2,551 to 2,575 of 7,741 Machine Learning Jobs in the UK

complex data insights into tangible business value. Responsibilities: Optimise Fraud Detection: Continuously improve automated decision-making in our in-house THG Detect platform using machine learning and decision rules. Enhance Payment Performance: Lead data-driven initiatives to boost payment authorisation rates, optimise transaction routing, and reduce costs. Drive … automation. Requirements: Proficient with SQL & Python Proficient in a data visualisation software (Tableau/Looker/PowerBI/e.t.c.) Experience using a variety of machine learning algorithms Able to communicate effectively; using data to tell a story and drive business change Experience within Google Cloud preferential THG Ingenuity ...

high-performing teams in a dynamic environment* (Desirable) Understanding of content management systems and best practices, with a preference for Sitecore* (Desirable) Knowledge of machine translation technologies and mechanisms, including integration of AI-driven translation services into enterprise architectures* (Desirable) Experience in development and deployment of generative … machine learning systems, with preference for AWS Bedrock and associated AI services* (Desirable) Experience in API management and API marketplace design* (Desirable) Experience working in a multi-cultural international organisation* Language(s): English (fluent)## Job Description* Provide architectural oversight, ownership, and guidance for the design and implementation ...

DeepMind link Copy link corporate_fare DeepMind place London, UK Share Research Engineer, Astra, DeepMind link Copy link Bachelor's degree in Computer Science, Machine Learning, a related technical field, or equivalent practical experience. 2 years of experience conducting research or engineering systems. 2 years of experience building … Python. 2 years of experience with agentic AI workflows, frameworks, and approaches. Preferred qualifications: Master's degree or PhD in Computer Science, Machine Learning, or a related field. Experience with data collection, model fine-tuning, and evaluation. Experience with inference optimization techniques or extensive prompt tuning. Track record ...

evolve the plan honestly when priorities or evidence change, rather than defending a roadmap past its usefulness. Act as a thought leader in AI, machine learning, agentic systems and analytics trends, embedding this into product direction and helping the business understand where autonomous AI creates step-change value … single team. Write clear specs, define acceptance criteria, and stay close through delivery. Partner with data science and engineering to spot where AI and machine learning genuinely improve the product, then design those capabilities so the output is explainable and trusted. Translate data collection and processing into visualisation ...

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/… defined problem statementsQualifications 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 ...

environments.Define and operationalise SLOs, SLIs, and error budgets across platform services.Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters.Partner with ML, platform, and software teams to establish clear production readiness standards.Incident Response & On-CallParticipate in a 24/7 on-call rotation as first-line response … experience.Essential skillsProven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems.Experience operating GPU-backed environments or large-scale ML infrastructure.Experience running model training or inference pipelines in production (MLOps).Strong Kubernetes experience, including operating production clusters.Hands-on experience running production workloads ...

fast-paced, high- performance, highly collaborative environment and demonstrate an ability to execute precisely and quickly. Candidates should possess technical fluency in AI, machine learning, operations research, physics, math, engineering, data integration, or computer science. Responsibilities: Develop and execute a comprehensive sales strategy to drive revenue growth within … engineering, science, computer science, or related technical field of study. Master’s or MBA degree preferred. Experience with and understanding of AI and Machine Learning is highly favorable. Exemplary written and oral communication skills. Excellent interpersonal, planning, and organisational skills. Strong analytical skills. Sales consulting or management consulting ...

operationalise SLOs, SLIs, and error budgets across platform services. Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters. Partner with ML, platform, and software teams to establish clear production readiness standards. Incident Response & On-CallParticipate in a 24/7 on-call rotation as first-line … skillsProven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems. Experience operating GPU-backed environments or large-scale ML infrastructure. Experience running model training or inference pipelines in production (MLOps).Strong Kubernetes experience, including operating production clusters. Hands-on experience running production workloads ...

that run on endpoints to detect signs of unauthorized or malicious activity. Continuously investigating new techniques to detect emerging forms of cybersecurity violations. Applying machine learning and statistical techniques to detect anomalies and identify suspicious or unexpected behavior. Researching and developing data identifiers (e.g. regular expressions) to detect … Strong programming skills, supported by several years of professional software engineering experience Experience with Java, C, C++, or similar languages, and an openness to learning Go Familiarity with Python , which shares syntax with Starlark (our embedded scripting language) and is commonly used to prototype models A strong interest ...

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. Job Responsibilities Take models ...

your skill and experience.Essential RequirementsYou will have a PhD in a relevant discipline and circa 10+ years of demonstrable experience in an AI/ML role in industry or academia, preferably in the Defence sector.You will have experience of previously leading R&D teams.You will have experience of previously undertaking … Engineering Assurance activities.Proposal writing experience is essential.Of particular interest are candidates with experience in one or more of the following domains:AI/ML for imagery including applied to remote sensing applications.Reinforcement learning.Natural Language Processing.Large Language Models.Knowledge graphs and graph-based neural nets.AI/ML for RF and EW, radar ...

skill and experience. Essential RequirementsYou will have a PhD in a relevant discipline and circa 10+ years of demonstrable experience in an AI/ML role in industry or academia, preferably in the Defence sector. You will have experience of previously leading R&D teams. You will have experience … Assurance activities. Proposal writing experience is essential. Of particular interest are candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ ...

client's challenges! It would be great if you also had experience in some of these, but if not well help you with them Machine Learning softwaree.g. Amazon and Azure machine learning, or Google'sTensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure … dedicated Career Manager to help you develop your career and guide you on your journey through BAE Dont know a particular technology? Your learning and development is key to your future career and we provide a range of excellent training courses to enable you to upskill in a given ...

portfolio of consumer technology products, including artificial intelligence platforms, devices and subscription-based services. Despite the formal title, this is not a traditional machine-learning or advanced data science role. The position is focused on digital marketing analytics, audience intelligence, campaign targeting, dashboard creation, A/B testing … insights they identified The recommendations they made The impact their work had on campaign targeting, performance or business decisions Candidates focused primarily on machine learning, advanced predictive modelling or highly technical data science are unlikely to be suitable. The strongest candidate will combine digital marketing knowledge, practical analytics ...

maintain robust logical and physical data models within GCP BigQuery. Develop scalable data structures and data integration approaches that can support future AI, machine learning, and advanced analytics capabilities. Ensure data quality, consistency, governance, and integrity across multiple enterprise data sources. Support data mapping, transformation, and optimisation activities … querying, transforming, and optimising data. Deep knowledge of data architecture and data management practices within cloud environments. Additional Skills & Qualifications experience supporting AI, machine learning, or advanced analytics initiatives with well-structured datasets. Knowledge of operational resilience, risk, regulatory, or financial services environments. Understanding of cloud data architecture ...

time-to-market against new threat vectors.The AI & Automation Foundation: Set the architectural and product blueprint for augmenting human intelligence. You will integrate machine learning, LLMs, and smart automation into the daily workflow of analysts—from automated data summarization and predictive task routing to AI "copilots" that draft … consumers. You understand the intricate architecture required for high-availability, low-latency workflows.AI & Automation Intuition: You don't need to be a machine learning engineer, but you know how to productize data science. You look at a manual operational workflow and immediately see how smart heuristics, predictive models ...

such as Microsoft Fabric. Produce curated data models for analytical tools including Power BI. Support the development of statistical and predictive data models, including machine learning use cases where relevant. Maintain and enhance the organisation's data and analytics platform to ensure performance, reliability and scalability. Identify opportunities … frameworks and best practice. Good understanding of data architecture principles and concepts such as medallion architecture, star schemas and slowly changing dimensions. Awareness of machine learning techniques and their application within a data environment would be beneficial. Knowledge of GDPR, data governance and data protection best practice. Understanding ...

time-to-market against new threat vectors. The AI & Automation Foundation: Set the architectural and product blueprint for augmenting human intelligence. You will integrate machine learning, LLMs, and smart automation into the daily workflow of analysts—from automated data summarization and predictive task routing to AI "copilots" that … consumers. You understand the intricate architecture required for high-availability, low-latency workflows. AI & Automation Intuition: You don't need to be a machine learning engineer, but you know how to productize data science. You look at a manual operational workflow and immediately see how smart heuristics, predictive ...

part of a pioneering Analytics Team dedicated to enhancing processes and systems. This role offers exposure to extensive data projects encompassing data analytics, programming, machine learning and Research and Development, giving you a chance to take a senior role and lead several high profile projects. Collaborating across SCOR … Good knowledge or experience of coding Python and/or R or the desire to learn coding.Desirable:Interest or knowledge of data science and machine learning technique Some Actuarial training (actuarial trainees or those who have given up exams will both be considered)Pricing experience with Knowledge ...

deliver reliable customer outcomes. Customer engagement and enablement Deliver technical demos, workshops, architecture reviews, and proof‐of‐concepts that move opportunities forward. Explain machine learning clearly to engineers, operators, executives, and other non‐technical audiences. Build trusted relationships and manage technical stakeholders from evaluation through production. Ecosystem contribution … deployments. Skills and experience Core requirements Strong Python and practical experience with YOLO, OpenCV, PyTorch, and computer vision. Experience training, optimizing, evaluating, and deploying machine learning models. Comfortable with Docker, Git, REST APIs, Linux, cloud platforms, and edge workflows. Experience deploying across Linux, macOS, and Windows environments. Proven ...

part of a pioneering Analytics Team dedicated to enhancing processes and systems. This role offers exposure to extensive data projects encompassing data analytics, programming, machine learning and Research and Development, giving you a chance to take a senior role and lead several high profile projects. Collaborating across SCOR … Good knowledge or experience of coding Python and/or R or the desire to learn coding. Interest or knowledge of data science and machine learning technique Some Actuarial training (actuarial trainees or those who have given up exams will both be considered) Pricing experience with Knowledge ...

Degree, HND or equivalent qualification in a relevant engineering or software discipline.• Eligible to obtain UK Security Clearance (SC).DESIRABLE SKILLS:• Experience with AI, Machine Learning or autonomous systems.• Knowledge of containerisation and cloud deployment technologies.• Experience with large-scale data integration programmes.• Understanding of software architecture governance … mission “Let’s Tech Together,” and helping to build a digital future that is sustainable, at the heart of an environment that values learning & collaboration.GROUPE SIIWho are we With five strategic offices in Belfast, Chester, Farnborough, London and Oxford, we work in partnership with our customers UK-wide ...

only company pioneering leadership coaching for large enterprises in an AI-first way.Our mission is to transform how the world\'s biggest companies approach learning and development, helping teams work better together throughAI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We\'ve been featured inHarvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America.Our clients represent the most diverse and sophisticated enterprise AI implementations globally, includingCoca-Cola, Delta, Nestlé, General Mills, Schneider Electric ...

customer value; Partner with stakeholders across Engineering, Operations and Product organisations. Требования Extensive software engineering experience delivering production-scale solutions; Experience building AI or machine learning systems in enterprise environments; Demonstrated experience moving AI solutions from proof of concept into production; Strong understanding of software architecture, engineering standards … highly complex problems; Excellent stakeholder engagement and communication skills; Collaborative leadership through influence; Commitment to responsible and ethical AI development; Passion for continuous learning and innovation; Nice to have: Experience within Financial Services or highly regulated environments, knowledge of Service Reliability Engineering principles, experience developing AI-powered operational tooling ...

join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future … Hybrid: Demonstrated experience in a role that blends product management (defining the "what" and "why") with software engineering (defining the "how"). 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 ...