn, TensorFlow, or PyTorch Familiarity with MLOps frameworks, model deployment, and cloud-based platforms (Databricks, AWS, Azure) Strong experience with data visualisation tools and More ❯

business challenges, demonstrating technical excellence and the art of the possible. You will work closely with sales teams, architects, and technical specialists to design, validate, and showcase AI and ML solutions using leading hyperscaler platforms. What You’ll Be Doing Support early-stage sales conversations by helping non-technical teams understand AI capabilities and solution options. Design, build, and present … cloud-based AI prototypes that bring proposed solutions to life. Translate customer challenges into viable and feasible AI/ML solutions that deliver measurable outcomes. Advise clients on technical requirements, dependencies, risks, and success criteria. Demonstrate deep knowledge of AI technologies and platforms to showcase credibility during proposals and client engagements. This Role Is for You If You Have: Extensive … performance, suitability, training needs, and deployment approaches. Practical hands-on experience with at least two hyperscaler AI platforms , such as: AWS Bedrock/SageMaker Google Vertex AI OpenAI Azure ML Solid understanding of statistics, machine learning, data science fundamentals, data engineering, and big data concepts. Knowledge of the process, data prerequisites, and success criteria required to deliver AI More ❯

Overview We are seeking an exceptional Head of Development, Automation and AI for an Investment Management House to lead our development team whilst driving automation initiatives and AI/ML integration across our technology organisation. This is a strategic leadership role for someone who can bridge cutting-edge technology with tangible business outcomes. Key Responsibilities Lead and mentor a development … staff and 3rd-party), fostering a culture of innovation and continuous improvement Drive automation initiatives across the organisation, identifying opportunities for efficiency gains through intelligent automation Integrate AI/ML capabilities into existing systems and develop new AI-powered solutions Establish and maintain coding standards, architectural decision-making processes, and technical debt management Create and execute technical roadmaps aligned with … teams of 8-15+ engineers Experience with code reviews, architectural decision-making, and technical debt management Ability to establish coding standards and best practices across teams AI/ML Expertise Strong understanding of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) Experience with LLM integration (OpenAI, Anthropic, open-source models) Knowledge of RAG architectures, prompt engineering, and vector More ❯

cross-selling and up-selling. Collaboration and Technology Integration Work with the technology/product team to ensure the marketing technology stack delivers desired outcomes (including personalisation, AI and machine learning) and provides a competitive advantage (focusing effort and prioritising around commercial returns). Create commercially focused CRO subscription experiences driven by data, with a focus on continual … your birthday. Our offices will be closed between Christmas and New Year's which are in addition to your annual entitlement Tailored training and development through both our inhouse learning platform and LinkedIn Learning A progressive and transparent culture focused on your development Flexible/hybrid working plus early finish Fridays Cycle to work scheme Enhanced Family Policies More ❯

Pulumi - Infrastructure as Code (TypeScript) GitHub Actions - CI/CD Firebase - Feature flags Cloudflare - CDN and DNS AI & Machine Learning Python BAML - LLM prompt engineering DSL Vertex - ML Ops Why Join Us This is a ground-floor opportunity to shape the product and the codebase from day one. You won't just be implementing tickets — you'll help More ❯

you’ll research, prototype, and deploy AI capability that will shape the company’s product ecosystem for years to come. You will: Identify high-impact opportunities to embed AI, ML, and agentic systems across a global SaaS platform Build prototypes, MVPs, and proofs-of-concept using real production data Experiment with LLMs, automation frameworks, advanced ML models, and emerging AI … you enjoy building working systems. You’re curious, practical, and excited by the chance to create impact. You may come from: Academic routes PhD or research background in AI, ML, or Computer Science Ready to apply deep expertise in a commercial SaaS setting Industry routes Senior or Lead Data/AI Engineer with strong applied experience Comfortable shipping AI features … or automation products Essential skills: Strong experience with Machine Learning, LLMs, NLP and Data Science Proven track record of building and deploying AI models (Python, TensorFlow, PyTorch, LangChain) Hands-on with cloud platforms (preferably Azure, or AWS, GCP) Good understanding of APIs, microservices, and data pipelines Able to prototype quickly and communicate findings clearly Why this role matters More ❯

Design, develop, and maintain data pipelines and data integration solutions using Azure Data Factory, Synapse Analytics, and related services. Build and optimise data models to support reporting, analytics, and machine learning use cases. Implement robust data quality, governance, and security practices across the data ecosystem. Collaborate with analysts, data scientists, and business stakeholders to understand data needs and More ❯

DevOps-first approach with experience in CI/CD, observability, and automation (Azure DevOps preferred) Confidence working in regulated enterprise environments with tight security controls Experience integrating AI or ML services into real-world applications Knowledge of authentication, secret management, networking, and model access governance Bonus Points For: Kong API Gateway, Kong Mesh, Flux CD AWS stack: EC2, EKS, S3 More ❯

DevOps-first approach with experience in CI/CD, observability, and automation (Azure DevOps preferred) Confidence working in regulated enterprise environments with tight security controls Experience integrating AI or ML services into real-world applications Knowledge of authentication, secret management, networking, and model access governance Bonus Points For: Kong API Gateway, Kong Mesh, Flux CD AWS stack: EC2, EKS, S3 More ❯

in the office Location: London About our Engineering Team As a business which has AI at its core, we need to have a reliable, scalable and secure real-time ML platform to deliver our product to customers. The Engineering team makes this happen. The team is UK-based, with a significant contingent in London, and is made up of pragmatic … to work across our entire stack building features which deliver AI capabilities to some of the biggest names in the insurance industry. We are developing a modern real-time ML platform using technologies like FastAPI, PyTorch, Ray, k8s (helm + flux), Terraform, Postgres, Flink on AWS, React & Typescript. We operate a fully Python stack except for frontend and infrastructure code. … minutes Building a real-time, configuration-driven platform that seamlessly adapts to diverse customer needs Ensuring autoscaling and cost-efficient model serving in production, with robust support for ML monitoring and experimentation Centralised reporting/metrics for both the business and our customers Powering user experience of internal and external users through agentic workflows Role Summary We are looking for More ❯

improve patient outcomes worldwide - and they're seeking a Backend Software Engineer to help bring that mission to life. The Role You'll be joining a multidisciplinary AI/ML team responsible for developing the infrastructure and software that powers cutting-edge research and intelligent applications. The role focuses on backend development in Python, integrating AI components with data, compute … frontend systems to create scalable, high-performance solutions. Day-to-day responsibilities include: Designing and implementing backend services for Python-based web applications (e.g., FastAPI). Integrating AI and ML components into production systems and APIs. Writing high-quality, well-tested, and well-documented code following best practices. Developing and monitoring metrics to improve system reliability and performance. Collaborating closely … with frontend engineers, data engineers, and ML specialists to build end-to-end pipelines. Participating in agile ceremonies and code reviews to uphold quality and delivery standards. Tech Stack & Skills Core skills: Strong Python backend development experience (FastAPI or similar frameworks) Cloud-native deployment experience (preferably Google Cloud and Cloud Run) Unit testing experience (pytest or similar frameworks) Familiarity with More ❯

join a scaling startup in the Education sector Salary up to £70k , depending on experience Fully remote role (Europe-based) Tech stack: Python, LLMs, LangChain, AI Agents, SQL, GCP, ML If you wish to keep your CV/data private, feel free to WhatsApp your details/CV to me, Dan - WHO WE ARE: We're an EdTech startup developing … an AI-powered learning platform that helps university students prepare for exams and supports children in improving their reading and writing skills. As we continue to scale, we're expanding our AI capability - designing intelligent systems that personalise learning, generate insights, and drive student success. WHAT YOU WILL BE DOING: Design and develop AI-driven systems and tools … process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: LLMs | LangChain | Agentic AI | AI Agents | Python | SQL | GCP | NLP | RAG | ML | AI Automation | Prompt Engineering More ❯

re valued from day one. Whether working with cutting-edge tech or shaping strategy for national-scale projects, you'll be trusted, challenged, and empowered to grow. We nurture learning through communities of practice and encourage creativity, autonomy, and innovation. If you're passionate about solving meaningful problems with smart and passionate people, Triad could be the place for … Spark. Implement ETL/ELT processes for structured and unstructured data. Optimise data workflows for performance and scalability. Collaborate with data scientists and analysts to enable advanced analytics and ML models. Ensure data quality, governance, and security across all platforms. Integrate data from multiple sources (cloud, on-prem, APIs) into a unified architecture. Monitor and troubleshoot data pipelines to ensure … security, and compliance standards. Excellent problem-solving and communication skills. Preferred Qualifications Experience with Azure Databricks or AWS Databricks. Knowledge of MLflow, Airflow, or other orchestration tools. Exposure to machine learning workflows and data science collaboration. Relevant certifications (eg, Databricks Certified Data Engineer Associate/Professional). Other Information If this role is of interest to you or More ❯

design and deliver scalable data and AI solutions across internal and client projects. You’ll own the full data lifecycle — from ingestion and processing to deployment and monitoring of machine learning models — while leading a small, high-performing team. What You’ll Do Build and maintain data pipelines and cloud infrastructure (AWS/GCP). Develop AI-driven More ❯

reporting for ALMT activities across multiple jurisdictions. Assist in data analysis and model development for risk assessment. Required Skills & Experience: Technical Skills: Strong knowledge of Python , data science , and machine learning . Hands-on experience with Large Language Models (LLMs) and AI chatbots . Domain Knowledge: Good understanding of risk management principles. Familiarity with financial products is a More ❯

skill development. Cross-Functional Collaboration Working collaboratively with other teams within the company, including non-technical teams, to ensure an integrated approach to AI solution development and implementation. Continuous Learning and Adaptation Staying updated with the latest developments in AI, machine learning, and related technologies to continually enhance the quality of solutions offered. Quality Assurance and Testing … to be aware of the latest developments in AI technology and innovating to find new ways to solve some of the hardest unsolved challenges in industry. Pro-active self-learning and openness to new ideas are essential. Ethical and responsible Our people are our greatest defence against the risks AI solutions can pose to individuals, organisations and society. Everyone More ❯

Cloud and AWS. Bonus points Startup experience Experience with Python web services (e.g. FastAPI, Django). Data engineering experience using PyData stack technologies (e.g. NumPy, Pandas, etc.) Experience building machine learning systems with LLMs, RAGs utilising embeddings. Technology Frontend: Typescript, , Vercel Backend: Go, Postgres, , Google Cloud Services: GitHub, Sentry, Stytch, OpenAI Perks & Benefits (for UK-based full-time More ❯

AWS Glue Solid analytical and technical skills Good communications skills both verbally and written; this role will be working closely with business users. NICE TO HAVE Development & Deployment of machine learning models using PyTorch Experience with GIS systems (Postgis,QGIS, ) WHATS IN IT FOR YOU? Working at CoStar Group means you'll enjoy a culture of collaboration and More ❯

e.g., microservices, Scrum, test-driven development) Strong problem-solving and communication skills, with the ability to translate business needs into digital solutions Familiarity with or interest in AI/ML, CI/CD, databases, integrations, programming, DevOps, or cloud infrastructure More ❯

such as ChatGPT, Claude, Gemini, or Perplexity. Strong understanding of generative AI principles, prompt chaining, context window management, and token efficiency. Proficiency in Python and experience with AI/ML frameworks like TensorFlow, PyTorch, or Hugging Face. Experience integrating AI into enterprise platforms such as DealCloud, Salesforce, or similar CRMs. Understanding of workflow automation tools (e.g., Zapier, n8n, Make) and More ❯

sales engineering. Knowledge of business process automation, RPA, or workflow orchestration tools. Experience in adtech, martech, or data-driven SaaS environments. Contributions to open-source projects in AI/ML, data, or dev tools. Benefits: At Zefr, we embrace a flexible work environment that empowers our team to do their best work—whether that's from home, a favorite local More ❯

cloud-native services, and on-prem platforms to enforce security-by-design principles. Deliver security capabilities that support modern work scenarios, remote access, zero-trust networking, and AI/ML workloads. Leverage automation frameworks and IaC to improve scalability and reduce manual intervention. Operational Security, SRE & Assurance: Ensure security platforms are resilient, continuously monitored, and designed for 24x7 support and More ❯

cloud-native services, and on-prem platforms to enforce security-by-design principles. * Deliver security capabilities that support modern work scenarios, remote access, zero-trust networking, and AI/ML workloads. * Leverage automation frameworks and IaC to improve scalability and reduce manual intervention. * Operational Security, SRE & Assurance: * Ensure security platforms are resilient, continuously monitored, and designed for 24x7 support and More ❯

standard for engineering excellence across the team, working closely with other principal engineers to align on strategy and drive technical leadership. You'll partner with peers in infrastructure and machine learning to deliver high-performance AI systems, and mentor engineers across multiple squads. While you won't have direct reports, you'll play a pivotal role in shaping … creativity of work. Open communication, regular feedback: we value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and a growth mindset makes us better together. Learning Time: we all have dedicated learning time to focus on new skills, projects or interests that lay outside of your day-to-day job. Health & Wellbeing: we want More ❯

Central Government agency, working on advanced data and AI-driven solutions to support a mission critical project. This role offers the opportunity to work on cutting-edge initiatives applying Machine Learning, Natural Language Processing, and Large Language Models (LLMs) within a secure environment. Key … Skills & Experience: Proven experience as a Data Scientist , ideally in a government or large-scale enterprise environment. Strong Python programming skills, including experience with data science and AI/ML frameworks (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow). Experience developing and fine-tuning LLMs and working with generative AI tools. Hands-on experience with Microsoft Azure (Azure ML, Databricks … complex datasets. Strong understanding of data ethics, governance, and responsible AI principles. Must have SC Clearance and 5 years' continuous UK residency . Desirable: Experience with MLOps or deploying ML models into production. Familiarity with data engineering workflows and pipelines. Knowledge of working in a secure or public sector environment. If you believe your experience is in line with the More ❯