1,326 to 1,350 of 4,967 Machine Learning Jobs in England

engineering standards. Your Responsibilities: Design and build robust services(APIs,CLI toolsand software modules)that power scientific applications and products. Bridge diverse components, integrating ML inference servers, hardware interfaces, and data pipelines into cohesive systems, while ensuring high availability and low latency. Own the full production path—from architectural design … implementing and deploying robust, scalable distributed systems in production. Demonstrated experience designing, managing, and orchestrating complex systems involving scalable data infrastructure, hardware interfaces, and machine learning models. Expertise in defining and exposing functionality via clean, well-documented APIs (e.g., REST, gRPC). Proven experience implementing and managing robust ...

Performance & Development and People Analytics, such as follow-up questions inside summaries and smart metrics on the analytics dashboard. You do not need a machine learning background. Most of this work is building well-designed, reliable backend systems, and it is not fundamentally different from building any other … API. What is different is who you build it with and what sits on top: you will work day to day alongside machine learning engineers, and the systems you build are what every agentic experience at Personio will run on. If you are a strong backend engineer ...

role for someone who wants their models used, not admired. You will solve complex customer and commercial problems through advanced analytics, experimentation and machine learning, working with rich customer, booking, behavioural, marketing and digital data. The problem space is broad: segmentation, propensity, personalisation, customer value, retention, forecasting … answers is genuine. What Will You Do? Lead complex data science initiatives from problem definition through modelling, validation and implementation. Build predictive and machine learning solutions across priority customer and commercial use cases. Apply advanced statistical techniques to uncover behaviour, patterns and commercial opportunity. Design rigorous experiments ...

centralized global team responsible for all aspects of workforce data strategy, analytics and reporting, and governance, and includes the development of AI and machine learning based solutions. We have a vision to help make individuals, teams, and businesses at JPMC among the most engaged and productive … people who carry it out. Job responsibilities Act as the hands-on leader of a team that delivers commercial outcomes using AI and machine learning solutions across our people-focused product areas Direct the full research lifecycle, from framing problems and generating hypotheses through experiments, prototypes, and results ...

emerging technologies. Key Responsibilities Design, develop and implement AI solutions for customers and internal business requirements Identify opportunities where AI, automation and machine learning can improve business processes Integrate AI technologies into existing IT environments and managed service solutions Work with Microsoft and cloud-based AI technologies, APIs … comfortable working in a customer-facing Managed Service Provider environment. Ideally, you’ll have: Proven experience working as an AI Engineer, AI Consultant, Machine Learning Engineer or similar Practical experience implementing AI solutions within an MSP or managed service environment Strong understanding of Generative AI, LLMs ...

gain value. You understand how and why our solution is best-in-class (or how is measures up to competitors) Leverage AI and machine learning capabilities to enhance product decision-making, identify customer behavior patterns, forecast trends, and uncover unmet needs. … Apply AI-powered analytics to validate product assumptions, track adoption, and surface opportunities for improvement. Collaborate with engineering to explore and integrate AI/ML features that add value to the customer experience while staying informed on emerging technologies and their potential application across the product lifecycle. Requirements Bachelor ...

secure video record of every procedure; improving training, education, and collaboration. It is an intuitive asset which helps instil a culture of continuous learning, accelerates the adoption of cutting-edge medical devices, and enhances surgical performance across the entire global workforce - improving outcomes and saving lives. Proximie was commercialised … dependable at scale. Using your deep technical expertise and real‐world production experience, you will own the platform and the infrastructure that carry our machine learning solutions out of development and into hundreds of live hospitals, and keep them performing once they are there. Our machine learning ...

driven lakehouse built on AWS and aligned to medallion architecture principles — delivering high-quality, well-governed data products that support analytics, trading insight, and machine learning use cases. This platform underpins critical decision‐making across trading, risk, personalisation, and analytics, and represents a key step forward in standardising … between upstream event producers and downstream consumers. Optimise pipelines and storage for performance and cost efficiency within AWS. Collaborate with analytics, data science, and machine learning teams to translate business requirements into high‐quality data assets. Contribute to data governance practices, including metadata management, lineage, and discoverability. What ...

Senior Machine Learning Engineer Salary: £80,000 - £90,000 Location: London|Hybrid Data Idols are working with an innovative technology business that is continuing to invest in its Machine Learning and AI capabilities. They are looking for a Senior Machine Learning Engineer to help … build and deploy high-performance Machine Learning solutions, working across modern AI and Generative AI technologies. You'll work across the full ML lifecycle, from experimentation and development through to deployment, monitoring and optimisation in production. You'll help establish robust MLOps practices and ensure Machine Learning ...

discovery, design and delivery of data modernisation and migration projects, helping customers build the foundations required for successful adoption of AI and machine learning technologies. Working across consulting, advisory and technical delivery activities, you will help customers unlock value from their data while supporting large-scale cloud … Adoption Framework principles. Deliver end-to-end data platform projects covering architecture, deployment, configuration and optimisation. Work with Architects and AI specialists to support machine learning and AI initiatives. Support the development of repeatable data and AI delivery frameworks and methodologies. Act as a technical escalation point, supporting ...

source of process for its own sake. You're technically fluent enough to hold your own with strong engineers: you can translate an ML model, a streaming architecture or a latency constraint into a business trade-off a stakeholder can act on, and tell a real architectural limit from … thinking - able to see the big picture and make connections across teams and issues. Technical acumen: the ability to translate highly technical engineering constraints (machine learning models, streaming architectures, latency) into clear business trade-offs for non-technical stakeholders. Deep domain fluency in identity and access management, subscription ...

medicine, digital health technologies, and AI-driven clinical innovation. The successful candidate will contribute to cutting-edge research at the intersection of digital pathology, machine learning, and computational biomedical sciences. The role involves developing and applying advanced artificial intelligence methods to digital pathology data, including whole-slide imaging … interdisciplinary research collaboration, particularly with clinical or biomedical partners Ability to contribute to research strategy and funding applications Required Expertise/Skills Expertise in machine learning and artificial intelligence methodologies Strong background in digital pathology, medical imaging, or computational image analysis Proficiency in programming languages such as Python ...

strategic decision-making? Join Novo Nordisk as a Data Science Specialist and help drive critical early R&D decisions by applying advanced analytics, machine learning, causal inference and AI to some of the most important questions in drug discovery and development. Your new role As a Data Science … priority data science projects that support preclinical and early development decision-making. Developing and implementing analytical and agenticAI approaches across causal inference, statistical modelling, machine learning, deep learning and multimodal data analysis. Translating biological, clinical and portfolio questions into executable analysis plans and actionable evidence. Driving scientific ...

offs, and alternative approaches Maintain engineering excellence through automated testing, code reviews, observability, monitoring, alerting, operational readiness, and participation in on-call support Apply machine learning operations practices, including prompt versioning, automated evaluation, deployment pipelines, monitoring, and production issue resolution Partner closely with product managers, data scientists, machine learning engineers, and fellow engineers to translate requirements into reliable software solutions Mentor engineers, contribute to shared frameworks and developer tooling, document system designs and operational runbooks, and promote responsible AI practices across delivered features About the Team Our Digital Content and Innovation (DC&I) team is responsible ...

innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction. The Expedia Group Pricing … globally distributed team environment Preferred Qualifications Experience with low-latency and high-throughput processing (1M+ TPS) microservices. Demonstrated proficiency in safely integrating AI/ML-enabled solutions within backend systems and leveraging AI-driven tools or workflows to enhance real-world product outcomes. Accommodation requests If you need assistance with ...

chain datasets. The ideal candidate will hold a PhD in a related technical field, with expert proficiency in Python and SQL, alongside experience in machine learning and statistical modeling. This role involves mentoring junior team members and collaborating on innovative projects within the blockchain space. #J-18808-Ljbffr ...

Senior Lecturer/Lecturer (Asst Prof) and other positions in Machine Learning in Manchester, UK Apr 25, 2022 Manchester Centre for AI Fundamentals has positions open at all levels: Senior Lecturer, Lecturer, Research Fellow, Postdoc, and PhD (funded). Now is the time to join the University … area of the fundamentals of machine learning, including probabilistic modelling, deep learning, reinforcement learning, causal modelling, human-in-the-loop ML, explainable AI, ethics, privacy, and security. These roles focus on advancing machine learning methodologies, though applications of ML are highly valued. Candidates ...

finance and healthcare social sciences. The Section provides in particular a strong and interdisciplinary research network covering all aspects of big data analysis and machine learning, through links to Imperial’s Data Science Institute, the Mathematics in Medicine initiative; Imperial’s Machine Learning Initiative, Imperial ...

secure video record of every procedure; improving training, education, and collaboration. It is an intuitive asset which helps instil a culture of continuous learning, accelerates the adoption of cutting-edge medical devices, and enhances surgical performance across the entire global workforce – improving outcomes and saving lives. Proximie was commercialised … dependable at scale. Using your deep technical expertise and real-world production experience, you will own the platform and the infrastructure that carry our machine learning solutions out of development and into hundreds of live hospitals, and keep them performing once they are there. Our machine learning ...

Role As a Data Scientist, you will develop predictive models and analytical solutions that support client decision-making and customer strategy. Responsibilities include: Building machine learning models across use cases including propensity to pay, customer acquisition, churn prediction, lifetime value and segmentation Developing classification, regression and clustering models … Offer Salary up to £65,000 Hybrid working with two days per week in London Exposure to a broad range of Data Science and machine learning projects Direct client engagement and stakeholder exposure Access to modern cloud and analytics technologies Strong opportunities for technical and professional development Collaborative ...

general. As a Lead Data Scientist within Marketing Science at NEXT, you will build data driven solutions through state of the art machine learning, causal inference and experiment design to measure true impact and make impactful recommendations to the business. As a Lead you manage … PySpark and dashboarding in PowerBI/Looker. Experienced running Geolift test, causal inference model, and other forms of experimental design. Solid foundation in machine learning, statistics, econometric modelling,analytical and problem solving skills Strong communication skills with the ability to translate complex data insights into actionable business strategies. ...

future direction of the AutoLab AI platform. Essential knowledge, skills, and experience MSc, PhD, or equivalent industry experience in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related discipline. Hands-on experience with frontier foundation models, including autoregressive foundation models such as Large Language Models (LLMs), Vision … Language-Action (VLA) models, as well as embodied AI models and world models. Experience with continuous pre-training, post-training, supervised fine-tuning, reinforcement learning, and other foundation model optimisation techniques. Hands-on experience building end-to-end machine learning pipelines, including data curation, data mixing, model ...

learning frameworks (Pytorch, JAX, TensorFlow). You can work on different layers of the stack from low-level training backends, data ingestion to ML/RL algorithmic design and implementation. You know when and where to be rigorous and slower versus when to break and iterate quickly. You have … Publications in top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL, ICCV, AAMAS, ...) Advanced degree (PhD or MSc) in a relevant field (e.g., ML, DL, NLP, CV) Experience with large-scale distributed training and inference (multi-node, large models, MoE, parallelism strategies, etc) Experience training models for computer ...

Innovation and help shape the use of predictive science in Crop Protection R&D. As a Senior Data Scientist – Predictive Science, you will develop machine-learning and predictive-modelling approaches that guide the discovery, optimisation and development of Crop Protection solutions. You will connect diverse scientific data with … performance indicators and success metrics for predictive modelling initiatives to demonstrate business impact. Mentor junior data scientists and analysts, fostering a culture of continuous learning and methodological excellence within the team. Ensure robust documentation of modelling approaches, assumptions and validation procedures to support reproducibility and knowledge transfer. Communicate complex ...

Hive owns. Ship applied AI into live accounting, legal and advisory workflows every week. What you bring 3+ years of experience building production-grade machine-learning, data or LLM-powered systems. Strong experience with Python, data engineering, retrieval, LLM applications and evaluation. A Master's degree in Computer … Science, Machine Learning, Data Science, Mathematics, Physics or a related quantitative field. Experience moving AI from prototype into dependable production software. You care about useful, reliable systems in customers' hands, not just impressive demos. How we work We are building something ambitious with a small, high-energy team ...