1,476 to 1,500 of 1,733 Machine Learning Jobs in England

scalable, robust services in production environments, not just prototypes.* Hands-on experience working with Large Language Models (LLMs), Generative AI and modern AI/ML frameworks; current on the AI tooling landscape and able to keep up as it evolves.* Expertise in Python in AI/ML frameworks and libraries. … Demonstrated ability to understand and engage with a complex business domain — capable of sitting with non-technical professionals, learning how they work, and translating that understanding into production tools. Prior exposure to financial markets, broking, trading or other front-office environments is a strong plus.* Experience managing technical priorities ...

fast, and motivated to turn new technology into practical enterprise value. What You’ll Help Build Technology Radar: Support horizon scanning across AI/ML, quantum, blockchain, knowledge graphs, AR/VR, and more. Help track signals, summarize trends, and contribute to written assessments and internal updates. Hot-Takes/… problem statements Qualifications 2–5 years experience in technology, engineering, data, or applied research roles (or equivalent experience) Hands-on exposure to AI/ML concepts and modern developer tooling; familiarity with cloud platforms (AWS/Azure/GCP) preferred Experience building small prototypes (e.g., Python, notebooks, APIs, lightweight apps ...

Azure, Power BI, Business Intelligence, D365, Dynamics 365, lakehouse, datalakes, dataops, CI/CD, SQL, databricks, fabric, pyspark, spark, fabric, medallion, data model, AI, ML, data lifecycle, seamtic models, pipelines, Dataverse, T-SQL, Azure Base Data – Remote - £60-65kpa Our client are seeking a Data Engineer to join their … processing Understanding of DataOps principles, including CI/CD, automated testing, monitoring, and data lifecycle management. Awareness of enterprise data needs, including AI/ML enablement, governance, security, reusable data assets, plus strong problem-solving, collaboration, and continuous learning mindset. Location: Cambridge/Hybrid Candidates must be eligible ...

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 … 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/ ...

industry, financial market data and analytics Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake). Experience working with data, ML and GenAI and familiarity with API and web-based data delivery systems Ability to work as part of a larger team and being willing … building collaborative relationships. Certification in Agile methodologies Why Choose Fitch: Hybrid Work Environment: 3 days a week in office required A Culture of Learning & Mobility: Dedicated training, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing ...

trade finance? As a Global Solution Architect, you’ll be at the forefront of digital transformation—designing innovative solutions that leverage cloud, AI/ML, open banking, and sustainable finance. You’ll work with major financial institutions across EMEA, shaping strategies that drive efficiency, compliance, and ESG integration. … technical documentation that highlight the value and future-proofing of our solutions. Stay ahead of trends : Continuously research and apply emerging technologies—AI/ML, blockchain, open banking APIs, instant payments—to deliver innovative solutions that differentiate Finastra. Required Skills & Experience: Experience of working with corporate lending and trade finance ...

What you’ll do Build and scale backend services and APIs for web and desktop applications. Design and implement distributed systems for async processing, ML workflows, and asset pipelines. Own authentication, billing, and subscription systems — ensuring reliability and seamless user experience. Drive observability, performance tuning, and deployment automation across … stack. Collaborate closely with product, frontend, and ML teams to deliver features that delight and scale. You should have 5+ years of experience developing production-grade backend systems and APIs. Strong skills in Python (FastAPI or similar) and modern cloud infrastructure. Deep understanding of system design, scalability, and reliability . ...

trusted advisor to CIO/CDO/AI leadership , shaping data & AI transformation roadmaps Drive data product thinking with embedded AI/ML capabilities (intelligent underwriting, claims automation, pricing optimisation) Bring market perspective on AI-native data ecosystems, GenAI enablement, and agentic architectures 2. Data & AI Architecture Leadership … enabled accelerators to: Reduce migration timelines Improve accuracy and minimise manual intervention Enable continuous intelligence through pipelines that combine data engineering with AI/ML workflows 4. Insurance Domain & Data Products Deep understanding of Specialty Lines insurance (Commercial, Marine, Liability, etc.) Define and operationalise domain-centric data products , such ...

enjoy doing it). Creating a safe, curious environment: You'll foster a culture where experimentation is encouraged, failure is a lesson, and learning never stops. Owning delivery and quality: You'll keep things moving - prioritising work, unblocking challenges, and ensuring high standards across everything shipped. Driving engineering excellence …/CD, and performance optimisation (because smooth pipelines = happy teams). Building AI-ready foundations: You'll help shape data platforms that support ML and AI use cases - from reproducibility to responsible data practices. Shaping strategy and standards: You'll influence how data engineering is done at Skyscanner, evolving standards ...

analysis into clear, honest reporting and visualisations stakeholders actually use Growing toward the harder problems we work on: forecasting, route and resource optimisation, applied ML What we work with Python — pandas, NumPy, scikit-learn Jupyter notebooks Data visualisation — matplotlib, Plotly geopandas and geospatial analysis SQL Nice to have: exposure … optimisation (OR-Tools), basic ML, QGIS/ArcGIS You might be a good fit if you Are studying, or have recently finished, a numerate degree (Data Science, Computer Science, Maths, Physics, or similar) Are comfortable in Python and genuinely enjoy getting your hands into real-world data Are curious ...

based AI frameworks including RAG and orchestration patterns Strong experience working with vector databases and AI-specific data stores Solid understanding of AI and ML models, LLMs and generative AI architectures Experience implementing governance frameworks for model selection, deployment and lifecycle management Hands-on experience with AI-assisted development tools … Strong knowledge of cloud AI and ML platforms and associated architecture patterns Experience designing and managing APIs including REST and GraphQL Strong understanding of microservices and serverless architectures Practical experience with DevOps and MLOps practices including CI/CD pipelines Knowledge of security frameworks, identity management and authentication standards Desirable ...

scale a high-performing team of 8 (including engineers and analysts) across the UK and US. Foster a culture of psychological safety, continuous learning, and high-velocity execution. Be A Strategic Partner: This team works closely with Product, Marketing and Trading - it’s not enough just to deliver … collaborate closely with core platform teams to ensure seamless data flow and governance. Qualifications Experience: 10+ years in Data Science, Analytics, or Applied ML, with at least 5 years of experience leading senior ICs and managers. Technical Profile: You possess an "analytics-heavy" background (roughly 75% analytics/25% data ...

CirlceCI etc Awareness of the latest developments in testing tools and design patterns Bonus Points for: Experience with emerging technologies, e.g using AI/ML within your engineering projects Familiarity with testing in cloud environments such as AWS, Azure or Google Cloud Whats in It for You? At Scale Factory … lifestyle. Social Events: From annual kick-offs and Christmas parties to team socials and sporting events, we love celebrating success together. Training & Development: Tailored learning opportunities and full support for certifications to keep your skills sharp. Lets Build the Future Together Were on the lookout for passionate, talented individuals ...

agentic organizations Qualifications Proven experience leading high-performing engineering teams delivering complex, production-grade AI or data-driven systems Strong hands-onexpertisein AI/ML, LLMs, or agentic AI systems, with the ability to assess technical quality and guide solution design Track recordof taking AI or advanced technology solutions from … Private medical care scheme Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role #J-18808-Ljbffr ...

This is founding-engineer territory. The team is small, the problem is unsolved, and the market is massive. You're not joining a machine that's already running. You're building it. The architecture decisions you make in the next 6 months will define the platform for years. … just ship features. Experience in financial markets, algo-trading, or prediction market platforms (Polymarket, Manifold, etc.) Quantitative background in maths, statistics, or probability theory ML experience including random forests, regression models, scikit-learn, and PyTorch AWS infrastructure experience deploying containerised applications and managing cloud environments (EC2, Lambda, RDS) Open-source ...

experimentation, rapid productization, and clear business accountability.Applied AI Delivery* Oversee the design and delivery of production AI systems - agentic workflows, LLM-powered co-pilots, ML inference pipelines, embedded into live front-office operations.* Ensure solutions integrate seamlessly with core systems and existing architectures.* Drive the transition from proof-of-concept … scalable, enterprise-grade deployment with measurable adoption and impact.Data & Platform Strategy* Own the Applied AI platform strategy, including real-time data pipelines, ML feature stores, model registries, and agentic runtime and control plane infrastructure.* Partner with relevant teams and stakeholders to ensure a coherent, governed AI foundation.Governance, Risk & Compliance* Accountable ...

experience building scalable distributed systems or data platforms. Fluency in Python, SQL, Java, and modern data processing frameworks. Expertise in cloud-based AI/ML ecosystems, particularly AWS SageMaker (required). Proven experience developing monitoring frameworks, observability pipelines, and dashboards. Deep understanding of event-driven architectures and messaging systems (Kafka … security engineering, IAM principles, encryption, and cloud security controls. Experience with CI/CD, infrastructure-as-code, and automated testing for data/ML systems. In addition Exposure to MLOps, LLMOps, or model lifecycle management. Awareness of model risk and regulatory frameworks (e.g., SS1/23, NIST AI Risk Management ...

seven‐figure ACVs and multi‐quarter sales. Strong cybersecurity and/or AI experience: selling security, fraud, identity, data protection, or AI/ML/LLM‐based platforms into security, risk, data and engineering buyers. Deep familiarity with financial‐services risk and regulatory themes (fraud, AML/KYC, operational resilience … with limited resources. Skills and Competencies Domain fluency: Conversant in cybersecurity concepts (threat detection, data security, identity, network and application security) and AI/ML topics (LLMs, model risk, AI attack surfaces). Executive presence: Able to engage senior financial‐services executives with clear, outcome‐oriented narratives that connect ...

strategies, queues, and agent experiences (CCP/UI) Develop backend integrations using AWS Lambda, API Gateway, DynamoDB, S3, Kinesis, & REST APIs Implement AI/ML-driven automation using Amazon Lex, Contact Lens, Transcribe, Kendra services Support CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation), and DevOps practices Monitor … Level: 46+ years overall, with 35 years on Amazon Connect AWS Certification (Solutions Architect or Developer) Experience with Amazon Lex, Contact Lens, AI/ML integrations Exposure to real-time analytics and reporting (QuickSight, Kinesis) Experience with React and modern web technologies ...

cloud data platforms: Microsoft Azure (Fabric, Synapse, ADLS), AWS (Redshift, Glue, Lake Formation), GCP (BigQuery, Dataproc, Dataplex). Strong working knowledge of AI/ML engineering, MLOps, LLMOps, Generative AI, and Agentic AI frameworks. Familiarity with data governance tooling: Unity Catalog, Alation, Collibra, Purview, Snowflake governance, or equivalent. Ability … Science, or a related field. Certifications in Enterprise Architecture (TOGAF, ZACHMAN), Cloud (Azure Expert, AWS SA Pro, GCP Professional Data Engineer), or AI/ML platforms. Recognised industry thought leader with a public profile in enterprise AI and data transformation. Prior experience in Telco, Media, or Connectedness-adjacent industries ...

fast-growth background What You'll Work With AWS Kubernetes Terraform & Terragrunt Open-source observability (Grafana, Prometheus, Loki, Sentry) GitHub & Jenkins Redis ML/AI workflow pipelines Nice to Haves GCP - minor secondary cloud exposure Distributed tracing at scale Edge architecture or CDN delivery experience Why Join/Projects … second is a personalisation engine. The business is investing heavily in understanding user signals and behaviour to serve more relevant content. That means new ML workflows, data pipelines, and close collaboration with a large data team. The third is longer-horizon - global expansion, multi-region infrastructure, disaster recovery across regions ...

do. Our Analytics organisation sits at the heart of Deliveroo powering decision-making across product, commercial and operations through experimentation, causal inference and machine learning. From optimising rider dispatch to personalising customer journeys and forecasting demand at scale, we turn complex data into measurable business impact. We’re looking … Engineering (Tech Leadership Team) About Our Analytics Organisation We have an outstanding analytics organisation, with a mission to enable the highest quality human and machine decision‐making. We work throughout the company, in product, business and platform teams and are uniquely placed to use data to help make better ...

Innovation Team is a part of Toluna’s Insights and Innovation function. Responsibilities Be a subject matter expert on the application of AI/ML to solve common client problems Have a strong foundation in common statistical approaches used in market research and marketing Design and invent new, scalable approaches … successful involvement in designing new ways to solve client pain points. Experience using R or Python, Github, VSCode and common 3rd party AI/ML models Able to solve problems creatively and independently. Adaptable, proactive & comfortable with uncertainty Excellent communication skills, including the ability to understand and communicate technical concepts ...

data capture, through large-scale distributed processing, structured storage and Data LakeHouse design, to curated consumption by Data Scientists, Analysts, Engineers and AI/ML platforms. Spark and distributed data processing sit at the heart of this architecture; deep fluency in these domains is essentia l. What … data services, including AWS Glue (Spark-based ETL), Serverless compute, DynamoDB, S3-based Lake architectures, and associated security and governance t oolingWorking knowledge of ML and Generative AI platform architecture, including the design of Agentic AI systems within the data and software development lif ecycle Leadership & Commun icationExceptional communication skills ...

capabilities serving all private markets asset classes - including core data services, cross-fund analytics, workflow automation, and API infrastructure. Lead initiatives in AI/ML-enabled product features, including document extraction (e.g., fund documents, LP agreements, investment memos), NLP-powered search, and intelligent alert systems. Own the investor data model … cross-functional environment. Bachelor's degree required; MBA, CFA, or technical graduate degree preferred. PREFERRED QUALIFICATIONS Experience building or scaling AI/ML-powered product features - particularly in document processing, NLP, or predictive analytics. Familiarity with private markets technology stack and leading vendor solutions (Allvue, Efront, Dynamo, iLEVEL, Juniper Square ...