601 to 625 of 4,046 Machine Learning Jobs in England

contributions will genuinely make a difference. The Role As a Graduate AI Engineer, you’ll support the development and deployment of AI and machine learning solutions across a range of innovative projects. The successful candidate will be passionate about emerging technologies, eager to learn, and excited … Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn Internship, university project, or personal portfolio related to AI/ML What’s on Offer Competitive graduate salary package Company stock options/equity scheme Hybrid and flexible working environment Direct mentorship from experienced AI engineers ...

provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning/data mining algorithms to answer those questions and implement those on the C3 AI Platform so they can run at scale.Qualified candidates … agentic solutions, regression and classification, supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus, probability and statistics).Experience with scalable ML (MapReduce, streaming).Ability to drive a project and work both independently and in a team.Smart, motivated, can do attitude, and seeks to make a difference.Excellent verbal ...

technology performance against industry leadersAI-Powered Technology Analysis & InnovationCollaborate with Technology and AI teams to develop proof of concepts using emerging AI and ML technologiesDrive innovation in technology strategy analytics: NLP for trend analysis, automated competitive intelligence, and predictive forecastingDevelop AI-powered capabilities for technology due diligence automation, market intelligence … infrastructure, cloud platforms, software architecture, and emerging technologiesProficiency in advanced analytics tools: cloud-based data science environments, big data technologies, and Gen-AI/ML platformsBenefitsCompetitive salary + Bonus25 days annual leave with the option to purchase 5 moreMatched pension contribution up to 10%Access to our car benefit schemeSubsidy ...

to Rank : Expertise with pointwise, pairwise, and listwise ranking approaches, including re‐ranking, diversity, freshness, novelty, deduplication, and relevance optimisation. User Modelling & Behavioural ML : Experience modelling user intent, preferences, workflows, and engagement patterns. Familiarity with session‐based learning, sequence modelling, and balancing short‐term versus long‐term user … Graph & Entity‐Aware Ranking : Ability to incorporate relationships between companies, sponsors, lenders, law firms, instruments, documents, and events into ranking and recommendation decisions. Production ML Engineering : Experience building feature pipelines, online and batch inference systems, low‐latency ranking services, experimentation platforms, and monitoring for production machine learning systems. ...

best-action systems.Learning to Rank: Expertise with pointwise, pairwise, and listwise ranking approaches, including reranking, diversity, freshness, novelty, deduplication, and relevance optimisation.User Modelling & Behavioural ML: Experience modelling user intent, preferences, workflows, and engagement patterns. Familiarity with session-based learning, sequence modelling, and balancing short-term versus long-term user … start environments.Graph & Entity-Aware Ranking: Ability to incorporate relationships between companies, sponsors, lenders, law firms, instruments, documents, and events into ranking and recommendation decisions.Production ML Engineering: Experience building feature pipelines, online and batch inference systems, low-latency ranking services, experimentation platforms, and monitoring for production machine learning systems.Strong ...

computer vision algorithms and models. Adapt off‐the‐shelf solutions for our specific needs and integrate them seamlessly into our product. End‐to‐End ML Lifecycle: Own the full machine‐learning lifecycle from ideation and development to testing, validation, and deployment. Ensure models are optimized for real‐time … ensure robust and scalable deployments. Qualifications A Master’s or PhD in Computer Science, Engineering, or a related field. 3+ years of experience in machine learning and computer vision, with practical application of generative models. Proficiency in Python and experience with deep‐learning frameworks such as PyTorch. ...

learning, or applied NLPStrong hands-on experience with:Search and retrieval systems (lexical, vector, hybrid)RAG pipelines and LLM-based systemsEvaluation methodologies for ML/IR/GenAIAdvanced programming skills in PythonExperience with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack)Experience working with Databricks … similar distributed data/ML platformsStrong understanding of experimentation design and statistical analysisPreferred qualificationsPhD in Computer Science, Data Science, Machine Learning, or a related fieldExperience working with large-scale datasets (scientific, biomedical, or enterprise data)Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef)Exposure ...

access to data at large scale is key to tackle the hardest problems in AD/ADAS, from developing the Machine Learning (ML) models for perception and prediction of human driving patterns, to increasing the sophistication of our validation and simulation by identifying rare and interesting real-world … London team is a key building block for developing and testing modern AD/ADAS products that will impact millions of customers. Our ML and Data pipelines are built on-top of the open-source Flyte orchestration framework and are deployed to AWS. Pipeline code is written in Python. ...

people working on them are extraordinary.We're growing our data and AI capability and looking for someone who genuinely loves working with data, machine learning, and generative AI to solve hard business problems. If you want your analytical work to drive real decisions — within a company that … tooling — for example Power Platform, Power Automate, or equivalent.Direct experience working with cloud data platforms, specifically Microsoft Azure/Fabric.Relevant certifications in AI/ML, Power BI or Microsoft Azure is desirable. Experience working across multiple business domains or in a centre of excellence/shared analytics function.Knowledge of data ...

lead development and deployment of cutting-edge AI systems for our diverse clients. You'll design, build, and deploy scalable, production-grade ML software and infrastructure that meets rigorous operational and ethical standards. This is an ambitious, cross-functional role requiring a blend of technical expertise, engineering leadership, and confident … client-facing skills. What you'll be doing: Leading technical scoping and architectural decisions for high-impact ML systems Designing and building production-grade ML software, tools, and scalable infrastructure Defining and implementing best practices and standards for deploying machine learning at scale across the business Collaborating with ...

learning solutions that power 1-to-1 personalization for some of the world's leading brands. In this role, you will:Design ML use cases from the ground up — scoping solutions that optimize for real business value, accounting for the complexity of modern marketing journeys, and proactively identifying … risks to set each engagement up for successBuild and own the full ML pipeline — taking customers' raw data through transformation, model training, and activation, so that model decisions are delivered to personalize experiences for millions of end usersDrive customer success by providing ongoing technical guidance that ensures data science performance ...

learning solutions that power 1-to-1 personalization for some of the world's leading brands. In this role, you will: Design ML use cases from the ground up — scoping solutions that optimize for real business value, accounting for the complexity of modern marketing journeys, and proactively identifying … risks to set each engagement up for success Build and own the full ML pipeline — taking customers' raw data through transformation, model training, and activation, so that model decisions are delivered to personalize experiences for millions of end users Drive customer success by providing ongoing technical guidance that ensures data ...

driving that turn car insurance into an engaging product rather than a box to tick.We own the full telematics stack (mobile SDK, on-device ML, cloud pipeline) and the full pricing stack. So we can link driving behaviour directly to claim type, frequency and severity, and feed one system … agenda and own the technical direction of that work, reporting to the Director of Data. You will lead three data scientists directly and three ML engineers with a dotted line to you. The split is roughly 60% leading, 40% hands-on.Our long-term ambition is driving behaviour modelling that holds ...

usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP).The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research … resources developed at Scale. As an Applied AI Engineer, you’ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life ...

environment backed by the Alphabet ecosystem, you will pioneer a robust, AI-first security architecture while remaining a velocity enabler for world-class ML researchers and drug discovery teams.What you will doTeam Leadership: Mentor and scale a world-class team of security engineers, fostering a culture of technical excellence, continuous … Cloud and Network Security, Secure SDLC, Security Monitoring, etc.Lead Key Transformation Projects: Lead unique, industry-pioneering technical projects that support the development of frontier ML models and new therapeutics.Cloud & Platform Security through AI: Oversee the security of our cloud infrastructure and platform leveraging AI and agentic workflows, enabling data-driven ...

through to delivering impact — and partnering with stakeholders to support data-informed decision-making.What you’ll be doing:Own the development and delivery of machine learning models for use cases such as churn prediction, purchase propensity, store recommendations, customer lifetime value. Translate business problems into modelling approaches, selecting … problem from definition through to solution and delivery, demonstrating initiative and ownership. Proficiency in Python and SQL, and familiarity with common data science and ML libraries. Solid understanding of machine learning techniques (e.g. regression, tree-based models, clustering) and when to apply them, including how to refine ...

responsible for the research, design, and continuous improvement of our execution algorithm platform. We combine deep expertise in market microstructure, statistical modelling, and machine learning with world-class engineering to build algorithms that optimise execution quality, minimise market impact, and adapt intelligently to real-time market conditions.Our work … clients.Continuous learners — You stay at the frontier of quantitative research, whether that means reading the latest papers on optimal execution, experimenting with new ML techniques, or learning from post-trade analytics.Culture carriers — You contribute to an inclusive, high-performance team culture. You are willing to mentor others, share knowledge ...

successful candidate will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, they will design and build modern machine learning and AI services that support analytics and improve products across the business. It’s a chance to work on a very modern … performance of data components. Improving engineering processes across the wider data community. Promoting high coding and data practice standards. Experimenting with emerging data, ML and AI technologies. Partnering with architects on data product designs. Working collaboratively in multi-functional agile squads. Supporting ML and GenAI infrastructure and workflows. Key Requirements ...

your research. Our position offers opportunities to grow your technical and non-technical skills and make a global impact immediately. Key job responsibilities Develop machine learning algorithms for high-scale recommendations problems Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making … into multiple observability features focussed on reducing the customer impact time. Basic Qualifications PhD, or a Master's degree and experience in CS, CE, ML or related field research Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related ...

translate them into scalable, production-ready solutions. Conduct forward-looking research on generative AI, multimodal learning, and representation learning. Identify emerging AI/ML techniques with high potential for retail and consumer analytics, shaping conceptual prototypes and feasibility assessments. Drive internal thought leadership by defining standards, sharing knowledge … advising product, engineering, and data science teams on ML adoption and best practices. Work with leading academic groups and private-sector research partners to co-develop new modelling approaches, run joint experiments, or explore cutting-edge AI applications. Mentor other data scientists and contribute to growing organisational capability in deep ...

translate them into scalable, production-ready solutions. Conduct forward-looking research on generative AI, multimodal learning, and representation learning. Identify emerging AI/ML techniques with high potential for retail and consumer analytics, shaping conceptual prototypes and feasibility assessments. Drive internal thought leadership by defining standards, sharing knowledge … advising product, engineering, and data science teams on ML adoption and best practices. Work with leading academic groups and private-sector research partners to co-develop new modelling approaches, run joint experiments, or explore cutting-edge AI applications. Mentor other data scientists and contribute to growing organisational capability in deep ...

stakeholder instincts to deliver products that people actually use, and the curiosity to push the boundary of what People Analytics can do through machine learning and AI. This is a senior individual contributor role with real scope. You will own a portfolio of stakeholder relationships … Business Partnering and Finance, responsible for both supporting existing products and delivering new ones. Machine learning and AI: Design, build, and deploy ML models and AI‐powered data products. Working from our People Analytics AI roadmap, you will identify high‐value use cases and deliver production‐grade solutions ...

product/service offerings that match the client's next-phase needs (for example: AI accelerators, intelligent automation, data platform builds, analytics and ML products, application modernisation) and help position them. Lead internal lessons-learned and continuous improvement: capture what works in the account, feed improvements back into Appvia … anticipates needs, and builds trust and long-term partnerships. Technical curiosity and continuous learning, staying ahead of software engineering, data and AI/ML developments and how they translate into client value. Collaborative style with the ability to work across internal teams, influence without direct authority, and build shared ...

situations. The successful applicant will play a hands-on role in shaping, building and deploying business solutions alongside stakeholders and other Data Scientists and ML Engineers. At a glanceHybrid working: This is a hybrid working role, therefore your time will primarily be split between working from home and Bracknell Head … technical best practices, and actively invest in applying AI tools to enhance productivity and workflow efficiency.Partner with multidisciplinary agile teams—including Senior Data Scientists, ML Engineers, Analysts, and Architects—to drive technical product delivery.Internally this role is known as Insight Manager, Data Science. Essential Skills and ExperienceHands-on Expertise: Proficient ...

situations. The successful applicant will play a hands-on role in shaping, building and deploying business solutions alongside stakeholders and other Data Scientists and ML Engineers. At a glanceHybrid working: This is a hybrid working role, therefore your time will primarily be split between working from home and Bracknell Head … technical best practices, and actively invest in applying AI tools to enhance productivity and workflow efficiency.Partner with multidisciplinary agile teams—including Senior Data Scientists, ML Engineers, Analysts, and Architects—to drive technical product delivery.Internally this role is known as Insight Manager, Data Science. Essential Skills and ExperienceHands-on Expertise: Proficient ...