1,001 to 1,025 of 1,722 Machine Learning Jobs in England

role We are seeking a Domain Architect for the In Silico stream to assess the current research data, computational biology, bioinformatics and AI/ML environments. The role is hybrid, with expected visits to Oxford or London for onsite collaboration. Responsibilities Design research data platforms and cloud analytics environments. Define … with multi-omics and multimodal evidence integration. Experience designing research data platforms and data-intensive scientific workflows. Experience designing cloud analytics and AI/ML platform architectures. Understanding of the full machine-learning lifecycle, including development, validation, deployment, monitoring and reproducibility. Experience with knowledge graphs, semantic technologies, retrieval ...

internal capability building through knowledge sharing and training initiativesInnovation & Optimisation Continuously improve AI models and platforms to enhance performance and customer engagementLeverage advancements in machine learning and generative AI to drive innovationStay at the forefront of emerging AI trends and technologiesWhat Were Looking For Strong expertise in AI/ML, ideally within digital or mobile platformsProven experience designing and delivering scalable, cloud-native AI solutionsexperience working within globally distributed teamsSolid understanding of AI governance, ethics ...

optimise batch and streaming pipelines, implement Delta Lake lakehouse patterns, and deliver well-governed data sets that power reporting, analytics and AI/ML use cases. Build and maintain data pipelines and lakehouse solutions: Use Databricks and Apache Spark to ingest, transform and curate data in Azure Data Lake Storage … governance: Develop scalable data models, apply validation/quality checks, and follow governance practices to ensure reliable and auditable data products. Enable AI/ML and analytics use cases: Prepare curated datasets and features, collaborate with data scientists, and integrate pipelines with ML workflows (e.g., MLflow) where required. Monitor ...

building through knowledge sharing and training initiatives Innovation & Optimisation Continuously improve AI models and platforms to enhance performance and customer engagement Leverage advancements in machine learning … generative AI to drive innovation Stay at the forefront of emerging AI trends and technologies What Were Looking For Strong expertise in AI/ML, ideally within digital or mobile platforms Proven experience designing and delivering scalable, cloud-native AI solutions experience working within globally distributed teams Solid understanding ...

full‐stack shop that brings together product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms. Our focus is on creating a next‐generation data experience for GSK’s scientists, engineers, and decision‐makers, increasing productivity and reducing … Deep technical fluency with cloud‐native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale advanced AI/ML applications. Preferred Qualifications & Skills Master’s or PhD in a technical or scientific field, with a focus on computational science, biomedical sciences, AI, data science ...

sharpness in problem solving. Evidence of personal agency in driving toward net optimal outcomes. Strong machine learning priors, ideally with experience training ML models for production use-cases. Ability to hold large, complex systems in working memory and reason clearly about mechanics and failure-modes. Attention to detail. ...

work on crucial questions regarding the trustworthiness of compiled knowledge and will be encouraged to publish your findings. Candidates should have a PhD in ML/NLP/IR or equivalent experience, and a robust background in machine learning and retrieval techniques. #J-18808-Ljbffr ...

scalability Translate business problems into AI use cases, defining data needs, model approaches, success metrics, and risks Work closely with data scientists and ML engineers to guide the development, evaluation, and deployment of AI models Ensure AI products are usable, explainable, and trusted, incorporating user feedback and adoption considerations Define … including governance, bias mitigation, and ethical considerations Qualifications Experience as an AI Product Manager, Product Manager (data/AI) Strong understanding of AI/ML concepts and lifecycle including data, modelling, deployment, and monitoring, without needing to code Proven ability to define and deliver data‐driven or AI‐enabled products ...

business transformation. This includes: Core Google Cloud Platform (GCP) Solutions Google Cloud Platform (GCP) – compute, networking, serverless, containers Vertex AI, GenAI, AI/ML Platforms – advanced AI solutions and managed services BigQuery & Data Analytics – data warehouses, analytics pipelines Anthos, Kubernetes & Cloud Infrastructure modernisation Security, governance, and compliance tooling Integration with … Google Workspace and collaboration platforms Searce Services You’ll Represent Cloud modernisation & migration consulting Data & analytics implementation Applied AI & machine learning solutions Full-stack engineering and product delivery Future of work transformation using collaboration platforms Managed cloud services & ongoing optimisation You will engage CxOs and enterprise stakeholders ...

assigned areas, balancing user value, technical constraints, and delivery speed Design and implement AI‐powered workflows using LLMs, tools, and agentic systems Build ML‐driven capabilities such as classification, ranking, extraction, and decision support Create human‐in‐the‐loop systems combining automation with expert escalation Collaborate closely with founders, engineers … across the stack with a strong bias toward shipping impact Requirements 4+ years of professional experience building production software Proven delivery of AI or ML‐powered features used by real customers Hands‐on experience with LLMs, prompt design, and agent orchestration Strong Python skills and solid backend/API fundamentals ...

accounts payable processes. Processing millions of transactions for enterprise customers including AstraZeneca, GSK and Virgin Atlantic, they've built a platform that combines automation, machine learning, and AI to eliminate manual finance workflows and save customers significant time and cost. They're now looking for a Software Engineer … their product engineering teams. This is a great opportunity for a mid-level Software Engineer who wants to work on meaningful backend challenges while learning from experienced technical leaders in a business that is scaling rapidly. You'll be working on: • Building new product features in Python and Django ...

Search Place Limited in Eastbourne is seeking an experienced Product Manager III for its GenAI and Machine Learning Platform team. In this role, you will define and execute product strategies that drive AI-driven innovation, collaborating with cross-functional teams to enhance productivity and user experiences. The ideal ...

efforts that drive significant value for customers and the business. You’re data‐driven and commercial, and have a track record of collaborating with machine learning experts or data scientists to define key metrics, run experiments, and deliver business impact. You can systematically break down and solve complex … Monzo. You’re intellectually honest about your work’s performance, continually striving for improvement. You’re a fast learner, humble and curious, and enjoy learning every day and sharing your knowledge and experience. What’s in it for you £100,000–£125,000 base salary, plus incentive awards tied ...

processing large volumes of sensitive healthcare data securely and reliably. Build the platform infrastructure that enables Healthcare Capacity Intelligence at scale. Collaborate with ML to productionise models and integrate AI capabilities into robust, observable services. Own system reliability, performance and operational excellence through monitoring, alerting and observability. Design secure systems … driving projects from design through to production. Experience with Docker, ECS, Kubernetes or similar container platforms. Nice to have Experience deploying and operating ML or AI systems in production. Experience with Django Framework. Experience with IaC such as terraform. Familiarity with GDPR, information security and compliance frameworks. What success looks ...

Title: Reinforcement Learning (RL) Engineer, Manipulation Company: Randstad Technologies Recruitment Location: City of London, London Salary: £80,000 – £120,000/annum We are currently supporting an exciting, top‐notch high‐tech robotics company in London as they assemble an elite team to define their 2026 technical roadmap. This … foundational opportunity for world‐class talent to solve the most complex challenges in high‐DOF autonomous systems and embodied AI. Expertise areas AI/Machine Learning MLOps Software Engineering Data Science The environment The mission is driven by high‐bandwidth, in‐person collaboration. This ...

Ensure each component delivered for e-Trading also provides value across Credit Flow. Deploy analytical techniques as appropriate ranging from statistical analysis to modern machine learning. Initiate and develop the analytics and tooling that serves the whole of Credit Trading. Take ownership of their projects from inception to final … solutions for e-trading workflows such as pricing, risk analytics, and RFQ optimisation . The candidate will demonstrate the ability to apply statistical and machine learning techniques to large, complex datasets, translating insights into scalable, production-ready tools that drive trading performance. They will be comfortable partnering closely ...

features perform consistently in production while handling the complexities of multi-step reasoning, tool integrations and long-running workflows. Working closely with product and machine learning engineers, you'll help transform cutting-edge AI capabilities into production-grade services used across multiple applications. What You'll Be Doing … infrastructure. • Build resilient systems capable of handling unpredictable model behaviour and external dependencies. • Develop robust observability through logging, tracing and debugging. • Collaborate with ML and Product teams to deliver reliable APIs and production-ready AI services. You'll likely have experience with some of the following: • Strong backend engineering experience ...

love to hear from you if you have: Experience in People Analytics, Workforce Analytics, Skills intelligence or HR Data Management Exposure to AI, machine learning or advanced analytics use cases in HR Familiarity with HR technology ecosystems including HRIS, payroll, talent, learning, skills management and workforce management ...

STEM subject such as Mathematics, Data Science, Computer Science, or similar Solid programming skills, ideally in Python Understanding of statistical modelling and machine learning fundamentals Hands-on experience through internships, placements, or personal projects Demonstrated curiosity and initiative, such as side projects or GitHub work Clear communication skills … business-critical models Fast career progression as the team continues to grow Work abroad flexibility for short periods each year Supportive environment with strong learning and development opportunities How to Apply If you are a graduate or early-career data scientist looking to make an impact in a high ...

Maxwell Bond is seeking an AI Engineering Lead to take a leading role in building and shaping a growing AI capability within a consultancy environment. This remote-first position offers up to £130,000 and ...

experience in financial services with demonstrated leadership across complex, cross-functional, and global environments. AI-First Mindset: A genuine understanding of how AI and machine learning are reshaping product development, with hands‐on experience in AI governance or intelligent automation. Enterprise Architecture Fluency: Experience with capability modelling, business … 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 ...

Description The AI & Automation Centre of Expertise (GenAI CoE) at Experian helps teams across Experian's UK business. It improves products using Generative AI, machine learning, and automation. The centre has a focus on responsible, measurable impact.This is a hybrid role reporting into the Head of Automation … with early-stage, ambiguous ideas and turning them into structured opportunitiesHands-on and curious, with an interest in testing and building solutions quicklyMotivated by learning new AI capabilities and low-code tools as they emergeYou will connect needs, data, and technology to make better decisionsA big part ...

Description The AI & Automation Centre of Expertise (GenAI CoE) at Experian helps teams across Experian's UK business. It improves products using Generative AI, machine learning, and automation. The centre has a focus on responsible, measurable impact. This is a hybrid role reporting into the Head of Automation … stage, ambiguous ideas and turning them into structured opportunities Hands-on and curious, with an interest in testing and building solutions quickly Motivated by learning new AI capabilities and low-code tools as they emerge You will connect needs, data, and technology to make better decisions A big part ...

Data Scientist £120K – £140K + Equity London Hybrid At Data Idols, we are working with a high-growth technology business using advanced data science, machine learning and operational intelligence to solve complex real-world movement and optimisation problems at scale. They are now looking for a Staff Data … Skills and experience Strong Python and SQL skills Experience working with geospatial, routing or movement-related data Experience building production-grade data products or ML systems Strong stakeholder management and communication skills Experience working with large, complex or unstructured datasets Experience operating in fast-moving environments If you are looking ...

processes, collaborating across teams to resolve data issues in a timely and effective manner.Tool Evaluation & Implementation: Evaluate, select, and implement market-leading AI/ML automation platforms and technologies to support all data quality initiatives.Stakeholder Collaboration: Work closely alongside business stakeholders, data stewards, and IT teams to understand technical data … field, with proven experience implementing automation and AI for data profiling, cleansing, and standardisation.Tool Proficiency: Proficiency in AI-driven data automation tools, understanding of machine learning principles, and exceptional capabilities in SQL, spreadsheets, and other data analysis tools. (Experience with Google applications is a plus).Governance & Standards ...