1,476 to 1,500 of 1,721 Machine Learning Jobs in England

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 ...

signals into actionable compound discovery and optimisation, powering a pipeline across: Discovery → Prediction → Design → Validation We are looking for a Senior Computational Biologist with ML Engineering background to help build, bridge, and functionalise the link between AI-powered biological discovery and real-world clinical outcomes. This role sits across biological … discovery and scalable ML engineering. You will own key parts of the end-to-end architecture from data to model to evaluation to deployment, and work closely with ML engineers and software engineers to productise the platform into client-ready outputs. This is a senior role with significant autonomy ...

company that values inclusion. A little about ADP: We are a global leader in human resources technology, offering the latest AI and machine learning-enhanced payroll, tax, human resources, benefits, and much more. We believe our people make all the difference in cultivating an inclusive, down-to-earth … years of experience in an implementation or business consulting environment. At least 2 years of experience in Human Resources, specifically within HCM, talent management, learning, succession, performance, and/or compensation. Leverage strong client relationship skills to influence and guide clients towards the best solutions to meet their needs. ...

leadership teams. Technical Fluency Sufficient depth to interrogate technical proposals, assess feasibility, and hold vendors and partners accountable. Working knowledge of modern AI and ML approaches including classical ML, large language models, and agentic systems, with sound judgment on when each is appropriate. Understanding of data infrastructure fundamentals – pipelines, governance … owned or influenced a P&L, shaped a product, or worked directly with enterprise clients on AI adoption. Hands‐on background in data science, ML, or software engineering earlier in career, lending credibility with technical teams and sharpening build‐versus‐buy instincts. Familiarity with agentic AI architectures, multi‐model orchestration ...

forward-thinking AI company is looking for a Research Engineer in Greater London. The role involves supporting researchers with large-scale ML pipelines, integrating cutting-edge research with production, and designing ML algorithms in Python. Candidates with a Master's or PhD in Computer Science and 4+ years of relevant … experience, particularly in deep learning and NLP, are encouraged to apply. The position offers competitive salary, equity, and hybrid working options. #J-18808-Ljbffr ...

small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible … system for millions of users Build convenient CI/CD processes and testing pipelines to support quick iterative development and system stability Work on ML model development with our team to build robust data pipelines and deploy ML models Analyse large corpora of data and build real-time recommendation systems ...

process mapping, stakeholder management, and benefits analysis. Proven ability to translate business challenges into technical AI requirements. Technical Skills Working understanding of AI/ML concepts (e.g., LLMs, supervised/unsupervised learning, vector databases, prompt engineering, model evaluation). Ability to interpret technical designs, data schemas, and integration patterns. … agile delivery methodologies. Comfortable coordinating across internal stakeholders, technology teams, and external partners. General Background 8-10 years' experience in business analysis, AI/ML project coordination, consulting, technology, or innovation roles. Experience in financial services, pensions, investment management, or regulated industries. Experience in regulated sectors (pensions, financial services). ...

Hands-on Sales Analytics leader who turns Markets Sales growth opportunities into production analytics and AI/ML capabilities with clear KPI outcomes, strong governance, and senior stakeholder alignment. Key role highlights Commercial-impact role focused on measurable Sales outcomes (uplift, win-rate, pipeline velocity, wallet share, and coverage productivity … . Hands‐on expectation to code and prototype, contributing production‐grade analytics/ML components (not only oversight). Own use‐case pipeline from idea to scaled adoption, with KPI definition, testing/experimentation, and benefits tracking. Build on modern data/ML platforms (e.g., Databricks/Spark and Snowflake ...

what" and "why") with software engineering (defining the "how"). This role requires a strong product mindset, with deep technical expertise. AI/ML Expertise: Deep subject‐matter expertise in applying modern AI/ML techniques to solve real‐world business problems. Experience with NLP, predictive modeling, or generative … suit your personal circumstances Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole ...

what" and "why") with software engineering (defining the "how"). This role requires a strong **product mindset, with deep technical expertise.*** **AI/ML Expertise:** Deep subject matter expertise in applying modern AI/ML techniques to solve real-world business problems. Experience with NLP, predictive modeling, or generative … suit your personal circumstances* Employee Assistance Program* Pension Plan* Paid Parental Leave* Special discounts for employees, family, and friends* Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self ...

customer feedback. What You Bring Your curiosity lets you ask what if, and surprise us again, and again. Proven track record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience ...

build reproducible training and evaluation data pipelines. - Track what frontier labs are shipping and bring back what's relevant. ## Essential experience - Experience building ML/AI systems in a research-adjacent context (industry, lab, or PhD). - Experience building LLM-powered systems: prompts, context engineering, agent architectures. - Experience working … model training generally, including the data, optimisation, and evaluation work around it. - Strong engineering fundamentals. Fluent in Python and comfortable across the AI/ML stack. - Experience running experiments rigorously, in academia or industry. You think about confounds. You can defend your results. - Experience with training and evaluation data pipelines ...